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首页> 外文期刊>Radiology >Influence of breast lesion size and histologic findings on tumor detection rate of a computer-aided detection system.
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Influence of breast lesion size and histologic findings on tumor detection rate of a computer-aided detection system.

机译:乳腺病变大小和组织学发现对计算机辅助检测系统肿瘤检测率的影响。

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PURPOSE: To evaluate associations between histopathologic findings, tumor size, and detection rate of malignant mammographic findings by using a computer-aided detection (CAD) system. MATERIALS AND METHODS: The study included 208 mammographically detected histologically proven malignant breast lesions in 208 women. Findings were 150 masses and 114 microcalcifications; 56 lesions showed both findings; 94 lesions, mass only; and 58 lesions, microcalcification only. CAD was used to evaluate mammograms in two views retrospectively. Also, corresponding histopathologic findings and lesion size were evaluated. CAD marks were considered positive if, on at least one view, they correctly identified the corresponding mammographic lesion location. RESULTS: Ninety percent (135 of 150) of masses and 93.0% (106 of 114) of microcalcifications were marked correctly by the CAD system. Overall tumor detection rate was 93.8% (195 of 208). Size-related detection rate for masses was 83.3% (25 of 30) for lesions up to 10 mm,100% (45 of 45) for lesions 11-20 mm, 100% (46 of 46) for lesions 21-30 mm, 83.3% (10 of 12) for lesions 31-40 mm, and 52.9% (nine of 17) for lesions larger than 40 mm. Size-related tumor detection rate for microcalcifications was 92.5% (37 of 40) for microcalcifications up to 10 mm, 93.1% (27 of 29) for lesions 11-20 mm, 100% (20 of 20) for lesions 21-30 mm, 87.5% (seven of eight) for lesions 31-40 mm, and 88.2% (15 of 17) for larger microcalcifications. Detection rates for mammographically visible masses (invasive ductal carcinoma, invasive lobular carcinoma, invasive tubular carcinoma, noninvasive cancers, mucinoid cancers, and others) were 92.3% (84 of 91), 89.3% (25 of 28), 75.0% (six of eight), 100% (15 of 15), 33.3% (one of three), and 80.0% (four of five), respectively. Detectability rates for mammographically visible areas suspicious for microcalcifications (invasive ductal carcinoma, invasive lobular carcinoma, invasive tubular carcinoma, and noninvasive cancers) were 92.3% (60 of 65), 100% (eight of eight), 100% (five of five), and 91.9% (31 of 34), respectively. Highest overall detection rates were observed for invasive ductal carcinomas (96.6% [112 of 116]) and noninvasive cancers (92.9% [39 of 42]). CONCLUSION: Highest detection rates were observed for 10-30-mm tumor masses and for invasive ductal carcinomas and noninvasive cancers.
机译:目的:通过计算机辅助检测(CAD)系统评估组织病理学发现,肿瘤大小和恶性钼靶检查发现率之间的关联。材料与方法:该研究包括208例经乳房X线摄影术检测到的经组织学证实为恶性乳房病变的208名女性。发现150块肿块和114个微钙化;两者均发现56个病灶。 94个病灶,仅肿块; 58个病灶,仅微钙化。 CAD用于回顾性评估两个视图中的乳房X线照片。此外,评估了相应的组织病理学发现和病变大小。如果从至少一种观点来看,CAD标记可以正确识别出相应的乳腺钼靶病变位置,则认为它们是阳性的。结果:CAD系统正确标记了90%的质量(150个中的135个)和93.0%(114个中的106个)的微钙化。总体肿瘤检出率为93.8%(208个中的195个)。对于大小达10mm的病变,肿块的大小相关检测率为83.3%(25/30),对于11-20 mm的病变为100%(45/45),对于21-30 mm的病变为100%(46/46), 31-40 mm的病变占83.3%(12分之10),大于40 mm的病变占52.9%(17分之9)。对于尺寸最大为10 mm的微钙化,与尺寸相关的肿瘤微检的肿瘤检出率为92.5%(37/40),对于11-20 mm的病变为93.1%(29 of 27),对于21-30 mm的病变为100%(20 of 20) ,对于31-40毫米的病变为87.5%(八分之七),对于较大的微钙化为88.2%(八分之15)。乳房X光检查可见肿块(浸润性导管癌,浸润性小叶癌,浸润性小管癌,非浸润性癌,粘液样癌等)的检出率分别为92.3%(91/84),89.3%(28/25),75.0%(6/6) 8个),100%(15个中的15个),33.3%(三个中的一个)和80.0%(五个中的四个)。可疑微钙化的乳房X光检查可见区域(浸润性导管癌,浸润性小叶癌,浸润性小管癌和非浸润性癌)的可检出率分别为92.3%(65分之60),100%(八分之八),100%(五分之五) ,分别为91.9%(34之31)。浸润性导管癌(96.6%[116/116])和非浸润性癌(92.9%[39/42])的总体检出率最高。结论:对于10-30mm的肿瘤块以及浸润性导管癌和非浸润性癌,检出率最高。

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