Academic literature on the topic 'Breast Tumors Tomography'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Breast Tumors Tomography.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Breast Tumors Tomography"
1
Kelly, Catherine M., Clare Smith, Susan Conlon, Reem Salman, John McCaffrey, and Emmet Jordan. "Positron emission tomography/computed tomography (PET/CT) as a biomarker of pathologic response to neoadjuvant chemotherapy in breast carcinoma." Journal of Clinical Oncology 30, no. 15_suppl (May 20, 2012): e21147-e21147. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.e21147.
Full textAbstract:
e21147 Background: Pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast carcinoma is prognostic. Predictive biomarkers for pCR include early response to NAC, estrogen receptor (ER) negativity, HER2 positivity, and high Ki67. We assessed whether absence of fluoro-deoxy glucose (FDG) uptake measured by standardized uptake value (SUV) after NAC would predict pCR. Methods: We identified 23 patients (pts) who had PET/CT scanning pre and post NAC. We examined breast cancer subtype, chemotherapy (CT) regimen, number of cycles of CT given, clinical and pathological staging data and changes in SUV in the breasts and lymph nodes pre and post NAC. pCR was defined as no residual cancer in the breast or axillary lymph nodes. Results: Median age at diagnosis was 46 years (IQR; 37 to 56). Median tumor size at diagnosis was 30mm (IQR; 25 to 43) and 19 pts (83%) had node positive breast cancer. Most tumors were ductal (n=22) with 1 lobular cancer. Preoperatively 95% received all CT. All HER2+ pts received Trastuzumab. Anthracycline/taxane based regimens were most frequently given in 22 cases, 1 received lapatinib/trastuzumab. Five tumors (21.7%) were ER+/HER2+; 14 (60.9%) ER+/HER2-; 2 (8.7%) ER-/HER2+ and 2 (8.7%) were ER-/HER2-. All tumors were high (n=9, 39.1%) or intermediate grade (n=14, 61%). SUV was significantly lower post NAC (p=0.035). We observed no SUV uptake in breast or lymph nodes in 15 cases (65.2%) post NAC, these corresponded to; ER+HER2+ 4/5 (80%); ER+HER2- 7/15 (46.7%); ER-HER2- 2/2(100%), ER-HER2+ 2/2(100%). Absent SUV uptake post NAC was associated with a pCR (breast and lymph nodes) in 5/15 (33%) of pts (ER+HER2+ n=1, ER+HER2- n=1, ER-HER2- n=2, ER-HER2+ n=1). Ten of 15 tumors (67%) had no SUV uptake in the breast post NAC and 7 (47%) were associated with a pCR. There was a trend toward increased odds of pCR with no SUV uptake post NAC (OR 2.76; 95% CI 0.85 to 8.94: P= 0.09). Overall rate of pCR was 21.7% (n=5). Conclusions: A non-statistically significant trend toward increased odds of pCR with no SUV uptake post NAC was observed. Larger subtype-specific breast cancer cohorts will be required to determine the value of PET/CT as a predictive biomarker for pCR.
2
Titskaya, Anna, Vladimir Chernov, Elena Slonimskaya, Ivan Sinilkin, and Roman Zelchan. "Radionuclide Diagnosis of Breast Cancers." Advanced Materials Research 1084 (January 2015): 460–63. http://dx.doi.org/10.4028/www.scientific.net/amr.1084.460.
Full textAbstract:
To study the diagnostic capabilities of planar breast scintigraphy and single photon emission computed tomography (SPECT) with 99mTc-MIBI in visualizing of breast tumors, 61 patients with a diagnosis of breast cancer were included in the study. The results showed that sensitivity of the planar mode in identifying primary breast tumors was 46%. The sensitivity of SPECT in detecting primary tumor was 93.4%. The sensitivity of the planar mode in visualization of nodal metastases was 44.8%, against 93.1% in SPECT. This study showed that SPECT has a high diagnostic efficiency in regard of visualization of small sized tumors, multicenter tumor growth, identifying space-occupying lesions on the background of modified breast tissue.
3
Dose, J., N. Avril, H. Graeff, and F. Jänicke. "Positron Emission Tomography for Diagnosis of Breast Tumors." Oncology Research and Treatment 20, no. 3 (1997): 190–95. http://dx.doi.org/10.1159/000218937.
Full text
4
Koolen, B. B., W. V. Vogel, M. J. T. F. D. Vrancken Peeters, C. E. Loo, E. J. Th Rutgers, and R. A. Valdés Olmos. "Molecular Imaging in Breast Cancer: From Whole-Body PET/CT to Dedicated Breast PET." Journal of Oncology 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/438647.
Full textAbstract:
Positron emission tomography (PET), with or without integrated computed tomography (CT), using 18F-fluorodeoxyglucose (FDG) is based on the principle of elevated glucose metabolism in malignant tumors, and its use in breast cancer patients is frequently being investigated. It has been shown useful for classification, staging, and response monitoring, both in primary and recurrent disease. However, because of the partial volume effect and limited resolution of most whole-body PET scanners, sensitivity for the visualization of small tumors is generally low. To improve the detection and quantification of primary breast tumors with FDG PET, several dedicated breast PET devices have been developed. In this nonsystematic review, we shortly summarize the value of whole-body PET/CT in breast cancer and provide an overview of currently available dedicated breast PETs.
5
Hajibeigi, Asghar, Khaled Nasr, Durga Udayakumar, Kien Nham, and Robert E. Lenkinski. "Breast Tumor Microcalcification Induced by Bone Morphogenetic Protein-2: A New Murine Model for Human Breast Tumor Diagnosis." Contrast Media & Molecular Imaging 2018 (November 11, 2018): 1–9. http://dx.doi.org/10.1155/2018/2082154.
Full textAbstract:
Widespread use of screening mammography has recently increased the detection of breast microcalcifications. These nonpalpable microcalcifications with specific features in breast tissues are clinically considered an early indicator of breast carcinoma. Our goal in this study was to develop a murine breast microcalcification model for optimizing in vivo imaging. Recombinant human BMP-2 was expressed in E. coli, and the purified bioactive protein was used as inducing factor for the production of breast microcalcifications in a murine animal model. Syngeneic breast tumors were obtained by injection of MDA-MB-231 human breast cancer cells with Matrigel into the mammary fat pad of female nude mice. Different doses of bioactive rhBMP-2 were administered either as single or multiple intraperitoneal injections or directly into tumor on a weekly basis. Three weeks after the first injection of rhBMP-2, the microcalcification of breast tumor was detected by microcomputed tomography followed by intravenous injection of radiotracer [18F] Sodium fluoride for positron emission tomography imaging. Our findings indicate that rhBMP-2 induced microcalcifications of breast tumor by both systemic and direct injection of rhBMP-2 into tumors in a dose-dependent manner. Although little is known about the molecular mechanism of microcalcification, here we report a new murine model of human breast tumor induced microcalcification by rhBMP-2 to optimize in vivo imaging methods and to study the role of BMP-2 as a mediator of pathological mineralization and bone-like microcalcification formation in breast tumor. This BMP-2-induced microcalcification model may allow us to discriminate the type of microcalcification in tumors and to perform quantitative analysis on the calcification as a new detection strategy for early identification of pathological mineralization of breast tissues in women.
6
Xiao, Xuehua, Fengping Gan, and Haixia Yu. "Tomographic Ultrasound Imaging in the Diagnosis of Breast Tumors under the Guidance of Deep Learning Algorithms." Computational Intelligence and Neuroscience 2022 (February 28, 2022): 1–7. http://dx.doi.org/10.1155/2022/9227440.
