Prediction of intraoperative cerebrospinal fluid leaks in endoscopic endonasal transsphenoidal pituitary surgery based on a deep neural network model trained with MRI images: a pilot study

OBJECTIVE: This study aimed to investigate the reliability of a deep neural network (DNN) model trained only on contrast-enhanced T1 (T1CE) images for predicting intraoperative cerebrospinal fluid (ioCSF) leaks in endoscopic transsphenoidal surgery (EETS). METHODS: 396 pituitary adenoma (PA) cases w...

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Detalles Bibliográficos
Autores principales: Chang, Hui, Zhao, Kai, Qiu, Jun, Ji, Xiang-Jun, Chen, Wu-Gang, Li, Bo-Yuan, Lv, Cheng, Xiong, Zi-Cheng, Chen, Sheng-Bo, Shu, Xu-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413098/
https://www.ncbi.nlm.nih.gov/pubmed/37575298
http://dx.doi.org/10.3389/fnins.2023.1203698

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413098/
https://www.ncbi.nlm.nih.gov/pubmed/37575298
http://dx.doi.org/10.3389/fnins.2023.1203698

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