4.5 Article

Magnetic Resonance Imaging Features of Zinc Finger Translocation Associated-RELA Fusion Ependymoma Compared to Its Wild-Type Counterpart

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WORLD NEUROSURGERY
卷 175, 期 -, 页码 E1283-E1291

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.wneu.2023.04.118

关键词

Ependymoma; Magnetic resonance imaging; VASARI; ZFTA-RELA fusion

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This study explored the predictive value of quantitative features extracted from conventional magnetic resonance imaging in wild-type ependymomas. The results showed that enhancement quality, thickness of the enhancing margin, and edema crossing the midline have high predictive performance in identifying ZFTA-RELA fusion-positive and ZFTA-RELA fusion-negative ependymomas.
- OBJECTIVE: To explore the predictive value of quantitative features extracted from conventional magnetic resowild-type ependymomas. - METHODS: Twenty-seven patients with pathologically confirmed ependymomas (17 patients with ZFTA-RELA fusions and 10 ZFTA-RELA fusion-negative patients) who underwent conventional MRI were enrolled in this retrospective study. Two experienced neuroradiologists who were blinded to the histopathological subtypes tency between the readers was evaluated with the Kappa test. The imaging features with significant differences between the 2 groups were obtained using the least absolute shrinkage and selection operator regression model. Logistic regression analysis and receiver operating characteristic analysis were performed to analyze the diagnostic performance of the status in ependymoma.-RESULTS: There was a good interevaluator agreement on the imaging features (kappa value range 0.601e1.000). Enhancement quality, thickness of the enhancing margin, and edema crossing the midline have high predictive per-formance in identifying ZFTA-RELA fusion-positive and ZFTA-RELA fusion-negative ependymomas (C-index = 0.862 and area under the curve= 0.8618).-CONCLUSIONS: Quantitative features extracted from preoperative conventional MRI by Visually Accessible Rembrandt Images provide high discriminatory accuracy in predicting the ZFTA-RELA fusion status of ependymoma.

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