Relevant bibliographies by topics / Focal liver lesion

Academic literature on the topic 'Focal liver lesion'

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Published: 10 March 2023

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Journal articles on the topic "Focal liver lesion"

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Roebuck, Derek. "Focal liver lesion in children." Pediatric Radiology 38, S3 (May 10, 2008): 518–22. http://dx.doi.org/10.1007/s00247-008-0850-9.

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Goral, Vedat, Kerem Mert Goral, and Necati Ormeci. "Follow-up Strategies in Focal Liver Lesions and Treatment Methods." Gastroenterology Pancreatology and Hepatobilary Disorders 6, no. 2 (January 12, 2022): 01–07. http://dx.doi.org/10.31579/2641-5194/059.

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Today, advances in cross-sectional imaging have led to the detection and early recognition of incidental/focal liver lesions (FCL). In approximately 17,000 cases of chest CT, incidental liver lesions were found in 6% [1]. In general, FCL consists of hepatocytes, biliary epithelium, mesenchymal tissue, connective tissue, or metastasized cells from distant sites. Most incidental lesions are benign, some may require careful management and treatment. In evaluating the lesion, the patient's clinical history, underlying disease and age factor should be considered. FCL can be detected at a rate of 10-30% in normal healthy and chronic liver disease patients, and even in oncology patients with malignancy, FCLs can be highly benign (50-80%)
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Liao, Ai-Ho, Ya-Chien Cheng, Chien-Hsiu Weng, Ting-Fen Tsai, Wei-Hsiang Lin, Shiou-Hwei Yeh, Wen-Chun Yeh, and Pai-Chi Li. "Characterization of Malignant Focal Liver Lesions with Contrast-Enhanced 40 MHz Ultrasound Imaging in Hepatitis B Virus X Transgenic Mice: A Feasibility Study." Ultrasonic Imaging 30, no. 4 (October 2008): 203–16. http://dx.doi.org/10.1177/016173460803000402.

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Contrast-enhanced ultrasound (CEUS) imaging has been a reliable clinical method of detecting three vascular contrast phases and characterizing focal liver lesions. Previous results were all from human (i.e., clinical studies). The main purpose of this study was to extend this to small animals and to investigate the feasibility of using CEUS in preclinical research. Specifically, high-frequency (40 MHz) ultrasound liver imaging with albumin-shelled microbubbles was employed to detect the three vascular contrast phases and characterize focal liver lesions that developed in thirteen Hepatitis B virus X (HBx) transgenic mice at around 14 to 16 months of age. Previous studies indicated that 90–100% incidence of hepatocellular carcinoma (HCC) was observed in HBx transgenic male mice. After injecting the contrast agent, the time-intensity curves (TICs) of focal liver lesions, vessels in focal liver lesions and surrounding liver parenchyma tissues were measured for 30 minutes. The peak of mean intensity relative to the baseline increased 7.36 dB (p<0.02). On the other hand, the mean contrast between the focal liver lesion and the liver parenchyma increased by 7.74 (p<0.05) dB, thus allowing clear detection of the lesion margin. Histopathology investigations confirmed the development of the lesion in these mice. In addition, guidelines of European Federation of Societies for Ultrasound in Medicine and Biology were followed as an attempt to characterize features of the TICs in mice. The arterial phase was defined as 2 to 60 seconds post contrast injection, and the parenchyma phase was defined as the time period from 10 to 30 minutes post contrast injection. Comparing the imaging with the pathology results, the sensitivity, specificity and accuracy of CEUS for the detection of malignant focal liver lesion in HBx transgenic mice were 91%, 100% and 92%. These results demonstrated that high-frequency CEUS imaging potentially can be used for detecting the three vascular contrast phases of malignant focal liver lesions and characterizing malignant focal liver lesions in mice. Thus can be a valuable tool in preclinical research.
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Shiozawa, Kazue, Manabu Watanabe, Takashi Ikehara, Michio Kogame, Mie Shinohara, Masao Shinohara, Koji Ishii, Yoshinori Igarashi, Hiroyuki Makino, and Yasukiyo Sumino. "Evaluation of Hemodynamics in Focal Steatosis and Focal Spared Lesion of the Liver Using Contrast-Enhanced Ultrasonography with Sonazoid." Radiology Research and Practice 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/604594.

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We aim to investigate the hemodynamics in focal steatosis and focal spared lesion of the liver using contrast-enhanced ultrasonography (CEUS) with Sonazoid. The subjects were 47 patients with focal steatosis and focal spared lesion. We evaluated enhancement patterns (hyperenhancement, isoenhancement, and hypoenhancement) in the vascular phase and the presence or absence of a hypoechoic area in the postvascular phase for these lesions using CEUS. Of the 24 patients with focal steatosis, the enhancement pattern was isoenhancement in 19 and hypoenhancement in 5. Hypoechoic areas were noted in the postvascular phase in 3 patients. Of the 23 patients with focal spared lesions, the enhancement pattern was isoenhancement in 18 and hyperenhancement in 5. No hypoechoic areas were noted in the postvascular phase in any patient. The hemodynamics in focal steatosis and focal spared lesions in nondiffuse fatty liver can be observed using low-invasive procedures in real-time by CEUS. It was suggested that differences in the dynamics of enhancement in the vascular phase of CEUS were influenced by the fat deposits in the target lesion, the surrounding liver parenchyma, and the third inflow.
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Piorkowska, Marta Anna, Rok Dezman, Maria E. Sellars, Annamaria Deganello, and Paul S. Sidhu. "Characterization of a hepatic haemangioma with contrast-enhanced ultrasound in an infant." Ultrasound 26, no. 3 (October 19, 2017): 178–81. http://dx.doi.org/10.1177/1742271x17733298.

