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Published in: European Journal of Nuclear Medicine and Molecular Imaging 13/2021

01-12-2021 | Glioma | Original Article

Prediction of H3K27M-mutant brainstem glioma by amide proton transfer–weighted imaging and its derived radiomics

Authors: Zhizheng Zhuo, Liying Qu, Peng Zhang, Yunyun Duan, Dan Cheng, Xiaolu Xu, Ting Sun, Jinli Ding, Cong Xie, Xing Liu, Sven Haller, Frederik Barkhof, Liwei Zhang, Yaou Liu

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 13/2021

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Abstract

Purpose

H3K27M-mutant associated brainstem glioma (BSG) carries a very poor prognosis. We aimed to predict H3K27M mutation status by amide proton transfer–weighted (APTw) imaging and radiomic features.

Methods

Eighty-one BSG patients with APTw imaging at 3T MR and known H3K27M status were retrospectively studied. APTw values (mean, median, and max) and radiomic features within manually delineated 3D tumor masks were extracted. Comparison of APTw measures between H3K27M-mutant and wildtype groups was conducted by two-sample Student’s T/Mann–Whitney U test and receiver operating characteristic curve (ROC) analysis. H3K27M-mutant prediction using APTw-derived radiomics was conducted using a machine learning algorithm (support vector machine) in randomly selected train (n = 64) and test (n = 17) sets. Sensitivity analysis with additional random splits of train and test sets, 2D tumor masks, and other classifiers were conducted. Finally, a prospective cohort including 29 BSG patients was acquired for validation of the radiomics algorithm.

Results

BSG patients with H3K27M-mutant were younger and had higher max APTw values than those with wildtype. APTw-derived radiomic measures reflecting tumor heterogeneity could predict H3K27M mutation status with an accuracy of 0.88, sensitivity of 0.92, and specificity of 0.80 in the test set. Sensitivity analysis confirmed the predictive ability (accuracy range: 0.71–0.94). In the independent prospective validation cohort, the algorithm reached an accuracy of 0.86, sensitivity of 0.88, and specificity of 0.85 for predicting H3K27M-mutation status.

Conclusion

BSG patients with H3K27M-mutant had higher max APTw values than those with wildtype. APTw-derived radiomics could accurately predict a H3K27M-mutant status in BSG patients.
Appendix
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Literature
19.
go back to reference Benesty J, Chen J, Huang Y, Cohen I. Pearson correlation coefficient. In: Noise reduction in speech processing. Heidelberg: Springer; 2009. p. 37–40. Benesty J, Chen J, Huang Y, Cohen I. Pearson correlation coefficient. In: Noise reduction in speech processing. Heidelberg: Springer; 2009. p. 37–40.
20.
go back to reference Kenji Kira LAR. A practical approach to feature selection Machine Learning. Proceedings of the Ninth International Workshop on Machine Learning. 1992;249–56. Kenji Kira LAR. A practical approach to feature selection Machine Learning. Proceedings of the Ninth International Workshop on Machine Learning. 1992;249–56.
32.
Metadata
Title
Prediction of H3K27M-mutant brainstem glioma by amide proton transfer–weighted imaging and its derived radiomics
Authors
Zhizheng Zhuo
Liying Qu
Peng Zhang
Yunyun Duan
Dan Cheng
Xiaolu Xu
Ting Sun
Jinli Ding
Cong Xie
Xing Liu
Sven Haller
Frederik Barkhof
Liwei Zhang
Yaou Liu
Publication date
01-12-2021
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Nuclear Medicine and Molecular Imaging / Issue 13/2021
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-021-05455-4

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