Computer-aided diagnosis for contrast-enhanced ultrasound in the liver |
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Authors: | Sugimoto Katsutoshi Shiraishi Junji Moriyasu Fuminori Doi Kunio |
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Institution: | Katsutoshi Sugimoto, Junji Shiraishi, Kunio Doi, Kurt Rossmann Laboratories for Radiologic Imaging Research, Department of Radiology, The University of Chicago, Chicago, IL 60637, United States;Katsutoshi Sugimoto, Fuminori Moriyasu, Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo 160-0023, Japan;Junji Shiraishi, School of Health Sciences, Kumamoto University, Kumamoto 862-0976, Japan |
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Abstract: | Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. The basic concept of CAD is to provide computer output as a second opinion to assist radiologists' image interpretations by improving the accuracy and consistency of radiologic diagnosis and also by reducing the image-reading time. To date, research on CAD in ultrasound (US)-based diagnosis has been carried out mostly for breast lesions and has been limited in the fields of gastroenterology and hepatology, with most studies being conducted using B-mode US images. Two CAD schemes with contrast-enhanced US (CEUS) that are used in classifying focal liver lesions (FLLs) as liver metastasis, hemangioma, or three histologically differentiated types of hepatocellular carcinoma (HCC) are introduced in this article: one is based on physicians' subjective pattern classifications (subjective analysis) and the other is a computerized scheme for classification of FLLs (quantitative analysis). Classification accuracies for FLLs for each CAD scheme were 84.8% and 88.5% for metastasis, 93.3% and 93.8% for hemangioma, and 98.6% and 86.9% for all HCCs, respectively. In addition, the classification accuracies for histologic differentiation of HCCs were 65.2% and 79.2% for well-differentiated HCCs, 41.7% and 50.0% for moderately differentiated HCCs, and 80.0% and 77.8% for poorly differentiated HCCs, respectively. There are a number of issues concerning the clinical application of CAD for CEUS, however, it is likely that CAD for CEUS of the liver will make great progress in the future. |
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Keywords: | Computer-aided diagnosis Focal liver lesion Ultrasonography Contrast agent Micro-flow imaging |
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