AUCs (95%CIs) from ROC curves for classifying tumor presence status based on tumor presence confidence scores given by group and reader for all tumors (n = 107).

* Comparisons between interpreters: ACPPD-Gd, p = 0.04; gadobutrol, p = 0.003; non-contrast, p = 0.0003.AUCs (95%CIs) from ROC curves for classifying tumor presence status based on tumor presence confidence scores given by group and reader for all tumors (n = 107).* 影像判读者间的对比分析：ACPPD-Gd组，P=0.04；钆布醇（gadobutrol）组，P=0.003；无对比增强组，P=0.0003。针对全部107例肿瘤，基于各组与各阅片者给出的肿瘤存在置信度评分，对肿瘤存在状态进行分类时，受试者工作特征（ROC）曲线对应的曲线下面积（AUC）及95%置信区间（95%CIs）。