Improved prediction of postoperative pediatric cerebellar mutism syndrome using an artificial neural network.

Sidpra, Jai; Marcus, Adam P; Löbel, Ulrike; Toescu, Sebastian M; Yecies, Derek; Grant, Gerald; Yeom, Kristen; Mirsky, David M; Marcus, Hani J; Aquilina, Kristian; Mankad, Kshitij

Sidpra, Jai; Marcus, Adam P; Löbel, Ulrike; Toescu, Sebastian M; Yecies, Derek; Grant, Gerald; Yeom, Kristen; Mirsky, David M; Marcus, Hani J; Aquilina, Kristian; Mankad, Kshitij.

Afiliación

Sidpra J; University College London Medical School, London, UK.
Marcus AP; Developmental Biology and Cancer Section, University College London Great Ormond Street Institute of Child Health, London, UK.
Löbel U; Department of Neuroradiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Toescu SM; Department of Brain Sciences and Computing, Imperial College London, London, UK.
Yecies D; Department of Neuroradiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Grant G; Department of Neurosurgery, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Yeom K; Developmental Imaging and Biophysics Section, University College London Great Ormond Street Institute of Child Health, London, UK.
Mirsky DM; Department of Neurosurgery, Lucile Packard Children's Hospital, Stanford, California, USA.
Marcus HJ; Department of Neurosurgery, Lucile Packard Children's Hospital, Stanford, California, USA.
Aquilina K; Department of Neuroradiology, Lucile Packard Children's Hospital, Stanford, California, USA.
Mankad K; Department of Radiology, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado, USA.

Neurooncol Adv ; 4(1): vdac003, 2022.

Article en En | MEDLINE | ID: mdl-35233531

Palabras clave

artificial neural network; complications; magnetic resonance imaging; posterior fossa tumor; postoperative pediatric cerebellar mutism syndrome

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Neurooncol Adv Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google