A Prospective Observational Study Evaluating the Accuracy of MRI in Predicting the Extent of Disease in Endometrial Cancer

  • Gaurav Goel
  • Anupama RajanbabuEmail author
  • C. J. Sandhya
  • Indu R. Nair
Original Article


This prospective study looks into the accuracy of magnetic resonance imaging (MRI) in predicting the depth of MI, cervical invasion, lymph node metastasis, and extrauterine spread (EUS) of disease in endometrial cancer. Between June 2014 and December 2015, 58 patients with biopsy-proven endometrial cancer who underwent MRI prior to surgery were included in the study. MRI findings like myometrial invasion, extrauterine spread, lymph nodal metastasis, and cervical invasion were compared against the histopathology report. Sensitivity, specificity, PPV, NPV, and overall accuracy of MRI for myometrial depth assessment were 75.0%, 73.08%, 77.2%, 70.37%, and 74.14 respectively. Sensitivity, specificity, PPV, NPV, and overall accuracy of MRI in assessing lymph node spread were 88.64%, 66.67%, 95.12%, 44.44%, and 86.0% respectively. As for predicting extrauterine spread and cervical invasion, MRI showed poor sensitivity (37.5% and 50% respectively) and a high specificity (92% and 100% respectively). Our study shows that preoperative MRI has high sensitivity and specificity to predict myometrial invasion and lymph node involvement. But, it is not sensitive enough to predict cervical involvement or extrauterine spread.


Endometrial carcinoma MRI Myometrial invasion Pathology 



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Copyright information

© Indian Association of Surgical Oncology 2018

Authors and Affiliations

  1. 1.Department of Surgical Oncology, Amrita Institute of Medical Sciences and Research CentreAmrita UniversityKochiIndia
  2. 2.Department of Gynecologic Oncology, Amrita Institute of Medical Sciences and Research CentreAmrita UniversityKochiIndia
  3. 3.Department of Radiology, Amrita Institute of Medical Sciences and Research CentreAmrita UniversityKochiIndia
  4. 4.Department of Pathology, Amrita Institute of Medical Sciences and Research CentreAmrita UniversityKochiIndia

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