Journal articles: 'Breast infrared imaging'

1

Keyserlingk, J. R., P. D. Ahlgren, E. Yu, N. Belliveau, and M. Yassa. "Functional infrared imaging of the breast." IEEE Engineering in Medicine and Biology Magazine 19, no. 3 (2000): 30–41. http://dx.doi.org/10.1109/51.844378.

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Lozano, Adolfo, Jody C. Hayes, Lindsay M. Compton, and Fatemeh Hassanipour. "Pilot Clinical Study Investigating the Thermal Physiology of Breast Cancer via High-Resolution Infrared Imaging." Bioengineering 8, no. 7 (June 22, 2021): 86. http://dx.doi.org/10.3390/bioengineering8070086.

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This descriptive study investigates breast thermal characteristics in females histologically diagnosed with unilateral breast cancer and in their contralateral normal breasts. The multi-institutional clinical pilot study was reviewed and approved by the Institutional Review Boards (IRBs) at participating institutions. Eleven female subjects with radiologic breast abnormalities were enrolled in the study between June 2019 and September 2019 after informed consent was obtained. Static infrared images were recorded for each subject. The Wilcoxon signed rank test was used to conduct paired comparisons in temperature data between breasts among the eight histologically diagnosed breast cancer subjects (n = 8). Localized temperatures of cancerous breast lesions were significantly warmer than corresponding regions in contralateral breasts (34.0 ± 0.9 °C vs. 33.2 ± 0.5 °C, p = 0.0142, 95% CI 0.25–1.5 °C). Generalized temperatures over cancerous breasts, in contrast, were not significantly warmer than corresponding regions in contralateral breasts (33.9 ± 0.8 °C vs. 33.4 ± 0.4 °C, p = 0.0625, 95% CI −0.05–1.45 °C). Among the breast cancers enrolled, breast cancers elevated temperatures locally at the site of the lesion (localized hyperthermia), but not over the entire breast (generalized hyperthermia).

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Gutierrez-Delgado, Francisco, and José Guadalupe Vázquez-Luna. "Feasibility of New-generation Infrared Imaging Screening for Breast Cancer in Rural Communities." Oncology & Hematology Review (US) 06 (2010): 60. http://dx.doi.org/10.17925/ohr.2010.06.0.60.

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Breast cancer is a major public health problem worldwide. Important advances have improved survival, but early detection remains the main clinical challenge in reducing mortality. Currently, mammography is the ‘gold standard’ tool for breast cancer screening. However, the search for an early breast cancer detection method is the subject of extensive research. Although infrared imaging or breast thermography for early breast cancer detection has been evaluated since the late 1950s, the negative results reported in 1979 by the Breast Cancer Detection and Demonstration Project decreased interest in this imaging modality. Advances in infrared imaging and reduced equipment costs have, however, renewed interest in breast thermography. Breast cancer in developing countries requires new strategies to increase early detection and access to care. In this article, we highlight the principles and advances of infrared imaging technology and describe our experience with new-generation infrared imaging for early breast cancer detection in rural communities in southern Mexico.

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Mambou, Sebastien, Petra Maresova, Ondrej Krejcar, Ali Selamat, and Kamil Kuca. "Breast Cancer Detection Using Infrared Thermal Imaging and a Deep Learning Model." Sensors 18, no. 9 (August 25, 2018): 2799. http://dx.doi.org/10.3390/s18092799.

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Women’s breasts are susceptible to developing cancer; this is supported by a recent study from 2016 showing that 2.8 million women worldwide had already been diagnosed with breast cancer that year. The medical care of a patient with breast cancer is costly and, given the cost and value of the preservation of the health of the citizen, the prevention of breast cancer has become a priority in public health. Over the past 20 years several techniques have been proposed for this purpose, such as mammography, which is frequently used for breast cancer diagnosis. However, false positives of mammography can occur in which the patient is diagnosed positive by another technique. Additionally, the potential side effects of using mammography may encourage patients and physicians to look for other diagnostic techniques. Our review of the literature first explored infrared digital imaging, which assumes that a basic thermal comparison between a healthy breast and a breast with cancer always shows an increase in thermal activity in the precancerous tissues and the areas surrounding developing breast cancer. Furthermore, through our research, we realized that a Computer-Aided Diagnostic (CAD) undertaken through infrared image processing could not be achieved without a model such as the well-known hemispheric model. The novel contribution of this paper is the production of a comparative study of several breast cancer detection techniques using powerful computer vision techniques and deep learning models.

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Tsietso, Dennies, Abid Yahya, and Ravi Samikannu. "A Review on Thermal Imaging-Based Breast Cancer Detection Using Deep Learning." Mobile Information Systems 2022 (September 30, 2022): 1–19. http://dx.doi.org/10.1155/2022/8952849.

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Breast cancer is the most common form of cancer in women. Its aggressive nature has made it one of the chief factors of high female mortality. Therefore, this has motivated research to achieve early diagnosis since it is the best strategy for patient survival. Currently, mammography is the gold standard for detecting breast cancer. However, it is expensive, unsuitable for dense breasts, and an invasive process that exposes the patient to radiation. Infrared thermography is gaining popularity as a screening modality for the early detection of breast cancer. It is a noninvasive and cost-effective modality that allows health practitioners to observe the temperature profile of the breast region for signs of cancerous tumors. Deep learning has emerged as a powerful computational tool for the early detection of breast cancer in radiology. As such, this study presents a review that shows existing work on deep learning-based Computer-aided Diagnosis (CADx) systems for breast cancer detection. In the same context, it reflects on classification utilizing breast thermograms. It first provides an overview of infrared thermography, details on available breast thermogram datasets, and then segmentation techniques applied to these thermograms. We also provide a brief overview of deep neural networks. Finally, it reviews works adopting Deep Neural Networks (DNNs) for breast thermogram classification.

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Negied, Nermin K. "Infrared Thermography-Based Breast Cancer Detection — Comprehensive Investigation." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 06 (April 21, 2019): 1957002. http://dx.doi.org/10.1142/s0218001419570027.

