Yang Sang Kyu, Moon Woo Kyung, Cho Nariya, Park Jeong Seon, Cha Joo Hee, Kim Sun Mi, Kim Seung Ja, Im Jung-Gi
Department of Radiology and Clinical Research Institute, Seoul National University Hospital and the Institute of Radiation Medicine, Seoul National University Medical Research Center, 28 Yongon-dong, Chongno-gu, Seoul 100-744, Korea.
Radiology. 2007 Jul;244(1):104-11. doi: 10.1148/radiol.2441060756. Epub 2007 May 16.
To retrospectively evaluate the sensitivity of the performance of a computer-aided detection (CAD) system applied to full-field digital mammograms for detection of breast cancers in a screening group, with histologic findings as the reference standard.
This study had institutional review board approval, and patient informed consent was waived. A commercially available CAD system was applied to the digital mammograms of 103 women (mean age, 51 years; range, 35-69 years) with 103 breast cancers detected with screening. Sensitivity values of the CAD system according to mammographic appearance, breast composition, and histologic findings were analyzed. Normal mammograms from 100 women (mean age, 54 years; age range, 35-75 years) with no mammographic and clinical abnormality during 2-year follow-up were used to determine false-positive CAD system marks. Differences between the cancer detection rates in fatty and dense breasts for the CAD system were compared by using the chi(2) test.
The CAD system correctly marked 99 (96.1%) of 103 breast cancers. The CAD system marked all 44 breast cancers that manifested as microcalcifications only, all 23 breast cancers that manifested as a mass with microcalcifications, and 32 (89%) of 36 lesions that appeared as a mass only. The sensitivity of the CAD system in the fatty breast group was 95% (59 of 62) and in the dense breast group was 98% (40 of 41) (P = .537). The CAD system correctly marked all 31 lesions of ductal carcinoma in situ (DCIS), all 22 lesions of invasive ductal carcinoma with DCIS, the single invasive lobular carcinoma lesion, and 45 (92%) of 49 lesions of invasive ductal carcinoma. On normal mammograms, the mean number of false-positive marks per patient was 1.80 (range, 0-10 marks; median, 1 mark).
The CAD system can correctly mark most (96.1%) asymptomatic breast cancers detected with digital mammographic screening, with acceptable false-positive marks (1.80 per patient).
以组织学检查结果作为参考标准,回顾性评估应用于全视野数字化乳腺钼靶片的计算机辅助检测(CAD)系统在筛查人群中检测乳腺癌的性能敏感性。
本研究经机构审查委员会批准,且患者知情同意书被豁免。将一种商用CAD系统应用于103名女性(平均年龄51岁;范围35 - 69岁)的数字化乳腺钼靶片,这些女性在筛查中检测出患有103例乳腺癌。分析了CAD系统根据乳腺钼靶表现、乳腺组织构成和组织学检查结果得出的敏感性值。使用100名女性(平均年龄54岁;年龄范围35 - 75岁)在2年随访期间乳腺钼靶和临床均无异常的正常乳腺钼靶片来确定CAD系统的假阳性标记。通过卡方检验比较CAD系统在脂肪型乳腺和致密型乳腺中癌症检出率的差异。
CAD系统正确标记了103例乳腺癌中的99例(96.1%)。CAD系统标记了所有仅表现为微钙化的44例乳腺癌、所有表现为肿块伴微钙化的23例乳腺癌以及仅表现为肿块的36个病灶中的32例(89%)。CAD系统在脂肪型乳腺组中的敏感性为95%(62例中的59例),在致密型乳腺组中的敏感性为98%(41例中的40例)(P = 0.537)。CAD系统正确标记了所有31例导管原位癌(DCIS)病灶、所有22例伴有DCIS的浸润性导管癌病灶、单一例浸润性小叶癌病灶以及49例浸润性导管癌病灶中的45例(92%)。在正常乳腺钼靶片上,每位患者假阳性标记的平均数为1.80(范围0 - 10个标记;中位数1个标记)。
CAD系统能够正确标记通过数字化乳腺钼靶筛查检测出的大多数(96.1%)无症状乳腺癌,且假阳性标记可接受(每位患者1.80个)。