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[乳腺良恶性病变的鉴别诊断,特别关注乳腺钼靶摄影中的BI-RADS((R))分类系统]

[Differential diagnosis of benign and malignant mammary lesions with special regard to the BI-RADS((R)) classification system in mammography].

作者信息

Boehm T, Garzoli E, Marincek B

机构信息

Departement Medizinische Radiologie, Institut für Diagnostische Radiologie, Universitätsspital Zürich, Schweiz, Switzerland.

出版信息

Gynakol Geburtshilfliche Rundsch. 2002;42(4):191-200. doi: 10.1159/000065159.

Abstract

Mammography is the imaging method of choice for the diagnostic workup of breast tumors in screening programs as well as in symptomatic patients. Quality assurance is one of the main prerequisites for a successful performance in both fields. Quality assurance on the technical and film processing level can be easily achieved compared to reporting and outcome monitoring on the level of the physician performing mammography. This is especially due to the lack of standards of the written reports. This article reviews the Breast Imaging Reporting and Data System (BI-RADS((R))) developed and commercialized by the American College of Radiology, contains several examples of lesion classification and discusses the significance of the BI-RADS((R)) approach.

摘要

乳腺X线摄影是筛查项目以及有症状患者乳腺肿瘤诊断检查的首选成像方法。质量保证是这两个领域取得成功的主要先决条件之一。与乳腺X线摄影医生层面的报告和结果监测相比,在技术和胶片处理层面实现质量保证相对容易。这尤其归因于书面报告缺乏标准。本文回顾了美国放射学会开发并商业化的乳腺影像报告和数据系统(BI-RADS((R))),包含几个病变分类示例,并讨论了BI-RADS((R))方法的意义。

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