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Updated: Jan 15, 2026

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Comparative evaluation of quantitative analysis using two phantom-based software programs for 18F-FDG-PET/CT.

Kosuke Yamashita1, Kazuki Motegi2, Noriaki Miyaji3

  • 1Department of Medical Imaging Technology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan. kyamashita@kumamoto-u.ac.jp.

Radiological Physics and Technology
|October 9, 2025
PubMed
Summary
This summary is machine-generated.

A new automated software, Arimaru, shows strong concordance with conventional methods for Fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) quantitative analysis, meeting Japanese Society of Nuclear Medicine guidelines.

Keywords:
18F-FDGJapanese guideline for the oncology FDG-PET/CT data acquisition protocolPhysical parametersPositron emission tomography (PET)The standard PET imaging protocols and phantom test procedures and criteria

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Area of Science:

  • Nuclear Medicine
  • Medical Imaging
  • Radiopharmacology

Background:

  • Variability in 18F-FDG-PET/CT image quality and quantitative accuracy exists across institutions and devices.
  • The Japanese Society of Nuclear Medicine (JSNM) established guidelines for image quality assurance.
  • Automated software solutions are emerging to streamline quality assurance processes.

Purpose of the Study:

  • To compare the performance of a new automated software, Arimaru, against conventional software for quantitative analysis of 18F-FDG-PET/CT images.
  • To evaluate Arimaru's accuracy in calculating physical parameters relevant to image quality.
  • To assess Arimaru's compliance with JSNM guidelines.

Main Methods:

  • Utilized the NEMA IEC Body phantom with list-mode acquisition (1800s) and reconstruction at multiple time points (30-1800s) on two PET/CT systems (GE Healthcare Discovery MI and IQ).
  • Calculated five physical parameters (Q H,10, N 10, Q H,10/N 10, CV BG, and SUV max) using both Arimaru and conventional software (PETquact IE).
  • Assessed region of interest (ROI) positioning accuracy and correlation between methods.

Main Results:

  • Arimaru accurately positioned ROIs and demonstrated strong correlations (r > 0.85, p < 0.05) with the conventional method for all parameters.
  • Significant differences were observed in some physical parameter values between Arimaru and conventional software.
  • The automated method met JSNM guidelines.

Conclusions:

  • The automated Arimaru software shows strong concordance with conventional methods and adheres to JSNM guidelines for 18F-FDG-PET/CT quantitative analysis.
  • Systematic differences in calculated values necessitate understanding software-specific characteristics.
  • Adoption of automated tools like Arimaru can promote standardized PET imaging practices.