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Focal liver lesions are uncommon in the paediatric population, majority are benign but need to be clearly identified as benign. Contrast-enhanced ultrasound has recently received approval for paediatric hepatic use and represents an inexpensive and safe alternative to computed tomography and magnetic resonance imaging for focal liver lesion characterization. We report a case of an incidental focal liver lesion in a four-month-old infant, indeterminate on B-mode ultrasound but successfully characterized with contrast-enhanced ultrasound as a haemangioma, without recourse to other imaging techniques, and with minimal patient discomfort.
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Chi, Yanling, Jiayin Zhou, Sudhakar K. Venkatesh, Su Huang, Qi Tian, Tiffany Hennedige, and Jimin Liu. "Computer-aided focal liver lesion detection." International Journal of Computer Assisted Radiology and Surgery 8, no. 4 (March 31, 2013): 511–25. http://dx.doi.org/10.1007/s11548-013-0832-8.

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Roderburg, Christoph, Sven H. Loosen, Philipp Bruners, and Tom Luedde. "Die unklare Leberraumforderung." DMW - Deutsche Medizinische Wochenschrift 144, no. 23 (November 2019): 1651–64. http://dx.doi.org/10.1055/a-0733-6122.

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AbstractUnknown liver lesions represent a common clinical challenge, for example in the context of routine ultrasound examinations of primary care physicians. There are different data on the prevalence of primary liver lesions in the literature. As such, a forensic autopsy series described focal liver lesions in about 50 % of all examined men between 35 and 69 years of age with an increasing incidence for older people. In the diagnostic work-up of unclear liver lesions, a careful distinction between lesions that occur in asymptomatic and healthy individuals and are benign in over 95 % of cases, and lesion found in patients with pre-existing malignant, inflammatory or cirrhotic disease must be made. The main goal in the diagnosis of unclear liver lesions is to prove the benignity of the lesion and to exclude a malignant cause as reliably as possible. In case of benign lesions, an attempt should be made to achieve an exact classification. The most common benign focal liver lesions include liver cysts, focal fatty liver deposition or sparing, haemangiomas, focal calcifications, focal nodular hyperplasia (FNH), nodular regenerative hyperplasia, biliary hamartomas (von-Meyenburg complexes) and hepatocellular adenomas. Abscesses, inflammatory infiltrations or pseudotumors as well as sites of extramedullary haematopoiesis are observed much less frequently. Among the most frequent malignant focal liver lesions are metastases of other tumor entities such as colorectal cancer or pancreatic adenocarcinoma as well as hepatocellular carcinoma (HCC) and cholangiocellular carcinoma (CCA). Other entities such as hepatic lymphomas or mesenchymal malignant neoplasia are extremely rare.
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Sansone, Vito, Lorenzo Falsetti, Francesco Tovoli, Rita Golfieri, Matteo Cescon, and Fabio Piscaglia. "An Uncommon Focal Liver Lesion: Intrahepatic Splenosis." Journal of Gastrointestinal and Liver Diseases 29, no. 2 (June 3, 2020): 257–62. http://dx.doi.org/10.15403/jgld-617.

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Multiple focal liver lesions were incidentally detected in a patient screened by ultrasound for a recent diagnosis of lower limb deep vein thrombosis, for which anticoagulation had been initiated. Past medical history reported a post-traumatic splenectomy 15 years before. Magnetic resonance imaging (MRI) and contrast-enhanced ultrasound (CEUS) showed a subcapsular lesion in liver segment 5 consistent with focal nodular hyperplasia (FNH) and multiple other nodules, with a different pattern from the former, judged as probable hepatic adenomas by MRI but probable hemangiomas by CEUS (hyperenhancement in the late phase). Therefore, another MRI with gadoxetic acid was performed. The diagnosis of FNH was confirmed. The other lesions showed an hyperenhancing pattern in the arterial phase with progressive wash-out in the portal and late phase and marked hypointensity in the hepatobiliary phase. This pattern apparently confirmed the hypothesis of adenomas, with a potential risk of malignancy due to the hepatobiliary phase pattern and the recent occurrence of deep vein thrombosis. Due to the inherent risk of spontaneous bleeding from subcapsular adenomas increased by the ongoing anticoagulant therapy and the recommendation of international guidelines to resect adenomas in male subjects, the patient was directly offered surgery. Pathology of the resected specimens confirmed one FNH but demonstrated intrahepatic splenosis for all other lesions. This case suggests that in the setting of previous splenic trauma any discrepancy between MRI and CEUS findings should lead one to consider also the hypothesis of intrahepatic splenosis.
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Shahid, Soban, Sahar Javed, and Mustafa Ali Siddiqi. "Analysis of the Role of Shear Wave Elastography in Diagnosing Focal Liver Lesions." Pakistan Journal of Medical and Health Sciences 16, no. 8 (August 31, 2022): 361–63. http://dx.doi.org/10.53350/pjmhs22168361.

