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Does PET SUV Harmonization Affect PERCIST Response Classification?

Elske Quak1, Pierre-Yves Le Roux2, Charline Lasnon3,4,5

  • 1Nuclear Medicine Department, François Baclesse Cancer Centre, Caen, France.

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|June 11, 2016
PubMed
Summary
This summary is machine-generated.

PET scan reconstruction variability impacts tumor response classification. A proprietary software tool can harmonize SUV measurements, ensuring consistent PERCIST classification across different protocols.

Keywords:
18F-FDGPERCISTPETharmonizationtherapy response

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Area of Science:

  • Nuclear Medicine
  • Radiology
  • Oncology

Background:

  • Comparative PET scans ideally use identical acquisition and processing, but this is often impractical.
  • The impact of differing reconstruction protocols on PERCIST classification is not well understood.

Purpose of the Study:

  • To evaluate the consistency of PERCIST classification across different PET reconstruction algorithms.
  • To determine if a proprietary software tool can harmonize SUV estimations for consistent response classification.

Main Methods:

  • Eighty-six patients with various cancers underwent pre- and posttreatment PET scans.
  • Scans were reconstructed using point spread function (PSF) ± time-of-flight (TOF) and standardized ordered-subset expectation maximization (OSEM).
  • A proprietary software tool harmonized SUV values from PSF ± TOF reconstructions to OSEM values.

Main Results:

  • Variations in reconstruction methodology led to PERCIST classification discordances in 15-20% of patients.
  • PSF reconstruction altered the apparent SUL changes in responding and progressing tumors compared to OSEM.
  • Harmonizing SUVs with the proprietary software improved classification agreement (κ values of 1 and 0.95).

Conclusions:

  • Reconstruction algorithm variability significantly impacts PERCIST classification.
  • A proprietary software tool effectively harmonizes SUV values, overcoming variability.
  • This harmonization enables consistent tumor response classification in PET imaging.