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

Authors
 Jo Sung Jung  ;  Yoon Seong Choi  ;  Sung Soo Ahn  ;  Seong Yi  ;  Se Hoon Kim  ;  Seung-Koo Lee 
Citation
 NEURORADIOLOGY, Vol.61(3) : 313-322, 2019 
Journal Title
 NEURORADIOLOGY 
ISSN
 0028-3940 
Issue Date
2019
MeSH
Adolescent ; Adult ; Aged ; Biopsy ; Child ; Child, Preschool ; Contrast Media ; Diagnosis, Differential ; Female ; Glioma/diagnostic imaging* ; Glioma/genetics* ; Glioma/pathology ; Glioma/surgery ; Histones/genetics* ; Humans ; Immunohistochemistry ; Infant ; Machine Learning ; Magnetic Resonance Imaging/methods* ; Male ; Middle Aged ; Mutation* ; Retrospective Studies ; Sensitivity and Specificity ; Spinal Cord Neoplasms/diagnostic imaging* ; Spinal Cord Neoplasms/genetics* ; Spinal Cord Neoplasms/pathology ; Spinal Cord Neoplasms/surgery
Keywords
Diffuse midline glioma ; Histone H3 K27M ; Random forest ; Spinal cord glioma
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.
Full Text
https://link.springer.com/article/10.1007%2Fs00234-019-02154-8
DOI
10.1007/s00234-019-02154-8
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Se Hoon(김세훈) ORCID logo https://orcid.org/0000-0001-7516-7372
Ahn, Sung Soo(안성수) ORCID logo https://orcid.org/0000-0002-0503-5558
Yi, Seong(이성)
Lee, Seung Koo(이승구) ORCID logo https://orcid.org/0000-0001-5646-4072
Choi, Yoon Seong(최윤성)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/169920
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