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Breast cancer has been reported to be the first deadly disease that affects women worldwide. This type of cancer has been reported to be the second leading cause of death in women worldwide. Medical reports have also reported that every woman is exposed to having breast cancer with an average probability of about 12%. It has also been reported to be the most common cancer that affects women. Fatality could be due to the cancer detection delay; in other words, early detection of the tumor can increase the survival rate of patients. Routine techniques of imaging modalities for cancer screening such as Mammography, Computated Tomography (CT) scan, Magnetic Resonance Imaging (MRI) and ultrasound are impractical tools for many reasons such as the irreproducible nature, the high error rate in cases of thick breasts, the pain and the annoyance they cause. Consequently, there is a need for more convincing strategies with high accuracy rates in breast cancer detection. Therefore, among the large variety of medical breast scanning techniques, thermography has attracted attention in applications related to detection and diagnosis. It is capable of providing helpful and useful information about the physiological variations and accordingly, it can detect tumors even in early stages. In addition, it is a very safe scanning tool, so as many needed tests can be held in proper time and manner. Thermography relies on the fact that human body temperature generally is a natural norm for the diagnosis of diseases. Thermography in medical applications applies infrared body examination tool which is fast, noninvasive, noncontact, pain free, radiation free and flexible to monitor the temperature of the human body. The fundamental principle of thermography relies on physiology such as the distribution of temperature on the skin surface. Infrared thermography scanning for breasts is an imaging technique which essentially searches for temperature change in human body. Temperature variance could be considered as a good indicator of tumor occurrence in the scanned area. Tumor mainly causes a noteworthy increase in blood vessel circulation and metabolic activity, so it causes higher radiations emitted from the human body around the regions of tumor. The paper surveys the literature work conducted in the field of breast cancer detection from thermogram scans. The survey is followed by a discussion of the strengths and weaknesses of thermography-based tumor detection. A new research idea and some considerations are then suggested based on that discussion to achieve better results in this critical area.

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Dalmaso, C. N., J. V. C. Vargas, and M. L. Brioschi. "INFRARED IMAGING AND COMPUTERIZED TOMOGRAPHY IN BREAST CANCER: CASE STUDY." Revista de Engenharia Térmica 20, no. 1 (April 12, 2021): 75. http://dx.doi.org/10.5380/reterm.v20i1.80456.

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This work presents a case study of a 75-year-old woman breast withcancer. The investigation process used infrared image, mammography,computerized tomography (CT) and ultrasound guided biopsy toassess, stage and final diagnostic of the tumor. Each one of theseevaluations brings an isolated piece of information that results in thecorrect diagnostic, and treatment. As early diagnostic of breast cancergoes towards improvement in diagnostics and better therapeutics, it isreasonable to state that breast cancer diagnostics must be achieved asearly as possible. An association between infrared image abnormalitiesand computerized tomography is acknowledged and is assumed that acorrelation could exist. The technical literature demonstrated thattumor depth could be inferred from infrared images, but criticalinformation such as breast perfusion for accurate predictions are notavailable yet. Considering that a mathematical model could modelbreast perfusion, this study proposes that tumor morphology and depthin breast cancer could be adequately determined using mathematicalmodeling, infrared imaging, and computerized tomography incomplementary actions.

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Abdel-Nasser, Mohamed, Antonio Moreno, and Domenec Puig. "Breast Cancer Detection in Thermal Infrared Images Using Representation Learning and Texture Analysis Methods." Electronics 8, no. 1 (January 16, 2019): 100. http://dx.doi.org/10.3390/electronics8010100.

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Nowadays, breast cancer is one of the most common cancers diagnosed in women. Mammography is the standard screening imaging technique for the early detection of breast cancer. However, thermal infrared images (thermographies) can be used to reveal lesions in dense breasts. In these images, the temperature of the regions that contain tumors is warmer than the normal tissue. To detect that difference in temperature between normal and cancerous regions, a dynamic thermography procedure uses thermal infrared cameras to generate infrared images at fixed time steps, obtaining a sequence of infrared images. In this paper, we propose a novel method to model the changes on temperatures in normal and abnormal breasts using a representation learning technique called learning-to-rank and texture analysis methods. The proposed method generates a compact representation for the infrared images of each sequence, which is then exploited to differentiate between normal and cancerous cases. Our method produced competitive (AUC = 0.989) results when compared to other studies in the literature.

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Agostini, Valentina, Marco Knaflitz, and Filippo Molinari. "Motion Artifact Reduction in Breast Dynamic Infrared Imaging." IEEE Transactions on Biomedical Engineering 56, no. 3 (March 2009): 903–6. http://dx.doi.org/10.1109/tbme.2008.2005584.

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Verdonck, M., A. Denayer, B. Delvaux, S. Garaud, R. De Wind, C. Desmedt, C. Sotiriou, K. Willard-Gallo, and E. Goormaghtigh. "Characterization of human breast cancer tissues by infrared imaging." Analyst 141, no. 2 (2016): 606–19. http://dx.doi.org/10.1039/c5an01512j.

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11

Zhang, Chong, Daqing Jiang, Bo Huang, Cong Wang, Lin Zhao, Xianxin Xie, Zhaohe Zhang, Kun Wang, Jie Tian, and Yahong Luo. "Methylene Blue–Based Near-Infrared Fluorescence Imaging for Breast Cancer Visualization in Resected Human Tissues." Technology in Cancer Research & Treatment 18 (January 1, 2019): 153303381989433. http://dx.doi.org/10.1177/1533033819894331.

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Breast-conserving surgery is facing the challenge of objective tumor margin identification intraoperatively. Near-infrared fluorescence imaging would be an ideal approach to visualize tumor margins during surgeries. In this preliminary study, the feasibility of methylene blue–based near-infrared fluorescence imaging technique for breast cancer detection was assessed in resected human breast specimens after breast cancer surgeries. Thirty patients with breast cancer scheduled for surgical treatment were enrolled, including 10 patients with preoperative chemotherapy and 20 patients without. Each of them received an injection of 1 mg/kg methylene blue intravenously 3 hours before the surgery. Then, a home-developed methylene blue–specific near-infrared fluorescence imaging system was employed to image the resected breast tissues and identify the tumor by the fluorescence contrast. Specimens were taken for pathological examinations as the reference. There were no severe adverse events attributable to methylene blue. Of 20 patients, who did not receive preoperative chemotherapy, 16 exhibited fluorescent contrast on their resected tissues (signal-to-background ratio: 1.94 ± 0.71). In contrast, tumors were identified in 3 of 10 specimens from patients who underwent preoperative chemotherapy (signal-to-background ratio: 1.63 ± 0.38). A total of 35 tissues were sampled from 30 specimens. Besides 30 tumor samples, 5 more suspicious samples with fluorescence signal were confirmed to be benign hemorrhagic tissues. Therefore, a sensitivity of 0.63 and a positive predictive value of 0.79 were achieved by the methylene blue fluorescence imaging strategy. Here, we demonstrate the feasibility of using methylene blue fluorescence imaging to identify breast cancer. Preoperative chemotherapy had an impact on imaging effect, which may reduce the detection rate. After all, methylene blue fluorescence imaging has great potential to be used into breast-conserving surgery for tumor-positive margins detection, but further clinical trial study is needed ( http://www.chictr.org.cn/ Clinical Trial Registry ID: ChiCTR1800015400, Near-infrared fluorescence imaging applied in breast cancer identification with methylene blue).

