Mohapatra Suvendu Kumar, Mishra Abhisek, Sahoo Tapan Kumar, Nayak Rashmita Binod, Das Prafulla Kumar, Nayak Bhagyalaxmi
Department of Radiodiagnosis, AHPGIC, Mangalabag, Cuttack, Odisha India.
AIIMS Patna, Patna, Bihar India.
Indian J Surg Oncol. 2021 Mar;12(1):182-189. doi: 10.1007/s13193-020-01274-5. Epub 2021 Jan 11.
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.
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。