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Objective: Focal hepatic lesions are the second leading cause of death in men worldwide. However, shear wave elastography (SWE) has proved to help assess liver fibrosis. We aim to demonstrate the role of shear wave elastography in the diagnosis of focal liver lesions. Methods: A prospective study was conducted in the radiology department of CPEIC Multan from April 2021-April 2022. A total of 70 patients with 93 focal lesions were included. Shear wave elastography (SWE) was performed on all the patients, and local lesions and parenchyma stiffness values were calculated. Ten patients were excluded as they failed elastography acquisitions. Contrast-enhanced CT and MRI were performed on the remaining 60 patients. Thirty-two patients underwent liver biopsy. Benign focal lesions were confirmed by analyzing the results of ultrasound biopsy, CT, and MRI. Results: Cholangiocarcinoma was found to have the highest stiffness value (34.2kPa), hence the stiffest malignant lesion. Focal nodular hyperplasia had a stiffness value of 25.4kPa and was the most stiff benign lesion. The average stiffness value between malignant and benign lesions had a significant difference, the value of malignant lesions being significantly high ( p<0.001). Conclusion: Shear wave elastography can efficiently differentiate between malignant and benign hepatic lesions and can individually characterize these lesions accurately. Keywords: Focal liver lesions, malignant, stiffness value, shear wave elastography, benign
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Colagrande, Stefano, Francesco Regini, Filippo Pasquinelli, Lorenzo Nicola Mazzoni, Francesco Mungai, Antonella Filippone, and Luigi Grazioli. "Focal Liver Lesion Classification and Characterization in Noncirrhotic Liver." Journal of Computer Assisted Tomography 37, no. 4 (2013): 560–67. http://dx.doi.org/10.1097/rct.10.1097/rct.0b013e3182951fe9.

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Dissertations / Theses on the topic "Focal liver lesion"

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Militzer, Arne [Verfasser], and Joachim [Akademischer Betreuer] Hornegger. "Boosting Methods for Automatic Segmentation of Focal Liver Lesions / Arne Militzer. Gutachter: Joachim Hornegger." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2015. http://d-nb.info/1075480299/34.

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Bakas, Spyridon. "Computer-aided localisation, segmentation and quantification of focal liver lesions in contrast-enhanced ultrasound." Thesis, Kingston University, 2014. http://eprints.kingston.ac.uk/30592/.

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The research presented in this thesis focuses on applications of Contrast Enhanced Ultrasound (CEUS) imaging and is coordinated to address current clinical requirements in the assessment, quantification and evaluation of liver cancer and in particular focal liver lesions (FLLs). The main outcomes of this research are methods to assist radiologists with automating these routinely performed manual image interpretation tasks, with the intention of supporting them to make their diagnostic decisions faster, more easily and with greater confidence. Such automatic analysis is challenging mainly because of the relative motion between the ultrasound transducer and the liver, the physiological motion of the patient and the dramatic intensity changes over time caused by the contrast-enhancing agents intravenously injected during a CEUS examination. The work described in this thesis can be divided into three principal themes. These are addressed in turn below. Firstly, a set of methods are proposed to assist in automating initialisation tasks required for the offline assessment of data acquired during CEUS liver scans. These tasks relate to the delineation of the area comprising the ultrasonographic image, the identification of the optimal reference frame for initialising an FLL, as well as the segmentation of the FLL boundaries on this frame. The potential clinical value of the proposed methods is that they can lead to easier and faster assessment of FLLs, whilst producing results less dependent on the human initialisation and hence improving the repeatability and reproducibility of the assessment of the examination and increasing the confidence of radiologists when making a diagnosis. Secondly, a variety of methods are investigated to estimate the motion observed within the ultrasonographic image of CEUS screening recordings and then compensate for this, allowing for an accurate quantification of the perfusion of tissue regions. Obtaining a perfusion curve for an image region, without compensating for the observed motion, may lead to erroneous diagnostic results as the specified image region may correspond to different tissue along the video sequence. Quantitative evaluation of the presented methods demonstrates their potential as reliable real-time motion compensation methods for such recordings. Finally, an alternative fully automatic method for the identification and localisation of potential malignancies is proposed. For such identification, and hence distinction between cases that include potentially malignant and benign lesions, an innovative assessment of the global spatial configuration of local variations of perfusion curves is presented. For the localisation of tissue regions of potential malignancy, a novel feature is proposed that encompasses spatio-temporal information (Le. the combination of both the variation in these local perfusion curves and the location they relate to) to cluster together neighbouring regions with similar dynamic behaviour. The clinical value of the identification part is the early diagnosis of an FLL’s type and the possibility for the discharge of patients with benign FLLs, leading to less distress to the patients and their families, as well as reduced healthcare costs. Additionally, the localisation part assists in enhancing the radiologist’s awareness of tissue regions with potentially malignant behaviour, as well as providing effortless localisation of such regions allowing for an objective initialisation of computer-aided segmentation methods improving the repeatability and reproducibility of the assessment of CEUS data. The key findings of this research indicate that: i) the optimal reference frame can be reliably identified in a fully automatic and deterministic manner, ii) the segmentation of an F LL can be performed in a rapid semi-automatic manner, which produces results that are, at worst, of comparable consistency as different manual annotations, iii) the apparent observed motion can be compensated in real-time, either locally or globally, and a simple translation is sufficient to achieve this, iv) the distinction between benign and malignant lesions can be performed in a fully automatic and deterministic manner, without missing a single malignancy, and v) potential malignancies can be localised reliably in a fully automatic manner. Quantitative analysis of all results on real clinical data, from a multi-centre study, is used to evaluate the level of confidence of the decision of the proposed methods and demonstrates the value of these methods in a diverse dataset acquired using the protocol of current standard care. A system incorporating the proposed methods could improve the current clinical practice for assessing, quantifying and evaluating FLLs in CEUS recordings. Specifically, it would be beneficial to radiologists, for cancer research, providing easier and faster assessment of FLLs whilst producing results less dependent on the human initialisation and therefore increasing the confidence of radiologists in their diagnostic decisions.
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Halavaara, Juha. "Magnetic resonance imaging of focal liver lesions : characterization with the spin lock technique and detectability with tissue-specific contrast agents." Helsinki : University of Helsinki, 2002. http://ethesis.helsinki.fi/julkaisut/laa/kliin/vk/halavaara/.

