Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients

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dc.citation.articleNumber618469en_US
dc.citation.journalTitleFrontiers in Artificial Intelligenceen_US
dc.citation.volumeNumber4en_US
dc.contributor.authorBarua, Souptiken_US
dc.contributor.authorElhalawani, Heshamen_US
dc.contributor.authorVolpe, Stefaniaen_US
dc.contributor.authorAl Feghali, Karine A.en_US
dc.contributor.authorYang, Peien_US
dc.contributor.authorNg, Sweet Pingen_US
dc.contributor.authorElgohari, Baheren_US
dc.contributor.authorGranberry, Robin C.en_US
dc.contributor.authorMackin, Dennis S.en_US
dc.contributor.authorGunn, G. Brandonen_US
dc.contributor.authorHutcheson, Katherine A.en_US
dc.contributor.authorChambers, Mark S.en_US
dc.contributor.authorCourt, Laurence E.en_US
dc.contributor.authorMohamed, Abdallah S.R.en_US
dc.contributor.authorFuller, Clifton D.en_US
dc.contributor.authorLai, Stephen Y.en_US
dc.contributor.authorRao, Arvinden_US
dc.date.accessioned2021-11-11T19:30:24Zen_US
dc.date.available2021-11-11T19:30:24Zen_US
dc.date.issued2021en_US
dc.description.abstractOsteoradionecrosis (ORN) is a major side-effect of radiation therapy in oropharyngeal cancer (OPC) patients. In this study, we demonstrate that early prediction of ORN is possible by analyzing the temporal evolution of mandibular subvolumes receiving radiation. For our analysis, we use computed tomography (CT) scans from 21 OPC patients treated with Intensity Modulated Radiation Therapy (IMRT) with subsequent radiographically-proven ≥ grade II ORN, at three different time points: pre-IMRT, 2-months, and 6-months post-IMRT. For each patient, radiomic features were extracted from a mandibular subvolume that developed ORN and a control subvolume that received the same dose but did not develop ORN. We used a Multivariate Functional Principal Component Analysis (MFPCA) approach to characterize the temporal trajectories of these features. The proposed MFPCA model performs the best at classifying ORN vs. Control subvolumes with an area under curve (AUC) = 0.74 [95% confidence interval (C.I.): 0.61–0.90], significantly outperforming existing approaches such as a pre-IMRT features model or a delta model based on changes at intermediate time points, i.e., at 2- and 6-month follow-up. This suggests that temporal trajectories of radiomics features derived from sequential pre- and post-RT CT scans can provide markers that are correlates of RT-induced mandibular injury, and consequently aid in earlier management of ORN.en_US
dc.identifier.citationBarua, Souptik, Elhalawani, Hesham, Volpe, Stefania, et al.. "Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients." <i>Frontiers in Artificial Intelligence,</i> 4, (2021) Frontiers Media S.A.: https://doi.org/10.3389/frai.2021.618469.en_US
dc.identifier.digitalfrai-04-618469en_US
dc.identifier.doihttps://doi.org/10.3389/frai.2021.618469en_US
dc.identifier.urihttps://hdl.handle.net/1911/111653en_US
dc.language.isoengen_US
dc.publisherFrontiers Media S.A.en_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleComputed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patientsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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