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Updated: May 28, 2026

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
Published on: December 16, 2022
Practical approach for comparative analysis of multilesion molecular imaging using a semiautomated program for PET/CT
Josef J Fox1, Estelle Autran-Blanc, Michael J Morris
1Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA. foxj@mskcc.org
A new 5-step approach optimizes quantitative molecular imaging (MI) for cancer patients with multiple lesions. This method improves reproducibility and accuracy in assessing tumor burden and treatment response using PET/CT scans.
Area of Science:
- Oncology
- Nuclear Medicine
- Radiology
Background:
- Quantitative molecular imaging (MI) in cancer patients with multiple lesions presents challenges in standardization.
- Accurate assessment of tumor burden and treatment response requires reliable imaging metrics.
Purpose of the Study:
- To propose and validate a standardized 5-step approach for quantitative molecular imaging in cancer patients with multiple lesions.
- To enhance the reproducibility and accuracy of PET/CT scan interpretation for treatment response assessment.
Main Methods:
- Twenty patients with castration-resistant prostate cancer underwent (18)F-FDG and (18)F-FDHT PET/CT scans.
- A 5-point confidence scale, site lexicon, and semiautomated PET software were used for lesion interpretation.
- Background correction factors were calculated using receiver-operating-characteristic analysis, and a novel Larson-Fox-Gonen plot was developed for response assessment.
Main Results:
- High agreement (>99%) was achieved for negative sites, with 83-85% agreement for positive sites.
- Consensus-lesion maximum standardized uptake value (SUV(max)) demonstrated high reproducibility (concordance correlation coefficient > 0.98).
- The approach yielded 4 correction factors and a novel scatterplot for depicting tumor burden and changes in SUV(max).
Conclusions:
- A 5-step approach optimizes multilesion molecular imaging in cancer.
- This method incorporates a confidence scale, site lexicon, semiautomated PET software, background correction, and Larson-Fox-Gonen graphing.
- The standardized approach enhances quantitative accuracy and reproducibility for cancer patient management.
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