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Chou, Chen-Te, and 周成德. "Characterization of focal liver lesion and detection of hepatocellular carcinoma: Utility of ferucarbotran-enhanced magnetic resonance imaging." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/10374140224809328500.

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博士
國立陽明大學
生物醫學影像暨放射科學系暨研究所
98
HCC is also one of the leading causes of cancer death in patients with cirrhosis in Taiwan. A majority of HCC cases arise due to chronic hepatitis and cirrhosis. With advances in imaging diagnosis, hepatic nodular lesions are now frequent found during the course of chronic liver disease. Currently, treatment of HCC included liver transplantation, segmental liver resection, and percutaneous minimal invasive therapies. Regardless of the therapeutic modalities used, it is well known that the best results are obtained in patients with small, noninvasive tumors. Due to the “multistep” carcinogenesis in patient with chronic liver disease, it is important to determine which types of hepatic nodules are precancerous. SPIO is a tissue-specific MR contrast agent that is taken by Kupffer cells in the liver and macrophages in the spleen. Phagocytosed SPIO particles in the Kupffer cells produce strong T1, T2, and T2* relaxation effects in the liver parenchyma. Ideally, malignant tumors retain no Kupffer cells and exhibit no signal change, resulting in increased tumor-liver contrast, which can be exploited to decrease threshold size for lesion detection. But the diagnosis of well-differentiated HCCs can be problematic: with the evolution of HCCs from dysplastic nodules, the loss of number and function of Kupffer cells within the lesions is gradual rather than abrupt. Kawamori et al reported the usefulness of SPIO-enhanced MRI in the differentiation of HCC from hyperplastic nodules in a rat model. Imai et al also found SPIO contrast agent (ferumoxide)-enhanced MRI useful in predicting the histological grading of HCC, but not in differentiating dysplastic nodules from well-differentiated HCC. Ferucarbotran has a strong effect on the shortening of both T1 and T2 relaxation time. As a result, it reduces the signal intensity of liver parenchyma on T2- and T2*- weighted imaging and increases T1 signal intensity of hepatic tumors depending upon the tumor vascularity on dynamic T1-weighted imaging. It is difficult to detect borderline lesions and early-stage HCCs such as dysplastic nodules and well differentiated HCCs (wHCCs) using SPIO-enhanced MRI due to SPIO uptake by the retained Kupffer cell activity in the nodules. We tried to determine the value of PSIL threshold for differentiation between benign and malignant lesions in high-risk patients with chronic liver disease. In the study, ferucarbotran-enhanced FS-T2WI with a PSIL threshold of 40% for differentiation between HCC and benign hepatic nodules in patients with liver cirrhosis or chronic hepatitis is recommended. It is useful for distinguishing moderately and poorly differentiated HCC from benign nodules in these patients. We tried to investigate the usefulness of ferucarbotran-enhanced MRI in determining the histological grading of HCC and distinguishing HCC from hyperplastic nodules on the basis of signal intensity changes. We found that the use of ferucarbotran in MRI helped to differentiate various histologic grades of HCC but could not differentiate hyperplastic nodules from well differentiated HCC on T2-weighted imaging after calculating PSIL. Dynamic post-ferucarbotran contrast-enhanced T1-weighted images did not provide additional information about the histologic grade of HCC. In our practice, ferucarbotran-enhanced accumulation phase T1WI with fat suppression imaging could improve HCC detection and has not been investigated. We designed a study to evaluate the effectiveness of ferucarbotran-enhanced accumulation phase FS-T1WI when used as part of a HCC detection protocol. The postcontrast accumulation phase FS-T1WI could increase HCC detection due to better CNR and is recommended as part of the routine protocol for HCC detection. T1W hyperintense nodules against a background of cirrhosis are diagnostically challenging in daily practice. We designed a study to evaluate the ferucarbotran-enhanced MR imaging with accumulation-phase fat suppression T1-weighted imaging in comparison with gadolinium-enhanced MR imaging for characterization of T1W hyperintense nodules within cirrhotic liver. We found ferucarbotran-enhanced MR imaging with accumulation-phase FS-T1WI is superior to gadolinium-enhanced MR imaging in characterization of T1W hyperintense nodule within cirrhotic liver and T1W hyperintense nodule within cirrhotic liver depicting hyperintense on ferucarbotran-enhanced accumulation-phase FS-T1WI should be investigated aggressively. In summary, it is hard to determine which types of hepatic nodules are precancerous in “multistep” carcinogenesis for patient with chronic liver disease. Through the specific property of ferucarbotran for liver, the ferucarbotran-enhanced MR offered additional information in characterization and detection of HCC. We successfully used the ferucarbotran-enhanced accumulation phase FS-T1WI to improve detection of HCC and characterization of T1W hyperintense nodule within patients with liver cirrhosis.
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"Advances in needle-related percutaneous intervention of focal liver lesions." Thesis, 2006. http://library.cuhk.edu.hk/record=b6074215.

