Cargando…
Machine learning-based prediction of glioma margin from 5-ALA induced PpIX fluorescence spectroscopy
Gliomas are infiltrative brain tumors with a margin difficult to identify. 5-ALA induced PpIX fluorescence measurements are a clinical standard, but expert-based classification models still lack sensitivity and specificity. Here a fully automatic clustering method is proposed to discriminate glioma...
Autores principales: | Leclerc, Pierre, Ray, Cedric, Mahieu-Williame, Laurent, Alston, Laure, Frindel, Carole, Brevet, Pierre-François, Meyronet, David, Guyotat, Jacques, Montcel, Bruno, Rousseau, David |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989497/ https://www.ncbi.nlm.nih.gov/pubmed/31996727 http://dx.doi.org/10.1038/s41598-020-58299-7 |
Ejemplares similares
-
Two-peaked 5-ALA-induced PpIX fluorescence emission spectrum distinguishes glioblastomas from low grade gliomas and infiltrative component of glioblastomas
por: Montcel, Bruno, et al.
Publicado: (2013) -
ALA-PpIX mediated photodynamic therapy of malignant gliomas augmented by hypothermia
por: Fisher, Carl J., et al.
Publicado: (2017) -
Selective accumulation of ALA-induced PpIX and photodynamic effect in chemically induced hepatocellular carcinoma
por: Otake, M, et al.
Publicado: (2003) -
Comparing desferrioxamine and light fractionation enhancement of ALA-PpIX photodynamic therapy in skin cancer
por: de Souza, Ana Luiza Ribeiro, et al.
Publicado: (2016) -
First in patient assessment of brain tumor infiltrative margins using simultaneous time-resolved measurements of 5-ALA-induced PpIX fluorescence and tissue autofluorescence
por: Alfonso-García, Alba, et al.
Publicado: (2022)