Assessment of Diagnostic Accuracy of Digital Breast Tomosynthesis in Distinguishing Malignant and Benign Breast Lesions

  • Kanza Afzal POF Hospital, Wah Cantt, Pakistan
  • Nadia Gul POF Hospital, Wah Cantt, Pakistan
  • Khalid Mehmood Combined Military Hospital (CMH), Kharian, Pakistan
  • Sobia Jawwad POF Hospital, Wah Cantt, Pakistan
  • Bushra Iqbal POF Hospital, Wah Cantt, Pakistan
Keywords: Architectural Distortion, Breast Carcinoma, Digital Breast Tomosynthesis.

Abstract

Objective: The study aims to determine the diagnostic accuracy of digital breast tomosynthesis in diagnosing
malignant and benign lesions, keeping histopathology as the gold standard.
Study Design: Cross-sectional study.
Place and Duration of Study: The study was carried out at the Department of Diagnostic Radiology, POF
th th Hospital, Wah Cantt, Pakistan over a period of six months from 11th  July 2021 to 11th January 2022.
Methods: A total of 200 women presenting with suspicion of breast malignancy were selected consecutively
from the outpatient department, and Digital Breast Tomosynthesis(DBT) was performed, followed by a biopsy
of the specimen to confirm the findings on histopathology.
Results: The average age of the sample was 48.3 + 7.1 years, ranging between 35 and 60 years. Palpable breast
lump was recorded in 44.5%, pain in 33%, and nipple discharge in 35.5%. Family history of breast Ca was present in 25.5. On Digital Breast Tomosynthesis (DBT), 58.5% of lesions were labeled as malignant, while 53.5% were labeled as malignant on follow-up histopathology. On applying the formulae for calculation, the sensitivity of DBT was found to be 86% and specificity 73.1%. The positive predictive value of the DBT is 78.6%, and the
negative predictive value is 81.9%.
Conclusion: In conclusion, Digital Breast Tomosynthesisis a significantly sensitive and specific tool for detecting
malignant breast lesions in women suspected of breast carcinoma.

How to cite this: Afzal K, Gul N, Mehmood K, Jawwad S, Iqbal B. Assessment of Diagnostic Accuracy of Digital Breast Tomosynthesis in Distinguishing Malignant and Benign Breast Lesions. Life and Science. 2024; 5(1): 3-8. doi: http://doi.org/10.37185/LnS.1.1.416

 

Published
2024-01-15
Section
Original Article