A deep learning model for differentiating paediatric intracranial germ cell tumour subtypes and predicting survival with MRI: a multicentre prospective study

Abstract Background The pretherapeutic differentiation of subtypes of primary intracranial germ cell tumours (iGCTs), including germinomas (GEs) and nongerminomatous germ cell tumours (NGGCTs), is essential for clinical practice because of distinct treatment strategies and prognostic profiles of the...

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Principais autores:	Yanong Li, Zhizheng Zhuo, Jinyuan Weng, Sven Haller, Harrison X. Bai, Bo Li, Xing Liu, Mingwang Zhu, Zheng Wang, Jane Li, Xiaoguang Qiu, Yaou Liu
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2024-09-01
Series:	BMC Medicine
Assuntos:	Deep learning (DL) Magnetic resonance imaging (MRI) Diagnostic model Prognostic evaluation Primary intracranial germ cell tumours (iGCTs)
Acceso en liña:	https://doi.org/10.1186/s12916-024-03575-w
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