Zheng Bin, Shah Ratan, Wallace Luisa, Hakim Christiane, Ganott Marie A, Gur David
Department of Radiology, University of Pittsburgh and Magee-Womens Hospital, PA 15213, USA.
Acad Radiol. 2002 Nov;9(11):1245-50. doi: 10.1016/s1076-6332(03)80557-3.
The authors assessed and compared the performance of a computer-aided detection (CAD) scheme for the detection of masses and microcalcification clusters on a set of images collected from two consecutive ("current" and "prior") mammographic examinations.
A previously developed CAD scheme was used to assess two consecutive screening mammograms from 200 cases in which the current mammogram showed a mass or cluster of microcalcifications that resulted in breast biopsy. The latest prior examinations had been initially interpreted as negative or definitely benign findings (Breast Imaging Reporting and Data System rating, 1 or 2). The study involved images of 400 examinations acquired in 200 patients. Radiologists identified 172 masses and 128 clusters of microcalcifications on the current images. The performance of the CAD scheme was analyzed and compared for the current and latest prior images.
There were significant differences (P < .01) between current and prior images in many feature values. The performance of the CAD scheme was significantly lower for prior than for current images (P < .01). At 0.5 and 0.2 false-positive mass and cluster cues per image, the scheme detected 78 malignant masses (78%) and 63 malignant clusters (80%) on current images. Only 42% of malignant cases were detected on prior images, including 40 masses (40%) and 36 microcalcification clusters (46%).
CAD schemes can detect a substantial fraction of masses and microcalcification clusters depicted on prior images. To improve performance with prior images, the scheme may have to be adaptively reoptimized with increasingly more subtle abnormalities.
作者评估并比较了一种计算机辅助检测（CAD）方案在从连续两次（“当前”和“先前”）乳腺钼靶检查收集的一组图像上检测肿块和微钙化簇的性能。
使用先前开发的CAD方案评估来自200例患者的连续两次筛查乳腺钼靶图像，其中当前乳腺钼靶显示有导致乳腺活检的肿块或微钙化簇。最新的先前检查最初被解读为阴性或肯定为良性结果（乳腺影像报告和数据系统分级，1或2级）。该研究涉及200名患者的400次检查的图像。放射科医生在当前图像上识别出172个肿块和128个微钙化簇。分析并比较了CAD方案在当前图像和最新先前图像上的性能。
当前图像和先前图像在许多特征值上存在显著差异（P <.01）。CAD方案在先前图像上的性能显著低于当前图像（P <.01）。在每张图像0.5和0.2个假阳性肿块和簇提示的情况下，该方案在当前图像上检测到78个恶性肿块（78%）和63个恶性簇（80%）。在先前图像上仅检测到42%的恶性病例，包括40个肿块（40%）和36个微钙化簇（46%）。
CAD方案可以检测出先前图像上描绘的相当一部分肿块和微钙化簇。为了提高先前图像的性能，该方案可能必须针对越来越细微的异常进行自适应重新优化。
