Downgrade BI-RADS 4A Patients Using Nomogram Based on Breast Magnetic Resonance Imaging, Ultrasound, and Mammography
Yamie Xie, Ying Zhu, Weimin Chai, Shaoyun Zong, Shangyan Xu, Weiwei Zhan, Xiaoxiao Zhang
Abstract
OBJECTIVES: To downgrade BI-RADS 4A patients by constructing a nomogram using R software. MATERIALS AND METHODS: A total of 1,717 patients were retrospectively analyzed who underwent preoperative ultrasound, mammography, and magnetic resonance examinations in our hospital from August 2019 to September 2020, and a total of 458 patients of category BI-RADS 4A (mean age, 47 years; range 18-84 years; all women) were included. Multivariable logistic regression was used to screen out the independent influencing parameters that affect the benign and malignant tumors, and the nomogram was constructed by R language to downgrade BI-RADS 4A patients to eligible category. RESULTS: Of 458 BI-RADS 4A patients, 273 (59.6%) were degraded to category 3. The malignancy rate of these 273 lesions is 1.5% (4/273) (<2%), and the sensitivity reduced to 99.6%, the specificity increased from 4.41% to 45.3%, and the accuracy increased from 63.4% to 78.8%. CONCLUSION: By constructing a nomogram, some patients can be downgraded to avoid unnecessary biopsy.