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Generating harmonized SUV within the EANM EARL accreditation program: software approach versus EARL-compliant
Charline Lasnon1,2,3, Thibault Salomon1, Cédric Desmonts1
1Nuclear Medicine Department, Caen University Hospital, Avenue Côte de Nacre, 14000, Caen, France.
Two PET reconstruction harmonization strategies effectively address variations in standardized uptake values (SUVs), ensuring comparable multicenter data for cancer diagnostics and treatment monitoring.
Area of Science:
- Nuclear Medicine
- Medical Imaging
- Oncology
Background:
- Advanced PET scanner technology, including point spread function (PSF) reconstruction, enhances diagnostic performance but introduces device and reconstruction-dependent variations in standardized uptake values (SUVs).
- These SUV variations hinder multicenter studies and the use of SUVs as prognostic biomarkers or early treatment response indicators in oncology.
- This study investigates two SUV harmonization strategies to ensure data comparability across different PET systems.
Purpose of the Study:
- To compare two SUV harmonization strategies for positron emission tomography (PET) data.
- To evaluate the effectiveness of using a second reconstruction compliant with harmonization standards versus a proprietary software tool (EQ.PET).
- To maintain comparability with older PET systems while utilizing newer reconstruction algorithms for improved lesion detection.
Main Methods:
- PET data from 50 non-small cell lung cancer patients were analyzed.
- Data underwent PSF reconstruction for optimal tumor detection and ordered subset expectation maximization (OSEM3D) reconstruction to simulate older PET systems.
- Two harmonization methods were applied: (1) PSF reconstruction with a 7 mm Gaussian filter (PSF7) and (2) application of the EQ filter post-reconstruction (PSF_EQ).
- SUV values (SUVmax, SUVpeak) were compared using regression analyses and Bland-Altman plots.
Main Results:
- Analysis included 171 lesions (lung lesions, lymph nodes, metastases).
- Mean SUVmax and SUVpeak ratios between PSF7/OSEM3D and PSF_EQ/OSEM3D reconstructions were close to 1, indicating good agreement.
- Comparison between PSF7 and PSF_EQ showed minimal differences in SUVmax and SUVpeak, with ratios near 1.
Conclusions:
- SUV variations due to reconstruction differences can be overcome by employing harmonization strategies.
- Both evaluated methods (dual reconstruction and EQ.PET software) achieve harmonized quantification, with EQ.PET offering time savings in reconstruction and interpretation.
- Manufacturers are encouraged to adopt similar solutions or develop vendor-neutral harmonization approaches for broader clinical utility.
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