» Articles » PMID: 37296988

Texture Analysis of the Apparent Diffusion Coefficient Focused on Contrast-Enhancing Lesions in Predicting Survival for Bevacizumab-Treated Patients with Recurrent Glioblastoma

Overview
Journal Cancers (Basel)
Publisher MDPI
Specialty Oncology
Date 2023 Jun 10
PMID 37296988
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: Glioblastoma often recurs after treatment. Bevacizumab increases progression-free survival in some patients with recurrent glioblastoma. Identifying pretreatment predictors of survival can help clinical decision making. Magnetic resonance texture analysis (MRTA) quantifies macroscopic tissue heterogeneity indirectly linked to microscopic tissue properties. We investigated the usefulness of MRTA in predicting survival in patients with recurrent glioblastoma treated with bevacizumab.

Methods: We evaluated retrospective longitudinal data from 33 patients (20 men; mean age 56 ± 13 years) who received bevacizumab on the first recurrence of glioblastoma. Volumes of contrast-enhancing lesions segmented on postcontrast T1-weighted sequences were co-registered on apparent diffusion coefficient maps to extract 107 radiomic features. To assess the performance of textural parameters in predicting progression-free survival and overall survival, we used receiver operating characteristic curves, univariate and multivariate regression analysis, and Kaplan-Meier plots.

Results: Longer progression-free survival (>6 months) and overall survival (>1 year) were associated with lower values of major axis length (MAL), a lower maximum 2D diameter row (m2Ddr), and higher skewness values. Longer progression-free survival was also associated with higher kurtosis, and longer overall survival with higher elongation values. The model combining MAL, m2Ddr, and skewness best predicted progression-free survival at 6 months (AUC 0.886, 100% sensitivity, 77.8% specificity, 50% PPV, 100% NPV), and the model combining m2Ddr, elongation, and skewness best predicted overall survival (AUC 0.895, 83.3% sensitivity, 85.2% specificity, 55.6% PPV, 95.8% NPV).

Conclusions: Our preliminary analyses suggest that in patients with recurrent glioblastoma pretreatment, MRTA helps to predict survival after bevacizumab treatment.

Citing Articles

Survival prediction using apparent diffusion coefficient values in recurrent glioblastoma under bevacizumab treatment: an updated systematic review and meta-analysis.

Liu D, Li Z Diagn Interv Radiol. 2024; 30(4):270-274.

PMID: 38291976 PMC: 11589514. DOI: 10.4274/dir.2024.232550.

References
1.
Pasqualetti F, Giampietro C, Montemurro N, Giannini N, Gadducci G, Orlandi P . Old and New Systemic Immune-Inflammation Indexes Are Associated with Overall Survival of Glioblastoma Patients Treated with Radio-Chemotherapy. Genes (Basel). 2022; 13(6). PMC: 9223226. DOI: 10.3390/genes13061054. View

2.
Friedman H, Prados M, Wen P, Mikkelsen T, Schiff D, Abrey L . Bevacizumab alone and in combination with irinotecan in recurrent glioblastoma. J Clin Oncol. 2009; 27(28):4733-40. DOI: 10.1200/JCO.2008.19.8721. View

3.
Jain R, Scarpace L, Ellika S, Torcuator R, Schultz L, Hearshen D . Imaging response criteria for recurrent gliomas treated with bevacizumab: role of diffusion weighted imaging as an imaging biomarker. J Neurooncol. 2009; 96(3):423-31. DOI: 10.1007/s11060-009-9981-6. View

4.
Ellingson B, Malkin M, Rand S, LaViolette P, Connelly J, Mueller W . Volumetric analysis of functional diffusion maps is a predictive imaging biomarker for cytotoxic and anti-angiogenic treatments in malignant gliomas. J Neurooncol. 2010; 102(1):95-103. PMC: 3033973. DOI: 10.1007/s11060-010-0293-7. View

5.
Ellingson B, Patel K, Wang C, Raymond C, Brenner A, de Groot J . Validation of diffusion MRI as a biomarker for efficacy using randomized phase III trial of bevacizumab with or without VB-111 in recurrent glioblastoma. Neurooncol Adv. 2021; 3(1):vdab082. PMC: 8350152. DOI: 10.1093/noajnl/vdab082. View