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Updated: Jun 11, 2026

Radiosynthesis, Quality Control, and Small Animal Positron Emission Tomography Imaging of 68Ga-Labelled Nano Molecules
Published on: October 4, 2024
Impact of Point-Spread Function Modeling on Image Quality in 68Ga-PSMA PET/CT
Subhash Chand Kheruka1, Naema Al-Maymani2, Noura Al-Makhmari2
1Department of Radiology and Nuclear Medicine, Sultan Qaboos Comprehensive Cancer Care, and Research Centre, University Medical City, Muscat, Oman; and skheruka@gmail.com.
None:
The objective of this study was to evaluate the impact of 2 PET reconstruction methods-time of flight (TOF) and TOF with point-spread function (PSF) modeling (TOF + PSF)-on image quality and measured quantitative metrics in 68Ga-PSMA PET/CT for prostate cancer. Methods: This retrospective analysis included 36 patients with prostate cancer who underwent 68Ga-PSMA PET/CT at the Sultan Qaboos Comprehensive Cancer Care and Research Center between October 2022 and February 2024. PET data were reconstructed using TOF and TOF + PSF on a Biograph Vision 600 system. The quantitative parameters compared were SUVmean, prostate-specific membrane antigen tumor volume (PSMA-TV), total lesion uptake (TLU), signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and lesion-to-background ratio (LBR; lesion SUVmean/background SUVmean). Paired t tests or Wilcoxon signed-rank tests were used as appropriate, and agreement between reconstructions was assessed using Bland-Altman analysis. Results: Compared with TOF, TOF + PSF yielded a significantly higher SUVmean (mean difference, 1.41; 95% CI, 1.08-1.75; P < 0.001), SNR (mean difference, 23.31; 95% CI, 18.34-28.28; P < 0.001), CNR (mean difference, 23.54; 95% CI, 18.62-28.47; P < 0.001), LBR (mean difference, 8.0; 95% CI, 5.85-10.16; P < 0.0001), and TLU (mean difference, 3.62; 95% CI, 2.40-4.84; P < 0.001). PSMA-TV showed no significant difference between reconstructions (mean difference, 0.0052; 95% CI, -0.0154 to 0.0257; P = 0.626). Bland-Altman analysis demonstrated a systematic positive bias for TOF + PSF in SUVmean, SNR, CNR, LBR, and TLU. Because PSF modeling can increase SUV-based measurements via resolution recovery and edge effects, these increases should be interpreted as reconstruction-dependent changes in relative contrast rather than confirmed improvements in absolute quantitative accuracy without ground-truth validation. Conclusion: TOF + PSF reconstruction improves image quality and increases SUV-based and contrast-related metrics in 68Ga-PSMA PET/CT and thus may enhance the conspicuity of small or low-contrast lesions. Phantom-based validation is recommended to determine the extent to which these reconstruction-dependent differences translate into improved absolute quantitative accuracy.
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