Related Experiment Video
Updated: Jul 2, 2025

Whole-body PET/MRI of Pediatric Patients: The Details That Matter
Published on: December 19, 2017
Amide proton transfer weighted imaging in pediatric neuro-oncology: initial experience
Iris V Obdeijn1, Evita C Wiegers1, Lejla Alic2
1Center for Image Sciences, High Field MR Research Group, University Medical Center Utrecht, Utrecht, The Netherlands.
Insights
Amide proton transfer weighted (APTw) imaging shows promise for pediatric brain tumors. This technique can differentiate tumor tissue from normal white matter and aid in classifying tumor subtypes, potentially improving clinical decisions.
Area of Science:
- Radiology
- Medical Imaging
- Neuro-oncology
Background:
- Amide proton transfer weighted (APTw) imaging detects chemical exchange saturation transfer, assessing mobile proteins and peptides in vivo.
- APTw imaging has shown potential in adult brain tumors, but its utility in pediatric brain tumors requires investigation due to biological differences.
Purpose of the Study:
- To investigate the radiological appearance of pediatric brain tumors using APTw imaging.
- To assess the repeatability of APTw imaging in pediatric populations.
- To compare APTw signal intensities between tumor tissues and normal-appearing white matter, and between different pediatric brain tumor subtypes.
Main Methods:
- APTw imaging was performed at 3 Tesla, with maps calculated using magnetization transfer ratio asymmetry at 3.5 ppm.
- Repeatability was assessed using within-subject coefficient of variation (wCV) in a phantom and healthy volunteers.
- APTw levels were retrospectively analyzed in 23 pediatric brain tumor patients, comparing tumor vs. normal-appearing white matter (NAWM) and pediatric high-grade glioma (pHGG) vs. pediatric low-grade glioma (pLGG).
Main Results:
- APTw imaging demonstrated repeatability in most brain regions (wCV 11-39%), with some variability in the pontine region (39-50%).
- Significantly higher APTw values were observed in tumor tissue compared to NAWM for both pHGG and pLGG (p < 0.05).
- The pLGG subtype pilocytic astrocytoma showed higher APTw values compared to other pLGG subtypes (p < 0.05).
Conclusions:
- APTw imaging is a repeatable technique in pediatric brain regions, supporting its clinical application.
- APTw imaging can non-invasively differentiate pediatric brain tumors from normal white matter.
- APTw imaging may help characterize pediatric brain tumor biology, potentially aiding radiologists in clinical decision-making.
Abstract:
Amide proton transfer weighted (APTw) imaging enables in vivo assessment of tissue-bound mobile proteins and peptides through the detection of chemical exchange saturation transfer. Promising applications of APTw imaging have been shown in adult brain tumors. As pediatric brain tumors differ from their adult counterparts, we investigate the radiological appearance of pediatric brain tumors on APTw imaging. APTw imaging was conducted at 3 T. APTw maps were calculated using magnetization transfer ratio asymmetry at 3.5 ppm. First, the repeatability of APTw imaging was assessed in a phantom and in five healthy volunteers by calculating the within-subject coefficient of variation (wCV). APTw images of pediatric brain tumor patients were analyzed retrospectively. APTw levels were compared between solid tumor tissue and normal-appearing white matter (NAWM) and between pediatric high-grade glioma (pHGG) and pediatric low-grade glioma (pLGG) using t-tests. APTw maps were repeatable in supratentorial and infratentorial brain regions (wCV ranged from 11% to 39%), except those from the pontine region (wCV between 39% and 50%). APTw images of 23 children with brain tumor were analyzed (mean age 12 years ± 5, 12 male). Significantly higher APTw values are present in tumor compared with NAWM for both pHGG and pLGG (p < 0.05). APTw values were higher in pLGG subtype pilocytic astrocytoma compared with other pLGG subtypes (p < 0.05). Non-invasive characterization of pediatric brain tumor biology with APTw imaging could aid the radiologist in clinical decision-making.

