乳腺癌成像中的断层合成技术：它在术前评估和监测中如何应用？

Tomosynthesis in Breast Cancer Imaging: How Does It Fit into Preoperative Evaluation and Surveillance?

作者信息

Eghtedari Mohammad, Tsai Catherine, Robles Julie, Blair Sarah L, Ojeda-Fournier Haydee

机构信息

Department of Radiology, Breast Imaging Section, UC San Diego Health, Moores Cancer Center, 3855 Health Sciences Drive, #0846, La Jolla, CA 92093-0846, USA.

Department of Surgery, University of California San Diego, 9500 Gilman drive, La Jolla, CA 92093-0846, USA.

出版信息

Surg Oncol Clin N Am. 2018 Jan;27(1):33-49. doi: 10.1016/j.soc.2017.07.004.

DOI:10.1016/j.soc.2017.07.004

PMID:29132564

Abstract

An important limitation of conventional two-dimensional mammography is the overlap of dense breast tissue obscuring masses. Digital breast tomosynthesis (DBT) has emerged as a mammographic technology that overcomes this limitation and is considered an overall better mammogram. DBT has been shown to detect significantly more breast cancer than conventional two-dimensional mammography, and to decrease the number of callbacks for diagnostic evaluation from screening mammography. Usually the callback evaluation is deemed to be overlap of tissue requiring no further management. DBT is used in the screening and diagnostic setting, and for guidance of wire localization or core biopsy, performing more accurately in the dense breast.

摘要

传统二维乳腺摄影的一个重要局限性是致密乳腺组织的重叠会掩盖肿块。数字乳腺断层合成（DBT）作为一种乳腺摄影技术应运而生，它克服了这一局限性，被认为是一种总体上更好的乳腺造影检查。与传统二维乳腺摄影相比，DBT已被证明能检测出更多的乳腺癌，并减少筛查乳腺摄影后需要进行诊断评估的召回次数。通常，召回评估被认为是组织重叠，无需进一步处理。DBT用于筛查和诊断，以及导丝定位或粗针活检的引导，在致密乳腺中表现更准确。