Computer-aided diagnosis in radiology: potential and pitfalls

Computer-aided diagnosis in radiology: potential and pitfalls
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DOI:
10.1016/s0720-048x(99)00016-9
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发表时间:
1999-08-01
影响因子:
3.3
通讯作者:
Jiang, YL
Jiang, YL
中科院分区:
医学3区
文献类型:
--
作者:
Doi, K;MacMahon, H;Jiang, YL

文献摘要

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计算机辅助诊断(CAD)可以被定义为由医生将计算机输出作为第二意见进行的诊断。计算机辅助诊断的目的是提高诊断的准确性和放射科医师对图像解释的一致性。本文简要介绍了一些用于检测和鉴别诊断胸片中肺结节和间质性阴影以及乳腺X线片中簇状微钙化和肿块的CAD方案。ROC分析清楚地表明,当计算机输出可用时,放射科医生的表现得到了显着改善。本文介绍了一种用于乳腺X线摄影中乳腺病变检测的智能CAD工作站。从前10000例病例中获得的结果表明,CAD在检测大约一半的“漏诊”乳腺癌方面具有潜力。(C)1999爱思唯尔科学爱尔兰有限公司保留所有权利。
Computer-aided diagnosis (CAD) may be defined as a diagnosis made by a physician who takes into account the computer output as a second opinion. The purpose of CAD is to improve the diagnostic accuracy and the consistency of the radiologists' image interpretation. This article is to provide a brief overview of some of CAD schemes for detection and differential diagnosis of pulmonary nodules and interstitial opacities in chest radiographs as well as clustered micro-calcifications and masses in mammograms. ROC analysis clearly indicated that the radiologists' performances were significantly improved when the computer output was available. An intelligent CAD workstation was developed for detection of breast lesions in mammograms. Results obtained from the first 10 000 cases indicated the potential of CAD in detecting approximately one-half of 'missed' breast cancer. (C) 1999 Elsevier Science Ireland Ltd. All rights reserved.