MR Imaging in Endometrial Carcinoma as a Diagnostic Tool for the Prediction of Myometrial Invasion and Lymph Node Metastasis.
- Author:
Ui Nam RYOO
1
;
Chel Hun CHOI
;
Ji Yeong YOON
;
Soo Kyung NOH
;
Heeseok KANG
;
Woo Young KIM
;
Boh Hyun KIM
;
Tae Joong KIM
;
Jeong Won LEE
;
Je Ho LEE
;
Byoung Gie KIM
;
Duk Soo BAE
Author Information
1. Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. huna0@naver.com
- Publication Type:Original Article
- Keywords:
Endometrial carcinoma;
MR imaging;
Accuracy
- MeSH:
Endometrial Neoplasms*;
Female;
Humans;
Lymph Nodes*;
Magnetic Resonance Imaging*;
Medical Records;
Neoplasm Metastasis*;
Retrospective Studies;
Sensitivity and Specificity
- From:Cancer Research and Treatment
2007;39(4):165-170
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: The purpose of this study was to evaluate the factors that are associated with the accuracy of magnetic resonance (MR) imaging for predicting myometrial invasion and lymph node metastasis in women with endometrial carcinoma. MATERIALS AND METHODS: We retrospectively reviewed the medical records and preoperative MR imaging reports of 128 women who had pathologically proven endometrial carcinoma. We compared the MR imaging and the histopathology findings. RESULTS: The sensitivity, specificity and accuracy for identifing any myometrial invasion (superficial or deep) were 0.81, 0.61 and 0.74, respectively; these values for deep myometrial invasion were 0.60, 0.94 and 0.86, respectively. The sensitivity, specificity and accuracy of MR imaging for detecting lymph node metastasis were 50.0%, 96.6% and 93.0%, respectively. The patients who were older, had more deliveries and a larger tumor size more frequently had incorrect prediction of deep myometrial invasion (p=0.034, p=0.044, p=0.061, respectively). A higher tumor grade, a histology other than the endometrioid type, myometrial invasion on MR findings and a larger tumor size were associated with a more frequent false-negative prediction of lymph node metastasis (p=0.018, p=0.017, p=0.002, p=0.047, respectively). A larger tumor size was also associated with more frequent false-positive results (p=0.009). CONCLUSIONS: There are several factors that make accurate assessment of myometrial invasion or lymph node metastasis difficult with using MRI; therefore, the patients with these factors should have their MR findings cautiously interpreted.
