Potential Advantages of Diffusion Study Over Conventional MRI in Diagnosing Ovarian Lesions | ||||
Al-Azhar International Medical Journal | ||||
Volume 2025, Issue 2, February 2025, Page 300-304 PDF (485.14 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/aimj.2025.446456 | ||||
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Authors | ||||
Mohamed Salah Elfeshawy ![]() | ||||
1Diagnostic and Interventional Radiology, Faculty of Medicine for Boys, Al-Azhar University, Cairo, Egypt | ||||
2Obstetrics and Gynecology, Faculty of Medicine for Boys, Al-Azhar University, Cairo, Egypt | ||||
Abstract | ||||
Background: One promising new functional imaging technique that has shown promise in identifying benign or malignant ovarian lesions is diffusion-weighted imaging (DWI). Aim of the study: To assess the incremental benefit of the DWI over conventional MRI in the characterization of ovarian masses already identified by ultrasonography or conventional CT. Patients and methods: This retrospective study involved fifty females with adnexal masses identified during ultrasonography or computed tomography examinations. All patients provided their informed consent prior to being included in the current research, which was carried out at the departments of radiology and gynecology between September 2022 and August 2024. In every patient, a pelvic MRI with DWI was conducted. All patients subjected to surgery and the pathological results were contrasted with the radiological DWI and MRI findings. Results: Based on histopathological findings, 80% (40 cases) were benign, while 20% (10 cases) were malignant. There has been an increase in the sensitivity, the specificity, the positive predictive value (PPV), the negative predictive value (NPV) NPV, and the accuracy from 82%, 77%, 46%, 96%, and 78% for conventional of MR Imaging to 100%, 92%, 73%, 100%, and 94% for the DWI. Conclusions: Our retrospective analysis concluded that the addition of DWI to conventional MRI constitutes an effective and noninvasive approach in evaluating ovarian masses. DWI improves MRI's sensitivity and specificity, which boosts radiologists' confidence in interpreting the images and eventually influences the patient's prognosis. | ||||
Keywords | ||||
MRI; Diffusion; Ovarian masses | ||||
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