RT Journal Article
T1 Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: a potential marker of survival
A1 Molina, David
A1 Perez-Beteta, Julian
A1 Luque, Belen
A1 Arregui, Elena
A1 Calvo, Manuel
A1 Borras, Jose M.
A1 Lopez, Carlos
A1 Martino, Juan
A1 Velasquez, Carlos
A1 Asenjo, Beatriz
A1 Benavides, Manuel
A1 Herruzo, Ismael
A1 Martinez-Gonzalez, Alicia
A1 Perez-Romasanta, Luis
A1 Arana, Estanislao
A1 Perez-Garcia, Victor M.
K1 Temozolomide
K1 Concomitant
K1 Cancer
AB Objective: The main objective of this retrospective work was the study of three-dimensional (3D) heterogeneity measures of post-contrast pre-operative MR images acquired with T-1 weighted sequences of patients with glioblastoma (GBM) as predictors of clinical outcome.Methods: 79 patients from 3 hospitals were included in the study. 16 3D textural heterogeneity measures were computed including run-length matrix (RLM) features (regional heterogeneity) and co-occurrence matrix (CM) features (local heterogeneity). The significance of the results was studied using Kaplan-Meier curves and Cox proportional hazards analysis. Correlation between the variables of the study was assessed using the Spearman's correlation coefficient.Results: Kaplan-Meyer survival analysis showed that 4 of the 11 RLM features and 4 of the 5 CM features considered were robust predictors of survival. The median survival differences in the most significant cases were of over 6 months.Conclusion: Heterogeneity measures computed on the post-contrast pre-operative T-1 weighted MR images of patients with GBM are predictors of survival.Advances in knowledge: Texture analysis to assess tumour heterogeneity has been widely studied. However, most works develop a two-dimensional analysis, focusing only on one MRI slice to state tumour heterogeneity. The study of fully 3D heterogeneity textural features as predictors of clinical outcome is more robust and is not dependent on the selected slice of the tumour.
PB British inst radiology
SN 0007-1285
YR 2016
FD 2016-01-01
LK http://hdl.handle.net/10668/19143
UL http://hdl.handle.net/10668/19143
LA en
DS RISalud
RD Apr 10, 2025