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March 3, 2026Quantitative Imaging in Medicine and Surgery0 citationsOpen Access

Feasibility of shortening the 18F-FDG Patlak scan time in a high-sensitivity short-axial field-of-view positron emission tomography-computed tomography system for oncological studies using deep learning denoising algorithms

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LWLing WangSZShixiang ZhangSYSen Yang

Key Points

  • Abbreviated protocols provide acceptable ki values from short-axial pet/ct systems for oncological purposes, improving efficiency.
  • The 20-minute protocol, enhanced by deep learning-based denoising, shows potential for clinical application in ki analysis.
  • This analysis uses data from a high-sensitivity short-axial pet/ct system, confirming denoising algorithms enhance imaging protocols.
  • Highlights a feasible approach to shorten scan times, suggesting further exploration into clinical applicability and validation.

Abstract

The findings suggest that abbreviated protocols can provide acceptable K i from short-axial PET/CT systems. The 20-min PBIF-based protocol, enhanced by a deep learning-based denoising algorithm, demonstrated the potential to be applied in K i analysis for both scientific and clinical purposes.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69a75d2cc6e9836116a26c29https://doi.org/10.21037/qims-2025-1757
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