Department of Radiology, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.
Department of Radiology, School of Medicine, University of North Carolina, CB #7510, Physicians' Office Building, Rm #118, 170 Manning Drive, Chapel Hill, NC 27599.
Acad Radiol. 2017 Nov;24(11):1395-1401. doi: 10.1016/j.acra.2017.06.003. Epub 2017 Jul 17.
Dedicated breast computed tomography (DBCT) is an emerging and promising modality for breast lesions. The objective of this study was to evaluate the potential use of applying the BI-RADS Mammography Atlas 5th Edition for reporting and assessing breast lesions on DBCT. Currently, no atlas exists for DBCT.
Four radiologists trained in breast imaging were recruited in this institutional review board-approved, Health Insurance Portability and Accountability Act-compliant study. The enrolled radiologists, who were blinded to mammographic and histopathologic findings, individually reviewed 30 randomized DBCT cases that contained marked lesions. Thirty-four lesions were included in this study: 24 (70.6%) masses, 7 (20.6%) calcifications, and 3 (8.8%) architectural distortions. Eight (23.5%) lesions were malignant and 26 (76.5%) were benign. The reader was asked to specify according to the BI-RADS Mammography Atlas for each marked DBCT lesion: primary findings, features, breast density, and final assessment. We calculated readers' diagnostic performances for differentiating between benign and malignant lesions and interobserver variability for reporting and assessing lesions using a generalized estimating equation and the Fleiss kappa (κ) statistic.
The estimated overall sensitivity of the readers was 0.969, and the specificity was 0.529. There were no significant differences in the sensitivity and the specificity between lesion types. For reporting the presence of a primary finding, the overall substantial agreement (κ = 0.70) was seen. In assigning the breast density and the final assessment, the overall agreement was moderate (κ = 0.53) and fair (κ = 0.30).
The use of the BI-RADS Mammography Atlas 5th Edition for DBCT showed high performance and good agreement among readers.
专门用于乳腺的计算机断层扫描(DBCT)是一种新兴的、有前途的乳腺病变检测手段。本研究的目的是评估在 DBCT 上应用 BI-RADS 乳腺 X 线摄影图谱第 5 版进行乳腺病变报告和评估的潜在用途。目前,DBCT 没有专用的图谱。
本研究经机构审查委员会批准,并符合《健康保险流通与责任法案》,共招募了 4 名接受过乳腺影像学培训的放射科医师。这些放射科医师在对乳腺 X 线摄影和组织病理学检查结果不知情的情况下,对 30 例随机 DBCT 病例中标记的病变进行单独阅片。本研究共纳入 34 个病变:24 个(70.6%)肿块,7 个(20.6%)钙化,3 个(8.8%)结构扭曲。其中 8 个(23.5%)病变为恶性,26 个(76.5%)为良性。要求读者根据 BI-RADS 乳腺 X 线摄影图谱对每个标记的 DBCT 病变进行描述:主要发现、特征、乳腺密度和最终评估。我们使用广义估计方程和 Fleiss κ(κ)统计量计算了读者对良恶性病变的鉴别诊断性能以及报告和评估病变的观察者间变异性。
读者的总体估计敏感性为 0.969,特异性为 0.529。不同病变类型之间的敏感性和特异性无显著差异。在报告主要发现的存在时,总体显示出显著的一致性(κ=0.70)。在分配乳腺密度和最终评估时,总体一致性为中度(κ=0.53)和轻度(κ=0.30)。
BI-RADS 乳腺 X 线摄影图谱第 5 版在 DBCT 上的应用具有较高的性能和读者间的良好一致性。