Aims & Objectives- To evaluate the diagnostic accuracy of MDCT to differentiate between benign and malignant ovarian masses and to compare the ndings with cytohistopathological results. Material & Methods- This prospective observational study was conducted at SRMS, Institute of Medical Sciences, Bareilly from November 2019 to April 2021. CT imaging ndings of 50 patients with ovarian masses diagnosed clinically or on pelvic sonography were compared with cyto-histopathological results. Ovarian masses were classied as benign or malignant based on scan ndings. Sensitivity, specicity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of MDCT were calculated. 50 c Results- ases were evaluated by computed tomography, total 60 lesions were found (10 bilateral / 50 unilateral). On the basis of computed tomography 28 patients were found to have benign ovarian lesions whereas malignant ovarian lesions were present in 22 patients. Cyto/histopathological correlation revealed benign lesions in 30 patients and malignant lesions in 20 patients. The sensitivity, specicity, PPV, NPV and diagnostic accuracy of Computed Tomography was found to be 90.0%, 86.6%, 89%, 85% and 90.0%. MDCT imaging offers a safe, accurate and non-invasive modality tdif Conclusion- ferentiate between benign and malignant ovarian masses.
AIM AND OBJECTIVES:To correlate MRI findings with clinical findings based on FIGO staging and to evaluate the role of MRI in assessing extension of uterine cervical malignancy in reference to post surgery/staging laparoscopy histopathologic examination where ever available. MATERIAL AND METHODS: This retrospective observational study included 35 patients of histopathologically confirmed carcinoma cervix attending the SRMS Institute of Medical Sciences,Bareilly,UP,who underwent clinical staging and preoperative MRI for evaluation of disease extension between November 2019 to February 2022. RESULTS:the mean age observed was 57.43 ±11.03 years.There is strong percentage agreement between clinical and MRI findings for parametrial invasion, vaginal invasion, hydronephrosis, adjacent pelvic organ involvement and distant metastases with fair to moderate agreement with kappa coefficient except for pelvic side wall involvement in which there was only slight agreement. MRI shows high sensitivity, specificity, PPV and NPV of MRI in diagnosing disease extension in comparison to the histopathology findings. CONCLUSION: Carcinoma cervix is primarily staged clinically as per FIGO guidelines but MRI can modify clinical staging and treatment options. MRI is a reliable diagnostic tool for cervical cancer as it correlates strongly with histopathology
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