Multi-Threshold Volumetric 18F-FET PET for Tumor Detection and Prognosis in Primary Glioma

Abstract Background Amino acid PET with 18F-fluoroethyltyrosine (18F-FET) complements MRI to improve specificity of tumor detection. We evaluated whether threshold-based volumetric metrics (TBRthres) provide complementary diagnostic and prognostic information to single-voxel tumor-to-brain ratio maximum (TBRmax). Methods This retrospective single-institution study included 100 previously treated glioma patients (WHO Grade 2-4) who underwent 18F-FET PET/MRI (N = 96) or PET/CT (N = 4) following equivocal findings of tumor progression versus treatment-related changes. Patients received 693.8±79.6 MBq of 18F-FET, with PET analysis based on the 20-40 minute averaged static sequence acquired post-injection. Diagnostic performance, reproducibility, and survival associations were assessed using ROC analysis, intraclass correlation coefficients (ICC), and Cox proportional hazards models. Results TBRthres map generation was highly reproducible (ICC>0.86) and significantly associated with overall survival in univariate analyses (HR range: 3.07-4.45). Volumetric metrics demonstrated diagnostic performance comparable to TBRmax (AUC up to 0.91). TBRmax showed moderate correlation with tumor volume (R2 ≈ 0.35-0.40), indicating partially overlapping but non-redundant information. In multivariate models adjusting for clinical covariates, neither volumetric metrics nor TBRmax remained statistically significant. However, in models adjusting for TBRmax, volumetric TBRthres metrics remained significantly associated with survival. Combined models improved predictive performance at selected thresholds, particularly TBRthres ≥ 1.6 (AUC 0.62 to 0.70, p = 0.009) and TBRthres ≥ 2.0 (AUC 0.62 to 0.72, p = 0.019), with smaller improvement at TBRthres ≥ 2.5. Conclusion Volumetric 18F-FET PET metrics provide reproducible measures of tumor burden with diagnostic and prognostic performance comparable to TBRmax. They offer complementary information and, at selected thresholds, modest incremental predictive value beyond TBRmax.

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Journal
Neuro-Oncology Advances
Published
2026-06-12
DOI
https://doi.org/10.1093/noajnl/vdag159
Primary Topic
Glioma Diagnosis and Treatment
Type
article
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article

Multi-Threshold Volumetric 18F-FET PET for Tumor Detection and Prognosis in Primary Glioma

Matthew Larson, Michael C. Veronesi, Nathaniel J. Smith, Gary D. Hutchins et al.
Neuro-Oncology Advances
Glioma Diagnosis and Treatment
article

Multi-Threshold Volumetric 18F-FET PET for Tumor Detection and Prognosis in Primary Glioma

Matthew Larson, Michael C. Veronesi, Nathaniel J. Smith, Gary D. Hutchins, Tristan K. Deaton, Brian Graner, Philipp Lohmann, Lu Mao, Keith George Ciantar, Sharon Sidenbender, Mark Tann, Mark A Green, Thura Tun Oo, Jesus Ocana, Kathryn Nevel, Shaun D Grega, Wendy Territo
article en

Abstract

Abstract Background Amino acid PET with 18F-fluoroethyltyrosine (18F-FET) complements MRI to improve specificity of tumor detection. We evaluated whether threshold-based volumetric metrics (TBRthres) provide complementary diagnostic and prognostic information to single-voxel tumor-to-brain ratio maximum (TBRmax). Methods This retrospective single-institution study included 100 previously treated glioma patients (WHO Grade 2-4) who underwent 18F-FET PET/MRI (N = 96) or PET/CT (N = 4) following equivocal findings of tumor progression versus treatment-related changes. Patients received 693.8±79.6 MBq of 18F-FET, with PET analysis based on the 20-40 minute averaged static sequence acquired post-injection. Diagnostic performance, reproducibility, and survival associations were assessed using ROC analysis, intraclass correlation coefficients (ICC), and Cox proportional hazards models. Results TBRthres map generation was highly reproducible (ICC>0.86) and significantly associated with overall survival in univariate analyses (HR range: 3.07-4.45). Volumetric metrics demonstrated diagnostic performance comparable to TBRmax (AUC up to 0.91). TBRmax showed moderate correlation with tumor volume (R2 ≈ 0.35-0.40), indicating partially overlapping but non-redundant information. In multivariate models adjusting for clinical covariates, neither volumetric metrics nor TBRmax remained statistically significant. However, in models adjusting for TBRmax, volumetric TBRthres metrics remained significantly associated with survival. Combined models improved predictive performance at selected thresholds, particularly TBRthres ≥ 1.6 (AUC 0.62 to 0.70, p = 0.009) and TBRthres ≥ 2.0 (AUC 0.62 to 0.72, p = 0.019), with smaller improvement at TBRthres ≥ 2.5. Conclusion Volumetric 18F-FET PET metrics provide reproducible measures of tumor burden with diagnostic and prognostic performance comparable to TBRmax. They offer complementary information and, at selected thresholds, modest incremental predictive value beyond TBRmax.

Neuro-Oncology Advances
University of Wisconsin–Madison (US), Forschungszentrum Jülich (DE), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US), RWTH Aachen University (DE)
Good health and well-being
Openalex Percentile: Top 7%
Glioma Diagnosis and Treatment
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