Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation study
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Molecular Biology,Pathology and Forensic Medicine
Link
https://www.nature.com/articles/s41374-021-00692-5.pdf
Reference25 articles.
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2. Louis, D. N. et al. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta. Neuropathol. 131, 803–820 (2016).
3. Louis, D. N. et al. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro Oncol. 23, 1231–1251 (2021).
4. Kaloshi, G. et al. Temozolomide for low-grade gliomas: predictive impact of 1p/19q loss on response and outcome. Neurology. 68, 1831–1836 (2007).
5. Scheie, D. et al. Fluorescence in situ hybridization (FISH) on touch preparations: a reliable method for detecting loss of heterozygosity at 1p and 19q in oligodendroglial tumors. Am. J. Surg. Pathol. 30, 828–837 (2006).
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