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数字乳腺断层合成技术:技术、证据和临床实践的更新。

Digital Breast Tomosynthesis: Update on Technology, Evidence, and Clinical Practice.

机构信息

From the Department of Radiology, New York University Langone Medical Center, 160 E 34th St, New York, NY 10016.

出版信息

Radiographics. 2021 Mar-Apr;41(2):321-337. doi: 10.1148/rg.2021200101. Epub 2021 Feb 5.

Abstract

Digital breast tomosynthesis (DBT) has been widely adopted in breast imaging in both screening and diagnostic settings. The benefits of DBT are well established. Compared with two-dimensional digital mammography (DM), DBT preferentially increases detection of invasive cancers without increased detection of in-situ cancers, maximizing identification of biologically significant disease, while mitigating overdiagnosis. The higher sensitivity of DBT for architectural distortion allows increased diagnosis of invasive cancers overall and particularly improves the visibility of invasive lobular cancers. Implementation of DBT has decreased the number of recalls for false-positive findings at screening, contributing to improved specificity at diagnostic evaluation. Integration of DBT in diagnostic examinations has also resulted in an increased percentage of biopsies with positive results, improving diagnostic confidence. Although individual DBT examinations have a longer interpretation time compared with that for DM, DBT has streamlined the diagnostic workflow and minimized the need for short-term follow-up examinations, redistributing much-needed time resources to screening. Yet DBT has limitations. Although improvements in cancer detection and recall rates are seen for patients in a large spectrum of age groups and breast density categories, these benefits are minimal in women with extremely dense breast tissue, and the extent of these benefits may vary by practice environment and by geographic location. Although DBT allows detection of more invasive cancers than does DM, its incremental yield is lower than that of US and MRI. Current understanding of the biologic profile of DBT-detected cancers is limited. Whether DBT improves breast cancer-specific mortality remains a key question that requires further investigation. RSNA, 2021.

摘要

数字乳腺断层合成技术(DBT)已在筛查和诊断环境中广泛应用于乳腺成像。DBT 的益处已得到充分证实。与二维数字乳腺 X 线摄影术(DM)相比,DBT 优先增加浸润性癌的检出率,而不增加原位癌的检出率,最大限度地识别具有生物学意义的疾病,同时减少过度诊断。DBT 对结构扭曲的更高敏感性允许总体上增加浸润性癌的诊断,并特别提高浸润性小叶癌的可见性。DBT 的实施减少了筛查中假阳性发现的召回数量,从而提高了诊断评估的特异性。DBT 在诊断检查中的整合也导致了更多活检阳性结果,从而提高了诊断信心。尽管与 DM 相比,个别 DBT 检查的解释时间更长,但 DBT 简化了诊断工作流程,最大限度地减少了短期随访检查的需要,将急需的时间资源重新分配到筛查中。然而,DBT 有其局限性。尽管在广泛的年龄组和乳腺密度类别患者中看到了癌症检出率和召回率的提高,但在乳腺组织密度极高的女性中,这些益处微不足道,并且这些益处的程度可能因实践环境和地理位置而异。尽管 DBT 比 DM 能检测到更多的浸润性癌症,但它的增量收益低于 US 和 MRI。目前对 DBT 检测到的癌症的生物学特征的了解有限。DBT 是否能提高乳腺癌特异性死亡率仍然是一个关键问题,需要进一步研究。RSNA,2021。

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