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邓, 方阁, and 靓妮曾. "Application of Infrared Thermal Imaging in Breast Disease Detection." Infrared Technoiogy 42, no. 5 (May 1, 2020): 501–5. http://dx.doi.org/10.3724/sp.j.7101791854.

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Gerasimova, E., B. Audit, S. G. Roux, A. Khalil, F. Argoul, O. Naimark, and A. Arneodo. "Multifractal analysis of dynamic infrared imaging of breast cancer." EPL (Europhysics Letters) 104, no. 6 (December 1, 2013): 68001. http://dx.doi.org/10.1209/0295-5075/104/68001.

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Fabian, H., P. Lasch, M. Boese, and W. Haensch. "Infrared microspectroscopic imaging of benign breast tumor tissue sections." Journal of Molecular Structure 661-662 (December 2003): 411–17. http://dx.doi.org/10.1016/j.molstruc.2003.07.002.

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Head, J. F., F. Wang, C. A. Lipari, and R. L. Elliott. "The important role of infrared imaging in breast cancer." IEEE Engineering in Medicine and Biology Magazine 19, no. 3 (2000): 52–57. http://dx.doi.org/10.1109/51.844380.

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El-Sharkawy, Yasser H., and Ashraf F. El-Sherif. "High-performance near-infrared imaging for breast cancer detection." Journal of Biomedical Optics 19, no. 1 (January 27, 2014): 016018. http://dx.doi.org/10.1117/1.jbo.19.1.016018.

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17

Gutierrez-Delgado, F., J. Vazquez-Luna, L. Venegas-Hernandez, S. Terrazas-Espitia, S. Marcial-Toledo, C. Guzman-Patraca, J. Perez-Romero, and M. Saldana-Tellez. "Feasibility of thermal infrared imaging screening for breast cancer in rural communities of Southern Mexico: The experience of the Centro de Estudios y Prevencion del Cancer (CEPREC)." Journal of Clinical Oncology 27, no. 15_suppl (May 20, 2009): 1521. http://dx.doi.org/10.1200/jco.2009.27.15_suppl.1521.

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1521 Background: Breast cancer is the second cause of death from cancer among Mexican women but the incidence continues to rise mainly in rural communities. However, among women older than 50 years, only 7% of them report having had a mammogram because of insufficient number of mammography equipment and trained health care professionals. Mammography has limitation in sensitivity and specificity greater than 70 % and greater than 80 %, respectively. Breast thermography is a noncontact, noninvasive technique and easy to use outside hospitals. We propose to evaluate the feasibility of thermal infrared imaging as screening tool for early detection of breast cancer. Methods: Between November 2006 and December 2008, women were offered clinical breast examination (CBE) followed by breast thermography and mammography, and biopsy if indicated. Thermal infrared imaging was obtained by using an infrared camera (DL-700; 320*240 UFPA, Zhejiang Dali Technology Co., Ltd.). Infrared imaging was performed in a controlled environment with temperature and humidity maintained between 18 ºC and 23 ºC. Breast thermography diagnosis was established according to Hobbins criteria where TH1 to TH5 are equivalent to BI-RADS I to V (Intermer J of Rad 1987;12:337). CBE and breast thermography were correlated with mammography and histologic diagnosis. Results: Nine hundred and eleven (100%) women (median age 44 years, range 15–83) were evaluated. Five hundred and three (55%) of them were older than 40 years, 137 (15%) were between 35 and 39 years. Cancer was diagnosed in 14 (3%) and 2 (1.4%) women, respectively. Overall cancer was diagnosed in 16 (2.5 %) out of 640 women older 35 years. Among 116 (13%) women between 30 and 34 years, cancer was found in 1 (0.8 %) patient. Cancer was not found among 155 (17%) women between 15 and 29 years. Conclusions: In this study cancer was diagnosed in 1.8 % of women by using breast thermography. Thermal infrared imaging allows to select patients who could require further work-up. Breast thermography emerges as a potential screening tool for early detection of breast cancer. No significant financial relationships to disclose.

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YU, YANG, ANGELO SASSAROLI, DEBBIE K. CHEN, MARC J. HOMER, ROGER A. GRAHAM, and SERGIO FANTINI. "NEAR-INFRARED, BROAD-BAND SPECTRAL IMAGING OF THE HUMAN BREAST FOR QUANTITATIVE OXIMETRY: APPLICATIONS TO HEALTHY AND CANCEROUS BREASTS." Journal of Innovative Optical Health Sciences 03, no. 04 (October 2010): 267–77. http://dx.doi.org/10.1142/s179354581000112x.

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We have examined ten human subjects with a previously developed instrument for near-infrared diffuse spectral imaging of the female breast. The instrument is based on a tandem, planar scan of two collinear optical fibers (one for illumination and one for collection) to image a gently compressed breast in a transmission geometry. The optical data collection features a spatial sampling of 25 points/cm2 over the whole breast, and a spectral sampling of 2 points/nm in the 650–900 nm wavelength range. Of the ten human subjects examined, eight are healthy subjects and two are cancer patients with unilateral invasive ductal carcinoma and ductal carcinoma in situ, respectively. For each subject, we generate second-derivative images that identify a network of highly absorbing structures in the breast that we assign to blood vessels. A previously developed paired-wavelength spectral method assigns oxygenation values to the absorbing structures displayed in the second-derivative images. The resulting oxygenation images feature average values over the whole breast that are significantly lower in cancerous breasts (69 ± 14%, n = 2) than in healthy breasts (85 ± 7%, n = 18) (p < 0.01). Furthermore, in the two patients with breast cancer, the average oxygenation values in the cancerous regions are also significantly lower than in the remainder of the breast (invasive ductal carcinoma: 49 ± 11% vs 61 ± 16%, p < 0.01; ductal carcinoma in situ: 58 ± 8% vs 77 ± 11%, p < 0.001).

