Utility of diffusion-weighted imaging in differentiating benign and malignant breast lesions
Autor: | Allen Johnson, Radha Sarawagi, Rajesh Malik, Jitendra Sharma, Abhinav Bhagat |
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Jazyk: | angličtina |
Rok vydání: | 2024 |
Předmět: | |
Zdroj: | South African Journal of Radiology, Vol 28, Iss 1, Pp e1-e10 (2024) |
Druh dokumentu: | article |
ISSN: | 1027-202X 2078-6778 |
DOI: | 10.4102/sajr.v28i1.2952 |
Popis: | Background: Breast cancer presents a significant global health burden. An accurate differentiation between benign and malignant lesions is imperative for timely intervention. While dynamic contrast enhanced MRI (DCE-MRI) is highly sensitive, its specificity is limited. This has led to the exploration of diffusion-weighted imaging (DWI) in distinguishing between benign and malignant breast lesions. Objectives: The study aimed to explore the diagnostic utility of DWI in distinguishing between benign and malignant breast lesions. Method: Assessment of 38 breast lesions using DWI with a b value of 800 s/mm2, performed with 3 Tesla MRI. The diagnostic performance of two different region of Interest (ROI) placement approaches was compared to obtain a feasible cut-off value of apparent diffusion coefficient (ADC) to differentiate between malignant and benign lesions. The histopathological reports were used as the gold standard. Results: ADC values of malignant lesions were significantly lower than those of benign lesions (0.84 × 10−3 mm2/s vs. 1.54 × 10−3 mm2/s). The average ADC measured using a small-sized 2D ROI including the darkest part in the ADC map, performed better than the large 2D ROI covering the entire lesion. Conclusion: Using a cut-off value of 0.98 × 10−3 mm2/s, ADC obtained high sensitivity (90%) and specificity (88.9%) in distinguishing between benign and malignant breast lesions. Contribution: Utilising quantitative analysis of DWI with ADC value measurement, reliably distinguished between benign and malignant breast lesions in this cohort, especially when employing a higher b value of 800 s/mm2. |
Databáze: | Directory of Open Access Journals |
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