Document Detail


Value of MR imaging in the differentiation of benign and malignant orbital tumors in adults.
MedLine Citation:
PMID:  20131055     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: To prospectively evaluate magnetic resonance (MR) imaging including dynamic contrast-enhanced MR imaging in the differentiation of benign from malignant orbital masses and to evaluate which MR imaging features are most predictive of malignant tumors. MATERIALS AND METHODS: The study was approved by the institutional review board and signed informed consent was obtained. Nonenhanced, static, and dynamic contrast-enhanced MR imaging was performed in 102 adult patients with an orbital mass. Diagnosis was based on histologic findings. MR imaging features of benign and malignant orbital lesions were evaluated correlated with histological findings. Multivariate logistic regression analysis was employed to identify the best combination of MR imaging features that might be predictive of malignancy. RESULTS: Nonenhanced, static, and dynamic enhancement MR imaging was significantly superior to two other models in prediction of malignancy (p < 0.05). Multivariate logistic regression analysis identified that the most discriminating MR imaging features were isointense mass on T2-weighted imaging and a washout-type time-intensity curve for both observers. CONCLUSION: Nonenhanced, static, and dynamic enhancement MR imaging improved differentiation between benign and malignant orbital masses in adult patients.
Authors:
Junfang Xian; Zhengyu Zhang; Zhenchang Wang; Jing Li; Bentao Yang; Fengyuan Man; Qinglin Chang; Yunting Zhang
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Publication Detail:
Type:  Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-02-04
Journal Detail:
Title:  European radiology     Volume:  20     ISSN:  1432-1084     ISO Abbreviation:  Eur Radiol     Publication Date:  2010 Jul 
Date Detail:
Created Date:  2010-06-09     Completed Date:  2010-09-21     Revised Date:  2010-09-27    
Medline Journal Info:
Nlm Unique ID:  9114774     Medline TA:  Eur Radiol     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  1692-702     Citation Subset:  IM    
Affiliation:
Department of Radiology, Capital Medical University, Beijing Tongren Hospital, Beijing, China. cjr.xianjunfang@vip.163.com
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adult
Aged
Aged, 80 and over
Contrast Media
Female
Humans
Image Processing, Computer-Assisted / methods
Linear Models
Magnetic Resonance Imaging / methods*
Male
Middle Aged
Neoplasms / diagnosis*,  radiography
Observer Variation
Orbital Neoplasms / classification,  diagnosis*,  radiography
Predictive Value of Tests
Tomography, X-Ray Computed / methods*
Chemical
Reg. No./Substance:
0/Contrast Media
Comments/Corrections

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