摘要目的评估乳腺数字化体层融合技术(DBT)中乳腺体积密度(VBD)全自动化定量方法,并比较全数字化乳腺钼靶成像(FFDM)和MR成像的结果。方法本研究经伦理委员会批准并符合HIPAA要求,回顾性收集了2011年10月—2012年9月进行乳腺癌筛查的68例女性的双侧乳腺DBT影像、FFDM影像以及矢状面乳腺MR影像。DBT成像中VBD作为一种全自动化的计算机算法被开发用于定量评 Abstract Objective To evaluate the method of automatic quantitative mammary gland volume density (VBD) in breast digitalized body layer fusion (DBT) and to compare the results of fully digitized mammography (FFDM) and MR imaging. Methods This study was approved by Ethics Committee and conformed to HIPAA requirements and retrospectively collected bilateral breast DBT images, FFDM images and sagittal breast MR images of 68 women who screened for breast cancer from October 2011 to September 2012 . In DBT imaging VBD was developed as a fully automated computer algorithm for quantitative evaluation