OBJECTIVE: To determine the diagnostic accuracy of magnetic resonance imaging (MRI) in detecting myometrial invasion and cervical involvement in endometrial cancer. STUDY DESIGN: Seventy two consecutive patients with endometrial carcinoma underwent preoperative MRI. We compared the MRI results with the final histopathological findings. We classify myometrial invasion as <50 or>or=50% and cervical involvement as positive or negative. Standard statistical calculations were used. RESULTS: The sensitivity, specificity, and accuracy of MRI for the detection of myometrial invasion>or=50% were 71, 86, and 58%, respectively. Positive and negative predictive values are 77 and 83%, respectively. The sensitivity, specificity, and accuracy of MRI for the detection of cervical invasion were 41, 97, and 46%, respectively. Positive and negative predictive values are 71 and 89%, respectively. The possible causes of misdiagnosis included a tumor isointense with the myometrium, polypoid tumor, myometrial thinning, exceedingly irregular myometrium, presence of adenomiosis, and presence of leiomyomas. CONCLUSION: MRI assists in planning the surgical treatment of endometrial cancer with an acceptable accuracy and a good specificity, although sensitivity is suboptimal.
OBJECTIVE: To determine the diagnostic accuracy of magnetic resonance imaging (MRI) in detecting myometrial invasion and cervical involvement in endometrial cancer. STUDY DESIGN: Seventy two consecutive patients with endometrial carcinoma underwent preoperative MRI. We compared the MRI results with the final histopathological findings. We classify myometrial invasion as <50 or>or=50% and cervical involvement as positive or negative. Standard statistical calculations were used. RESULTS: The sensitivity, specificity, and accuracy of MRI for the detection of myometrial invasion>or=50% were 71, 86, and 58%, respectively. Positive and negative predictive values are 77 and 83%, respectively. The sensitivity, specificity, and accuracy of MRI for the detection of cervical invasion were 41, 97, and 46%, respectively. Positive and negative predictive values are 71 and 89%, respectively. The possible causes of misdiagnosis included a tumor isointense with the myometrium, polypoid tumor, myometrial thinning, exceedingly irregular myometrium, presence of adenomiosis, and presence of leiomyomas. CONCLUSION: MRI assists in planning the surgical treatment of endometrial cancer with an acceptable accuracy and a good specificity, although sensitivity is suboptimal.
Authors: P V Foti; R Farina; M Coronella; C Ruggeri; S Palmucci; A Montana; P Milone; G Zarbo; R Caltabiano; S Lanzafame; G Politi; G C Ettorre Journal: Radiol Med Date: 2012-08-08 Impact factor: 3.469
Authors: Gaiane M Rauch; Harmeet Kaur; Haesun Choi; Randy D Ernst; Ann H Klopp; Piyaporn Boonsirikamchai; Shannon N Westin; Leonardo P Marcal Journal: Radiographics Date: 2014 Jul-Aug Impact factor: 5.333