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© OA Adegboyega, OT Ojo, OA Ikotun, WB Mutiu, OO Adeyeye, TV Fapohunda, 2025
Affiliations
OA Adegboyega
Department of Radiology, Lagos State University College of Medicine, Lagos State, Nigeria
OT Ojo
Department of Medicine, Lagos State University College of Medicine, Lagos State, Nigeria
OA Ikotun
Department of Anaesthesia, Lagos State University College of Medicine, Lagos State, Nigeria.
WB Mutiu
Department of Medical Microbiology and Parasitology, Lagos State University College of Medicine, Lagos State, Nigeria
OO Adeyeye
Department of Medicine, Lagos State University College of Medicine, Lagos State, Nigeria
TV Fapohunda
Department of Medicine, Lagos State University Teaching Hospital, Lagos State, Nigeria.
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- OA Adegboyega, OT Ojo, OA Ikotun, WB Mutiu, OO Adeyeye, TV Fapohunda, MRI Radiological Patterns in Ovarian Tumours: A Pilot Study at LASUTH , International Journal of Forensic Medical Investigation: Vol 11 No 1 (2025): International Journal of Forensic Medical Investigation
MRI Radiological Patterns in Ovarian Tumours: A Pilot Study at LASUTH
- OA Adegboyega ,
- OT Ojo ,
- OA Ikotun ,
- WB Mutiu ,
- OO Adeyeye ,
- TV Fapohunda
Vol 11 No 1 (2025): International Journal of Forensic Medical Investigation
Submitted: Jun 19, 2025
Published: Apr 11, 2025
Abstract
Objective: To evaluate the reliability of pre-operative Magnetic Resonance Imaging (MRI) in predicting operative and pathological outcomes of ovarian tumors in a Nigerian population (LASUTH).
Methods: A retrospective cross-sectional study was conducted at Lagos State University Teaching Hospital, Nigeria, between 2019 and 2024. The MRI, intraoperative, and histopathological results, from 87 patients with ovarian tumours were abstracted from the electronic archives of the Departments. Then, descriptive statistics and Pearson chi-square tests were used with significant levels expressed as p ≤ 0.05.
Results: The mean age of the patients was 45.66 years, with the majority (70.1%) between 36-53 years. The most common MRI diagnosis was multiseptated cystic mass (34.5%), followed by adnexal multiloculated mass (19.5%). High correlations were seen between MRI and histopathology: mucinous cystadenoma with endometriotic cyst (100%), multilobulated solid/cystic mass with borderline serous cystadenoma (20.8%), ovarian cysts with simple benign cysts (80%), and multiseptated cystic masses with borderline serous cystadenoma (79.2%). Adnexal
multiloculated masses were intraoperatively linked with bilateral adnexal masses (100%), bilateral mesenteric masses with ovarian mass with adhesions (54.2%), and multiseptated cystic masses with ovarian cystic mass with adhesions (92.3%). Distribution of age was 100% of multilobulated solid/cystic masses and mucinous cystadenomas in the 18-35 years age group, and 100% of adnexal multiloculated masses in the 54-72 years age group.
Conclusion: Pre-operative MRI predicts the intraoperative/pathological outcomes of ovarian tumors in this Nigerian population. This study encourages similar studies with a larger sample in the future for validation and widening generalizability.
Keywords: MRI Radiological patterns, Ovarian Tumours, Intraoperative, histopathological, LASUTH