%0杂志文章%@ 2291- 9694% I JMIR出版物%V 8%卡塔尔世界杯8强波胆分析 N 3% P e16334% T超声计算机辅助诊断在检测小于或大于2cm的乳腺病变中的表现:前瞻性比较研究%A永平，梁%A周，萍%A娟，张永峰，赵%A刘，文刚%A史一凡%+中南大学湘雅第三医院，湖南省长沙市河西岳麓区通子坡路138号，中国，410013,86 13974809881，zhouping1000@hotmail.com %K超声检查%K乳腺肿瘤%K乳腺成像报告和数据系统(BI-RADS) %K乳腺肿瘤诊断%K癌症筛查%K计算机诊断辅助%D 2020 %7 2.3.2020 %9原始论文%J JMIR Med Inform %G英文%X背景:计算机辅助诊断(CAD)是放射科医生在超声检查中对乳腺病变诊断的辅助工具。既往研究表明CAD可以提高放射科医生的诊断能力。然而，根据乳房病变的大小(低于或高于2厘米)，CAD的最佳使用尚未评估。目的:本研究的目的是比较不同放射科医生使用CAD检测小于和大于2厘米大小的乳腺肿瘤的性能。方法:我们前瞻性地招募了261名连续患者(平均年龄43岁;年龄17-70岁)，病灶398个(148个病灶>2 cm，恶性79个，良性69个;≤2cm病灶250个，恶性71个，良性179个)，以乳腺肿块为主要症状。一名有1年超声经验的新手放射科医生和一名有5年超声经验的资深放射科医生分别被分配在没有CAD的情况下阅读超声图像，然后在应用CAD S-Detect的情况下再次阅读超声图像。 We then compared the diagnostic performance of the readers in the two readings (without and combined with CAD) with breast imaging. The McNemar test for paired data was used for statistical analysis. Results: For the novice reader, the area under the receiver operating characteristic curve (AUC) improved from 0.74 (95% CI 0.67-0.82) from the without-CAD mode to 0.88 (95% CI 0.83-0.93; P<.001) at the combined-CAD mode in lesions≤2 cm. For the experienced reader, the AUC improved from 0.84 (95% CI 0.77-0.90) to 0.90 (95% CI 0.86-0.94; P=.002). In lesions>2 cm, the AUC moderately decreased from 0.81 to 0.80 (novice reader) and from 0.90 to 0.82 (experienced reader). The sensitivity of the novice and experienced reader in lesions≤2 cm improved from 61.97% and 73.23% at the without-CAD mode to 90.14% and 97.18% (both P<.001) at the combined-CAD mode, respectively. Conclusions: S-Detect is a feasible diagnostic tool that can improve the sensitivity for both novice and experienced readers, while also improving the negative predictive value and AUC for lesions≤2 cm, demonstrating important application value in the clinical diagnosis of breast cancer. Trial Registration: Chinese Clinical Trial Registry ChiCTR1800019649; http://www.chictr.org.cn/showprojen.aspx?proj=33094 %M 32130149 %R 10.2196/16334 %U https://medinform.www.mybigtv.com/2020/3/e16334 %U https://doi.org/10.2196/16334 %U http://www.ncbi.nlm.nih.gov/pubmed/32130149