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Positron Emission Tomography01:29

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Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
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Whole-body PET/MRI of Pediatric Patients: The Details That Matter
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Mitigating SUV uncertainties using total body PET imaging.

Charlotte L C Smith1,2, Gerben J C Zwezerijnen3,4, Marijke E den Hollander3

  • 1Department of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, De Boelelaan 1117 1081 HV, Amsterdam, The Netherlands. c.l.c.smith@amsterdamumc.nl.

European Journal of Nuclear Medicine and Molecular Imaging
|November 12, 2023
PubMed
Summary
This summary is machine-generated.

Image-derived quantitative measurements from 18F-FDG PET scans improve accuracy and reduce variability in standardized uptake values (SUV). This quality control method enhances the reliability of PET imaging for clinical applications.

Keywords:
18F-FDG PET/CTBody weightImage basedLAFOV PETQuality control

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Area of Science:

  • Nuclear Medicine
  • Radiopharmacology
  • Medical Imaging Physics

Background:

  • Standardized uptake values (SUV) are crucial for quantifying 18F-FDG uptake in PET imaging.
  • SUV measurements can be affected by uncertainties and errors, impacting diagnostic accuracy.
  • Long-axial field-of-view (LAFOV) PET/CT systems offer potential for image-based quality control.

Purpose of the Study:

  • To develop and validate image-based quality control (QC) methods for 18F-FDG PET.
  • To derive 18F-FDG activity and patient weight directly from total body (TB) and half-body (HB) PET images.
  • To reduce SUV uncertainties and improve the precision of quantitative PET measurements.

Main Methods:

  • Regression fits were established using 25 patient scans from a LAFOV PET/CT system to derive image-based activity and weight.
  • These regression fits were applied to 56 independent 18F-FDG PET scans (TB and HB) for validation.
  • The impact of image-derived values on liver SUVmean and lesion SUVpeak precision was assessed.
  • Regression fits were also tested on 20 scans from a short-axial field-of-view (SAFOV) PET/CT system.

Main Results:

  • Image-derived 18F-FDG activity and weight strongly correlated with reported values (r > 0.98).
  • Accurate derivation of activity and weight was achieved within 4.9% and 3.2% for TB scans and within 4.9% and 3.1% for HB scans, respectively.
  • Image-derived values reduced variability in liver and lesion SUV measurements compared to reported values.
  • SAFOV system scans yielded comparable accuracy for activity and weight derivation (within 6.7% and 4.5%).

Conclusions:

  • 18F-FDG activity and weight can be accurately determined from both TB and HB PET scans using image-derived methods.
  • Image-derived values enhance SUV precision and correct for lesion SUV errors, leading to more reliable quantitative measurements.
  • Incorporating image-derived values as a QC measure is recommended for reproducible and trustworthy PET uptake quantification.