Assessment of the prognostic value of radiomic features in 18F-FMISO PET imaging of hypoxia in postsurgery brain cancer patients: secondary analysis of imaging data from a single-center study and the multicenter ACRIN 6684 trial

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dc.contributor.authorMuzi, Mark
dc.contributor.authorWolsztynski, Eric
dc.contributor.authorFink, James R.
dc.contributor.authorO'Sullivan, Janet N.
dc.contributor.authorO'Sullivan, Finbarr
dc.contributor.authorKrohn, Kenneth A.
dc.contributor.authorMankoff, David A.
dc.contributor.funderNational Institutes of Healthen
dc.contributor.funderNational Cancer Instituteen
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2021-02-22T14:06:18Z
dc.date.available2021-02-22T14:06:18Z
dc.date.issued2020-03-01
dc.date.updated2021-02-22T13:51:52Z
dc.description.abstractHypoxia is associated with resistance to radiotherapy and chemotherapy in malignant gliomas, and it can be imaged by positron emission tomography with 18F-fluoromisonidazole (18F-FMISO). Previous results for patients with brain cancer imaged with 18F-FMISO at a single center before conventional chemoradiotherapy showed that tumor uptake via T/Bmax (tissue SUVmax/blood SUV) and hypoxic volume (HV) was associated with poor survival. However, in a multicenter clinical trial (ACRIN 6684), traditional uptake parameters were not found to be prognostically significant, but tumor SUVpeak did predict survival at 1 year. The present analysis considered both study cohorts to reconcile key differences and examine the potential utility of adding radiomic features as prognostic variables for outcome prediction on the combined cohort of 72 patients with brain cancer (30 University of Washington and 42 ACRIN 6684). We used both 18F-FMISO intensity metrics (T/Bmax, HV, SUV, SUVmax, SUVpeak) and assessed radiomic measures that determined first-order (histogram), second-order, and higher-order radiomic features of 18F-FMISO uptake distributions. A multivariate model was developed that included age, HV, and the intensity of 18F-FMISO uptake. HV and SUVpeak were both independent predictors of outcome for the combined data set (P < .001) and were also found significant in multivariate prognostic models (P < .002 and P < .001, respectively). Further model selection that included radiomic features showed the additional prognostic value for overall survival of specific higher order texture features, leading to an increase in relative risk prediction performance by a further 5%, when added to the multivariate clinical model.en
dc.description.sponsorshipNational Institutes of Health/National Cancer Institute (NIH/NCI R50-CA211270, P01-CA042045, U01-CA079778, U01-CA080098); Science Foundation Ireland (SFI Grants PI 11/1027 and 12/RC/2289-P2)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMuzi, M., Wolsztynski, E., Fink, J. R., O’Sullivan, J. N., O’Sullivan, F., Krohn, K. A. and Mankoff, D. A. (2020) 'Assessment of the Prognostic Value of Radiomic Features in 18F-FMISO PET Imaging of Hypoxia in Postsurgery Brain Cancer Patients: Secondary Analysis of Imaging Data from a Single-Center Study and the Multicenter ACRIN 6684 Trial', Tomography, 6(1), pp. 14-22. doi: 10.18383/j.tom.2019.00023en
dc.identifier.doi10.18383/j.tom.2019.00023en
dc.identifier.endpage22en
dc.identifier.issn2379-139X
dc.identifier.issued1en
dc.identifier.journaltitleTomographyen
dc.identifier.startpage14en
dc.identifier.urihttps://hdl.handle.net/10468/11085
dc.identifier.volume6en
dc.language.isoenen
dc.publisherMDPIen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
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.relation.urihttps://www.mdpi.com/2379-1381/6/1/14
dc.rights© 2020 The Authors. Published by Grapho Publications, LLC This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectFluoromisonidazoleen
dc.subjectACRIN 6684en
dc.subjectBrain canceren
dc.subjectPET imagingen
dc.subjectRadiomicsen
dc.titleAssessment of the prognostic value of radiomic features in 18F-FMISO PET imaging of hypoxia in postsurgery brain cancer patients: secondary analysis of imaging data from a single-center study and the multicenter ACRIN 6684 trialen
dc.typeArticle (peer-reviewed)en
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