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Chen, Meijuan, Zhousheng Lin, Guangyu Yao, Xi Hong, Xiaolei Xue, and Lujia Chen. "A Novel NIR Fluorescent Nanoprobe Targeting HER2-Positive Breast Cancer: Tra-TTR-A." Bioinorganic Chemistry and Applications 2021 (December 30, 2021): 1–7. http://dx.doi.org/10.1155/2021/2495958.

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TTRE, a photosensitizer molecule, has excellent biofluorescence imaging performance and effective antitumor properties for breast cancer. However, its application in breast cancer treatment is limited due to poor tumor selectivity and lack of targeting ability. In this study, TTRE and trastuzumab were combined to synthesize Tra-TTR-A, a novel near-infrared fluorescent nanoprobe for HER2 positive breast cancer. The targeting and antitumor abilities of Tra-TTR-A in breast cancer were also investigated. Like TTRE, Tra-TTR-A has a stable structure with remarkable optical properties and in vivo imaging capacity. However, Tra-TTR-A not only inhibits tumor growth by generating reactive oxygen species but also kills tumor cells by trastuzumab. In this study, Tra-TTR-A, a new type of near-infrared fluorescent nanoprobe that targets HER2-positive breast cancer, was successfully synthesized. Tra-TTR-A could be used in in vivo imaging, targeted photodynamic therapy, and diagnosis and treatment for breast cancer.

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Gil Cano, Julio Daniel, Angie Fasoula, Luc Duchesne, and Jean-Gael Bernard. "Wavelia Breast Imaging: The Optical Breast Contour Detection Subsystem." Applied Sciences 10, no. 4 (February 12, 2020): 1234. http://dx.doi.org/10.3390/app10041234.

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Wavelia is a low-power electromagnetic wave breast imaging device for breast cancer diagnosis, which consists of two subsystems, both performing non-invasive examinations: the Microwave Breast Imaging (MBI) subsystem and the Optical Breast Contour Detection (OBCD) subsystem. The Wavelia OBCD subsystem is a 3D scanning device using an infrared 3D stereoscopic camera, which performs an azimuthal scan to acquire 3D point clouds of the external surface of the breast. The OBCD subsystem aims at reconstructing fully the external envelope of the breast, with high precision, to provide the total volume of the breast and morphological data as a priori information to the MBI subsystem. This paper presents a new shape-based calibration procedure for turntable-based 3D scanning devices, a new 3D breast surface reconstruction method based on a linear stretching function, as well as the breast volume computation method that have been developed and integrated with the Wavelia OBCD subsystem, before its installation at the Clinical Research Facility of Galway (CRFG), in Ireland, for first-in-human clinical testing. Indicative results of the Wavelia OBCD subsystem both from scans of experimental breast phantoms and from patient scans are thoroughly presented and discussed in the paper.

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Hielscher, A. H., A. Y. Bluestone, G. S. Abdoulaev, A. D. Klose, J. Lasker, M. Stewart, U. Netz, and J. Beuthan. "Near-Infrared Diffuse Optical Tomography." Disease Markers 18, no. 5-6 (2002): 313–37. http://dx.doi.org/10.1155/2002/164252.

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Diffuse optical tomography (DOT) is emerging as a viable new biomedical imaging modality. Using near-infrared (NIR) light, this technique probes absorption as well as scattering properties of biological tissues. First commercial instruments are now available that allow users to obtain cross-sectional and volumetric views of various body parts. Currently, the main applications are brain, breast, limb, joint, and fluorescence/bioluminescence imaging. Although the spatial resolution is limited when compared with other imaging modalities, such as magnetic resonance imaging (MRI) or X-ray computerized tomography (CT), DOT provides access to a variety of physiological parameters that otherwise are not accessible, including sub-second imaging of hemodynamics and other fast-changing processes. Furthermore, DOT can be realized in compact, portable instrumentation that allows for bedside monitoring at relatively low cost. In this paper, we present an overview of current state-of-the -art technology, including hardware and image-reconstruction algorithms, and focus on applications in brain and joint imaging. In addition, we present recent results of work on optical tomographic imaging in small animals.

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Yao, Xiaoli, Wen Wei, Juanjuan Li, Lijun Wang, ZhiLiang Xu, Yingwen Wan, Kaiyang Li, and Shengrong Sun. "A comparison of mammography, ultrasonography, and far-infrared thermography with pathological results in screening and early diagnosis of breast cancer." Asian Biomedicine 8, no. 1 (February 1, 2014): 11–19. http://dx.doi.org/10.5372/1905-7415.0801.257.

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Abstract Background: Many breast-imaging techniques have been developed as primary clinical methods for identifying early-stage breast cancers and differentiating them from benign breast tumors. For the large population of China, any screening method that is rapid, economical, and accurate is worthy of evaluation. Objective: To compare the effectiveness of mammography, color Doppler ultrasonography, and far-infrared thermography in the screening and early diagnosis of breast cancer. Methods: Data from 2036 women with breast disease between January 2007 and May 2011 were included in this study. All patients underwent mammography, ultrasonography, and far-infrared thermography imaging. The diagnostic accuracy of the three methods was determined using postoperative pathological results as the diagnostic criterion standard. Results: There were 480 patients found to have breast malignancies on pathological examination. The lesion diameter was <2 cm in 853 cases. Among them, breast cancer was found in 73 patients and carcinoma in situ in 22 patients. There was no difference in the accuracy of mammography and ultrasonography (96.1% versus 95.8%). However, there were significant differences between the accuracy of far-infrared thermography (97.1%) and ultrasonography and mammography. The sensitivity and specificity of far-infrared thermography was superior to that of mammography and ultrasonography in lesions <2 cm in diameter. Conclusion: Far-infrared thermography is more accurate for breast cancer screening than ultrasonography and mammography for lesions <2 cm. It has comparable diagnostic accuracy to ultrasound and better diagnostic accuracy than mammography for lesions >2 cm in diameter.

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Cheong, Ju Yong, David Goltsman, and Sanjay Warrier. "Near Infrared Fluorescence Imaging to Assess Breast Flap Perfusion and Prevention of Ischemia: Case Report." International Surgery 103, no. 9-10 (September 1, 2019): 473–76. http://dx.doi.org/10.9738/intsurg-d-16-00230.1.

