Graser A, Kolligs F T, Mang T, Schaefer C, Geisbüsch S, Reiser M F, Becker C R
Department of Clinical Radiology, University of Munich, Grosshadern Campus, Marchioninistr. 15, 81377, Munich, Germany.
Eur Radiol. 2007 Oct;17(10):2608-15. doi: 10.1007/s00330-007-0579-0. Epub 2007 Feb 16.
Computer-aided detection (CAD) algorithms help to detect colonic polyps at CT colonography (CTC). The purpose of this study was to evaluate the accuracy of CAD versus an expert reader in CTC. One hundred forty individuals (67 men, 73 women; mean age, 59 years) underwent screening 64-MDCT colonography after full cathartic bowel cleansing without fecal tagging. One expert reader interpreted supine and prone scans using a 3D workstation with integrated CAD used as "second reader." The system's sensitivity for the detection of polyps, the number of false-positive findings, and its running time were evaluated. Polyps were classified as small (< or =5 mm), medium (6-9 mm), and large (> or =10 mm). A total of 118 polyps (small, 85; medium, 19; large, 14) were found in 56 patients. CAD detected 72 polyps (61%) with an average of 2.2 false-positives. Sensitivity was 51% (43/85) for small, 90% (17/19) for medium, and 86% (12/14) for large polyps. For all polyps, per-patient sensitivity was 89% (50/56) for the radiologist and 73% (41/56) for CAD. For large and medium polyps, per-patient sensitivity was 100% for the radiologist, and 96% for CAD. In conclusion, CAD shows high sensitivity in the detection of clinically significant polyps with acceptable false-positive rates.
计算机辅助检测（CAD）算法有助于在CT结肠成像（CTC）中检测结肠息肉。本研究的目的是评估CAD与CTC中专家阅片者的准确性。140名个体（67名男性，73名女性；平均年龄59岁）在进行充分的肠道清洁且未使用粪便标记物后接受了64排MDCT结肠成像筛查。一名专家阅片者使用配备集成CAD的3D工作站解读仰卧位和俯卧位扫描图像，CAD用作“第二阅片者”。评估了该系统检测息肉的敏感性、假阳性发现的数量及其运行时间。息肉被分类为小（≤5毫米）、中（6 - 9毫米）和大（≥10毫米）。在56名患者中共发现118个息肉（小息肉85个、中息肉19个、大息肉14个）。CAD检测到72个息肉（61%），平均有2.2例假阳性。小息肉的敏感性为51%（43/85），中息肉为90%（17/19），大息肉为86%（12/14）。对于所有息肉，放射科医生的患者敏感性为89%（50/56），CAD为73%（41/56）。对于大息肉和中息肉，放射科医生的患者敏感性为100%，CAD为96%。总之，CAD在检测具有可接受假阳性率的临床显著息肉方面显示出高敏感性。
