Comparison between [68Ga]Ga-NODAGA-RGDyK and [18F]FET for the assessment of gliomas: results of a pilot study

Abstract Arg-Gly-Asp peptide (RGD) binds to α v β 3 integrins, which are involved in the development of new vessels, necessary for tumor growth. Several RGD-based PET radiopharmaceuticals have been developed to visualize integrin α v β 3 expression. Differences between O-(2-[ 18 F]-fluoroethyl)-L-tyrosine ([ 18 F]FET) and integrin-targeting radiopharmaceuticals in patients with brain tumors have not been evaluated so far. Our aim was to compare the diagnostic information provided by the α v β 3 integrin-targeting [ 68 Ga]Ga-NODAGA-RGDyK ([ 68 Ga]Ga-RGD) with that of [ 18 F]FET and contrast-enhanced T1-weighted sequences (CE-T1w) in 10 patients with newly diagnosed or recurrent diffuse glioma. After image registration, tumor segmentation of [ 68 Ga]Ga-RGD and [ 18 F]FET PET images was performed using the average background signal multiplied by 1.6 as a threshold for positivity. The contrast-enhancing tumor portions were manually delineated on CE-T1w sequences. Tumor volumes (TV) identified by all three modalities (i.e. TV RGD , TV FET , TV CE−T1w ) were compared and their spatial congruence (SC) calculated. Thirteen brain lesions from 10 patients ( n = 4 with high-grade gliomas and n = 6 with low-grade gliomas) were analyzed, all showing increased [ 18 F]FET uptake. Nine lesions were [ 68 Ga]Ga-RGD-positive, 4 were [ 68 Ga]Ga-RGD-negative, all corresponding to non-contrast enhancing lesions. Tumor-to-background ratios (TBR) were higher for [ 68 Ga]Ga-RGD-positive than for [ 18 F]FET -positive disease (median TBR = 3.92 vs. 2.12, respectively, p = 0.008). All [ 18 F]FET - and [ 68 Ga]Ga-RGD-positive lesions extended beyond the contrast-enhancing tumor portions. In the whole cohort, TV FET exceeded TV RGD (median values = 11.2 vs. 7.7 mL, p = 0.014). In most high-grade glioma lesions (i.e. 5/7), however, TV RGD was larger than TV FET . Overall, median overlapping volume between [ 68 Ga]Ga-RGD and [ 18 F]FET was 3.6 mL (range 0.1–8.13mL), and the median SC was 24.3% (range, 0.9–59.8%). [ 18 F]FET and [ 68 Ga]Ga-RGD PET provide different information. In the overall cohort, TV FET was larger than TV RGD , however TV RGD tended to be larger than TV FET in the subgroup of patients with high-grade glioma. [ 68 Ga]Ga-RGD PET may delineate regions of active neoangiogenesis extending beyond gadolinium enhancement. Trial registration : https://www.clinicaltrials.gov/study/NCT02666547 , registered 2012-08-12.

Authors

Publication Details

Journal
Scientific Reports
Published
2026-10-08
DOI
https://doi.org/10.1038/s41598-026-74657-3
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison between [68Ga]Ga-NODAGA-RGDyK and [18F]FET for the assessment of gliomas: results of a pilot study

Andreas Felix Hottinger, Rita De Micheli, John Olivier Prior, Ferraro Daniela et al.
Scientific Reports
Medical Imaging Techniques and Applications
article

Comparison between [68Ga]Ga-NODAGA-RGDyK and [18F]FET for the assessment of gliomas: results of a pilot study

Andreas Felix Hottinger, Rita De Micheli, John Olivier Prior, Ferraro Daniela, Nathalie Testart Dardel, Vincent Dunet, Francesco Cicone, Monika E. Hegi, Silvano Gnesin, Luis Schiappacasse
article en

Abstract

Abstract Arg-Gly-Asp peptide (RGD) binds to α v β 3 integrins, which are involved in the development of new vessels, necessary for tumor growth. Several RGD-based PET radiopharmaceuticals have been developed to visualize integrin α v β 3 expression. Differences between O-(2-[ 18 F]-fluoroethyl)-L-tyrosine ([ 18 F]FET) and integrin-targeting radiopharmaceuticals in patients with brain tumors have not been evaluated so far. Our aim was to compare the diagnostic information provided by the α v β 3 integrin-targeting [ 68 Ga]Ga-NODAGA-RGDyK ([ 68 Ga]Ga-RGD) with that of [ 18 F]FET and contrast-enhanced T1-weighted sequences (CE-T1w) in 10 patients with newly diagnosed or recurrent diffuse glioma. After image registration, tumor segmentation of [ 68 Ga]Ga-RGD and [ 18 F]FET PET images was performed using the average background signal multiplied by 1.6 as a threshold for positivity. The contrast-enhancing tumor portions were manually delineated on CE-T1w sequences. Tumor volumes (TV) identified by all three modalities (i.e. TV RGD , TV FET , TV CE−T1w ) were compared and their spatial congruence (SC) calculated. Thirteen brain lesions from 10 patients ( n = 4 with high-grade gliomas and n = 6 with low-grade gliomas) were analyzed, all showing increased [ 18 F]FET uptake. Nine lesions were [ 68 Ga]Ga-RGD-positive, 4 were [ 68 Ga]Ga-RGD-negative, all corresponding to non-contrast enhancing lesions. Tumor-to-background ratios (TBR) were higher for [ 68 Ga]Ga-RGD-positive than for [ 18 F]FET -positive disease (median TBR = 3.92 vs. 2.12, respectively, p = 0.008). All [ 18 F]FET - and [ 68 Ga]Ga-RGD-positive lesions extended beyond the contrast-enhancing tumor portions. In the whole cohort, TV FET exceeded TV RGD (median values = 11.2 vs. 7.7 mL, p = 0.014). In most high-grade glioma lesions (i.e. 5/7), however, TV RGD was larger than TV FET . Overall, median overlapping volume between [ 68 Ga]Ga-RGD and [ 18 F]FET was 3.6 mL (range 0.1–8.13mL), and the median SC was 24.3% (range, 0.9–59.8%). [ 18 F]FET and [ 68 Ga]Ga-RGD PET provide different information. In the overall cohort, TV FET was larger than TV RGD , however TV RGD tended to be larger than TV FET in the subgroup of patients with high-grade glioma. [ 68 Ga]Ga-RGD PET may delineate regions of active neoangiogenesis extending beyond gadolinium enhancement. Trial registration : https://www.clinicaltrials.gov/study/NCT02666547 , registered 2012-08-12.

Scientific Reports
Openalex Percentile: Top 13%
Medical Imaging Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.