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Introduction: Breast skin flap ischemia and necrosis is a serious consequence of breast reconstruction with reported incidence of 10% to 15%. Current clinical method of assessing breast skin flap perfusion includes combination of skin color, temperature, dermal edge bleeding, and capillary refill. Given the high incidence of ischemia and the presence of certain cohort of patient with greater risk, there is a need for an objective method of assessing the skin flap perfusion. Near infrared fluorescence imaging using indocyanine green is a new technique of assessing skin flap perfusion. We present a first reported case where breast skin flap ischemia was objectively identified intraoperatively by NIRF imaging, and this ischemia was reversed through active intra- and postoperative measures, which was objectively again identified by NIRF imaging. Case presentation: A 36-year-old female patient underwent bilateral nipple sparing mastectomies with immediate reconstruction using tissue expanders. Clinical assessment of the breast skin flap was equivocal. NIRF imaging using SPY imaging system (Novadaq Technologies Inc, Toronto, ON, Canada) showed poor perfusion in the periareolar region. As a result, it was decided to completely deflate the expander, actively warm the skin flap and encourage cutaneous perfusion through use of topical glycerin trinitrate patch. A repeat NIRF imaging 48 hours showed 10-fold increase in perfusion in the skin flap. Conclusion: NIRF imaging is a useful tool in assessing breast skin perfusion and to predict potential ischemia, which can aid in surgeon's management of patient.

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Mital, Manu, and E. P. Scott. "Thermal Detection of Embedded Tumors Using Infrared Imaging." Journal of Biomechanical Engineering 129, no. 1 (July 1, 2006): 33–39. http://dx.doi.org/10.1115/1.2401181.

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Breast cancer is the most common cancer among women. Thermography, also known as thermal or infrared imaging, is a procedure to determine if an abnormality is present in the breast tissue temperature distribution. This abnormality in temperature distribution might indicate the presence of an embedded tumor. Although thermography is currently used to indicate the presence of an abnormality, there are no standard procedures to interpret these and determine the location of an embedded tumor. This research is a first step towards this direction. It explores the relationship between the characteristics (location and power) of an embedded heat source and the resulting temperature distribution on the surface. Experiments were conducted using a resistance heater that was embedded in agar in order to simulate the heat produced by a tumor in the biological tissue. The resulting temperature distribution on the surface was imaged using an infrared camera. In order to estimate the location and heat generation rate of the source from these temperature distributions, a genetic algorithm was used as the estimation method. The genetic algorithm utilizes a finite difference scheme for the direct solution of the Pennes bioheat equation. It was determined that a genetic algorithm based approach is well suited for the estimation problem since both the depth and the heat generation rate of the heat source were accurately predicted.

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Gurfinkel, Michael, Shi Ke, Xiaoxia Wen, Chun Li, and Eva M. Sevick-Muraca. "Near-Infrared Fluorescence Optical Imaging and Tomography." Disease Markers 19, no. 2-3 (2004): 107–21. http://dx.doi.org/10.1155/2004/474818.

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The advent of recent advances in near-infrared laser diodes and fast electro-optic detection has spawned a new research field of diagnostic spectroscopy and imaging based on targeting and reporting exogenous fluorescent agents. This review seeks to concisely address the physics, instrumentation, advancements in tomography, and near-infrared fluorescent contrast agent development that promises selective and specific molecular targeting of diseased tissues. As an example of one area of the field, recent work focusing on pharmacokinetic analysis of fluorophores targeting the epidermal growth factor receptor (EGFR) is presented in a human breast cancer xenograft mouse model to demonstrate specificity of molecularly targeted contrast agents. Finally, a critical evaluation of the limitations and the opportunities for future translation of fluorescence-enhanced optical imaging of deep tissues is presented.

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Joblin, Anthony. "Tumor contrast in time-domain, near-infrared laser breast imaging." Applied Optics 36, no. 34 (December 1, 1997): 9050. http://dx.doi.org/10.1364/ao.36.009050.

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Joro, R., A. L. Lääperi, P. Dastidar, R. Järvenpää, T. Kuukasjärvi, T. Toivonen, R. Saaristo, and S. Soimakallio. "A dynamic infrared imaging-based diagnostic process for breast cancer." Acta Radiologica 50, no. 8 (October 2009): 860–69. http://dx.doi.org/10.1080/02841850903095377.

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Korb, Melissa L., Jason M. Warram, Joseph Grudzinski, Jamey Weichert, Justin Jeffery, and Eben L. Rosenthal. "Breast Cancer Imaging Using the Near-Infrared Fluorescent Agent, CLR1502." Molecular Imaging 14, no. 1 (January 2015): 7290.2014.00040. http://dx.doi.org/10.2310/7290.2014.00040.

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Poellinger, Alexander. "Near-infrared imaging of breast cancer using optical contrast agents." Journal of Biophotonics 5, no. 11-12 (November 2012): 815–26. http://dx.doi.org/10.1002/jbio.201200123.

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Keating, Jane, Julia Tchou, Olugbenga Okusanya, Carla Fisher, Rebecca Batiste, Jack Jiang, Gregory Kennedy, Shuming Nie, and Sunil Singhal. "Identification of breast cancer margins using intraoperative near-infrared imaging." Journal of Surgical Oncology 113, no. 5 (February 4, 2016): 508–14. http://dx.doi.org/10.1002/jso.24167.

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Bénard, Audrey, Christine Desmedt, Virginie Durbecq, Ghizlane Rouas, Denis Larsimont, Christos Sotiriou, and Erik Goormaghtigh. "Discrimination between healthy and tumor tissues on formalin-fixed paraffin-embedded breast cancer samples using IR imaging." Spectroscopy 24, no. 1-2 (2010): 67–72. http://dx.doi.org/10.1155/2010/376095.

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This work presents a pilot study to illustrate the potential of Fourier transform infrared (FT-IR) imaging in breast cancer research. Using this technique, we have acquired infrared (IR) microspectroscopic images from healthy and cancerous breast tissue section from one patient. First of all, a Studentt-test was applied, showing DNA/RNA spectral region (1400–1000 cm−1) as the most discriminant for the differentiation between healthy and tumor samples. Afterwards, a supervised pattern recognition method, Partial Least Squares (PLS) was used to develop an automated classifier to discriminate the two classes of data. Infrared spectra of independent IR measurements were used to test the classifier. The class identity was correlated with information obtained by histopathologic gold standard. The results showed that more than 95% of the training and validation spectra were correctly identified. We demonstrate that combination between IR microspectroscopic imaging and multivariate data analysis can be used as a complement to present diagnostic tools for breast cancer.

