Abstract Issue

Volume 12 Issue 4 ( October-December ) 2023

Original Articles

Diagnostic Utility of Diffusion-Weighted MRI in Female Pelvic Masses
Dr. Nirav kumar Janakbhai Lakhani, Dr. Swati Sharma, Dr. Pallavi Sharma, Dr. R.P Bansal

Introduction: In recent years, there has been an increase in the use of diffusion-weighted imaging (DWI) for pelvic magnetic resonance imaging (MRI). More rapid imaging methods and stronger diffusion gradients have been created, especially after parallel imaging was introduced and resulted in high-quality DWI of the body with significantly less motion artifacts. Materials and method: This prospective observational study based on 124 female patients of all age groups who clinically presented with vaginal bleeding and/or pelvic mass and all cases of female pelvic masses diagnosed on USG. All patients with absolute contraindication to MRI and any history of claustrophobia or noisy/non-diagnostic MRI/DWI examinations due to motion artefacts were excluded from the study. Results: The results are structured to first detail the diagnostic accuracy of DW-MRI in identifying different types of female pelvic masses. Subsequently, we correlate these imaging findings with histopathological diagnoses to establish the reliability of DW-MRI as a diagnostic tool. Finally, we explore the utility of DW-MRI in monitoring treatment response and disease progression in cases of malignant pelvic masses. Conclusion: Without the use of ionizing radiation or intravenous contrast, DWI provides structural and functional information about biological tissues. This MRI modality is currently commonly utilized and is becoming more and more important in multiparametric MRI. The research proves beyond a reasonable doubt that diffusion weighted magnetic resonance imaging, also known as DW-MRI, is an effective diagnostic tool that can differentiate between benign and malignant female pelvic masses. It does an efficient job of identifying the nature and composition of these masses and has a high rate of sensitivity when it comes to detecting cancerous growths.

 
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