该研究旨在探讨放射科医生在读取无先前图片的筛查乳腺摄片时的诊断效能，并在有来自同一和不同供应商的先前图片存在的情况下进行研究。回顾性分析了9个测试组，共计540个筛查乳腺摄片（361个正常和179个癌症），其中245个案例有来自与当前图像相同供应商的早期图像，129个来自不同供应商，166个没有早期图像。针对三组病例（没有早期图像（NP），来自同一供应商的早期图像（SP）和来自不同供应商的早期图像（DP）），计算了放射科医生的真阳性（敏感性）、真阴性（特异性）和ROC曲线下面积（AUC）值。使用逻辑回归来估计不同乳腺密度和病变特征级别的病例组中真阳性、真阴性和真癌症定位的比值比（OR）。放射科医生在NP和DP病例中获得的敏感性比SP病例高12.8％和10.3％（0.803和0.785 vs. 0.712；p < 0.0001）。NP和DP病例的特异性比SP病例低4.8％和2.0％（0.749和0.771 vs. 0.787）。在不同乳腺密度水平下，NP和DP的AUC值明显高于SP病例（0.814和0.820 vs. 0.782；p < 0.0001）。相对于SP，NP的真阳性比率为1.6（p < 0.0001），DP相对于SP的真阳性比率为1.5（p < 0.0001）。放射科医生在DP病例中更容易检测到建筑物变形（OR=3.2；p < 0.0001），而对于异常钙化病变的OR为2.85（p < 0.0001）。没有前期乳腺摄片或有来自不同供应商的早期图像的病例更有可能有助于放射科医生发现癌症，而来自同一供应商的早期图像对放射科医生评估正常病例更有用。

This study aims to investigate the diagnostic efficacy of radiologists when reading screening mammograms in the absence of previous images, and with the presence of prior images from the same and different vendors.612 radiologists' readings across 9 test sets, consisting of 540 screening mammograms (361-normal and 179-cancer) with 245 cases having prior images obtained from same vendor as current images, 129 from a different vendor and 166 cases having no prior images, were retrospectively analysed. True positive (sensitivity), true negative (specificity) and area under ROC curve (AUC) values of radiologists were calculated for three groups of cases (without prior images (NP), with prior images from same vendor (SP), and with prior images from different vendor (DP)). Logistic regression was used to estimate the odds ratio (OR) of true positive, true negative and true cancer localization among case groups with different levels of breast density and lesion characteristics.Radiologists obtained 12.8% and 10.3% higher sensitivity in NP and DP than SP (0.803-and-0.785 vs. 0.712; p < 0.0001). Specificity in NP and DP cases were 4.8% and 2.0% lower than SP cases (0.749 and 0.771 vs. 0.787). The AUC values for NP and DP were significantly higher than SP cases across different levels of breast density (0.814-and-0.820 vs. 0.782; p < 0.0001). The odds ratio (OR) of true positive for NP relative to SP was 1.6 (p < 0.0001) and DP relative to SP was 1.5 (p < 0.0001). Radiologists were more like to detect architectural distortion in DP than SP cases (OR = 3.2; p < 0.0001), whilst the OR for abnormal calcifications was 2.85 (p < 0.0001).Cases without previous mammograms or with prior mammograms obtained from different vendors were more likely to benefit radiologists in cancer detection, whilst prior mammograms undertaken from the same vendor were more useful for radiologists in evaluating normal cases.