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Focal liver lesions are commonly encountered in clinical practice. To be able to differentiate potentially life-threatening lesions from clinically insignificant lesions, and to be able to treat them effectively are the two basic problems of a clinician who comes across such lesions. Percutaneous intervention of the liver with a needle enables a clinician to solve the above two problems in a minimally invasive manner. To date, there is a diversity of needle-related percutaneous interventional procedures that are applicable to the clinical management of patients with liver lesions, such as biopsy of focal lesions, drainage of abscesses, and ablation of tumors. Despite a reasonable safety and efficacy associated with these procedures, there are always grounds of further improvement in techniques and technology of needle-related percutaneous procedures to achieve an even better outcome. It was hypothesized that the application of needle-related interventional radiology to clinical management of focal liver lesions could be facilitated and extended with advancement and refinement in needle-related techniques and technology. This thesis was based on a series of nine studies that aimed to explore the potential of needle-related percutaneous interventions in the clinical management of focal liver lesions and to study the effect of the introduction of innovations in needle-related techniques and technology on such clinical applications. It was concluded that the hypothesis was confirmed.
Yu Chun Ho.
"April 2006."
Adviser: Anil Ahuja.
Source: Dissertation Abstracts International, Volume: 68-08, Section: B, page: 5176.
Thesis (M.D.)--Chinese University of Hong Kong, 2006.
Includes bibliographical references (p. 219-235).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
School code: 1307.
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"The effectiveness of color power angiography in differentiation of focal hepatic lesions." 1998. http://library.cuhk.edu.hk/record=b5889773.

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by Young Lee Kei, Ricky.
Thesis (M.Phil.)--Chinese University of Hong Kong, 1998.
Includes bibliographical references (leaves 205-207).
Abstract also in Chinese.
Acknowledgements --- p.i
Statement of Originality --- p.ii
Abstract --- p.iii
Chapter Chapter 1 --- Introduction
Chapter 1.1 --- Anatomy of liver --- p.1
Chapter 1.2 --- Anatomical Implications --- p.16
Chapter Chapter 2 --- Background
Chapter 2.1 --- Common focal hepatic lesions --- p.21
Chapter 2.2 --- Imaging techniques --- p.28
Chapter 2.3 --- Characterization by sonography --- p.34
Chapter 2.4 --- Color Power Angiography --- p.38
Chapter Chapter 3 --- Hypothesis & Aims
Chapter 3.1 --- Hypothesis --- p.44
Chapter 3.2 --- Aims & Objectives --- p.45
Chapter Chapter 4 --- Material and Methods
Chapter 4.1 --- Materials --- p.47
Chapter 4.2 --- Mode of confirmation --- p.52
Chapter 4.3 --- Final number of subjects recruited --- p.54
Chapter 4.4 --- Method for obtaining CD and CPA image --- p.58
Chapter 4.5 --- Method for image analysis --- p.61
Chapter 4.6 --- Statistical analysis --- p.68
Chapter Chapter 5 --- Results
Chapter 5.1 --- Qualitative CD and CPA images assessment --- p.70
Chapter 5.2 --- Interobserver qualitative analysis --- p.78
Chapter 5.3 --- Spectral analysis --- p.84
Chapter 5.4 --- Semi-quantitative signal parameters --- p.87
Chapter 5.5 --- Dominance of quantified signals --- p.91
Chapter 5.6 --- Distribution of signals in various lesions (graphical presentation) --- p.97
Chapter 5.7 --- Penetrating vessel --- p.103
Chapter 5.8 --- Relationship between size of lesion and quantified signal parameters --- p.104
Chapter Chapter 6 --- Discussion
Chapter 6.1 --- Study Review --- p.109
Chapter 6.2 --- Methods of quantitation --- p.110
Chapter 6.3 --- Value of quantitation --- p.111
Chapter 6.4 --- Instrumentation --- p.112
Chapter 6.5 --- Subjects --- p.114
Chapter 6.6 --- Image analysis --- p.115
Chapter 6.7 --- Results --- p.117
Chapter 6.8 --- Relationship between size and amount of signals --- p.131
Chapter 6.9 --- Differentiation of focal hepatic lesions --- p.132
Chapter 6.10 --- Origin of CPA signals in small hyperechoic lesions --- p.144
Chapter 6.11 --- Limitations of CPA in focal hepatic lesion imaging --- p.146
Chapter 6.12 --- Comparison with similar studies --- p.151
Chapter 6.13 --- Validation of quantitation results --- p.158
Chapter Chapter 7 --- Conclusions --- p.159
References --- p.162
Legends --- p.176
Tables --- p.186
Glossary of abbreviations --- p.193
Selected publications relevant to thesis --- p.197
Appendix --- p.198
Bibliography --- p.205
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Lin, Wen-Pei, and 林文旆. "Evaluation of liver with diffusion weighted magnetic resonance imaging and characterization of focal hepatic lesions." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/bzy33b.

