Malignant epithelial tumors of the ovary:differential diagnosis with CT and MRImaging
10.3969/j.issn.1002-1671.2018.06.027
- VernacularTitle:卵巢恶性上皮源性肿瘤影像学鉴别诊断
- Author:
Shengkai LI
1
;
Xiaodan YUAN
;
Haiyang DAI
;
Yuxiang ZHOU
;
Guorong LIU
Author Information
1. 惠州市中心人民医院放射科
- Keywords:
ovarian neoplasms;
epithelial tumor;
computed tomography;
magnetic resonance imaging
- From:
Journal of Practical Radiology
2018;34(6):920-923
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of CT and MRI in the differential diagnosis of various subtypes malignant epithelial tumors of the ovary,to improve the understanding of imaging manifestations of ovarian cancer.Methods Fifty four cases with malignant epithelial tumors of the ovary confirmed by clinical operation and pathology were included in this study and preoperative imaging examinations were analyzed retrospectively.Results Thirty four cases were diagnosed as ovary cystadenoma,including 26 cases of serous cystadenoma (48%),8 cases of mucous cystadenoma (14%),10 cases of endometrioid adenocarcinoma (19%)and 10 cases of clear-cell carcinoma (19%).All the tumors appeared as unilocular or multilocular cystic-solid masses,however some differences existed among tumors in calcification in masses,size of solid nodules,locular appearance,with or without associated massive ascites, and adjacent structures involvement .Calcification occurred in 5 cases of cystadenocarcinoma,and no calcification was found in endometrioid adenocarcinoma or clear-cell carcinoma.The proportion of solid component in clear-cell carcinoma was lower,usually presenting as intralumimal nodular protuberance.Endometrioid adenocarcinoma was often associated with endometrial hyperplasia or endometrial carcinoma and was the most prone to peripheral invasion and adhesion.Conclusion The different subtypes of ovary malignant epithelium-derived tumor have different characteristics of multilocular,the size of cyst wall nodule or solid nodule and the calcification.Compare and analysis of these characteristics help us to make a more accurate preoperative diagnosis.
