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Erschienen in: Neuroradiology 3/2019

20.01.2019 | Spinal Neuroradiology

Differentiation between spinal cord diffuse midline glioma with histone H3 K27M mutation and wild type: comparative magnetic resonance imaging

verfasst von: Jo Sung Jung, Yoon Seong Choi, Sung Soo Ahn, Seong Yi, Se Hoon Kim, Seung-Koo Lee

Erschienen in: Neuroradiology | Ausgabe 3/2019

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Abstract

Purpose

Diffuse midline glioma with histone H3 K27M mutation is a new entity described in the 2016 update of the World Health Organization Classification of Tumors of the Central Nervous System. The purpose of this study was to evaluate the clinical and imaging characteristics to predict the presence of H3 K27M mutation in spinal cord glioma using a machine learning–based classification model.

Methods

A total of 41 spinal cord glioma patients consisting of 24 H3 K27M mutants and 17 wild types were enrolled in this retrospective study. A total of 17 clinical and radiological features were evaluated. The random forest (RF) model was trained with the clinical and radiological features to predict the presence of H3 K27M mutation. The diagnostic ability of the RF model was evaluated using receiver operating characteristic (ROC) analysis. Area under the ROC curves (AUC) was calculated.

Results

MR imaging features of spinal cord diffuse midline gliomas were heterogeneous. Hemorrhage was the only variable that was able to differentiate H3 K27M mutated tumors from wild-type tumors in univariate analysis (p = 0.033). RF classifier yielded 0.632 classification AUC (95% CI, 0.456–0.808), 63.4% accuracy, 45.8% sensitivity, and 88.2% specificity.

Conclusion

Our findings indicate that clinical and radiological features are associated with H3 K27M mutation status in spinal cord glioma.
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Metadaten
Titel
Differentiation between spinal cord diffuse midline glioma with histone H3 K27M mutation and wild type: comparative magnetic resonance imaging
verfasst von
Jo Sung Jung
Yoon Seong Choi
Sung Soo Ahn
Seong Yi
Se Hoon Kim
Seung-Koo Lee
Publikationsdatum
20.01.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Neuroradiology / Ausgabe 3/2019
Print ISSN: 0028-3940
Elektronische ISSN: 1432-1920
DOI
https://doi.org/10.1007/s00234-019-02154-8

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