Department of Radiology, Mayo Clinic, 200 First street SW, Rochester, MN 55905.
Department of Radiology, Mayo Clinic, 200 First street SW, Rochester, MN 55905.
Acad Radiol. 2023 Jan;30(1):3-13. doi: 10.1016/j.acra.2022.03.026. Epub 2022 Apr 28.
The purpose of this study was to test for superiority of wide-angle digital breast tomosynthesis plus synthetic mammography (Insight 2D) in comparison to full-field digital mammography (FFDM).
In this study, twenty readers interpreted 350 screening and diagnostic cases of wide-angle digital breast tomosynthesis (DBT) plus Insight 2D and FFDM in two separate reading sessions separated by at least a 6-week washout period. Breast-level estimates of the area under the curve and sensitivity along with subject-level recall rate were measured and compared between wide-angle DBT plus Insight 2D and FFDM. The same measures were also assessed for dense breasts. A hierarchical analysis plan was used to control the study's type I error rate at 0.05.
The mean breast-level area under the curve for distinguishing breasts with cancer from non-cancer breasts was 0.893 with DBT plus Insight 2D versus 0.837 with FFDM, showing superiority of DBT plus Insight 2D (p < 0.001). Breast-level sensitivity was significantly superior for DBT plus Insight 2D in comparison to FFDM (0.852 vs. 0.805, p = 0.043). Subject-level recall rate for DBT plus Insight 2D was significantly lower in comparison to FFDM (0.344 vs. 0.473, p < 0.001). For dense breasts, the readers' accuracy with DBT plus Insight 2D was superior to their accuracy with FFDM (0.875 vs. 0.830, p = 0.026), and their recall rate was significantly lower for DBT plus Insight 2D in comparison to FFDM (0.338 vs. 0.441, p = 0.003).
Reader performance with wide-angle DBT plus Insight 2D is superior to that with FFDM, showing significantly higher breast-level accuracy and sensitivity and significantly lower recall rates.
本研究旨在检验广角数字乳腺断层合成摄影(Insight 2D)相较于全数字化乳腺摄影(FFDM)是否具有优势。
本研究中,20 位读者分别在两次独立的阅读过程中对广角数字乳腺断层合成摄影(DBT)+Insight 2D 和 FFDM 共 350 例筛查和诊断病例进行解读,两次阅读之间至少间隔 6 周的洗脱期。对每位患者的乳腺水平曲线下面积和敏感度,以及受试者水平的召回率进行评估,并与广角 DBT+Insight 2D 和 FFDM 进行比较。同样的指标也用于致密型乳腺。采用分层分析方案,将研究的 I 类错误率控制在 0.05。
鉴别乳腺癌和非癌乳腺的平均乳腺水平曲线下面积为 DBT+Insight 2D 组 0.893,FFDM 组 0.837,提示 DBT+Insight 2D 组具有优势(p<0.001)。DBT+Insight 2D 组的乳腺水平敏感度明显优于 FFDM 组(0.852 比 0.805,p=0.043)。DBT+Insight 2D 组的受试者水平召回率明显低于 FFDM 组(0.344 比 0.473,p<0.001)。对于致密型乳腺,DBT+Insight 2D 组的读者准确性优于 FFDM 组(0.875 比 0.830,p=0.026),且 DBT+Insight 2D 组的召回率明显低于 FFDM 组(0.338 比 0.441,p=0.003)。
广角 DBT+Insight 2D 的读者表现优于 FFDM,其乳腺水平的准确性和敏感度更高,召回率更低。