Full textAbstract:
This study was aimed to discuss the feasibility of distinguishing benign and malignant breast tumors under the tomographic ultrasound imaging (TUI) of deep learning algorithm. The deep learning algorithm was used to segment the images, and 120 patients with breast tumor were included in this study, all of whom underwent routine ultrasound examinations. Subsequently, TUI was used to assist in guiding the positioning, and the light scattering tomography system was used to further measure the lesions. A deep learning model was established to process the imaging results, and the pathological test results were undertaken as the gold standard for the efficiency of different imaging methods to diagnose the breast tumors. The results showed that, among 120 patients with breast tumor, 56 were benign lesions and 64 were malignant lesions. The average total amount of hemoglobin (HBT) of malignant lesions was significantly higher than that of benign lesions (P < 0.05). The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of TUI in the diagnosis of breast cancer were 90.4%, 75.6%, 81.4%, 84.7%, and 80.6%, respectively. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of ultrasound in the diagnosis of breast cancer were 81.7%, 64.9%, 70.5%, 75.9%, and 80.6%, respectively. In addition, for suspected breast malignant lesions, the combined application of ultrasound and tomography can increase the diagnostic specificity to 82.1% and the accuracy to 83.8%. Based on the above results, it was concluded that TUI combined with ultrasound had a significant effect on benign and malignant diagnosis of breast cancer and can significantly improve the specificity and accuracy of diagnosis. It also reflected that deep learning technology had a good auxiliary role in the examination of diseases and was worth the promotion of clinical application.
7
Liu, S. Shawn, Krutika Patel, Donna Lynn Dyess, and Andrea Kahn. "Primary Smooth Muscle Tumor of Breast: An Unusual Case Presentation." American Journal of Clinical Pathology 152, Supplement_1 (September 11, 2019): S41. http://dx.doi.org/10.1093/ajcp/aqz113.011.
Full textAbstract:
Abstract Introduction Primary smooth muscle tumors (SMT) of the breast are rare with leiomyosarcomas representing less than 0.1% of all malignant breast tumors. Case Presentation A 58-year-old female with no significant past medical history noted on screening mammography to have a circumscribed 6-mm nodule in the right breast, upper outer quadrant. Core needle biopsy showed a spindle cell neoplasm with smooth muscle differentiation. The excisional biopsy showed a 6-mm lesion composed of atypical hyperchromatic spindle cells in fascicles, marked nuclear pleomorphism, and 5 mitoses per 10 high-power fields. By immunohistochemistry, the spindle cells were positive for smooth muscle actin, desmin, and negative for S-100 and cytokeratin AE1/AE3. Positron emission tomography/computed tomography of head/neck, chest, abdomen, and pelvis did not identify other neoplasms. Despite the lesion size, findings were supportive of a leiomyosarcoma. Discussion Breast SMTs have nonspecific clinical or imaging features. Histologically, these present as spindle cell tumors with smooth muscle differentiation. Initial workup starts with distinction between benign and malignant neoplasms. The malignant SMTs are usually large tumors with cytologic atypia and mitotic activity used as diagnostic criteria. In addition, the distinction between primary and metastasis is important and frequently relies on clinical history and exclusion of other primary origins by radiographic survey. In the current case, although the tumor size is unusually small, the histological features and absence of other primary malignancies support the diagnosis of a leiomyosarcoma. Conclusion Primary leiomyosarcoma of breast is extremely uncommon with less than 70 cases reported in the literature. Although they are usually large tumors, this diagnosis should be included in the differential diagnosis when smooth muscle differentiation, significant atypia, and mitoses are encountered in a spindle cell tumor of the breast.
8
Khalil, Muhammad Hassan, Li Jie, and Jia Dong Xu. "Mathematical Analysis of Microwave Tomography: The Reconstruction Problem of Malignant Tumor." Applied Mechanics and Materials 332 (July 2013): 527–33. http://dx.doi.org/10.4028/www.scientific.net/amm.332.527.
Full textAbstract:
Early breast cancer detection is an emerging field of research as it can save many lives infected by malignant tumors. Microwave imaging is one of the main pillars in biomedical fields of comprehensive cancer care. The mathematical theory of microwave tomography involves solving an image reconstruction problem for Maxwell’s equations. In this research contribution, we analyze the potential of an image reconstruction model for the early detection of breast tumors from microwave tomography method. The detection of early-stage tumors within the breast by microwave tomography imaging is challenged by both the moderate endogenous dielectric contrast between healthy and malignant glandular tissues and the spatial resolution available from illumination at microwave frequencies. The formulation as a shape-reconstruction problem offers several advantages compared to more traditional pixel-based schemes, to mention, in particular, well defined boundaries and the incorporation of an intrinsic regularization that reduces the dimensionality of the inverse problem whereby at the same time stabilizing the reconstruction. We present in this paper a novel strategy that can detect very small tumors compared to the wavelength used for illuminating the breast. In addition, our algorithm can determine the sizes and the dielectric properties of the tumors with good accuracy.
9
Popova, N. S., S. N. Novikov, P. I. Krzhivitskiy, L. A. Zhukova, P. V. Krivorotko, A. S. Artemyeva, A. E. Michnin, et al. "Diagnostic capabilities of breast scintigraphy and molecular imaging of the mammary glands in the detection of various biological subtypes of breast cancer." Tumors of female reproductive system 18, no. 3 (December 1, 2022): 14–23. http://dx.doi.org/10.17650/1994-4098-2022-18-3-14-23.
Full textAbstract:
Background. The accurate and early diagnosis of breast cancer can improve efficacy of the treatment. The standard diagnostic methods such as mammography, ultrasound, and magnetic resonance tomography have a pivotal role in the detection of breast tumors, however, in some cases, they have low diagnostic accuracy. Mammoscintigraphy (MSG) / molecular breast imaging (MBI) with tumor-specific radiopharmacy 99mTc-Technetril in patients with breast cancer can considerably increase the accuracy of diagnosis. However, the diagnostic performance of MSG / MBI in the detection of different biological subtypes of breast cancer is still under investigation.Aim. To evaluate the accuracy of MSG / MBI with 99mTc-Technetril in diagnosis of different biological subtypes of breast cancer.Materials and methods. The analysis included the results of MSG / MBI of 1080 patients (2154 mammary glands), who were examined for suspected breast cancer. MSG / MBI were performed 5–15 min after intravenous injection into the vein of one of the feet of 370–740 MBq of tumor-specific radiopharmacy 99mTc-Technetril. Examinations performed from 2007–2020 was carried out on the emission computed tomography Forte (Philips); since 2020 the molecular visualization has been providing on the special gamma-camera Discovery NM750b (General Electric). The obtained data were evaluated by 2 experienced radiologists. Verification of changes in breasts was provided by morphological examination (1060 cases) or dynamic observation.Results. The sensitivity, specificity and overall accuracy of MSG / MBI were 90 %, 98 %, 95 % correspondingly. When diagnosing tumors with a diameter of up to 10 mm, the sensitivity of MSG / MBI was decreased to 83 %. In patients with various biological subtypes, the sensitivity of MSG / MBI was as follows: luminal A – 88 %; luminal B– – 91 %; luminal B+ – 92 %; triple negative – 93 %; HER2-positive – 96 %. The intensity of tumor uptake depended on the biological subtype of breast cancer. The average values of the 99mTc-Technetril uptake coefficient were as follows: luminal A – 1.59; luminal B– – 1.71; luminal B+ – 1.95; triple negative – 1.93; HER2-positive – 2.22.Conclusion. Retrospective analysis indicate high diagnostic performance of MSG / MBI: sensitivity – 90 %, specificity – 98 %, accuracy – 95 %. There are significant differences in the intensity of 99mTc-Technetril accumulation in tumors in patients with different biological subtypes of breast cancer (p = 0.01–0.004). MSG / MBI characterized by significant differences in the sensitivity in the diagnosis of luminal A and HER2+ breast cancer subtypes: 88 % and 96 %, respectively (p = 0.02).