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Mudeng, Vicky, Gelan Ayana, Sung-Uk Zhang, and Se-woon Choe. "Progress of Near-Infrared-Based Medical Imaging and Cancer Cell Suppressors." Chemosensors 10, no. 11 (November 11, 2022): 471. http://dx.doi.org/10.3390/chemosensors10110471.

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Diffuse optical tomography, an imaging modality that utilizes near-infrared light, is a new way to assess soft tissue. It provides a non-invasive screening of soft tissue, such as the breast in females and prostate in males, to inspect the existence of cancer. This new imaging method is considered cost-effective and preferred because the implementation is simply through the application of a laser or light-emitting diode as a light source. Near-infrared technology does not only offer cancer screening modality, but also acts as a cancer treatment method, called near-infrared photoimmunotherapy. Despite plentiful studies in the area of near-infrared technology for cancer imaging and cancer cell suppression, there is no consolidated review that provides an overview of near-infrared application in cancer cell imaging and therapy. The objective of this study is to review near-infrared-based medical imaging and novel approaches to eradicate cancer cells. Additionally, we have discussed prospective instrumentation to establish cancer therapeutics apparatuses based on near-infrared technology. This review is expected to guide researchers implementing near-infrared for a medical imaging modality and cancer suppression in vitro, in vivo, and in clinical settings.

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Tayel, Mazhar Basyouni, and Azza Mahmoud Elbagoury. "Breast Infrared Thermography Segmentation Based on Adaptive Tuning of a Fully Convolutional Network." Current Medical Imaging Formerly Current Medical Imaging Reviews 16, no. 5 (May 28, 2020): 611–21. http://dx.doi.org/10.2174/1573405615666190503142031.

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Background: Accurate segmentation of Breast Infrared Thermography is an important step for early detection of breast pathological changes. Automatic segmentation of Breast Infrared Thermography is a very challenging task, as it is difficult to find an accurate breast contour and extract regions of interest from it. Although several semi-automatic methods have been proposed for segmentation, their performance often depends on hand-crafted image features, as well as preprocessing operations. Objective: In this work, an approach to automatic semantic segmentation of the Breast Infrared Thermography is proposed based on end-to-end fully convolutional neural networks and without any pre or post-processing. Methods: The lack of labeled Breast Infrared Thermography data limits the complete utilization of fully convolutional neural networks. The proposed model overcomes this challenge by applying data augmentation and two-tier transfer learning from bigger datasets combined with adaptive multi-tier fine-tuning before training the fully convolutional neural networks model. Results: Experimental results show that the proposed approach achieves better segmentation results: 97.986% accuracy; 98.36% sensitivity and 97.61% specificity compared to hand-crafted segmentation methods. Conclusion: This work provided an end-to-end automatic semantic segmentation of Breast Infrared Thermography combined with fully convolutional networks, adaptive multi-tier fine-tuning and transfer learning. Also, this work was able to deal with challenges in applying convolutional neural networks on such data and achieving the state-of-the-art accuracy.

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Yang, Zhen, Syed Muhammad Usama, Feng Li, Kevin Burgess, and Zheng Li. "A zwitterionic near-infrared dye linked TrkC targeting agent for imaging metastatic breast cancer." MedChemComm 9, no. 10 (2018): 1754–60. http://dx.doi.org/10.1039/c8md00190a.

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Herranz, Michel, and Alvaro Ruibal. "Optical Imaging in Breast Cancer Diagnosis: The Next Evolution." Journal of Oncology 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/863747.

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Breast cancer is one of the most common cancers among the population of the Western world. Diagnostic methods include mammography, ultrasound, and magnetic resonance; meanwhile, nuclear medicine techniques have a secondary role, being useful in regional assessment and therapy followup. Optical imaging is a very promising imaging technique that uses near-infrared light to assess optical properties of tissues and is expected to play an important role in breast cancer detection. Optical breast imaging can be performed by intrinsic breast tissue contrast alone (hemoglobin, water, and lipid content) or with the use of exogenous fluorescent probes that target specific molecules for breast cancer. Major advantages of optical imaging are that it does not use any radioactive components, very high sensitivity, relatively inexpensive, easily accessible, and the potential to be combined in a multimodal approach with other technologies such as mammography, ultrasound, MRI, and positron emission tomography. Moreover, optical imaging agents could, potentially, be used as “theranostics,” combining the process of diagnosis and therapy.

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Yadlapalli, Priyanka, Madhavi K. Reddy, Sunitha Gurram, J. Avanija, K. Meenakshi, and Padmavathi Kora. "Breast Thermograms Asymmetry Analysis using Gabor filters." E3S Web of Conferences 309 (2021): 01109. http://dx.doi.org/10.1051/e3sconf/202130901109.

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Women are far more likely than males to acquire breast cancer, and current research indicates that this is entirely avoidable. It is also to blame for higher death rates among younger women compared to older women in nearly all developing nations. Medical imaging modalities are continuously in need of development. A variety of medical techniques have been employed to detect breast cancer in women. The most recent studies support mammography for breast cancer screening, although its sensitivity and specificity remain suboptimal, particularly in individuals with thick breast tissue, such as young women. As a result, alternative modalities, such as thermography, are required. Digital Infrared Thermal Imaging (DITI), as it is known, detects and records temperature changes on the skin’s surface. Thermography is well-known for its non-invasive, painless, cost-effective, and high recovery rates, as well as its potential to identify breast cancer at an early stage. Gabor filters are used to extract the textural characteristics of the left and right breasts. Using a support vector machine, the thermograms are then classified as normal or malignant based on textural asymmetry between the breasts (SVM). The accuracy achieved by combining Gabor features with an SVM classifier is around 84.5 percent. The early diagnosis of cancer with thermography enhances the patient’s chances of survival significantly since it may detect the disease in its early stages.

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Fanning, S. R., S. Short, K. Coleman, S. Andresen, G. T. Budd, H. Moore, A. Rim, J. Crowe, and D. E. Weng. "Correlation of dynamic infrared imaging with radiologic and pathologic response for patients treated with primary systemic therapy for locally advanced breast cancer." Journal of Clinical Oncology 24, no. 18_suppl (June 20, 2006): 10696. http://dx.doi.org/10.1200/jco.2006.24.18_suppl.10696.