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碩士
元培科技大學
影像醫學研究所
96
Abstract Background and purpose: Magnetic resonance diffusion-weighted image (DWI) is a useful technique which detects water diffusivity by applying diffusion gradient in three-orthogonal directions. The purpose of this study is to investigate the changes of water diffusivity in liver tissue with diseases, and further differentiate disease types by measured apparent diffusion coefficient (ADC). Material and methods: In this study, we enrolled 55 patients with hepatoma, hemangioma, hepatic cyst, cirrhosis and metastasis. The diffusion-weighted pulse sequence was conducted on those patients at a 1.5T MR scanner (GE, Signa HDx) using two diffusion-weighting factors, b=0 and 500 s/mm2, and ADC value was calculated after data acquisition. Results: ADC value is (1.31±0.28) x 10-3 mm2/sec in hepatoma tissue, (2.82±0.88) x 10-3 mm2/sec in hemangioma, (3.70±0.51) x 10-3 mm2/sec in hepatic cyst, (1.30±0.40) x 10-3 mm2/sec in hepatic cirrhosis, and is (0.99±0.04) x 10-3 mm2/sec in metastasis. Discussion and conclusions: We evaluated 55 patients with hepatic diseases, and our study shows consistent results with previous report. Our study demonstrated DWI has high differentiating rate, high contrast and SNR, suggesting that DWI is capable of studying hepatic tissue, and can be a helpful technique for differentiating hepatic diseases. Keywords: Magnetic resonance imaging, Brownian motion, Differentiating rate, contrast, SNR
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TRAPANI, Silvia. "Gli analoghi della somatostatina nel trattamento dell’epatocarcinoma in stadio avanzato." Doctoral thesis, 2012. http://hdl.handle.net/11573/505722.

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BACKGROUND: Il trattamento con la somatostatina ed i suoi analoghi long-acting potrebbe rappresentare un’opportunità terapeutica per quei pazienti con tumore primitivo del fegato in stadio avanzato per le sue provate proprietà antiproliferative e pro-apoptotiche. L’azione di questi farmaci è mediata da specifici recettori espressi sulla membrana plasmatica delle cellule neoplastiche. OBIETTIVI DELLO STUDIO: Valutare 1) la frequenza della espressione dei recettori per la somatostatina nei noduli di HCC mediante scintigrafia con octreotide marcata (OCTREOSCAN®), tecniche immunoistochimiche e dosaggio dei livelli plasmatici di Cromogranina A; 2) l’efficacia in termini di sopravvivenza, qualità della vita e riduzione della massa neoplastica della somministrazione di Octreotide LAR 30 mg; 3) la tollerabilità della terapia; PAZIENTI E METODI: Da novembre 2004 a giugno 2007 abbiamo arruolato 59 pazienti con diagnosi di epatocarcinoma in stadio avanzato, di questi 49 sono risultati positivi all’OCTREOSCAN e pertanto trattati, mentre 10, non presentando espressione dei SSTR2, sono stati utilizzati come gruppo controllo e trattati esclusivamente con terapia di supporto. La ricerca immunoistochimica volta a valutare non solo la presenza dei recettori per la somatostatina ma anche l’efficacia del trattamento mediante la quantificazione dell’indice di proliferazione cellulare, dell’angiogenesi e dell’ l’apoptosi indotta dal farmaco, è stata possibile solo in 12 pazienti per problematiche tecniche. Di questi 12 pazienti, 7 erano stati sottoposti anche a OCTREOSCAN, per cui è stato possibile confrontare le due tecniche anche se su un campione esiguo. Nel Luglio 2007, in seguito allo studio SHARP (Sorafenib And Hepatocellular carcinoma Randomized Protocol) seguito da quello Asia-Pacific, l’FDA (Food and Drug Administration) ha approvato come unico farmaco efficace per il trattamento dell’epatocarcinoma in stadio avanzato, il sorafenib. Non è stato quindi più possibile proporre come farmaco di prima scelta l’octreotide, come in precedenza. Dal punto di vista pratico, abbiamo inoltre incontrato difficoltà tecniche nella disponibilità dell’OCTREOSCAN. Abbiamo pertanto deciso di avvalerci di un ulteriore metodo, se pur indiretto, per valutare la componente neuroendocrina dell’epatocarcinoma e selezionare i pazienti che avrebbero più di altri beneficiato della terapia a base di analoghi della somatostatina. Numerosi studi infatti presenti in letteratura dimostrano che la Cromogranina A è un marcatore di elezione della componente neuroendocrina di numerosi tumori gastro-enterici e anche dell’epatocarcinoma. Dal Luglio 2007 ad oggi, quindi, sulla base dei livelli plasmatici di CgA e della non eleggibilità a terapia con sorafenib, sono stai arruolati altri 17 pazienti per un totale di 76 pazienti. I pazienti non trattabili a causa di valori di Cromogranina A troppo bassi sono stati considerati nel nostro gruppo controllo. Ogni paziente è stato trattato, nella prima settimana, con Octreotide in forma prontamente disponibile e non deposito alla dose di 0.5 mg per via sottocutanea per due volte al giorno, al fine di testare la tollerabilità del trattamento, e poi con Octreotide LAR 30 mg per via intramuscolare profonda ogni 28 giorni fino all'exitus del paziente o, comunque, fino a nostro giudizio. La sopravvivenza è stata valutata a 3, 6 e 12 mesi dall’inizio della terapia fino ad exitus. Ogni paziente, inoltre, è stato invitato a compilare prima dell’inizio della terapia e, successivamente, ad ogni controllo il questionario SF36 per la valutazione della qualità della vita, che è stata possibile in 24 pazienti in quanto i restanti sono deceduti precocemente e, pertanto, non si è disposto di un follow-up adeguato. Ogni paziente arruolato in questo studio è stato sottoposto a controlli biochimici e strumentali trimestrali (AFP, US e/o CT e/o RMN) al fine di valutare la risposta al trattamento in termine di crescita tumorale. In base a ciò sono stati individuati, secondo i criteri RECIST ed mRECIST (pubblicati nel 2011), tre gruppi di pazienti: 1) quelli in cui si è osservata una progressione della malattia (PD); 2) quelli in cui si è osservata una stabilità della malattia (SD) e 3) quelli in cui si è osservata una regressione della malattia (RD). RISULTATI: La prevalenza dei recettori SSTR2 e 5 a livello delle cellule di epatocarcinoma è risultata pari all’89,8 %. Non abbiamo osservato significative differenze di sopravvivenza tra i pazienti trattati e quelli non trattati e la maggior parte dei pazienti sembra avere una progressione di malattia in termini di evoluzione della massa neoplastica. La nostra ricerca ha tuttavia individuato un sottogruppo di pazienti che sembra beneficiare di tale terapia sia in termini di sopravvivenza che di risposta al trattamento della neoplasia. E’ possibile, quindi, che siano questi i pazienti da identificare preventivamente ed indirizzare al trattamento con analoghi della somatostatina. Il trattamento è risultato sicuro e ben tollerato, è stato necessaria infatti la sospensione solo in un singolo caso. Il trattamento non è risultato compromettere in alcun modo la qualità della vita di questi pazienti in cui forse questo dovrebbe essere il principale end point.
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Namkung, Sook [Verfasser]. "Superparamagnetic iron oxide (SPIO)-enhanced liver MR imaging with ferucarbotran : efficacy for characterization of focal liver lesions with T2-weighted FSE and T2*-weighted GRE and early dynamic T1-weighted GRE sequences / vorgelegt von Sook Namkung." 2006. http://d-nb.info/98196723X/34.