10
Gómez-Cortés, Juan Carlos, José Javier Díaz-Carmona, José Alfredo Padilla-Medina, Alejandro Espinosa Calderon, Alejandro Israel Barranco Gutiérrez, Marcos Gutiérrez-López, and Juan Prado-Olivarez. "Electrical Impedance Tomography Technical Contributions for Detection and 3D Geometric Localization of Breast Tumors: A Systematic Review." Micromachines 13, no. 4 (March 23, 2022): 496. http://dx.doi.org/10.3390/mi13040496.
Full textAbstract:
Impedance measuring acquisition systems focused on breast tumor detection, as well as image processing techniques for 3D imaging, are reviewed in this paper in order to define potential opportunity areas for future research. The description of reported works using electrical impedance tomography (EIT)-based techniques and methodologies for 3D bioimpedance imaging of breast tissues with tumors is presented. The review is based on searching and analyzing related works reported in the most important research databases and is structured according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) parameters and statements. Nineteen papers reporting breast tumor detection and location using EIT were systematically selected and analyzed in this review. Clinical trials in the experimental stage did not produce results in most of analyzed proposals (about 80%), wherein statistical criteria comparison was not possible, such as specificity, sensitivity and predictive values. A 3D representation of bioimpedance is a potential tool for medical applications in malignant breast tumors detection being capable to estimate an ap-proximate the tumor volume and geometric location, in contrast with a tumor area computing capacity, but not the tumor extension depth, in a 2D representation.
Dissertations / Theses on the topic "Breast Tumors Tomography"
1
Sze, Gerald. "Detection of breast cancer with electrical impedance mammography." Thesis, University of Sussex, 2012. http://sro.sussex.ac.uk/id/eprint/39460/.
Full textAbstract:
Electrical Impedance Tomography (EIT) is a medical imaging technique that reconstructs internal electrical conductivity distribution of a body from impedance data that is measured on the body surface, and Electrical Impedance Mammography (EIM) is the technique that applies EIT in breast cancer detection. The use of EIM for breast cancer identification is highly desirable because it is a non-invasive and low-cost imaging technology. EIM has the potential in detecting early stage cancer, however there are still challenges that hindering EIM to be provided as a routine health care system. There are three major groups of obstacles. One is the hardware design, which includes the selection of electronic components, electrode-skin contacting methods, etc. Second is theoretical problems such as electrode configurations, image reconstruction and regularization methods. Third is the development of analysis methods and generation of a cancerous tissue database. Research reported in this thesis strives to understand these problems and aims to provide possible solutions to build a clinical EIM system. The studies are carried out in four parts. First the functionalities of the Sussex Mk4 EIM system have been studied. Sensitivity of the system was investigated to find out the strength and weakness of the system. Then work has been made on image reconstruction and regularization methods in order to enhance the system's endurance to noise, also to balance the reconstruction conductivity distribution throughout the reconstructed object. Then a novel cancer diagnosis technique was proposed. It was developed based on the electrical property of human breast tissue and the behaviour or systematic noise, to provide repeatable results for each patient. Finally evaluation has been made on previous EIM systems to find out the major problems. Based on sensitivity analysis, an optimal combined electrode configuration has been proposed to improve sensitivity. The system has been developed and produced meaningful clinical images. The work makes significant contributions to society. This novel cancer diagnosis method has high accuracy for cancer identification. The combined electrode configuration has also provided flexibilities in the designing of current driving and voltage receiving patterns, thus sensitivity of the EIM system can be greatly improved.
2
Beqo, Nevis. "An investigation into combining electrical impedance mammography with 3D ultrasound for breast cancer detection." Thesis, University of Sussex, 2013. http://sro.sussex.ac.uk/id/eprint/46055/.
Full textAbstract:
Worldwide, breast cancer accounts for 22% of all cancer incidences in women, causing 458,503 deaths per annum [WHO 2008]. The most common screening method is X-ray mammography, an ionising method, which has many technical and age group limitations and has come under scrutiny for accuracy and safety on many occasions. Electrical Impedence Mammography (EIM) is a novel, non-invasive, non-ionising imaging modality based on bioimpedence. Initial test results show it as very promising; however the image resolution is quite low. Ultrasound imaging is widely used for high-resolution medical imaging and clinical diagnostics. Ultrasound is non-invasive and is effective in imaging soft body tissue, including subcutaneous structures and organs, but fails to distinguish tissue type. Merging the information of the above modalities and integrating them in an automated device offers a safe, non-invasive, fast, higher accuracy, breast cancer detection method for all age groups. To explore the proposed system, the work was divided into cumulative integrative stages: investigation of the technical challenges of a real world breast scanner device for each modality and the combination of both, including engineering, repeatability, safety and ergonomics, to adhere to medical device standards; data acquisition systems design, signal processing and calibration; image geometry correction; 3D image reconstruction; volumetric merger and visualisation; validation with dual modality scans on phantom and in-vivo; DICOM image porting. These modalities were successfully combined in a unified automated breast scanner that can accommodate and scan 95% of women (breast volume up to 1200cc) in a safe and comfortable way. Data acquisition and scan time achieved is five minutes per breast. The image results achieved from this research complement each other by integrating the boundary information of Ultrasound with the impedence data and tissue discrimination of EIM, therefore potentially providing a more complete and accurate cancer diagnostic method. The images were successfully ported into the DICOM radiology imaging standard therefore becoing platform independent. This work concluded with over twenty academic publications and two filed patents on the technology of a breast scanner and on the methodology of its imaging.
3
Uthoff, Johanna Mariah. "Cancer risk assessment using quantitative imaging features from solid tumors and surrounding structures." Diss., University of Iowa, 2019. https://ir.uiowa.edu/etd/6869.
Full textAbstract:
Medical imaging is a powerful tool for clinical practice allowing in-vivo insight into a patient’s disease state. Many modalities exist, allowing for the collection of diverse information about the underlying tissue structure and/or function. Traditionally, medical professionals use visual assessment of scans to search for disease, assess relevant disease predictors and propose clinical intervention steps. However, the imaging data contain potentially useful information beyond visual assessment by trained professional. To better use the full depth of information contained in the image sets, quantitative imaging characteristics (QICs), can be extracted using mathematical and statistical operations on regions or volumes of interests. The process of using QICs is a pipeline typically involving image acquisition, segmentation, feature extraction, set qualification and analysis of informatics. These descriptors can be integrated into classification methods focused on differentiating between disease states. Lung cancer, a leading cause of death worldwide, is a clear application for advanced in-vivo imaging based classification methods.
We hypothesize that QICs extracted from spatially-linked and size-standardized regions of surrounding lung tissue can improve risk assessment quality over features extracted from only the lung tumor, or nodule, regions. We require a robust and flexible pipeline for the extraction and selection of disease QICs in computed tomography (CT). This includes creating an optimized method for feature extraction, reduction, selection, and predictive analysis which could be applied to a multitude of disease imaging problems. This thesis expanded a developmental pipeline for machine learning using a large multicenter controlled CT dataset of lung nodules to extract CT QICs from the nodule, surrounding parenchyma, and greater lung volume and explore CT feature interconnectivity. Furthermore, it created a validated pipeline that is more computationally and time efficient and with stability of performance. The modularity of the optimized pipeline facilitates broader application of the tool for applications beyond CT identified pulmonary nodules.
