Background: Endometrial carcinoma is the most common gynecologic malignancy in women and frequently presents with postmenopausal bleeding. Accurate preoperative staging is essential for determining appropriate treatment and predicting prognosis. Magnetic resonance imaging (MRI) with its superior soft-tissue contrast has emerged as the modality of choice for preoperative evaluation. Aim: To evaluate the role of MRI in preoperative assessment and FIGO staging of endometrial carcinoma and to correlate imaging findings with histopathological reports. Methods: A retrospective observational study was conducted at the Department of Radio diagnosis, IGGMCH Nagpur from November 2020 to December 2025, including 16 patients with histologically confirmed or imaging-suspected endometrial carcinoma who underwent contrast-enhanced MRI of the pelvis. MRI findings were assessed for tumor size, depth of myometrial invasion, cervical stromal involvement, parametrial extension, adnexal spread, pelvic/para-aortic lymphadenopathy and FIGO staging. Results: The mean patient age was 58 years (range 35–65 years). Postmenopausal bleeding was the predominant presenting symptom. MRI detected an endometrial mass in all 16 cases. Superficial myometrial invasion (<50%) was noted in 37.5% (n=6) and deep invasion (≥50%) in 31.25% (n=5) of cases. Cervical stromal involvement was identified in 31.25% (n=5). FIGO staging distribution: Stage IA – 31.25%, Stage IB – 18.75%, Stage II – 25%, Stage III – 12.5%, Stage IVB – 12.5%. Conclusion: MRI is a reliable and indispensable imaging modality for preoperative staging of endometrial carcinoma. It accurately delineates tumor extent, depth of myometrial invasion, cervical stromal involvement and extra uterine spread, thereby guiding surgical planning and adjuvant therapy decisions.

Background- Uterine fibroids, also known as uterine leiomyomas, are the most common benign tumors of the female reproductive tract. They arise from the smooth muscle cells of the myometrium and are frequently encountered in women of reproductive age. Imaging plays a crucial role in their detection, characterization, and classification for guiding clinical management. Objective- To evaluate the imaging spectrum of uterine fibroids using ultrasound and magnetic resonance imaging (MRI) and to analyze their distribution, morphology, and imaging characteristics in patients diagnosed at an Indira Gandhi Government Medical College, Nagpur. Materials and Methods- This retrospective study included 347 patients diagnosed with uterine fibroids who underwent pelvic ultrasound and/or MRI between 2024 and 2026 at Indira Gandhi Government Medical College, Nagpur. Imaging findings were reviewed for number, location, size, and imaging characteristics. Fibroids were classified according to the FIGO classification system. Results- Among the 347 patients included in the study, the majority belonged to the reproductive age group of 30–45 years. Intramural fibroids were the most common type identified on imaging. Ultrasound served as the primary modality for detection, while MRI provided superior delineation of fibroid location and degenerative changes. Conclusion- Ultrasound and MRI provide complementary roles in the evaluation of uterine fibroids. Accurate imaging characterization assists in guiding clinical management and treatment planning.

Background- Intracranial lesions encompass a wide spectrum of neoplastic, infective, inflammatory, ischemic, and cystic pathologies. Conventional magnetic resonance imaging (MRI) sequences often demonstrate overlapping imaging appearances, making accurate diagnosis challenging. Diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) mapping provide additional physiological and microstructural information that can improve lesion characterization. Aim- To evaluate the role of diffusion-weighted imaging and ADC values obtained from 3T MRI in the assessment and differentiation of intracranial lesions. Materials and Methods- A prospective observational study was conducted in patients presenting with suspected intracranial lesions who underwent MRI brain examination using a 3T MRI scanner. Conventional MRI sequences including T1-weighted, T2-weighted, FLAIR, and post-contrast imaging were performed along with DWI and ADC mapping. Lesions were analyzed for diffusion restriction patterns and quantitative ADC values. Histopathology, clinical follow-up, and radiological correlation were used for final diagnosis. Results- High-grade tumors, pyogenic abscesses, epidermoid cysts, and acute infarcts demonstrated restricted diffusion with low ADC values. Low-grade gliomas, arachnoid cysts, and cystic lesions with free water diffusion showed elevated ADC values. DWI proved particularly useful in differentiating pyogenic abscesses from necrotic tumors and epidermoid cysts from arachnoid cysts. Quantitative ADC analysis showed significant correlation with lesion cellularity and histopathological grade. Conclusion- DWI and ADC mapping significantly improve the diagnostic accuracy of MRI in intracranial lesions. These techniques provide valuable non-invasive information regarding tissue cellularity, viscosity, and microstructural integrity, thereby aiding lesion characterization, tumor grading, and early diagnosis.