Multicenter Trial Tests AI-Enhanced MRI for Preoperative Glioma Molecular Subtyping — Potential to Transform Neurosurgical Planning

References

1. 1.Castel, D., Philippe, C., Calmon, R., Le Dret, L., Truffaux, N., Boddaert, N., ... & Grill, J. (2015). Histone H3F3A and HIST1H3B K27M mutations define two subgroups of diffuse intrinsic pontine gliomas with different prognosis and phenotypes. Acta Neuropathologica, 130(6), 815-827. https://doi.org/10.1007/s00401-015-1478-0
2. 2.Chang, K., Bai, H. X., Zhou, H., Su, C., Bi, W. L., Agbodza, E., ... & Huang, R. Y. (2018). Residual convolutional neural network for the determination of IDH status in low-and high-grade gliomas from MR imaging. Clinical Cancer Research, 24(6), 1073-1081. https://doi.org/10.1158/1078-0432.CCR-17-2236
3. 3.Lamborn, K. R., Chang, S. M., & Prados, M. D. (2004). Prognostic factors for survival of patients with glioblastoma: recursive partitioning analysis. Neuro-Oncology, 6(4), 227-235. https://doi.org/10.1215/15228517-6-4-227
4. 4.Louis, D. N., Perry, A., Wesseling, P., Brat, D. J., Cree, I. A., Figarella-Branger, D., ... & Ellison, D. W. (2021). The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro-Oncology, 23(8), 1231-1251. https://doi.org/10.1093/neuonc/noab106
5. 5.Mackay, A., Burford, A., Carvalho, D., Izquierdo, E., Fazal-Salom, J., Taylor, K. R., ... & Jones, C. (2017). Integrated molecular meta-analysis of 1,000 pediatric high-grade and diffuse intrinsic pontine glioma. Cancer Cell, 32(4), 520-537. https://doi.org/10.1016/j.ccell.2017.08.017
6. 6.Ostrom, Q. T., Patil, N., Cioffi, G., Waite, K., Kruchko, C., & Barnholtz-Sloan, J. S. (2020). CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2013-2017. Neuro-Oncology, 22(12_Supplement_2), iv1-iv96. https://doi.org/10.1093/neuonc/noaa200
7. 7.Sturm, D., Witt, H., Hovestadt, V., Khuong-Quang, D. A., Jones, D. T., Konermann, C., ... & Pfister, S. M. (2012). Hotspot mutations in H3F3A and IDH1 define distinct epigenetic and biological subgroups of glioblastoma. Cancer Cell, 22(4), 425-437. https://doi.org/10.1016/j.ccr.2012.08.024
8. 8.Xiangya Hospital of Central South University. (2024). Application of MRI-Based Artificial Intelligence Models for Preoperative Molecular Subtyping and Prognostic Assessment of Midline Gliomas: A Multicenter Prospective Clinical Study. ClinicalTrials.gov. NCT07608003. https://clinicaltrials.gov/study/NCT07608003
9. 9.Yan, H., Parsons, D. W., Jin, G., McLendon, R., Rasheed, B. A., Yuan, W., ... & Bigner, D. D. (2009). IDH1 and IDH2 mutations in gliomas. New England Journal of Medicine, 360(8), 765-773. https://doi.org/10.1056/NEJMoa0808710
10. 10.Zhou, M., Scott, J., Chaudhury, B., Hall, L., Goldgof, D., Yeom, K. W., ... & Gatenby, R. A. (2018). Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches. American Journal of Neuroradiology, 39(2), 208-216. https://doi.org/10.3174/ajnr.A5391