Abstract
Object
Pediatric diffuse intrinsic pontine glioma (DIPG) is a radiologically heterogeneous disease entity, here we aim to establish a multimodal imaging-based radiological classification and evaluate the outcome of different treatment strategies under this classification frame.
Methods
This retrospective study included 103 children diagnosed with DIPGs between January 2015 and August 2018 in Beijing Tiantan Hospital (Beijing, China). Multimodal radiological characteristics, including conventional magnetic resonance imaging (MRI), diffuse tensor imaging/diffuse tensor tractography (DTI/DTT), and positron emission tomography (PET) were reviewed to construct the classification. The outcome of different treatment strategies was compared in each DIPG subgroup using Kaplan–Meier method (log-rank test) to determine the optimal treatment for specific DIPGs.
Results
Four radiological DIPG types were identified: Type A (“homocentric”, n=13), Type B (“ventral”, n=41), Type C (“eccentric”, n=37), and Type D (“dorsal”, n=12). Their treatment modalities were grouped as observation (43.7%), cytoreductive surgery (CRS) plus radiotherapy (RT) (24.3%), RT alone (11.7%), and CRS alone (20.4%). CRS+RT mainly fell into type C (29.7%), followed by type B1 (21.9%) and type D (50%). Overall, CRS+RT exhibited a potential survival advantage compared to RT alone, which was more pronounced in specific type, but this did not reach statistical significance, due to limited sample size and unbalanced distribution.
Conclusion
We proposed a multimodality imaging-based radiological classification for pediatric DIPG, which was useful for selecting optimal treatment strategies, especially for identifying candidates who may benefit from CRS plus RT. This classification opened a window into image-guided integrated treatment for pediatric DIPG.
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Data Availability
The datasets generated during and analysis during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
We gratefully acknowledge the valuable contribution of Qianqian Liu (Peking Union Medical College) for her assistance in statistical analysis.
Funding
Beijing Municipal Special Funds for Medical Research, grant no. Jing Yi Yan 2018-7;
Capital’s Funds for Health Improvement and Research, grant no. 2020-4-20410;
National Natural Science Foundation of China, grant no. 81872048, 8200112572.
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Conception and design: Changcun Pan, Mingxin Zhang, Xiong Xiao, Lu Kong, Yuliang Wu, Liwei Zhang.
Collection and assembly of data: Xiaobin Zhao, Tao Sun, Peng Zhang, Yibo Geng, Mingxin Zhang, Pengcheng Zuo, Yi Wang, Guocan Gu and Tian Li.
Data analysis and interpretation: Dan Xiao, Mingxin Zhang, Lu Kong, Changcun Pan, Xiong Xiao
Figure preparing: Mingxin Zhang, Yuliang Wu
Manuscript writing: All authors.
Final approval of manuscript: All authors.
Study supervision: All authors.
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Pan, C., Zhang, M., Xiao, X. et al. A multimodal imaging-based classification for pediatric diffuse intrinsic pontine gliomas. Neurosurg Rev 46, 151 (2023). https://doi.org/10.1007/s10143-023-02068-3
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DOI: https://doi.org/10.1007/s10143-023-02068-3