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Advanced Mri Prediction Model for Anatomical Site Identification in Uterine Carcinoma: Enhancing Diagnostic Accuracy Publisher Pubmed



Malek M1 ; Moayeri M2 ; Akhavan S3 ; Hasani SS4 ; Nili F5 ; Mahboubi Fooladi Z6
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Authors Affiliations
  1. 1. Muskoskletal Imaging Research Research Center (MIRC)Radiology Department, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Radiology Department, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences (TUMS), Tehran, Iran
  3. 3. Department of Obstetrics and Gynecology, Vali-Asr Reproductive Health Research Center, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Oncologic Gynecology, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Pathology, Cancer Institute, Imam Khomeini Hospital Complex, Tehran, Iran
  6. 6. Department of Radiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Source: Clinical Radiology Published:2025


Abstract

Aim: The uterine carcinoma is the most commonly diagnosed malignancy in the female pelvis. Accurate identification of tumour origin is crucial for determining appropriate treatment approaches. This study aims to develop a prediction model using multiple MRI parameters to accurately diagnose uterine cancer with an indistinctive origin and those involving both the endometrium and cervix prior to treatment. Material and methods: This prospective cohort study included patients who were newly diagnosed with uterine carcinoma who underwent MRI and were considered for hysterectomy within 6 months after MRI. Results: A total of 78 patients with uterine carcinoma were enrolled. Certain imaging features were found to be consistent with cervical carcinoma, included parametrial, vaginal, stromal invasion, and peripheral rim enhancement. Cervical cancer appeared hyperintense compared to the myometrium unlike endometrial cancer. Discussion: The study found that certain morphologic features were reliable indicators for detecting cervical carcinoma. © 2025 The Royal College of Radiologists
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