Practical approach for comparative analysis of multilesion molecular imaging using a semiautomated program for PET/CT.

TitlePractical approach for comparative analysis of multilesion molecular imaging using a semiautomated program for PET/CT.
Publication TypeJournal Article
Year of Publication2011
AuthorsFox JJ, Autran-Blanc E, Morris MJ, Gavane S, Nehmeh S, Van Nuffel A, Gönen M, Schöder H, Humm JL, Scher HI, Larson SM
JournalJ Nucl Med
Volume52
Issue11
Pagination1727-32
Date Published2011 Nov
ISSN1535-5667
KeywordsAutomation, Biomarkers, Tumor, Dihydrotestosterone, Fluorodeoxyglucose F18, Humans, Image Processing, Computer-Assisted, Male, Molecular Imaging, Multimodal Imaging, Orchiectomy, Positron-Emission Tomography, Prostatic Neoplasms, Reference Standards, Retrospective Studies, Tomography, X-Ray Computed
Abstract

UNLABELLED: We propose a standardized approach to quantitative molecular imaging (MI) in cancer patients with multiple lesions.

METHODS: Twenty patients with castration-resistant prostate cancer underwent (18)F-FDG and (18)F-16β-fluoro-5-dihydrotestosterone ((18)F-FDHT) PET/CT scans. Using a 5-point confidence scale, 2 readers interpreted coregistered scan sets on a workstation. Two hundred three sites per scan (specified in a lexicon) were reviewed. (18)F-FDG-positive lesion bookmarks were propagated onto (18)F-FDHT studies and then manually accepted or rejected. Discordance-positive (18)F-FDHT lesions were similarly bookmarked. Lesional SUV(max) was recorded. Tracer- and tissue-specific background correction factors were calculated via receiver-operating-characteristic analysis of 65 scan sets.

RESULTS: Readers agreed on more than 99% of (18)F-FDG- and (18)F-FDHT-negative sites. Positive-site agreement was 83% and 85%, respectively. Consensus-lesion maximum standardized uptake value (SUV(max)) was highly reproducible (concordance correlation coefficient > 0.98). Receiver-operating-characteristic curves yielded 4 correction factors (SUV(max) 1.8-2.6). A novel scatterplot (Larson-Fox-Gonen plot) depicted tumor burden and change in SUV(max) for response assessments.

CONCLUSION: Multilesion molecular imaging is optimized with a 5-step approach incorporating a confidence scale, site lexicon, semiautomated PET software, background correction, and Larson-Fox-Gonen graphing.

DOI10.2967/jnumed.111.089326
Alternate JournalJ Nucl Med
PubMed ID21984797
PubMed Central IDPMC3409842
Grant ListP50 CA086438 / CA / NCI NIH HHS / United States
P50 CA092629 / CA / NCI NIH HHS / United States
P50-CA086438 / CA / NCI NIH HHS / United States
P50-CA92629 / CA / NCI NIH HHS / United States

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065