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Books on the topic "Focal liver lesion"

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Lencioni, Riccardo, Dania Cioni, and Carlo Bartolozzi, eds. Focal Liver Lesions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b137465.

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Shamsi, Kohkan. Medical imaging of focal liver lesions: A clinico-radiologic approach. Amsterdam: Elsevier, 1994.

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Bartolotta, Tommaso Vincenzo, Adele Taibbi, and Massimo Midiri. Atlas of Contrast-enhanced Sonography of Focal Liver Lesions. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17539-3.

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Wee, Aileen, Pichet Sampatanukul, and Nirag Jhala. Cytohistology of Focal Liver Lesions. Cambridge University Press, 2014.

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Wee, Aileen, Pichet Sampatanukul, and Nirag Jhala. Cytohistology of Focal Liver Lesions. Cambridge University Press, 2015.

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Lencioni, Riccardo, Dania Cioni, Carlo Bartolozzi, A. L. Baert, and various. Focal Liver Lesions: Detection, Characterization, Ablation. Springer, 2010.

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Focal Liver Lesions: Detection, Characterization, Ablation (Medical Radiology). Springer, 2006.

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Midiri, Massimo, Tommaso Vincenzo Bartolotta, and Adele Taibbi. Atlas of Contrast-Enhanced Sonography of Focal Liver Lesions. Springer, 2015.

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Midiri, Massimo, Adele Taibbi, and Tommaso Vincenzo Vincenzo Bartolotta. Atlas of Contrast-enhanced Sonography of Focal Liver Lesions. Springer, 2016.

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Midiri, Massimo, Tommaso Vincenzo Bartolotta, and Adele Taibbi. Atlas of Contrast-enhanced Sonography of Focal Liver Lesions. Springer, 2015.

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Book chapters on the topic "Focal liver lesion"

1

Migaleddu, Vincenzo, and Giuseppe Virgilio. "Focal Liver Lesion: Nonlinear Contrast-Enhanced Ultrasound Imaging." In Liver Cancer, 159–81. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9804-8_12.

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Han, Xian-Hua, Jian Wang, Yuu Konno, and Yen-Wei Chen. "Bayesian Saliency Model for Focal Liver Lesion Enhancement and Detection." In Computer Vision – ACCV 2016 Workshops, 32–45. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54526-4_3.

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Bakas, Spyridon, Andreas Hoppe, Katerina Chatzimichail, Vasileios Galariotis, Gordon Hunter, and Dimitrios Makris. "Focal Liver Lesion Tracking in CEUS for Characterisation Based on Dynamic Behaviour." In Advances in Visual Computing, 32–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33179-4_4.

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Suma, H. N., Appaji M. Abhishek, M. Chaithanya Lakshmi, and Y. Veena. "Multiple Classification Method for Analysis of Liver Lesion with Focal Liver Segmentation Techniques for CT Image." In Lecture Notes in Electrical Engineering, 193–206. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1000-9_18.

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Wang, Weining, Yizi Jiang, Tingting Shi, Longzhong Liu, Qinghua Huang, and Xiangmin Xu. "Automatic Classification of Focal Liver Lesion in Ultrasound Images Based on Sparse Representation." In Lecture Notes in Computer Science, 513–27. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71589-6_45.

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Wang, Jian, Xian-Hua Han, Jiande Sun, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, and Yen-Wei Chen. "Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images." In Advances in Multimedia Information Processing – PCM 2018, 696–704. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00767-6_64.

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Schima, Wolfgang, Dow-Mu Koh, and Richard Baron. "Focal Liver Lesions." In IDKD Springer Series, 173–96. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75019-4_17.

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Schima, Wolfgang, and Richard Baron. "Focal Liver Lesions." In Diseases of the Abdomen and Pelvis 2014–2017, 95–110. Milano: Springer Milan, 2014. http://dx.doi.org/10.1007/978-88-470-5659-6_12.

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Schima, Wolfgang, and Richard Baron. "Focal Liver Lesions." In Diseases of the Abdomen and Pelvis 2010–2013, 63–74. Milano: Springer Milan, 2010. http://dx.doi.org/10.1007/978-88-470-1637-8_9.

