@article{677b1ae1bd8d4efc882b545a90ffc628,
title = "Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- And PET-imaged head and neck cancer patients",
abstract = "Radiomics studies require many patients in order to power them, thus patients are often combined from different institutions and using different imaging protocols. Various studies have shown that imaging protocols affect radiomics feature values. We examined whether using data from cohorts with controlled imaging protocols improved patient outcome models. We retrospectively reviewed 726 CT and 686 PET images from head and neck cancer patients, who were divided into training or independent testing cohorts. For each patient, radiomics features with different preprocessing were calculated and two clinical variables—HPV status and tumor volume—were also included. A Cox proportional hazards model was built on the training data by using bootstrapped Lasso regression to predict overall survival. The effect of controlled imaging protocols on model performance was evaluated by subsetting the original training and independent testing cohorts to include only patients whose images were obtained using the same imaging protocol and vendor. Tumor volume, HPV status, and two radiomics covariates were selected for the CT model, resulting in an AUC of 0.72. However, volume alone produced a higher AUC, whereas adding radiomics features reduced the AUC. HPV status and one radiomics feature were selected as covariates for the PET model, resulting in an AUC of 0.59, but neither covariate was significantly associated with survival. Limiting the training and independent testing to patients with the same imaging protocol reduced the AUC for CT patients to 0.55, and no covariates were selected for PET patients. Radiomics features were not consistently associated with survival in CT or PET images of head and neck patients, even within patients with the same imaging protocol.",
author = "Ger, {Rachel B.} and Shouhao Zhou and Baher Elgohari and Hesham Elhalawani and Mackin, {Dennis M.} and Meier, {Joseph G.} and Nguyen, {Callistus M.} and Anderson, {Brian M.} and Casey Gay and Jing Ning and Fuller, {Clifton D.} and Heng Li and Howell, {Rebecca M.} and Layman, {Rick R.} and Osama Mawlawi and Stafford, {R. Jason} and Hugo Aerts and Court, {Laurence E.}",
note = "Funding Information: thephilanthropicdonationsfromtheFamilyofPaul W.BeachtoDr.G.BrandonGunn,MD.Drs. ElhalawaniandFullerreceivefundingandproject-relevantsalarysupportfromNIH/NCIHeadand NeckSpecializedProgramsofResearchExcellence (SPORE)DevelopmentalResearchProgramAward (P50CA097007-10).Dr.FullerisaSabinFamily FoundationFellow.Dr.Fullerreceivesfundingand project-relevantsalarysupportfromtheNational InstitutesofHealth(NIH),including:National InstituteforDentalandCraniofacialResearch Award(1R01DE025248-01/R56DE025248-01); NationalCancerInstitute(NCI)EarlyPhaseClinical TrialsinImagingandImage-GuidedInterventions Program(1R01CA218148-01);NationalScience Foundation(NSF),DivisionofMathematical Sciences;NIHBigDatatoKnowledge(BD2K) ProgramoftheNationalCancerInstituteEarly StageDevelopmentofTechnologiesinBiomedical Computing,Informatics,andBigDataScience Award(1R01CA214825-01);andNationalInstitute ofBiomedicalImagingandBioengineering(NIBIB) ResearchEducationProgram(R25EB025787).Dr. Fullerhasreceiveddirectindustrygrantsupport andtravelfundingfromElektaAB.Thefundershad noroleinstudydesign,datacollectionand analysis,decisiontopublish,orpreparationofthe manuscript. Funding Information: This work was supported by NCI Grants R21CA216572 and P30CA016672. Rachel Ger is supported by the Rosalie B. Hite Graduate Fellowship in Cancer Research awarded by MD Anderson Cancer Center UTHealth Science Center at Houston Graduate School of Biomedical Sciences. Dr. Elhalawani was supported in part by the philanthropic donations from the Family of Paul W. Beach to Dr. G. Brandon Gunn, MD. Drs. Elhalawani and Fuller receive funding and project-relevant salary support from NIH/NCI Head and Neck Specialized Programs of Research Excellence (SPORE) Developmental Research Program Award (P50 CA097007-10). Dr. Fuller is a Sabin Family Foundation Fellow. Dr. Fuller receives funding and project-relevant salary support from the National Institutes of Health (NIH), including: National Institute for Dental and Craniofacial Research Award (1R01DE025248-01/R56DE025248-01); National Cancer Institute (NCI) Early Phase Clinical Trials in Imaging and Image-Guided Interventions Program (1R01CA218148-01); National Science Foundation (NSF), Division of Mathematical Sciences; NIH Big Data to Knowledge (BD2K) Program of the National Cancer Institute Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science Award (1R01CA214825-01); and National Institute of Biomedical Imaging and Bioengineering (NIBIB) Research Education Program (R25EB025787). Dr. Fuller has received direct industry grant support and travel funding from Elekta AB. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors would like to acknowledge the Department of Scientific Publications at MD Anderson Cancer Center for editing this article. Publisher Copyright: {\textcopyright} 2019 Ger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2019",
month = sep,
day = "1",
doi = "10.1371/journal.pone.0222509",
language = "English (US)",
volume = "14",
journal = "PloS one",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "9",
}