International Journal of Radiology and Diagnostic Imaging
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2023, Vol. 6, Issue 1, Part A

Diagnostic accuracy of shear wave elastography in the evaluation of solid breast lesions and its correlation with histopathology
Author(s)
Dr. Vasanth CJ, Dr. Vijayalakshmi, Dr. Raju and Dr. Col Sudhir Sachar
Abstract
Title: Diagnostic accuracy of shear wave elastography in evaluation of solid breast lesions & its correlation with histopathology.
Background: To assess role of shear wave elastography in diagnosis of solid breast lesions with histopathological correlation.
Materials and Methods: This cross-sectional analytical study was conducted in 50 patients from January 2021 to June 2022 in Department of Radiodiagnosis, Mahatma Gandhi Medical College and Research Institute, Pondicherry.
Results: Study group consisted of 50 individuals who presented to Department of Radiology for examination of breast for a solid tumor, ranging in age from 26 to 68 years. There were 27 malignant lesions among which 9 were Ductal Carcinoma insitu which is highest number seen in this study, 7 were Invasive ductal carcinoma, 6 were mucinous adenocarcinoma and 5 were Invasive lobular Carcinoma. Among 23 benign lesions, 47% were fibro adenomas followed by Mastitis (26%), Intraductal papilloma (17%), Adenosis (3%) and Intramammary lymph node. In this study sensitivity of shear wave elastography combined with USG was 95.24% & specificity was 97.37%. PPV & NPV values were 97.56% & 94.87% respectively. Mean elasticity value for predicting malignancy was 102.15 kpa & for benign was 41.12 kpa.
Conclusion: A thorough grasp of the characteristics of each elastography technique enables accurate imaging and diagnosis, proving that elastography is a clinically valuable tool.
Pages: 06-11 | Views: 830 | Downloads: 416


International Journal of Radiology and Diagnostic Imaging
How to cite this article:
Dr. Vasanth CJ, Dr. Vijayalakshmi, Dr. Raju, Dr. Col Sudhir Sachar. Diagnostic accuracy of shear wave elastography in the evaluation of solid breast lesions and its correlation with histopathology. Int J Radiol Diagn Imaging 2023;6(1):06-11. DOI: 10.33545/26644436.2023.v6.i1a.297
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