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10696 Background: Assessment of response to therapy for locally advanced breast cancer includes serial assessments of physical exam, radiologic imaging, or repeated biopsies. Expense, subjective assessment, and patient risk make these methods impractical. Dynamic infrared imaging (DIRI) utilizes a quantum well infrared photon (QWIP) sensor with software to analyze the emission patterns over time. DIRI can detect biological temperature gradients with sensitivity of 0.009ºC. Tumor-induced local tissue nitric oxide production can increase local capillary blood flow. Anti-tumor therapies have been shown to result in decreased peri-tumoral capillary blood flow. These changes in temperature, detected by serial DIRI imaging, may provide a low cost, non-invasive, easily reproducible objective tool for real-time clinical assessment. Methods: In this prospective pilot study, we are evaluating patients with locally advanced breast cancer using serial DIRI. Primary endpoints include: sensitivity, specificity, PPV, and NPV of DIRI in comparison to pathologic response, concordance of DIRI to physical exam, and concordance of DIRI to standard radiographic evaluation at initial diagnosis and prior to surgery. DIRI results are reported as quantification of changes in the 0.2Hz modulation of temperature over the breast during the course of treatment and measurement of area of average temperature in a region of interest compared between breasts. One hundred patients will be enrolled in this trial. Results: Sixteen patients have been enrolled. Six have proceeded to surgery. All but one patient exhibited evidence of tumor response by physical exam. These findings correlated with response when comparing initial to pre-surgical MRI. In all responding patients, DIRI results revealed a decrease in the number of regions over the breast in which the 0.2Hz frequency dominated. Similarly, DIRI evaluation according to area of average temperature in the region of interest compared between breasts was concordant in patients with response to therapy. Conclusions: Assessment of response by physical exam, MRI, and DIRI were consistent. Preliminary data reveals that serial DIRI imaging can be an effective adjunctive tool. No significant financial relationships to disclose.

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Troyan, S., S. Gibbs-Strauss, S. Gioux, R. Oketokoun, F. Azar, A. Khamene, V. Kianzad, M. Rosenberg, B. L. Clough, and J. V. Frangioni. "Image-guided near-infrared fluorescent sentinel lymph node mapping in human breast cancer." Journal of Clinical Oncology 27, no. 15_suppl (May 20, 2009): e11591-e11591. http://dx.doi.org/10.1200/jco.2009.27.15_suppl.e11591.

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e11591 Background: Breast cancer surgery is presently performed without real-time image-guidance. We have developed a novel optical imaging system for image-guided surgery that uses invisible near-infrared (NIR) fluorescent light to highlight structures on the surgical field with high sensitivity, specificity, and contrast. We have also performed the first human clinical trial of the imaging system in women undergoing SLN mapping for breast cancer. Methods: We used a portable imaging system with an articulating arm that has 6 degrees of freedom, high power LED light source, custom optics, custom software, and sterile drape. The imaging system provided simultaneous and real-time imaging of color video and NIR fluorescence at up to 15 frames per second. N = 6 women with biopsy- confirmed breast cancer undergoing SLN mapping gave informed consent. All subjects received conventional mapping with Tc-99m sulfur colloid using a handheld gamma probe as well as NIR fluorescence-guided SLN mapping using a mixture of indocyanine green (ICG) diluted to a final concentration of 10 μM in human serum albumin (ICG:HSA). Results: The imaging system was easy to position in the operating room, with the articulating arm providing 50” horizontal reach and 70” vertical reach. Working distance to the patient was 18”. NIR fluorescence excitation was 20 mW/cm2 at 760 nm. NIR-depleted white light was 40,000 lux. A total of 1.6 ml of ICG:HSA was injected intra-tumorally and peri-tumorally and the site massaged for 5 min. 8 of 9 SLNs identified by Tc- 99m sulfur colloid were also identified by NIR fluorescence. However, NIR fluorescence identified an SLN, confirmed to have cancer in it, that was not identified by Tc-99m sulfur colloid. These differences were consistent with asynchrony in the injection techniques. Unlike the gamma-ray probe, NIR fluorescence provided high-resolution, large area optical imaging of the surgical field, and helped guide surgical resection. Conclusions: In this 6-patient pilot study, a novel NIR fluorescence optical imaging system was used for the first time, and provided real-time image-guided surgery for SLN mapping of breast cancer. No significant financial relationships to disclose.

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Budner, Oliver, Tomasz Cwalinski, Jarosław Skokowski, Luigi Marano, Luca Resca, Natalia Cwalina, Leszek Kalinowski, Richelle Hoveling, Franco Roviello, and Karol Polom. "Methylene Blue Near-Infrared Fluorescence Imaging in Breast Cancer Sentinel Node Biopsy." Cancers 14, no. 7 (April 3, 2022): 1817. http://dx.doi.org/10.3390/cancers14071817.

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Introduction: Fluorescence-based navigation for breast cancer sentinel node biopsy is a novel method that uses indocyanine green as a fluorophore. However, methylene blue (MB) also has some fluorescent properties. This study is the first in a clinical series presenting the possible use of MB as a fluorescent dye for the identification of sentinel nodes in breast sentinel node biopsy. Material and methods: Forty-nine patients with breast cancer who underwent sentinel node biopsy procedures were enrolled in the study. All patients underwent standard simultaneous injection of nanocolloid and MB. We visualized and assessed the sentinel nodes and the lymphatic channels transcutaneously, with and without fluorescence, and calculated the signal-to-background ratio (SBR). We also analyzed the corresponding fluorescence intensity of various dilutions of MB. Results: In twenty-three patients (46.9%), the location of the sentinel node, or the end of the lymphatic path, was visible transcutaneously. The median SBR for transcutaneous sentinel node location was 1.69 (range 1.66–4.35). Lymphatic channels were visible under fluorescence in 14 patients (28.6%) prior to visualization by the naked eye, with an average SBR of 2.01 (range 1.14–5.6). The sentinel node was visible under fluorescence in 25 patients (51%). The median SBR for sentinel node visualization with MB fluorescence was 2.54 (range 1.34–6.86). Sentinel nodes were visualized faster under fluorescence during sentinel node preparation. Factors associated with the rate of visualization included diabetes (p = 0.001), neoadjuvant chemotherapy (p = 0.003), and multifocality (p = 0.004). The best fluorescence was obtained using 40 μM (0.0128 mg/mL) MB, but we also observed a clinically relevant dilution range between 20 μM (0.0064 mg/mL) and 100 μM (0.032 mg/mL). Conclusions: For the first time, we propose the clinical usage of MB as a fluorophore for fluorescence-guided sentinel node biopsy in breast cancer patients. The quenching effect of the dye may be the reason for its poor detection rate. Our analysis of different concentrations of MB suggests a need for a detailed clinical analysis to highlight the practical usefulness of the dye.

