Spatially coherent modeling of 3D FDG-PET data for assessment of intratumoral heterogeneity and uptake gradients

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dc.contributor.authorWolsztynski, Eric
dc.contributor.authorO'Sullivan, Finbarr
dc.contributor.authorEary, Janet F.
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.contributor.funderNational Institutes of Healthen
dc.contributor.funderNational Cancer Instituteen
dc.date.accessioned2022-07-29T10:45:33Z
dc.date.available2022-07-29T10:45:33Z
dc.date.issued2022-07-01
dc.date.updated2022-07-29T09:22:57Z
dc.description.abstractPurpose: Radiomics have become invaluable for non-invasive cancer patient risk prediction, and the community now turns to exogenous assessment, e.g., from genomics, for interpretability of these agnostic analyses. Yet, some opportunities for clinically interpretable modeling of positron emission tomography (PET) imaging data remain unexplored, that could facilitate insightful characterization at voxel level. Approach: Here, we present a novel deformable tubular representation of the distribution of tracer uptake within a volume of interest, and derive interpretable prognostic summaries from it. This data-adaptive strategy yields a 3D-coherent and smooth model fit, and a profile curve describing tracer uptake as a function of voxel location within the volume. Local trends in uptake rates are assessed at each voxel via the calculation of gradients derived from this curve. Intratumoral heterogeneity can also be assessed directly from it. Results: We illustrate the added value of this approach over previous strategies, in terms of volume rendering and coherence of the structural representation of the data. We further demonstrate consistency of the implementation via simulations, and prognostic potential of heterogeneity and statistical summaries of the uptake gradients derived from the model on a clinical cohort of 158 sarcoma patients imaged with F18-fluorodeoxyglucose-PET, in multivariate prognostic models of patient survival. Conclusions: The proposed approach captures uptake characteristics consistently at any location, and yields a description of variations in uptake that holds prognostic value complementarily to structural heterogeneity. This creates opportunities for monitoring of local areas of greater interest within a tumor, e.g., to assess therapeutic response in avid locations.en
dc.description.sponsorshipScience Foundation Ireland (12/RC/2289-P2) National Institutes of Health / National Cancer Institute (Grant No. ROI-CA-65537)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid045003en
dc.identifier.citationWolsztynski, E., O'Sullivan, F. and Eary, J. F. (2022) 'Spatially coherent modeling of 3D FDG-PET data for assessment of intratumoral heterogeneity and uptake gradients', Journal of Medical Imaging, 9(4), 045003 (20pp). doi: 10.1117/1.JMI.9.4.045003en
dc.identifier.doi10.1117/1.JMI.9.4.045003en
dc.identifier.endpage20en
dc.identifier.issn2329-4310
dc.identifier.issued4en
dc.identifier.journaltitleJournal of Medical Imagingen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/13434
dc.identifier.volume9en
dc.language.isoenen
dc.publisherSPIEen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Principal Investigator Programme (PI)/11/PI/1027/IE/Statistical Methods for Molecular Imaging of Cancer with PET/en
dc.rightsCopyright 2022, Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en
dc.subjectHeterogeneityen
dc.subjectUptake gradienten
dc.subjectPositron emission tomographyen
dc.subjectSarcomaen
dc.subjectSpatial statisticsen
dc.subjectTumor characterizationen
dc.titleSpatially coherent modeling of 3D FDG-PET data for assessment of intratumoral heterogeneity and uptake gradientsen
dc.typeArticle (peer-reviewed)en
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