Texture analysis of apparent diffusion coefficient (ADC) map for glioma grading: Analysis of whole tumoral and peri-tumoral tissue.
Computer-assisted image analysis
Diffusion magnetic resonance imaging
Glioma
Texture analysis
Tumor grading
Journal
Diagnostic and interventional imaging
ISSN: 2211-5684
Titre abrégé: Diagn Interv Imaging
Pays: France
ID NLM: 101568499
Informations de publication
Date de publication:
May 2021
May 2021
Historique:
received:
14
08
2020
revised:
04
12
2020
accepted:
09
12
2020
pubmed:
10
1
2021
medline:
21
7
2021
entrez:
9
1
2021
Statut:
ppublish
Résumé
To prospectively investigate the capabilities of texture analysis (TA) based on apparent diffusion coefficient (ADC) map of the entire tumor volume and the whole volume of peri-tumoral edema, in discriminating between high-grade glioma (HGG) and low-grade glioma (LGG). A total of 33 patients with histopathological proven glioma were prospectively included. There were 20 men and 13 women with a mean age of 54.5±14.7 (standard deviation [SD]) years (range: 34-75years). TA parameters of whole tumor and peri-tumoral edema were extracted from the ADC map obtained with diffusion-weighted spin-echo echo-planar magnetic resonance imaging at 1.5-T. TA variables of HGG were compared to those of LGG. The optimum cut-off values of TA variables and their corresponding sensitivity, specificity and accuracy for differentiating between LGG and HGG were calculated using receiver operating characteristic curve analysis. Mean and median tumoral ADC of HGG were significantly lower than those of LGG, at 1.23×10 Measurements of whole tumoral and peri-tumoral TA, based on ADC maps, provide useful information that helps distinguish between HGG and LGG.
Identifiants
pubmed: 33419692
pii: S2211-5684(20)30305-3
doi: 10.1016/j.diii.2020.12.001
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
287-295Subventions
Organisme : NIBIB NIH HHS
ID : U24 EB028980
Pays : United States
Informations de copyright
Copyright © 2020 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.