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Rummeny, Ernst J. "Benign Focal Liver Lesions." In Abdominal and Pelvic MRI, 21–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-18194-8_3.

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Conference papers on the topic "Focal liver lesion"

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Raboh, Moshe, Dana Levanony, Paul Dufort, and Arkadiusz Sitek. "Context in medical imaging: the case of focal liver lesion classification." In Image Processing, edited by Ivana Išgum and Olivier Colliot. SPIE, 2022. http://dx.doi.org/10.1117/12.2609385.

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Mihailescu, Dan Mihai, Vasile Gui, Corneliu Ioan Toma, Alina Popescu, and Ioan Sporea. "Simultaneous filtering and tracking of focal liver lesion for time intensity curve analysis in contrast enhanced ultrasound imagery." In 2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2014. http://dx.doi.org/10.1109/sami.2014.6822413.

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Wang, Yuqi, Kun Wang, and Jie Tian. "A tracking-based semi-automatic software for focal liver lesion extraction in contrast-enhanced ultrasound (CEUS) cine-loops." In Imaging Informatics for Healthcare, Research, and Applications, edited by Thomas M. Deserno and Po-Hao Chen. SPIE, 2020. http://dx.doi.org/10.1117/12.2542984.

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Hu, Hang-Tong, Ming Kuang, Ming-De Lu, Xiao-Yan Xie, Sui Peng, Wei Wang, and Xin Li. "IDDF2019-ABS-0148 Focal liver lesion classification using a convolutional neural network based transfer-learning algorithm on tri-phase images of contrast-enhanced ultrasound." In International Digestive Disease Forum (IDDF) 2019, Hong Kong, 8–9 June 2019. BMJ Publishing Group Ltd and British Society of Gastroenterology, 2019. http://dx.doi.org/10.1136/gutjnl-2019-iddfabstracts.274.

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Bakas, Spyridon, Gordon Hunter, Dimitrios Makris, and Celia Thiebaud. "Spot the Best Frame: Towards Intelligent Automated Selection of the Optimal Frame for Initialisation of Focal Liver Lesion Candidates in Contrast-Enhanced Ultrasound Video Sequences." In 2013 9th International Conference on Intelligent Environments (IE). IEEE, 2013. http://dx.doi.org/10.1109/ie.2013.20.

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Mattison, Lars M., and Paul A. Iaizzo. "Physiological Assessment of Cardiac Muscle Post-Irreversible Electroporation Therapy." In 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3542.

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Abstract:
Ablations have become the gold clinical standard of drug resistant atrial fibrillation (AF). AF is projected to affect 50 million people by the year 20501. Today, two primary methods of ablation are used clinically: radio frequency and cryoablation. These ablation technologies are equally effective1 but still cause complications. A majority of these complications arise from the fact that both technologies require a thermal change in the tissue to cause cell death. Thermal change of the tissue while effective, can be subject to many different variables that may result in collateral damage. These include levels of focal blood flow, location of vessels near the ablation site, and/or adjacent tissue damage causing clinical issues such as esophageal fistulas or phrenic nerve injury. Irreversible Electroporation serves as a possible non-thermal alternative. This therapy is a train of high voltage (>500V/cm) short DC pulses that cause pores to form in the cell membrane. If a large enough electric field is applied, then the pores in the cell membrane can cause permanent damage resulting in cell death. To date, the majority of irreversible electroporation research that has been done has examined the use of this approach for treating cancerous tumors in the skin, prostate, and liver. Very little study of this potential treatment relating to the heart has been done other than synchronizing delivery of the therapy with the heartbeat to not induce ventricular fibrillation. The appeal of a potentially more predictable lesion would be highly desired in this clinical realm. Here we present initial investigations as to the functional response of cardiac tissue to electroporative energy via the NanoKnife.
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Sirbu, Cristina Laura, Georgiana Simion, and Catalin Daniel Caleanu. "Deep CNN for Contrast-Enhanced Ultrasound Focal Liver Lesions Diagnosis." In 2020 International Symposium on Electronics and Telecommunications (ISETC). IEEE, 2020. http://dx.doi.org/10.1109/isetc50328.2020.9301116.

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Wang, Weibin, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Qingqing Chen, Dong Liang, Lanfen Lin, Hongjie Hu, and Qiaowei Zhang. "Classification of Focal Liver Lesions Using Deep Learning with Fine-Tuning." In the 2018 International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3299852.3299860.

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Dandan, Li, Zhang Yakui, and Jin Jing. "Kernel sparse representation based classification of focal liver lesions with contrast-enhanced ultrasound." In 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2017. http://dx.doi.org/10.1109/i2mtc.2017.7969968.

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Militzer, Arne, Tobias Hager, Florian Jager, Christian Tietjen, and Joachim Hornegger. "Automatic Detection and Segmentation of Focal Liver Lesions in Contrast Enhanced CT Images." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.618.

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Reports on the topic "Focal liver lesion"

1

Sui, Ping, Lipeng Sun, and Hui Wang. Diagnostic accuracy of ultrasound superb microvascular imaging for focal liver lessions :A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2020. http://dx.doi.org/10.37766/inplasy2020.12.0081.

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Qu, Meijing, Zhaohua Jia, Lipeng Sun, and Hui Wang. Diagnostic accuracy of three-dimensional contrast-enhanced ultrasound for focal liver lessions: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2021. http://dx.doi.org/10.37766/inplasy2021.5.0096.

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