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Xu, Chen, Baohong Yuan, and Quing Zhu. "Optimal probe design for breast imaging using near-infrared diffused light." Journal of Biomedical Optics 13, no. 4 (2008): 044002. http://dx.doi.org/10.1117/1.2966703.

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Joro, R., A. L. Lääperi, P. Dastidar, S. Soimakallio, T. Kuukasjärvi, T. Toivonen, R. Saaristo, and R. Järvenpää. "Imaging of breast cancer with mid- and long-wave infrared camera." Journal of Medical Engineering & Technology 32, no. 3 (January 2008): 189–97. http://dx.doi.org/10.1080/03091900701234358.

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Jiang, Huabei, Nicusor V. Iftimia, Yong Xu, Julia A. Eggert, Laurie L. Fajardo, and Karen L. Klove. "Near-Infrared Optical Imaging of the Breast with Model-Based Reconstruction." Academic Radiology 9, no. 2 (February 2002): 186–94. http://dx.doi.org/10.1016/s1076-6332(03)80169-1.

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Marcott, Curtis, Gloria M. Story, and Rina K. Dukor. "Infrared Spectral Imaging of H&E-Stained Breast Tissue Biopsies." Microscopy and Microanalysis 10, S02 (August 2004): 182–83. http://dx.doi.org/10.1017/s1431927604882424.

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Walsh, Michael J., Sarah E. Holton, Andre Kajdacsy-Balla, and Rohit Bhargava. "Attenuated total reflectance Fourier-transform infrared spectroscopic imaging for breast histopathology." Vibrational Spectroscopy 60 (May 2012): 23–28. http://dx.doi.org/10.1016/j.vibspec.2012.01.010.

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Dixit, Sanhita S., Hanyoup Kim, Christopher Comstock, and Gregory W. Faris. "Near infrared transillumination imaging of breast cancer with vasoactive inhalation contrast." Biomedical Optics Express 1, no. 1 (July 27, 2010): 295. http://dx.doi.org/10.1364/boe.1.000295.

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Tsuboi, Setsuko, and Takashi Jin. "Shortwave-infrared (SWIR) fluorescence molecular imaging using indocyanine green–antibody conjugates for the optical diagnostics of cancerous tumours." RSC Advances 10, no. 47 (2020): 28171–79. http://dx.doi.org/10.1039/d0ra04710d.

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Xu, Ronald X., Joseph Ewing, Hamid El-Dahdah, Bei Wang, and Stephen P. Povoski. "Design and Benchtop Validation of a Handheld Integrated Dynamic Breast Imaging System for Noninvasive Characterization of Suspicious Breast Lesions." Technology in Cancer Research & Treatment 7, no. 6 (December 2008): 471–81. http://dx.doi.org/10.1177/153303460800700609.

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We have developed a portable, handheld, integrated, dynamic breast imaging system that integrates a near infrared tissue oximeter, clinical ultrasound, and two pressure sensors for noninvasive detection of pressure-induced structural and functional dynamics of suspicious breast lesions. A series of benchtop tests were conducted to validate multiple performance characteristics of the integrated dynamic near infrared/ultrasound breast imaging system (idNIRUS), including the reconstruction of the absorptive heterogeneities and the generation of the dynamic compression stimuli. In absorptive heterogeneity testing, we reconstructed the absorption coefficients of transparent polypropylene tubing circulated with a skim milk-India ink mixture and embedded in a gel wax tissue simulating phantom. High linear correlations (R2 greater than 0.989) were observed between the reconstructed and the measured absorption coefficients of the embedded tubing. In dynamic compression testing, five volunteer operators generated ten successive compression sessions by compressing the idNIRUS imager on a breast self examination wearable model following the computer simulated pressure profile. The manually generated pressure profiles demonstrated an accuracy of 95.7% and operator-dependent variation of less than 5%. The results of the current benchtop tests will help to optimize the most appropriate testing conditions for our future planned clinical trial.

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Grosenick, Dirk, Heidrun Wabnitz, and Rainer Macdonald. "Diffuse near-infrared imaging of tissue with picosecond time resolution." Biomedical Engineering / Biomedizinische Technik 63, no. 5 (October 25, 2018): 511–18. http://dx.doi.org/10.1515/bmt-2017-0067.

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Abstract Optical imaging of biological tissue in vivo at multiple wavelengths in the near-infrared (NIR) spectral range can be achieved with picosecond time resolution at high sensitivity by time-correlated single photon counting. Measuring and analyzing the distribution of times of flight of photons randomly propagated through the tissue has been applied for diffuse optical imaging and spectroscopy, e.g. of human breast tissue and of the brain. In this article, we review the main features and the potential of NIR multispectral imaging with picosecond time resolution and illustrate them by exemplar applications in these fields. In particular, we discuss the experimental methods developed at the Physikalisch-Technische Bundesanstalt (PTB) to record optical mammograms and to quantify the absorption and scattering properties from which hemoglobin concentration and oxygen saturation of healthy and diseased breast tissue have been derived by combining picosecond time-domain and spectral information. Furthermore, optical images of functional brain activation were obtained by a non-contact scanning device exploiting the null source-detector separation approach which takes advantage of the picosecond time resolution as well. The recorded time traces of changes in the oxy- and deoxyhemoglobin concentrations during a motor stimulation investigation show a localized response from the brain.

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Hankare, Priya Tushar. "Breast abnormality based early diagnosis of breast cancer using non-invasive digital infrared thermal imaging." International Journal of Medical Engineering and Informatics 10, no. 4 (2018): 297. http://dx.doi.org/10.1504/ijmei.2018.095072.

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Hankare, Priya Tushar. "Breast abnormality based early diagnosis of breast cancer using non-invasive digital infrared thermal imaging." International Journal of Medical Engineering and Informatics 10, no. 4 (2018): 297. http://dx.doi.org/10.1504/ijmei.2018.10014081.

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Journal articles on the topic 'Breast infrared imaging'

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