Quality control of 3D MRSI data in glioblastoma: Can we do without the experts?
Fiche publication
Date publication
novembre 2021
Journal
Magnetic resonance in medicine
Auteurs
Membres identifiés du Cancéropôle Est :
Pr NOEL Georges, Pr TRUC Gilles
Tous les auteurs :
Tensaouti F, Desmoulin F, Gilhodes J, Martin E, Ken S, Lotterie JA, Noël G, Truc G, Sunyach MP, Charissoux M, Magné N, Lubrano V, Péran P, Cohen-Jonathan Moyal E, Laprie A
Lien Pubmed
Résumé
Proton magnetic resonance spectroscopic imaging (1H MRSI) is a noninvasive technique for assessing tumor metabolism. Manual inspection is still the gold standard for quality control (QC) of spectra, but it is both time-consuming and subjective. The aim of the present study was to assess automatic QC of glioblastoma MRSI data using random forest analysis.
Mots clés
classification; glioblastoma, quality control, random forest, three-dimensional magnetic resonance spectroscopic imaging (3D MRSI)
Référence
Magn Reson Med. 2021 Nov 26;: