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Updated: May 6, 2026

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
Published on: December 16, 2022
A partial volume effect correction tailored for 18F-FDG-PET oncological studies.
F Gallivanone1, C Canevari, L Gianolli
1IBFM-CNR, Via F.lli Cervi 93, 20090 Segrate, Milan, Italy.
This study introduces a new method to correct partial volume effects in PET scans for cancer patients. The technique accurately quantifies radioactive uptake in oncological lesions, improving diagnostic precision.
Area of Science:
- Nuclear Medicine
- Medical Imaging
- Oncology
Background:
- Partial volume effect (PVE) in Positron Emission Tomography (PET) can lead to underestimation of radioactivity in small oncological lesions.
- Accurate quantification of radiotracer uptake is crucial for effective cancer diagnosis and treatment monitoring.
Purpose of the Study:
- To develop, optimize, and validate a novel PVE correction method for oncological lesions in PET clinical studies.
- To improve the accuracy of lesion quantification by addressing PVE in PET imaging.
Main Methods:
- Developed an operator-independent technique using an optimized threshold of maximum lesion uptake to define an isocontour.
- Experimentally derived recovery coefficients (RC) based on PET measurements of lesion-to-background ratio (L/B m) and lesion metabolic volume.
- Validated the method using phantom studies and patient data for lesions ranging from 10 mm to 40 mm.
Main Results:
- The PVE correction method demonstrated high accuracy (>89%) for lesions larger than 1 cm in diameter under clinical conditions.
- The method successfully recovered over 76% of radioactivity for lesions smaller than 1 cm.
- Experimental RC curves were generated as a function of measured L/B m and metabolic volume.
Conclusions:
- The proposed PVE correction method is accurate, feasible, and suitable for clinical application in PET oncology.
- This technique enhances the quantification of oncological lesions, potentially impacting clinical decision-making.
- The method provides a reliable approach to address PVE in diverse oncological lesion scenarios.
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