We have developed a flexible and robust pipeline for the extraction and selection of Quantitative Imaging Characteristics for Risk Assessment from the Tumor and its Environment (QIC-RATE). The results presented in this thesis support our hypothesis, showing that classification of lung and breast tumors is improved through inclusion of peritumoral signal. Optimal performance in the lung application achieved with the QIC-RATE tool incorporating 75% of the nodule diameter equivalent in perinodular parenchyma with a development performance of 100% accuracy. The stability of performance was reflected in the maintained high accuracy (98%) in the independent validation dataset of 100 CT from a separate institution. In the breast QIC-RATE application, optimal performance was achieved using 25% of the tumor diameter in breast tissue with 90% accuracy in development, 82% in validation. We address the need for more complex assessments of medically imaged tumors through the QIC-RATE pipeline; a modular, scalable, transferrable pipeline for extracting, reducing and selecting, and training a classification tool based on QICs. Altogether, this research has resulted in a risk assessment methodology that is validated, stable, high performing, adaptable, and transparent.
4
He, Lian. "NONCONTACT DIFFUSE CORRELATION TOMOGRAPHY OF BREAST TUMOR." UKnowledge, 2015. http://uknowledge.uky.edu/cbme_etds/33.
Full textAbstract:
Since aggressive cancers are frequently hypermetabolic with angiogenic vessels, quantification of blood flow (BF) can be vital for cancer diagnosis. Our laboratory has developed a noncontact diffuse correlation tomography (ncDCT) system for 3-D imaging of BF distribution in deep tissues (up to centimeters). The ncDCT system employs two sets of optical lenses to project source and detector fibers respectively onto the tissue surface, and applies finite element framework to model light transportation in complex tissue geometries. This thesis reports our first step to adapt the ncDCT system for 3-D imaging of BF contrasts in human breast tumors. A commercial 3-D camera was used to obtain breast surface geometry which was then converted to a solid volume mesh. An ncDCT probe scanned over a region of interest on the breast mesh surface and the measured boundary data were used for 3-D image reconstruction of BF distribution. This technique was tested with computer simulations and in 28 patients with breast tumors. Results from computer simulations suggest that relatively high accuracy can be achieved when the entire tumor was within the sensitive region of diffuse light. Image reconstruction with a priori knowledge of the tumor volume and location can significantly improve the accuracy in recovery of tumor BF contrasts. In vivo ncDCT imaging results from the majority of breast tumors showed higher BF contrasts in the tumor regions compared to the surrounding tissues. Reconstructed tumor depths and dimensions matched ultrasound imaging results when the tumors were within the sensitive region of light propagation. The results demonstrate that ncDCT system has the potential to image BF distributions in soft and vulnerable tissues without distorting tissue hemodynamics. In addition to this primary study, detector fibers with different modes (i.e., single-mode, few-mode, multimode) for photon collection were experimentally explored to improve the signal-to-noise ratio of diffuse correlation spectroscopy flow-oximeter measurements.
5
Cheyne, Richard William. "The development of targeted TiO2 nanoparticles for the detection of trastuzumab responsive breast tumours by positron emission tomography." Thesis, University of Aberdeen, 2011. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=182244.
Full textAbstract:
Screening of breast cancer patients for their tumour's prognostic marker status is necessary in determining the most suitable course of treatment. This is particularly important in the assessment of HER-2 expression status in identifying candidates who may respond to trastuzumab therapy. Current methods are limited in their effectiveness in accurately determining actual marker status.Discussed herein is an investigation into the development of a titanium dioxide nanoparticle system which may be applied as a medical imaging methodology through the use of positron emission tomography to gauge accurately a patient's HER-2 expression status in identifying candidates for trastuzumab therapy. The initial synthesis of organically coated ultra-small titanium dioxide nanoparticles is discussed in depth with respect to a range of coating molecules and further functionalisation. Additionally, methodology to elicit an exchange of these coat molecules is explored in detail resulting in the generation of TiO2 nanoparticles capable of forming long-term stable suspensions in water. An exploration of the synthesis of fluoride accepting groups for use in generating radiolabelled compounds is explored both successfully and unsuccessfully leading to the development of conditions suitable for radiolabelling aryltrifluoroborate compounds. Attempts to then combine these radionuclide accepting groups with biologically compatible TiO2 nanoparticles are discussed as an initial step toward the generation of a potential PET tracer. However, while this conjugation was achieved, a successful demonstration of the radiolabelling was not achieved requiring further focus on modulating the nanoparticle to easily allow its recovery from such reactions. Finally, an investigation into the effects of trastuzumab and cetuximab on FDG uptake by cells in vitro is discussed with respect to the potential of monitoring disease response to these drugs with conventional FDG-PET.
6
Boughdad, Sarah. "Contributions of radiomics in ¹⁸F-FDG PET/CT and in MRI in breast cancer." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS500.
Full textAbstract:
Le cancer du sein est une pathologie fréquente pour lequel les examens TEP/TDM au ¹⁸F-FDG et IRM mammaire sont fréquemment réalisés en routine. Il existe cependant une sous-utilisation des informations apportées par chacune de ces techniques d'imagerie. En pratique, l’interprétation de ces examens est principalement basée sur l’analyse visuelle et l'analyse « quantitative » se résume généralement au SUVmax seul en TEP/TDM et à l’étude du rehaussement du signal après injection de produit de contraste en IRM mammaire (DCE-MRI). L’arrivée de nouvelles machines hybrides TEP/ IRM, nous a amené à évaluer l'apport d’une quantification avancée des images issues de chacune de ces modalités séparément et en combinaison. Cela rejoint un domaine en expansion « la radiomique » qui consiste à extraire un grand nombre de caractéristiques quantitatives des images médicales pour décrypter l’hétérogénéité tumorale ou améliorer la prédiction du pronostic.L’objectif de notre travail était d’étudier l’apport des données radiomiques extraites de l’imagerie TEP au ¹⁸F-FDG et de l’IRM avec injection de produit de contraste réalisées avant traitement pour caractériser l’hétérogénéité tumorale dans le cancer du sein, en prenant en compte les différents sous-types moléculaires de cancer du sein, à savoir les tumeurs luminales (Lum A, Lum B HER2- et Lum B HER2+), triple-négatives et HER2+. Une importance particulière a été portée sur la valeur prédictive des informations radiomiques extraites de ces 2 techniques d’imagerie pour prédire le pronostic dans un groupe de patientes traitées par chimiothérapie néo-adjuvante. L’influence de variations physiologiques telles que l’âge sur le calcul des données radiomiques dans le tissu mammaire normal et cancéreux séparément a également été explorée, de même que la variabilité multicentrique des index radiomiques. L’extraction de ces données radiomiques a été effectuée grace au logiciel LiFex développé au sein du laboratoire IMIV sur une base de données-patientes recueillie en rétrospective.Nous avons rapporté pour la première fois l’influence de l’âge sur le calcul des indices « radiomiques » en TEP dans le tissu mammaire sain dans 2 institutions différentes mais aussi dans les tumeurs mammaires notamment celle triple-négatives. Des associations significatives entre le « phénotype tumoral radiomique » en imagerie TEP et IRM et des données pronostiques reconnues dans le cancer du sein ont été mises en évidence. En outre, nous avons démontré l’existence d’une grande variabilité pour le « profil radiomique » en TEP parmi les tumeurs présentant le même sous-type moléculaire. Cela suggére l’existence d’informations non-redondantes au sein du « phénotype tumoral métabolique » de chaque tumeur mammaire défini par les données