Back

Mapping intra-tumoural heterogeneity in a spectrum of adolescent central nervous system tumours using APT-CEST and 18F-choline PET-MRI

Hyare, H.; Nyugen, T.; Rega, M.; Torrealdea, F.; Hearle, J.; Zaiss, M.; Shankar, A.; Golay, X.

2025-12-29 radiology and imaging
10.64898/2025.12.22.25339845 medRxiv
Show abstract

BackgroundPaediatric and adolescent gliomas and glioneuronal tumours remain challenging to assess non-invasively. Amide proton transfer (APT) chemical exchange saturation transfer (CEST) MRI has shown promise in adult gliomas but has not been well studied in younger patients. PurposeTo assess whether APT CEST signal can act as a non-invasive surrogate of tumour proliferation in adolescent CNS tumours by correlating it with 18F-choline PET uptake (SUV) as a proxy for membrane synthesis / proliferative activity. MethodsTen adolescent patients (14-19 yrs) with confirmed or suspected gliomas / glioneuronal tumours underwent simultaneous APT CEST and 18F-choline PET-MRI. Regions of interest (ROIs) corresponding to non-enhancing, enhancing, necrotic tumour, and contralateral white matter were delineated. Mean APT signal intensity (SI) and PET SUV were extracted per ROI. Nonparametric statistics and Spearmans correlation analyses were performed. ResultsAPT SI was significantly elevated in enhancing, non-enhancing, and necrotic tumour ROIs compared to normal white matter (p<0.001). 18F-choline SUV was elevated in enhancing and necrotic ROIs vs white matter, but not significantly so for non-enhancing tumour (p=0.02). A strong correlation between whole-tumour APT SI and 18F-choline SUV was seen (Spearman {rho}=0.86, p<0.001). ConclusionOur results indicate that APT CEST is feasible in adolescents and may reflect proliferative tumour burden. The detection of elevated APT SI even in non-enhancing tumour regions suggests potential utility in monitoring non-contrast-enhancing disease. Larger cohorts and multimodal correlation (e.g. Ki-67, amino acid PET) are warranted to confirm and extend these findings.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

1
Neuro-Oncology Advances
24 papers in training set
Top 0.1%
63.4%
50% of probability mass above
2
Journal of Magnetic Resonance Imaging
14 papers in training set
Top 0.2%
4.5%
3
NeuroImage: Clinical
132 papers in training set
Top 1%
3.2%
4
PLOS ONE
4510 papers in training set
Top 47%
2.2%
5
Scientific Reports
3102 papers in training set
Top 49%
2.2%
6
Brain Communications
147 papers in training set
Top 2%
1.8%
7
Neuro-Oncology
30 papers in training set
Top 0.4%
1.7%
8
Imaging Neuroscience
242 papers in training set
Top 2%
1.3%
9
Annals of Neurology
57 papers in training set
Top 1%
1.3%
10
NeuroImage
813 papers in training set
Top 5%
1.3%
11
European Radiology
14 papers in training set
Top 0.5%
1.0%
12
Brain Structure and Function
83 papers in training set
Top 0.4%
0.9%
13
NMR in Biomedicine
24 papers in training set
Top 0.3%
0.9%
14
eBioMedicine
130 papers in training set
Top 3%
0.8%
15
Journal of Neuroscience Research
25 papers in training set
Top 0.6%
0.7%
16
Brain and Behavior
37 papers in training set
Top 2%
0.7%
17
European Journal of Neurology
20 papers in training set
Top 0.7%
0.7%
18
European Journal of Nuclear Medicine and Molecular Imaging
19 papers in training set
Top 0.4%
0.5%
19
Diagnostics
48 papers in training set
Top 3%
0.5%
20
BMC Medicine
163 papers in training set
Top 8%
0.5%
21
Journal of Cerebral Blood Flow & Metabolism
43 papers in training set
Top 0.9%
0.5%
22
Human Brain Mapping
295 papers in training set
Top 5%
0.5%