Clinical Utility of Ultrasonography BI-RADS in the Evaluation of Breast Cancer in Patients with Palpable Breast Masses: A Diagnostic Test Accuracy Original Article

Authors
Category Primary study
Pre-printmedRxiv
Year 2023
IntroductionDiagnosing and staging breast cancer with an easy and widely useable method that can be employed worldwide in the poorest and wealthiest settings is important. Mammography is a technique that might not be available in faraway clinics and it is technically challenging whereas USG can be available in most remote areas and small hospitals far from tertiary care hospitals. Even a trainee Radiology resident can use USG BIRADS and can be used diagnostically for that, it is important to define its, diagnostic accuracy with Sensitivity, Specificity, and other diagnostic parameters. AimsTo determine the Diagnostic accuracy of USG BIRADS compared to the gold standard Histopathology report MethodologyA Retrospective cohort study was conducted at a tertiary care hospital. a total of 84 female patients presenting to Surgical OPD with complaints of a breast lump or pain were enrolled from their records. Their Breast USG results were analyzed to identify their BIRADS stage correctly and then their corresponding Histopathology report was considered the gold standard to compare the USG results against. Excel, SPSS, and Revman were used to conduct analysis and create results. Results36 of these 84 patients belonged to BIRADS 1, 2, and 5 where Sensitivity, Specificity, and PPV were calculated at 100%. No one was diagnosed with BIRADS III from USG reports. For USG BIRADS 4, in total 48 patients Sensitivity was 0.667, specificity was 0.883, and PPV was 0.364. ConclusionPatients whose USG shows Benign growth or can be diagnosed in BIRADS 1, 2, 3, and 5 can be counted as accurate and precise. When the USG diagnosis describes the patient to be in BIRADS 4, the sensitivity and PPV show poor results showing a very low probability of the patient being truly positive when the diagnosis gives a positive result.
Epistemonikos ID: 19f91f737b0818d426a8c881d93e7d4454565b66
First added on: Jan 14, 2025