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Standardization of PET/CT Performance Requirements for Whole-Body Quantitative Imaging: An International Proposal
John J Sunderland1, Ronald Boellaard2,3, John C Dickson4
1Department of Radiology, University of Iowa, Iowa City, Iowa; john-sunderland@uiowa.edu.
Summary
A new standardized PET scanner validation method is proposed to improve efficiency and reduce costs in clinical trials. This approach harmonizes phantom requirements, data analysis, and acceptance criteria for consistent PET scanner performance.
Area of Science:
- Nuclear Medicine
- Medical Imaging Physics
- Clinical Trials Methodology
Background:
- Current Positron Emission Tomography (PET) scanner validation lacks standardization, leading to inefficiencies and repeated testing for clinical trials.
- Existing validation programs by EARL, SNMMI CTN, and ANZSNM present opportunities for harmonization.
Purpose of the Study:
- To propose a standardized PET scanner validation paradigm for clinical trials.
- To identify critical quantitative performance characteristics for PET scanners in clinical settings.
Main Methods:
- Reviewed existing PET scanner validation programs (EARL, SNMMI CTN, ANZSNM) to identify commonalities and differences.
- Identified key PET criteria for quantitative performance relevant to clinical trials.
- Recommended standardized phantom-based measurement methodologies for calibration and recovery coefficients.
Main Results:
- Developed standardized phantom requirements, acquisition protocols, reconstruction methods, analysis techniques, and acceptance criteria.
- Proposed a validation program based on radionuclide-specific calibration and harmonized recovery coefficient performance.
- Recommended quarterly 18F calibration verification (±5% accuracy) and annual verification for other radionuclides (±10% accuracy).
Conclusions:
- An internationally standardized PET scanner validation paradigm is proposed for clinical trials.
- Adoption of this system would enhance efficiency, robustness, and trustworthiness in PET scanner validation.
- Implementation is expected to decrease costs and eliminate redundant testing in clinical trials.
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