radiomiques. L’exploration de cette variabilité s’est révélée intéressante pour améliorer la prédiction de la réponse histologique chez les patientes avec des tumeurs triple-négatives traitées par chimiothérapie néo-adjuvante. Par ailleurs, les mesures effectuées dans la région mammaire péri-tumorale chez les patientes traitées par chimiothérapie néo-adjuvante se sont montrées prédictives pour les patientes avec des tumeurs Lum B HER2-. En IRM nous avons montré l’importance de standardiser la méthode de mesure des caractéristiques radiomiques. Nous avons observé que les caractéristiques radiomiques issues des images DCE-MRI étaient moins associées aux caractéristiques moléculaires des tumeurs et avaient une valeur prédictive moindre. Nous avons également proposé une nouvelle méthode relativement standardisée pour le calcul des données radiomiques en IRM mammaire avec des résultats intéressants mais cette méthode doit encore être optimisée. Cependant, nos résultats suggèrent que les données extraites de la totalité du volume tumorale en IRM compléteraient efficacement les caractéristiques radiomiques TEP et le sous-type moléculaire pour prédire la réponse à la chimiothérapie néo-adjuvanteBreast cancer is a common disease for which ¹⁸F-FDG PET/CT and breast MRI are frequently performed in routine practice. However, the different information provided by each of these imaging techniques are currently under-exploited. Indeed, in routine the interpretation of these scans is mainly based on visual analysis whereas the « quantitative » analysis of PET/CT data is generally limited to the sole use of the SUVmax while in breast MRI, simple parameters to characterize tumor enhancement after injection of contrast medium are used. The advent of PET/MRI machines, calls for an evaluation of the contribution of a more advanced quantification of each of the modalities separately and in combination in the setting of breast cancer. This is along with the concept of « Radiomics » a field currently expanding and which consists in extracting many quantitative characteristics from medical images used in clinical practice to decipher tumor heterogeneity or improve prediction of prognosis. The aim of our work was to study the contribution of radiomic data extracted from ¹⁸F-FDG PET and MRI imaging with contrast injection to characterize tumor heterogeneity in breast cancer taking into account the different molecular subtypes of breast cancer, namely luminal (Lum A, Lum B HER2- and Lum B HER2 +), triple-negative and HER2 + tumors. In this context, we focused on the prediction of prognosis in patients treated with neo-adjuvant chemotherapy. The influence of physiological variations such as age on the calculation of radiomic data in normal breast and breast tumors separately was also explored, as well as the multi-center variability of radioman features. Radiomic features were extracted using the LiFex software developed within IMIV laboratory. The patient database used for the studies were all retrospective data. We reported for the first time the influence of age on the values of radiomic features in healthy breast tissue in patients recruited from 2 different institutions but also in breast tumors especially those with a triple-negative subtype. Similarly, significant associations between the radiomic tumor phenotype in PET and MRI imaging and well-established prognostic factors in breast cancer have been identified. In addition, we showed a large variability in the PET « radiomic profile » of breast tumors with similar breast cancer subtype suggesting complementary information within their metabolic phenotype defined by radiomic features. Moreover, taking into account this variability has been shown to be of particular interest in improving the prediction of pathological response in patients with triple-negative tumors treated with neoadjuvant chemotherapy. A peri-tumoral breast tissue region satellite to the breast tumor was also investigated and appeared to bear some prognostic information in patients with Lum B HER2- tumors treated with neoadjuvant chemotherapy. In MR, we demonstrated the need to harmonize the methods for radiomic feature calculation. Overall, we observed that radiomic features derived from MR were less informative about the molecular features of the tumors than radiomic features extracted from PET data and were of lower prognostic value. Yet, the combination of the enhanced tumor volume in MR with a PET radiomic feature and the tumor molecular subtype yielded enhanced the accuracy with which response to neoadjuvant therapy could be predicted compared to features from one modality only or molecular subtype only
7
Humbert, Olivier. "Imagerie TEP au 18F-FDG du cancer du sein : étude du comportement métabolique des différents phénotypes tumoraux et prédiction de la réponse tumorale à la chimiothérapie néoadjuvante." Thesis, Dijon, 2015. http://www.theses.fr/2015DIJOS024/document.
Full textAbstract:
La Tomographie par Emission de Positons (TEP) au 18Fluoro-désoxyglucose (18F-FDG) est l’imagerie de référence pour la quantification in vivo du métabolisme glucidique des cellules tumorales. Elle permet, entre autre, de suivre les modifications du métabolisme tumoral en cours de chimiothérapie. Le cancer du sein regroupe différentes entités génomiques dont les comportements clinico-biologiques et la prise en charge thérapeutique divergent. L’objectif de cette thèse était d’étudier le lien entre ces diverses entités biologiques du cancer du sein et le comportement métabolique tumoral en cours de chimiothérapie néoadjuvante. Nous avons également extrait, parmi les différents paramètres métaboliques tumoraux des images TEP, les critères les plus robustes pour prédire dès la fin dès la première cure de chimiothérapie néoadjuvante la réponse histologique finale et la survie des patientes. Nous avons également appliqué un modèle de mesure de la perfusion tumorale, dérivée d’une acquisition dynamique du premier passage artériel et tumoral du 18F-FDG.Le premier article de cette thèse souligne l’impact majeur du phénotype tumoral sur le comportement métabolique en cours de chimiothérapie de la tumeur primitive mammaire. Les trois articles suivants montrent que, pour les tumeurs triple-négatives et HER2 positives, les modifications métaboliques tumorales observées par la TEP au 18F-FDG prédisent la réponse histologique complète à l’issue du traitement. Concernant le phénotype tumoral luminal/HER2 négatif, la réponse métabolique apporte surtout une information pronostique. L’imagerie TEP au 18F-FDG pourrait permettre dans un avenir proche de guider les choix thérapeutiques du clinicien, en proposant une alternative thérapeutique aux patientes non-répondeuses identifiées dès la première cure de chimiothérapie néoadjuvantePositron Emission Tomography (PET) with 18Fluoro-deoxyglucose (18F-FDG) is the reference imaging examination for in-vivo quantification of the glucidic metabolism of tumour cells. It allows for the monitoring of tumour metabolic changes during chemotherapy. Breast cancer comprises several distinct genomic entities with different biological characteristics and clinical behaviours, leading to different tailored treatments. The aim of this doctoral thesis was to evaluate the relationship between the different biological entities of breast cancer and the tumour metabolic behaviour during neoadjuvant chemotherapy. We have also retrieved, among the various metabolic parameters on PET images, the most reliable ones to predict, as early as after the first neoadjuvant cycle, the final tumour histologic response and patient’s outcome. We have also evaluated early changes in tumour blood flow, using a tumour first-pass model derived from an dynamic 18F-FDG-PET acquisition.The first article presented in this thesis has underlined the strong correlation between breast cancer subtypes, and the tumour metabolic behaviour during chemotherapy. The following three articles have demonstrated that tumour metabolic changes after the first neoadjuvant cycle can predict the final histologic complete response at the end of the treatment, both in triple-negative and HER2 positive tumours. Concerning the luminal/HER2 subtype, the early metabolic response mainly predicts patient’s outcome.These results should lead, in the near future, to PET-guided neoadjuvant strategies, in order to adapt the neoadjuvant treatment in poor-responding women. Such a strategy should lead to enhanced personalized medicine
8
Henriksson, Tommy. "CONTRIBUTION TO QUANTITATIVE MICROWAVE IMAGING TECHNIQUES FOR BIOMEDICAL APPLICATIONS." Doctoral thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5882.
