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首页> 外文会议>Image Perception, Observer Performance, and Technology Assessment; Progress in Biomedical Optics and Imaging; vol.7 no.32 >Can Radiologists Recognize that a Computer has Identified Cancers that they have Overlooked?
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Can Radiologists Recognize that a Computer has Identified Cancers that they have Overlooked?

机译：放射科医生可以识别计算机已识别出被忽略的癌症吗？

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For computer-aided detection (CADe) to be effective, the computer must be able to identify cancers that a radiologist misses clinically and the radiologist must be able to recognize that a cancer was missed when he or she reviews the computer output. There are several papers indicating CADe can detected clinically missed cancers. The purpose of this study is to examine whether radiologists can use the CADe output effectively to detect more cancers. Three-hundred mammographic cases, which included current and previous exams, were collected: 66 cases containing a missed cancer that was recognized in retrospect and 234 were normal cases. These were analyzed by a commercial CADe system. An observer study with eight MQSA-qualified radiologists was conducted using a sequential reading method. That is, the radiologist viewed the mammograms and scored the case. Then they reviewed the CADe output and rescored the case. The computer had a sensitivity of 55% with an average of 0.59 false detections per image. For all cancers (n=69), the radiologists had a sensitivity of 58% with no aid and 64% with aid (p=0.002). In cases where the computer detected the cancer in all views that the cancer was visible (n = 17), the radiologists had a sensitivity of 74% unaided and increased to 85% aided (p = 0.02). In cases where the computer missed the cancer in one view (n=21), the radiologists had a sensitivity of 65% unaided and 72% aided (p < 0.001). The radiologists, on average, ignored 20% of all correct computer prompts.
机译：为了使计算机辅助检测（CADe）生效，计算机必须能够识别放射线医师临床上错过的癌症，并且放射线医师在检查计算机输出时必须能够识别出癌症遗漏。有几篇论文表明，CADe可以检测出临床上错过的癌症。这项研究的目的是检查放射科医生是否可以有效地使用CADe输出来检测更多的癌症。收集了包括当前和以前的检查在内的300例乳房X线摄影病例：66例经回顾后被确认遗漏了癌症的病例，234例为正常病例。这些通过商业CADe系统进行了分析。使用顺序读取方法与八名获得MQSA资格的放射科医生进行了观察员研究。也就是说，放射线医师查看了乳房X光照片并对其进行评分。然后他们审查了CADe的输出并对该案进行了评分。该计算机的敏感度为55％，每个图像平均有0.59次错误检测。对于所有癌症（n = 69），放射科医生的敏感性为：无助时为58％，有助时为64％（p = 0.002）。如果计算机在所有可见癌症的视图中都检测到了癌症（n = 17），则放射科医生的灵敏度为74％不受帮助，并提高到了85％的帮助（p = 0.02）。如果计算机在一个视图中漏诊了癌症（n = 21），则放射科医生的敏感性为：无辅助的为65％，有辅助的为72％（p <0.001）。放射科医生平均忽略了所有正确计算机提示的20％。

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