Diagnostic Accuracy of Ultrasound Bi-RADS Classification Among Females Having Breast Lumps, by Taking Histopathology as Gold Standard

  • Naushaba Malik Head of Radiology Department, PESSI Hospital, I-12, I.J.Principal Road,Islamabad
  • Maryam Rauf Consultant Radiologist, PESSI Hospital, I-12, I.J.Principal Road, Islamabad
  • Ghazala Malik Radiologist, Pakistan Institute of Medical Sciences, G-8/3, Islamabad
Keywords: Benign lump, BI-RADS, histopathology

Abstract

Objective:  To determine the diagnostic accuracy of ultrasound BI-RADS classification in patients presented with breast lump by cytology as histopathology as “a benchmark”.

Material and methods: This cross-sectional study was conducted at department of Radiology at Islamabad Diagnostic Center, F-8, Markaz, Islamabad. from 1st Feb., 2018 to 30th July, 2018. All the patients who presented with breast lumps were included and underwent mammograms (Digital Mammogram DRE by GE USA). Mammogram reports were categorized 0-VI according to Breast Imaging-Reporting and Data System (BI-RADS) scores 0-VI . Patients having BI-RADS score 0-III were considered as negative and BI-RADS score IV-V were considered as positive Patients further underwent fine needle aspiration of breast lump for cytology. Data was collected via self-made performa and analyzed by using SPSS version 20.

RESULTS: Total 72 females presented with breast lump were studied; their mean age was 40.27+4.48 years. 22 patients had breast cancer according to BI-RADS classification, and out of these 16 patients were conformed on histopathology. Sensitivity and specificity of BI-RADS classifications were 75% and 82% respectively, while diagnostic accuracy was 80% by taking histopathology as gold standard. There was a significant positive correlation between BI-RADS classification and lump size on ultrasound r-value 0.279 and p-value 0.001.

Conclusion: Ultrasound BI-RADS classification is the effective reliable modality with sensitivity was 75% and specificity 82% in the diagnosis of breast lump in order to decrease the burden of unnecessary biopsies.

Key words:  Benign lump, BI-RADS, histopathology

Published
2020-04-29
Section
Original Articles