Full textAbstract:
This dissertation presents a contribution to quantitative microwave imaging for breast tumor detection. The study made in the frame of a joint supervision Ph.D. thesis between University Paris-SUD 11 (France) and Mälardalen University (Sweden), has been conducted through two experimental microwave imaging setups, the existing 2.45 GHz planar camera (France) and the multi-frequency flexible robotic system, (Sweden), under development. In this context a 2D scalar flexible numerical tool based on a Newton-Kantorovich (NK) scheme, has been developed. Quantitative microwave imaging is a three dimensional vectorial nonlinear inverse scattering problem, where the complex permittivity of an object is reconstructed from the measured scattered field, produced by the object. The NK scheme is used in order to deal with the nonlinearity and the ill-posed nature of this problem. A TM polarization and a two dimensional medium configuration have been considered in order to avoid its vectorial aspect. The solution is found iteratively by minimizing the square norm of the error with respect to the scattered field data. Consequently, the convergence of such iterative process requires, at least two conditions. First, an efficient calibration of the experimental system has to be associated to the minimization of model errors. Second, the mean square difference of the scattered field introduced by the presence of the tumor has to be large enough, according to the sensitivity of the imaging system. The existing planar camera associated to a flexible 2D scalar NK code, are considered as an experimental platform for quantitative breast imaging. A preliminary numerical study shows that the multi-view planar system is quite efficient for realistic breast tumor phantoms, according to its characteristics (frequency, planar geometry and water as a coupling medium), as long as realistic noisy data are considered. Furthermore, a multi-incidence planar system, more appropriate in term of antenna-array arrangement, is proposed and its concept is numerically validated. On the other hand, an experimental work which includes a new fluid-mixture for the realization of a narrow band cylindrical breast phantom, a deep investigation in the calibration process and model error minimization, is presented. This conducts to the first quantitative reconstruction of a realistic breast phantom by using multi-view data from the planar camera. Next, both the qualitative and quantitative reconstruction of 3D inclusions into the cylindrical breast phantom, by using data from all the retina, are shown and discussed. Finally, the extended work towards the flexible robotic system is presented.A dissertation prepared through an international convention for a joint supervision thesis with Université Paris-SUD 11, France
Microwaves in biomedicine
9
Sarraj, Wafa Mowafak. "Micro computed tomography assessment of tumor size in breast cancer compared to histopathological examination." Thesis, 2014. https://hdl.handle.net/2144/15353.
Full textAbstract:
PURPOSE: The purpose of this study was to assess the ability of Micro Computed Tomography (Micro CT) to measure primary tumor size in breast lumpectomy specimens, as compared to the histopathological measurement.
METHODS: This was a diagnostic study involving women who were scheduled to have breast lumpectomy surgery at the Massachusetts General Hospital (MGH) Department of surgery from June 2011 - September 2011. Those who met the study eligibility criteria were recruited to participate in the study. The study was approved by the MGH Institutional Review Board (IRB). All the participants provided consent prior to their participation in the study. The lumpectomy specimens of 45 subjects were scanned by Micro CT scan for no longer than 15 minutes, they were then delivered to the gross pathology lab for processing via the standard pathological protocol. Later on, the maximum dimension of the invasive breast tumor was obtained from the Micro CT image and was compared to the corresponding pathology report for each subject.
RESULTS: We found that Micro CT tends to overestimate the breast malignant tumor size. However, there were few differences in T-stage classification between Micro CT and pathology. Overall, Micro CT demonstrated good agreement with pathological tumor size and staging. For Invasive ductal carcinoma, Micro CT showed a substantial agreement with pathological tumor size and staging. However, Micro CT showed no agreement with pathological tumor size and staging for invasive lobular carcinoma.
CONCLUSIONS: Micro CT is a promising modality in measuring and staging the invasive ductal carcinoma.
10
Cheng, Ching-Ju, and 鄭敬儒. "A Hand-Held Based Near-Infrared Tomography Imaging System and Chip Design for Early-stage Breast Tumor Detection." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/79587734947620262703.
Full textAbstract:
碩士國立交通大學
電子工程學系 電子研究所
101
According to the World Health Organization (WHO) released information in 2008, breast cancer had caused around 13.7% cancer deaths in women in developing and developed countries, and the trend is still growing. Since the early breast tumor treatment significantly helps the survival rate after treatment, early breast tumor detection is important, and it has become one of the tough topics in the relative research groups. Because the women usually ashamed to tell people if they have the lumps in breast, to develop a hand-held self-detected breast imaging system in home help women’s breast self examination, and make early detection and early treatment possible. This work proposes a hand-held breast imaging system by using near-infrared light for the early breast tumor detection, with the feature of no invasion, no radiation, low cost, portable device and user friendly interface. The proposed system probes and reconstructs the total hemoglobin concentration and tissue oxygen saturation concentration by using the near-infrared light to diagnose the plausible breast tumor. Due to the near-infrared light have better optical property contrast and no radiation trait comparing to X-ray, it is suitable for breast tumor pre-screening. In addition, the proposed system composed a breast imaging reconstruction chip, flexible front-end sensor and system platform for the purpose of low cost and portable device. Given the popularity of smart phones and pads, the proposed system further combines the wireless Bluetooth module to wirelessly transmit reconstruction image to the consumer electronic, and the image process can emphasize the suspicious breast tumor location clearly. Finally, in order to test the reconstruction image quality of the proposed system, we make a breast-like phantom embedded tumor-like phantom according to the breast tissue absorption and scattering coefficient. With different tumor phantom size and depth, the proposed system can detect the size of 2mm and depth of 7mm.
Books on the topic "Breast Tumors Tomography"
1
Figueiredo, Camille, and Georg Schett. Assessment of joint and bone structure in PsA patients: Using high-resolution computed tomography. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198737582.003.0019.
Full textAbstract:
Psoriatic arthritis (PsA) is associated with a distinct pattern of bone pathology, which influences the clinical picture of the disease. High-resolution computed tomography (CT) has contributed to understanding structural bone changes in PsA. Periarticular bone erosions in PsA are characterized by periosteal responses around the cortical break, distinguishing them from bone erosions in rheumatoid arthritis. Furthermore, a large number of enthesophytes can be found in CT studies of joints of PsA patients and in psoriasis patients without clinical arthritis. This latter observation supports the idea that articular changes start in psoriasis before joint disease commences. Moreover, enthesophytes are not influenced by methotrexate treatment and tumour necrosis factor inhibition. Finally, studies of systemic bone loss by high-resolution CT revealed significant alterations of the bone architecture in PsA but not in patients with skin disease only. In summary, CT has made valuable contributions in understanding the structural bone changes in PsA.
Book chapters on the topic "Breast Tumors Tomography"
1
Ashfaq, Mohammad, and Helmut Ermert. "Ultrasound Spiral Computed Tomography for Differential Diagnosis of Breast Tumors Using a Conventional Ultrasound System." In Acoustical Imaging, 627–33. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2402-3_80.
Full text
2
Opieliński, Krzysztof J., Piotr Pruchnicki, Andrzej Wiktorowicz, and Marcin Jóźwik. "Algorithm for the Fusion of Ultrasound Tomography Breast Images Allowing Automatic Discrimination Between Benign and Malignant Tumors in Screening Tests." In Advances in Intelligent Systems and Computing, 125–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91211-0_11.
Full text
3
Mia, Shisir, Md Mijanur Rahman, and Mohammad Motiur Rahman. "Modeling Photon Propagation Through Human Breast with Tumor in Diffuse Optical Tomography." In Proceedings of International Joint Conference on Computational Intelligence, 227–33. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7564-4_20.
Full text
4
Rieber, A., H. J. Brambs, M. Wannenmacher, and P. Drings. "Intraarterial Dynamic Computed Tomography of Tumor Perfusion Before Regional Chemotherapy Combined with Simultaneous Radiotherapy in Lung and Breast Cancers." In Tumor Response Monitoring and Treatment Planning, 189–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-48681-4_33.
Full text
5
Ramasamy, Jayaraj, and Ruchi Doshi. "Machine Learning in Cyber Physical Systems for Healthcare." In Real-Time Applications of Machine Learning in Cyber-Physical Systems, 65–76. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9308-0.ch005.
Full textAbstract:
Brain tumors are prevalent and aggressive disease, with a relatively short life expectancy in their most severe form. Thus, treatment planning is an important element in improving patient quality of life. In general, image techniques such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound imaging are used to examine tumors in the brain, lung, liver, and breast. MRI scans are used in this study to diagnose brain tumors. As a result, a reliable and automated classification technique is required to prevent death. Automatic brain tumor detection using convolutional neural networks (CNN) classification is proposed in this chapter. Small kernels are used to conduct the deeper architectural design. In machine learning, brain tumor classification is done by using a binary classifier to detect brain tumors from MRI scan images. In this chapter, transfer learning is used to build the classifier, achieving a good accuracy and visualizing the model's overall performance.
