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To assess the role of diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging in the categorization of complex ovarian masses into benign and malignant. This prospective study was done on 33 complex ovarian masses. T1 and T2-weighted sequences, diffusion-weighted imaging, apparent diffusion coefficient, and dynamic contrast-enhanced magnetic resonance imaging were performed on 1.5 T MRI. Time-intensity curves, tissue signal intensity on unenhanced T1 images (SI0), maximum absolute contrast enhancement (SImax), time to reach SImax (Tmax), maximum relative SI (SIrel = [SImax - SI0]/SI0 ×100), maximum Slope (Slopemax = SIrel/Tmax ×100), and wash in rate (WIR = [SImax - SI0]/Tmax) were calculated. Histopathological diagnosis was taken as gold standard. A total of 20/33 masses were benign, 2/33 were borderline tumors, and 11/33 were malignant. Diffusion restriction was seen in all malignant masses and 13/20 benign masses. The mean apparent diffusion coefficient values showed a significant difference between malignant and benign, with 81.8% sensitivity and 63.6% specificity. Type III curve showed 100% specificity for malignant lesions. Tmax and Slopemax were useful in differentiating benign and malignant masses; with Tmax cut-off at 73.5 seconds having a high specificity (81.8%) and Slopemax cut-off at 0.83%/s having high sensitivity (91%) and negative predictive value (94.4%). Multiparametric MRI confers high diagnostic accuracy in stratifying complex ovarian masses. Copyright © 2019 Elsevier Inc. All rights reserved.

Citation

Veenu Singla, Kapil Dawadi, Tulika Singh, Nidhi Prabhakar, Radhika Srinivasan, Vanita Suri, Niranjan Khandelwal. Multiparametric MRI Evaluation of Complex Ovarian Masses. Current problems in diagnostic radiology. 2021 Jan - Feb;50(1):34-40

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PMID: 31399230

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