Affiliation:
1. Assistant Professor, Department of Radiodiagnosis, SMS Medical College, Jaipur, Raj.
2. Assistant Professor, Department of Orthopaedics, Geetanjali Medical College, Udaipur, Raj.
3. Senior Resident , Department of Radiodiagnosis, SMS Medical College, Jaipur, Raj.
Abstract
Background- Dynamic contrast enhanced MRI (DCE MR) is an important imaging modality to detect and evaluate the breast lesions with high
sensitivity. Aim of study was to characterize breast lesions detect Objective- ed on MR mammography by diffusion weighted imaging and quantify
ADC values to differentiate benign and malignant mass and non mass lesions. Methods- This prospective study was performed in thirty female
patients on 1.5T GE Healthcare HDXT MRI machine. Thirty three breast lesions were included in this study. Final diagnosis was correlated with
histopathological diagnosis. Out of total thirty three lesions, mean ADC value Results- of malignant lesions was 1.01 ± 0.24 x 10-3mm2/sec and for
benign lesions was 1.48 ± 0.29 x 10-3 mm2/sec. The calculated ADC cut off value of 1.22x 10-3 mm2/sec gave a sensitivity of 86.96% and
specicity of 90% to differentiate malignant and benign breast lesions. As a Conclusion- conclusion Diffusion weighted imaging and quantitative
analysis with ADC values can be used with conventional DCE MR to differentiate benign and malignant breast lesions with high sensitivity and
specicity
Subject
General Agricultural and Biological Sciences,Philosophy,Classics,Physical and Theoretical Chemistry,Mechanical Engineering,General Chemical Engineering,Infectious Diseases,Cell Biology,Cellular and Molecular Neuroscience,Biochemistry,Law,Social Sciences (miscellaneous),History,General Economics, Econometrics and Finance,Business and International Management,Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Condensed Matter Physics,Nuclear Energy and Engineering,Civil and Structural Engineering,Statistical and Nonlinear Physics,Statistics and Probability,Industrial and Manufacturing Engineering,Management Science and Operations Research,Statistics, Probability and Uncertainty,Statistics and Probability