6
Matsopoulos, George K., Pantelis A. Asvestas, Vasiliki Markaki, Kalliopi Platoni, and Vasilios Kouloulias. "Isocenter Verification in Radiotherapy Clinical Practice Using Virtual Simulation." In Healthcare Policy and Reform, 863–84. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6915-2.ch040.
Full textAbstract:
This chapter presents an overview of the procedures that are used for the verification of the patient position during radiotherapy. Furthermore, a method for the verification of the radiotherapy isocenter prior to treatment delivery is proposed. The method is based on the alignment of two Computed Tomography (CT) scans: a scan, which is acquired for treatment planning, and an additional verification scan, which is acquired prior to the treatment delivery. The proposed method was applied to CT scans, acquired from 20 patients with abdominal tumors and 20 patients with breast/lung cancer. The results of the proposed method were compared with the ones obtained using conventional methods, indicating that the estimated isocenter displacement can be translated into patient setup error inside the treatment room.
7
Matsopoulos, George K., Pantelis A. Asvestas, Vasiliki Markaki, Kalliopi Platoni, and Vasilios Kouloulias. "Isocenter Verification in Radiotherapy Clinical Practice Using Virtual Simulation." In Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions, 211–30. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8828-5.ch010.
Full textAbstract:
This chapter presents an overview of the procedures that are used for the verification of the patient position during radiotherapy. Furthermore, a method for the verification of the radiotherapy isocenter prior to treatment delivery is proposed. The method is based on the alignment of two Computed Tomography (CT) scans: a scan, which is acquired for treatment planning, and an additional verification scan, which is acquired prior to the treatment delivery. The proposed method was applied to CT scans, acquired from 20 patients with abdominal tumors and 20 patients with breast/lung cancer. The results of the proposed method were compared with the ones obtained using conventional methods, indicating that the estimated isocenter displacement can be translated into patient setup error inside the treatment room.
8
Matsopoulos, George K., Pantelis A. Asvestas, Vasiliki Markaki, Kalliopi Platoni, and Vasilios Kouloulias. "Isocenter Verification in Radiotherapy Clinical Practice Using Virtual Simulation." In Oncology, 689–708. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0549-5.ch026.
Full textAbstract:
This chapter presents an overview of the procedures that are used for the verification of the patient position during radiotherapy. Furthermore, a method for the verification of the radiotherapy isocenter prior to treatment delivery is proposed. The method is based on the alignment of two Computed Tomography (CT) scans: a scan, which is acquired for treatment planning, and an additional verification scan, which is acquired prior to the treatment delivery. The proposed method was applied to CT scans, acquired from 20 patients with abdominal tumors and 20 patients with breast/lung cancer. The results of the proposed method were compared with the ones obtained using conventional methods, indicating that the estimated isocenter displacement can be translated into patient setup error inside the treatment room.
9
Matsopoulos, George K., Pantelis A. Asvestas, Vasiliki Markaki, Kalliopi Platoni, and Vasilios Kouloulias. "Isocenter Verification in Radiotherapy Clinical Practice Using Virtual Simulation." In Medical Imaging, 1703–24. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0571-6.ch071.
Full textAbstract:
This chapter presents an overview of the procedures that are used for the verification of the patient position during radiotherapy. Furthermore, a method for the verification of the radiotherapy isocenter prior to treatment delivery is proposed. The method is based on the alignment of two Computed Tomography (CT) scans: a scan, which is acquired for treatment planning, and an additional verification scan, which is acquired prior to the treatment delivery. The proposed method was applied to CT scans, acquired from 20 patients with abdominal tumors and 20 patients with breast/lung cancer. The results of the proposed method were compared with the ones obtained using conventional methods, indicating that the estimated isocenter displacement can be translated into patient setup error inside the treatment room.
10
M. Meaney, Paul, and Keith D. Paulsen. "Theoretical Premises and Contemporary Optimizations of Microwave Tomography." In Microwave Technologies [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.103011.
Full textAbstract:
Microwave imaging has long been proposed as an effective means for biomedical applications—breast cancer detection and therapy monitoring being the most prominent because of the endogenous dielectric property contrast between malignant and normal breast tissue. While numerous numerical simulations have been presented demonstrating feasibility, translation to actual physical and clinical implementations have been lacking. In contrast, the Dartmouth team has taken somewhat counterintuitive but fundamentals-based approaches to the problem—primarily addressing the confounding multipath signal corruption problem and exploiting core concepts from the parameter estimation community. In so doing, we have configured a unique system design that is a synergism of both the hardware and software worlds. In this paper, we describe our approaches in the context of competing strategies and suggest rationales for why these techniques work—especially in 2D. Finally, we present data from actual neoadjuvant chemotherapy exams that confirm that our technique is capable of imaging the tumor and also visualizing its progression during treatment.
Conference papers on the topic "Breast Tumors Tomography"
1
Gomez Cortes, Juan Carlos, Juan Prado Olivarez, Jose Javier Diaz Carmona, Jose Alfredo Padilla Medina, Jorge Alberto Garcia Munoz, and Alejandro Israel Barranco Gutierrez. "Electrical Impedance Tomography Simulation for Detection of Breast Tumors Based on Tumor Emulators." In 2022 45th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2022. http://dx.doi.org/10.1109/tsp55681.2022.9851291.
Full text
2
Van Houten, E. E. W., H. Kershaw, T. Lotz, and J. G. Chase. "Localization and detection of breast cancer tumors with Digital Image Elasto-Tomography." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346505.
Full text
3
Oliveira, Leandro Gonçalves, Ana Cláudia Gonçalves Lima, Sebastião Alves Pinto, Barbara Elisabeth Schroff, André Maroccolo de Sousa, and Juarez Antônio de Sousa. "BREAST CARCINOMA WITH OSTEOCLAST-LIKE GIANT CELLS: A CASE REPORT." In Abstracts from the Brazilian Breast Cancer Symposium - BBCS 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s2052.
Full textAbstract:
Introduction: Breast carcinoma with osteoclastic giant cells (OGCs) is rare. According to the WHO classification, breast tumors are designated “carcinoma with osteoclast-like giant cells” and are categorized under invasive carcinoma of no special type. This distinct subtype of breast carcinoma was first described in the French medical literature by Leroux in 1931 and Duboucher et al. in 1933. We reported a case study of a woman with OGCs with an invasive ductal and papillary carcinoma. Case Presentation: A 69-year-old female presented with left-sided breast lump. Ultrasound study documented the well-circumscribed retroareolar hypoechoic mass, measuring 3.5 cm in greatest dimension. Computed tomography scan and bone scan showed no evidence of distant metastasis. The patient underwent left breast mastectomy and sentinel lymph node biopsy. The tissue was fixed in 10% buffered formalin and embedded in paraffin. Hematoxylin and eosin–stained sections revealed a tumor composed of papillary intracystic carcinoma with a prominent OGC component. The background stroma revealed hemorrhage and hemosiderin deposition. Left axillary sentinel lymph node was free of malignancy (pN0). Tumor cells stained negative for estrogen receptor, progesterone receptor, and HERneu-2. Ki-67 positive was approximately 30%. After surgery, this patient received taxane-based chemotherapy for four cycles and post-mastectomy radiotherapy. Discussion: Breast carcinoma with OGCs is characterized by the presence of OGCs admixed with malignant epithelial cells. They often showed hyperchromatic nuclei that are atypical with occasional small nucleoli and fine chromatin structure. Mitotic figures are typically rare. The mechanism for the formation of OGCs is still unknown and is at least partially attributed to tumor-induced angiogenesis and inflammatory cytokines. To date, the influence of OGCs on the prognosis of patients is still controversial. We described an old woman with a triple-negative breast carcinoma with OGCs. She remains free of recurrence, with an 18-month follow-up.
