Positive Predictive Rate of Breast Imaging-Reporting and Data System (BI-RADS) Category 4 Lesions For Breast Cancer Taking Histopathology as Gold Standard
Year: 2025
Type: article
Study design: Observational Study
Abstract: Objective: To determine positive predictive rate of Breast imaging-reporting and data system (BI-RADS) category 4 and its sub-categories for breast cancer taking histopathology as gold standard. Study Design: Cross sectional validation study. Place and Duration of Study: Department of Radiology, Pakistan Institute of Medical Sciences, Islamabad Pakistan, from Sep to Nov 2020. Methodology: 60 female patients who were diagnosed as Breast imaging-reporting and data system (BI-RADS) category 4 lesions on mammography were included in the study and afterwards followed for biopsy report. Data was collected and analyzed using SPSSv25. Results: Patient’s mean age was 50.6±9.7yrs. Among sixty patients with BIRADS 4, 13(21.7%) had BIRADS 4A, 22(36.7%) had BIRADS 4B and 25(41.7%) had 4C. Positive predictive value for BIRADS 4 was 68.33%, 4A was 15.3%, 4B was 72.7% and for 4C was 92%. Sensitivity & Specificity of BIRADS 4A being benign and BIRADS 4B, & 4C being malignant is 91.49% and 69.23% respectively. Overall, diagnostic accuracy of BIRADS 4B & 4C classification was found to be 83.33%. Conclusion: Sub-categorization of Breast imaging-reporting and data system (BI-RADS) category 4 is not routinely practiced, however results of current study conclude that it helps to stratify the associated risk of malignancy and update the level of concern to referring physician and pathologist.
Authors: Syeda Beenish Zahra, Ayesha Isani Majeed, Nouman Malik
Institution: Pakistan Institute of Medical Sciences
Language: English
Subfield: Pathology and Forensic Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408867976