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Framing protocol optimization in oncological Patlak parametric imaging with uKinetics.

Qing Ye1, Hao Zeng1, Yizhang Zhao1

  • 1Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China.

EJNMMI Physics
|September 12, 2023
PubMed
Summary

A new software, uKinetics, provides accurate total-body PET imaging for cancer studies. A 29-frame protocol is sufficient for efficient and reliable oncological Patlak parametric imaging.

Keywords:
PatlakProtocol optimizationTotal-body PETuKinetics

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Area of Science:

  • Nuclear medicine
  • Medical imaging
  • Radiochemistry

Background:

  • Total-body PET imaging offers unprecedented sensitivity, enabling high-temporal-resolution protocols for dynamic tracer studies.
  • Optimizing temporal framing is crucial for balancing data acquisition efficacy with computational demands in clinical settings.

Purpose of the Study:

  • To validate the uKinetics software package against PMOD for dynamic total-body PET studies.
  • To optimize framing protocols for oncological Patlak parametric imaging using 18F-FDG.

Main Methods:

  • Six temporal framing protocols (100, 61, 48, 29, 19, 12 frames) were applied to 60-min 18F-FDG PET scans from 10 patients.
  • Voxel-based Patlak analysis with an automatically derived input function was used to generate parametric images.
  • Correlation and Bland-Altman analyses compared different protocols against a 100-frame reference.

Main Results:

  • uKinetics demonstrated minor discrepancies with PMOD in Patlak parametric imaging.
  • Protocols with ≥29 frames showed low relative differences in input function and kinetic parameters compared to the 100-frame protocol.
  • Significant differences in lesion Ki values were observed between 100-frame and 12-frame protocols.

Conclusions:

  • uKinetics provides equivalent oncological Patlak parametric imaging performance to PMOD.
  • A 29-frame protocol is deemed sufficient and efficient for 18F-FDG Patlak applications in oncology.
  • While 19 frames yielded acceptable results, 12 frames are not recommended due to significant quantitative differences.