CTNI-13. 18-FET-PET ENHANCED DIAGNOSIS OF PSEUDOPROGRESSION IN GLIOBLASTOMA IS AN INDEPENDENT PROGNOSTIC FACTOR FOR OVERALL SURVIVAL

Abstract INTRODUCTION Detecting pseudoprogression (PSP) in glioblastoma during first-line treatment remains challenging and has significant clinical implications for patient management. The detection of PSP has been shown feasible using FET-PET. The prognostic impact of FET-PET diagnosed PSP on overall survival is still uncertain, as retrospective studies provide limited insights due to the substantial differences in the distribution of prognostic factors between tumor progression (TP) and PSP groups. This study aims to address these uncertainties by leveraging advanced analysis techniques. METHODS Patients with newly diagnosed glioblastoma (WHO 2021) who underwent chemoradiation and contrast-enhanced MRI suspected for TP and subsequent FET-PET scan at Essen University Hospital were retrospectively evaluated. The modified Response Assessment in Neuro-Oncology (RANO) criteria were used to diagnose PSP. FET-PET analysis included mean (TBRmean) and maximum tumor-to-brain ratios (TBRmax). The two groups (TP/PSP) were balanced using a propensity score analysis including age at diagnosis, extent of resection, Karnofsky-Performance-Status Scale (KPS) and MGMT methylation status. Overall survival was predicted using Kaplan-Meier and multivariate analysis as well as conventional FET-PET parameters, PET/MRI volumetry, and FET/MRI-derived radiomics. An independent cohort was used for validation. RESULTS Out of the 165 patients analysed in this study, 38 were diagnosed with PSP. Following balancing analysis, our study cohort consisted of 40 patients (20 TP/20 PSP). Patients with PSP had a significantly longer mean overall survival (mOS) compared to those with TP (mOS TP 20.24 months; mOS PSP 33.25 months; p=0.0023). The multivariate Cox-Regression analysis confirmed PSP as a significant prognostic marker for overall survival (p=0.0153). Confirmation of these results on an independent validation cohort is pending and will be presented at the meeting. CONCLUSION This study shows that PSP is an independent prognostic factor for overall survival in newly diagnosed glioblastoma patients.

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Journal
Neuro-Oncology
Published
2024-11-01
DOI
https://doi.org/10.1093/neuonc/noae165.0380
Primary Topic
Glioma Diagnosis and Treatment
Type
article
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article

CTNI-13. 18-FET-PET ENHANCED DIAGNOSIS OF PSEUDOPROGRESSION IN GLIOBLASTOMA IS AN INDEPENDENT PROGNOSTIC FACTOR FOR OVERALL SURVIVAL

Christoph Kleinschnitz, Sied Kebir, Ken Hermann, Cornelius Deuschl et al.
Neuro-Oncology
Glioma Diagnosis and Treatment
article

CTNI-13. 18-FET-PET ENHANCED DIAGNOSIS OF PSEUDOPROGRESSION IN GLIOBLASTOMA IS AN INDEPENDENT PROGNOSTIC FACTOR FOR OVERALL SURVIVAL

Christoph Kleinschnitz, Sied Kebir, Ken Hermann, Cornelius Deuschl, Teresa Schmidt, Ulrich Sure, Michael Müther, Martin Stuschke, Christoph Oster, Martin Glas, Zeynep Oezdemir
article en

Abstract

Abstract INTRODUCTION Detecting pseudoprogression (PSP) in glioblastoma during first-line treatment remains challenging and has significant clinical implications for patient management. The detection of PSP has been shown feasible using FET-PET. The prognostic impact of FET-PET diagnosed PSP on overall survival is still uncertain, as retrospective studies provide limited insights due to the substantial differences in the distribution of prognostic factors between tumor progression (TP) and PSP groups. This study aims to address these uncertainties by leveraging advanced analysis techniques. METHODS Patients with newly diagnosed glioblastoma (WHO 2021) who underwent chemoradiation and contrast-enhanced MRI suspected for TP and subsequent FET-PET scan at Essen University Hospital were retrospectively evaluated. The modified Response Assessment in Neuro-Oncology (RANO) criteria were used to diagnose PSP. FET-PET analysis included mean (TBRmean) and maximum tumor-to-brain ratios (TBRmax). The two groups (TP/PSP) were balanced using a propensity score analysis including age at diagnosis, extent of resection, Karnofsky-Performance-Status Scale (KPS) and MGMT methylation status. Overall survival was predicted using Kaplan-Meier and multivariate analysis as well as conventional FET-PET parameters, PET/MRI volumetry, and FET/MRI-derived radiomics. An independent cohort was used for validation. RESULTS Out of the 165 patients analysed in this study, 38 were diagnosed with PSP. Following balancing analysis, our study cohort consisted of 40 patients (20 TP/20 PSP). Patients with PSP had a significantly longer mean overall survival (mOS) compared to those with TP (mOS TP 20.24 months; mOS PSP 33.25 months; p=0.0023). The multivariate Cox-Regression analysis confirmed PSP as a significant prognostic marker for overall survival (p=0.0153). Confirmation of these results on an independent validation cohort is pending and will be presented at the meeting. CONCLUSION This study shows that PSP is an independent prognostic factor for overall survival in newly diagnosed glioblastoma patients.

Neuro-OncologyVol. 26(Supplement_8)
University Hospital Münster (DE), Essen University Hospital (DE)
Good health and well-being
Openalex Percentile: Top 64%
Glioma Diagnosis and Treatment
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