4
Gunther, Jacqueline E., Emerson Lim, Hyun Keol Kim, Mindy Brown, Susan Refice, Kevin Kalinsky, Dawn Hershman, and Andreas H. Hielscher. "Dynamic diffuse optical tomography for assessing changes of breast tumors during neoadjuvant chemotherapy." In SPIE BiOS, edited by Bruce J. Tromberg, Arjun G. Yodh, Eva M. Sevick-Muraca, and Robert R. Alfano. SPIE, 2015. http://dx.doi.org/10.1117/12.2079435.
Full text
5
Lin, Youzuo, Lianjie Huang, and Zhigang Zhang. "Ultrasound waveform tomography with the total-variation regularization for detection of small breast tumors." In SPIE Medical Imaging, edited by Johan G. Bosch and Marvin M. Doyley. SPIE, 2012. http://dx.doi.org/10.1117/12.910765.
Full text
6
Ramos, Lilian de Sá Paz, Juliana Almeida Frank, Suzana Imbassahy de Sá Bittencourt Câmara e. Silva, and Diogo Silva Almeida. "POROCARCINOMA IN MALE BREAST." In Scientifc papers of XXIII Brazilian Breast Congress - 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s1078.
Full textAbstract:
Introduction: Porocarcinoma (PC) is a malignant neoplasm of the eccrine sweat glands, corresponding to 0.005% to 0.001% of skin tumors. There are reports of only two cases with primary localization on the breast from a total of 206 cases of pororcarcinoma according to a systematic review conducted by Nazeemi et al. (2018), from 1963 to 2017. The most common anatomical locations are the lower limbs, the head and the neck. This pathology affects elderly individuals and has a similar incidence among genders. This malignant neoplasm usually presents as a single nodule or a plaque with a verrucous or ulcerated surface, sometimes there is a long history of evolution. The most common site of metastases is regional lymph nodes. The pathogenesis of PC is uncertain. This neoplasm originates from the terminal cells of the intradermal segment of the sweat gland called acrosyringeum. In the histological study, the porocacinoma cells may be restricted in the epidermis or infiltrate the entire dermis, the epithelial proliferation of intradermal tumor cells in nests causes acanthosis of the epidermis and hyperkeratosis, cords and polygonal tumor cells proliferate in the dermis with figures of mitosis and areas of necrosis, often ductal differentiation with intracytoplasmic lumina. Immunohistochemical shows positivity for carcinoembryonic antigen (CEA), cytokeratin (CK), pancytokeratin and CK5/6, epithelial membrane antigen (EMA), p53, p63 and CD117. The main treatment is local resection with margins. Sentinel lymph node biopsy can be considered for patients without palpable ganglion, and the performing axillary lymphadenectomy in the context of regional lymphadenopathy. Adjuvant chemotherapy and radiotherapy can be performed in cases of metastatic PC and local recurrence. Case report: An 82-year-old man presenting with a skin lesion on his right breast with progressive growth, associated with local discomfort and bleeding over two years. He presented a large vegetative, hyperchromic, ulcerated bleeding and painless tumor in the right breast, with an extension beyond the inframammary fold, measuring about 8 cm in diameter and ipsilateral axillary lymphadenopathy. No evidence of metastasis on chest and in abdominal tomography. The incisional biopsy showed porocarcinoma, the surgical treatment performfed was mastectomy and axillary lymphadenectomy. The histological study revealed an undifferentiated keratinizing carcinoma of the skin, infiltrating the mammary parenchyma, associated with angiolymphatic infiltration and the presence of necrosis and ulceration with free margins, in addition to two metastatic axillary lymph nodes. An immunohistochemical analysis revealed positive cells for EMA, p63, CKAE1AE3 and a K167 proliferation index of 60% confirming the diagnosis of pororcarcinoma. Local treatment was supplemented with adjuvant radiotherapy
7
Pogue, Brian W., Shudong Jiang, Xiaomei Song, Subhadra Srinivasan, Hamid Dehghani, Keith D. Paulsen, Tor D. Tosteson, Christine Kogel, Sandra Soho, and Steven P. Poplack. "Near-infrared scattering spectrum differences between benign and malignant breast tumors measured in vivo with diffuse tomography." In Biomedical Topical Meeting. Washington, D.C.: OSA, 2004. http://dx.doi.org/10.1364/bio.2004.thb1.
Full text
8
Park, Taehyun, Daniel Sangwon Park, and Michael C. Murphy. "High Flow Rate Circulating Tumor Cell Capture Device." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53214.
Full textAbstract:
Circulating tumor cells (CTCs) may become a new foundation for early stage cancer diagnosis requiring minimal patient effort [1]. This approach can overcome the limitations of current diagnostic technologies, including computer-aided tomography (CT), magnetic resonance imaging (MRI), X-ray mammography, and ultrasound (UR) which can detect only highly calcified tumors at relatively high cost. Several studies have demonstrated CTC capture using microfluidic devices to identify the presence of human breast cancer, and the CellSearch™ immunomagnetic system (Johnson & Johnson, New Brunswick, NJ) is approved by the Food and Drug Administration (FDA) for monitoring post-treatment therapy, but all of the systems reported have either a long diagnosis time or unacceptable capture rates [2, 3]. CTCs in human peripheral blood are very rare events, typically 1 ∼ 2 CTCs in 1 mL of circulating blood. This low concentration of CTCs requires a large sample volume (∼7.5 mL) to ensure detection. However, current affinity-based microfluidic devices for cell capture usually operate at very low flow rates to increase the capture rate. Therefore, developing high flow rate microfluidic devices for CTC capture is essential and challenging. A new concept of high flow rate device is introduced, simulated, and tested at high flow rates.
9
Yapp, Donald T., Cara L. Ferreira, Sarah Crisp, Brent Sutherland, Sylvia S. W. Ng, Martin Gleave, Corinne Bensimon, Paul Jurek, and Garry E. Kiefer. "Abstract 3258: Imaging HER-2 positive breast cancer tumors with trastuzumab radiolabeled with DOTA, Oxo and PCTA and positron emission tomography (PET)." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-3258.
Full text
10
Lee, Kok-Meng, Junwei Li, and Kun Bai. "A Novel Current-Interference Scanning Method for Detection of Abnormal Tissues." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9175.
Full textAbstract:
This paper presents a current-interference scanning (CIS) method for detecting abnormal tissues (such as breast and lung tumors) characterized by a significantly higher electrical conductivity than healthy tissues. The CIS method overcomes several limitations encountered in existing screening techniques based on electrical impedance tomography (EIT), which usually suffer from poor spatial resolution due to the limited number of electrodes that can be attached on human body. In addition, the reconstructions of the impedance image in EIT are often poorly conditioned due to its uneven sensitivity to different areas and ill posed for limited information. In this paper, the theoretical basis of a CIS method is analytically derived, which uses two high-frequency sinusoidal currents to create a low-frequency current-interference area moving in two orthogonal directions. The effectiveness of the CIS method and its feasibility for detecting relatively large different electrical conductivities in human tissues are illustrated numerically and experimentally.
Reports on the topic "Breast Tumors Tomography"
1
Davis, Scott C. Combined Contrast-Enhanced MRI and Fluorescence Molecular Tomography for Breast Tumor Imaging. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada485300.
Full text
2
Davis, Scott C. Combined Contrast-Enhanced MRI and Fluorescence Molecular Tomography for Breast Tumor Imaging. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada488239.
Full text
3
Davis, Scott C. Combined Contrast-Enhanced MRI and Fluorescence Molecular Tomography for Breast Tumor Imaging. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada468681.
Full text