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Ferumoxytol Does Not Impact Standardized Uptake Values on PET/MR Scans
Anne M Muehe1, Ketan Yerneni1, Ashok J Theruvath1,2
1Department of Radiology, Pediatric Molecular Imaging Program, Stanford University, 725 Welch Road, Stanford, CA, 94304, USA.
Molecular Imaging and Biology
|July 21, 2019
Summary
Ferumoxytol contrast agent administration before positron emission tomography (PET)/magnetic resonance imaging (MRI) scans does not alter standardized uptake values (SUV) in normal organs. This finding supports ferumoxytol use, potentially speeding up PET/MRI procedures.
Area of Science:
- Radiology
- Nuclear Medicine
- Medical Imaging
Background:
- Positron emission tomography (PET)/magnetic resonance imaging (MRI) requires accurate quantification of radiotracer uptake for tumor response assessment.
- Gadolinium-based contrast agents (GBCAs) historically used for MRI enhancement are controversial due to brain deposition.
- Ferumoxytol nanoparticles offer an alternative to GBCAs, providing strong MRI enhancement without brain deposition.
Purpose of the Study:
- To investigate if ferumoxytol administration affects MR-based attenuation correction of PET data.
- To determine if ferumoxytol impacts standardized uptake values (SUV) in normal organs during [18F]FDG PET/MR scans.
Main Methods:
- Thirty pediatric patients with malignant tumors underwent [18F]FDG PET/MR scans.
- Fifteen patients received ferumoxytol prior to the scan (group 1), while fifteen received unenhanced scans (group 2).
- Attenuation correction utilized a Dixon-based gradient echo sequence; MRI enhancement (SNR) and radiotracer uptake (SUVmean, SUVmax) were compared between groups.
Main Results:
- Ferumoxytol significantly enhanced MRI contrast in blood and organs (SNR, p < 0.001).
- No significant differences in SUVmean or SUVmax were observed between ferumoxytol-enhanced and unenhanced scans (p > 0.05).
Conclusions:
- Ferumoxytol administration does not alter SUV in solid extra-cerebral organs.
- Ferumoxytol can be safely administered before PET/MRI, potentially accelerating image acquisition times.
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