Article ; Online: T
Journal of magnetic resonance imaging : JMRI
2022 Volume 56, Issue 3, Page(s) 862–872
Abstract: ... To investigate the value of T: Study type: Retrospective.: Population: A total of 110 patients (49 ± 12 ... validation (n = 32) cohorts.: Field strength/sequence: 3.0 T, T: Assessment: W.C. and H.H. (6 and 10 ... conclusion: T: Level of evidence: 3 TECHNICAL EFFICACY: Stage 4. ...
Abstract | Background: MR imaging has been applied to determine therapeutic response to glucocorticoid (GC) before treatment in thyroid-associated ophthalmopathy (TAO), while the performance was still poor. Purpose: To investigate the value of T Study type: Retrospective. Population: A total of 110 patients (49 ± 12 years; male/female, n = 48/62; responsive/unresponsive, n = 62/48), divided into training (n = 78) and validation (n = 32) cohorts. Field strength/sequence: 3.0 T, T Assessment: W.C. and H.H. (6 and 10 years of experience, respectively) performed the measurements. Maximum, mean, and minimum signal intensity ratios (SIRs) of extraocular muscle (EOM) bellies were collected to construct a semiquantitative imaging model. Radiomics features from volumes of interest covering EOM bellies were extracted and three machine learning-based (logistic regression [LR]; decision tree [DT]; support vector machine [SVM]) models were built. Statistical tests: The diagnostic performances of models were evaluated using receiver operating characteristic curve analyses, and compared using DeLong test. Two-sided P < 0.05 was considered statistically significant. Results: The responsive group showed higher minimum signal intensity ratio (SIR Data conclusion: T Level of evidence: 3 TECHNICAL EFFICACY: Stage 4. |
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MeSH term(s) | Female ; Glucocorticoids/therapeutic use ; Graves Ophthalmopathy/diagnostic imaging ; Graves Ophthalmopathy/drug therapy ; Humans ; Magnetic Resonance Imaging/methods ; Male ; Retrospective Studies ; Support Vector Machine |
Chemical Substances | Glucocorticoids |
Language | English |
Publishing date | 2022-01-29 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1146614-5 |
ISSN | 1522-2586 ; 1053-1807 |
ISSN (online) | 1522-2586 |
ISSN | 1053-1807 |
DOI | 10.1002/jmri.28088 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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