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乳腺影像报告和数据系统(BI-RADS)4类病变的阳性预测值及其乳腺X线摄影形态学特征

The Positive Predictive Values of the Breast Imaging Reporting and Data System (BI-RADS) 4 Lesions and its Mammographic Morphological Features.

作者信息

Mohapatra Suvendu Kumar, Mishra Abhisek, Sahoo Tapan Kumar, Nayak Rashmita Binod, Das Prafulla Kumar, Nayak Bhagyalaxmi

机构信息

Department of Radiodiagnosis, AHPGIC, Mangalabag, Cuttack, Odisha India.

AIIMS Patna, Patna, Bihar India.

出版信息

Indian J Surg Oncol. 2021 Mar;12(1):182-189. doi: 10.1007/s13193-020-01274-5. Epub 2021 Jan 11.

Abstract

The Breast Imaging Reporting and Data System (BI-RADS) is a comprehensive guideline to systematize breast imaging reporting, and as per its recommendations, any lesion with likelihoods of malignancy greater than 2% is deemed as suspicious and tissue diagnosis is recommended. The aim of the study is to determine the positive predictive value (PPV) of BI-RADS categories 4a, 4b, and 4c for malignancy and association of mammographic morphological features of BI-RADS 4 subgroups with malignant outcomes. We retrospectively reviewed all the patients undergoing mammography with BI-RADS score of 4 followed by biopsy from May 2019 to April 2020. The predictive values of BI-RADS 4 subcategories and morphological features with malignancy are performed taking histopathology report as the gold standard. The PPV of BI-RADS subcategories 4a, 4b, and 4c for malignancies were 34, 89, and 97%, respectively. BI-RADS 4c patients tend to be older (50.2 ± 12.2 vs. 44.6 ± 10.3 years) with larger mass (44 ± 16 vs. 32.9 ± 16.8 mm) at presentation than 4a. Postmenopausal state ( = 0.03) and older age ( = 0.019) were significantly associated with malignancy. There is no meaningful difference observed in the predictability of BI-RADS category 4c lesions among different breast density patterns. The overall higher PPV for BI-RADS 4a and 4b reflects subjectivity in subcategory assignments of BI-RADS 4. In patients, less than 40 years with the BI-RADS 4a category on mammograms may undergo supplementary imaging with MRI which may downscale the lesion classification in turn reducing unnecessary biopsy and surgery.

摘要

乳腺影像报告和数据系统(BI-RADS)是使乳腺影像报告系统化的综合指南,根据其建议,任何恶性可能性大于2%的病变都被视为可疑病变,建议进行组织诊断。本研究的目的是确定BI-RADS 4a、4b和4c类别的恶性病变阳性预测值(PPV),以及BI-RADS 4亚组的乳腺钼靶形态学特征与恶性结果的相关性。我们回顾性分析了2019年5月至2020年4月期间所有BI-RADS评分为4分且随后接受活检的乳腺钼靶检查患者。以组织病理学报告为金标准,计算BI-RADS 4亚类和形态学特征对恶性病变的预测值。BI-RADS 4a、4b和4c亚类对恶性病变的PPV分别为34%、89%和97%。与4a类患者相比,BI-RADS 4c类患者就诊时年龄往往更大(50.2±12.2岁对44.6±10.3岁),肿块更大(44±16mm对32.9±16.8mm)。绝经后状态(P = 0.03)和年龄较大(P = 0.019)与恶性病变显著相关。在不同乳腺密度模式下,BI-RADS 4c类病变的预测性未观察到有意义的差异。BI-RADS 4a和4b总体较高的PPV反映了BI-RADS 4亚类分类中的主观性。对于乳腺钼靶检查为BI-RADS 4a类且年龄小于40岁的患者,可能需要进行MRI补充成像,这可能会降低病变分类,进而减少不必要的活检和手术。

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