{"title":"Assessment of Diagnostic Accuracy of Digital Breast Tomosynthesis in Distinguishing Malignant and Benign Breast Lesions","authors":"Kanza Afzal, Nadia Gul, Khalid Mehmood, Sobia Jawwad, Bushra Iqbal","doi":"10.37185/lns.1.1.416","DOIUrl":null,"url":null,"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 \n ","PeriodicalId":516717,"journal":{"name":"Life and Science","volume":"13 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Life and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37185/lns.1.1.416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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