{"id":5762,"date":"2023-09-04T03:36:24","date_gmt":"2023-09-04T03:36:24","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-analysis-result\/radiomics-outcome-prediction-in-oropharyngeal-cancer\/"},"modified":"2023-09-13T12:09:20","modified_gmt":"2023-09-13T12:09:20","slug":"radiomics-outcome-prediction-in-oropharyngeal-cancer","status":"publish","type":"tcia_analysis_result","link":"https:\/\/cm.vastapps.dev\/tcia-analysis-result\/radiomics-outcome-prediction-in-oropharyngeal-cancer\/","title":{"rendered":"RADIOMICS-OUTCOME-PREDICTION-IN-OROPHARYNGEAL-CANCER"},"featured_media":0,"template":"","cancer_types":false,"citations":[4770,4771,2925],"full_export":"

Description<\/h2>

This study describes a subset of the HNSCC<\/a>\u00a0collection on TCIA.\u00a0 <\/span><\/p>

There is an unmet need for integrating quantitative imaging biomarkers into current risk stratification tools and\u00a0to explore the correlation between radiomics features \u2013alone or in combination with clinical prognosticators- and tumor outcome.\u00a0 Clinical meta-data and matched baseline contrast-enhanced computed tomography (CECT) scans were used to build a\u00a0cohort of 495 oropharyngeal cancer (OPC) patients\u00a0treated\u00a0between 2005 and 2012.\u00a0\u00a0Expert radiation oncologists manually segmented primary and nodal disease gross volumes (GTVp & GTVn). Structures were named per the American Association of Physicists in Medicine (AAPM) TG-263 recommendations, then retrieved in RT-STRUCT format. Matched patient, disease, treatment and outcomes data were obtained. Radiomics analysis was performed using an open-source institutionally-developed software that runs on Matlab platform.\u00a0 <\/span><\/p>

A related dataset is here: Data from Head and Neck Cancer CT Atlas<\/strong>. DOI: 10.7937\/K9\/TCIA.2017.umz8dv6s<\/a>\u00a0<\/p>

Acknowledgements:<\/span><\/h3>

This research was supported by the Andrew Sabin Family Foundation; Dr. Fuller is a Sabin Family Foundation Fellow. Drs. Mohamed and Fuller receive funding support from the National Institutes of Health (NIH)\/National Institute for Dental and Craniofacial Research (NIDCR) (R01DE025248) and the National Institutes of Health (NIH)\/National Cancer Institute (NCI) (1R01CA214825-01). <\/span><\/p>

Dr. Fuller received\/(s) grant and\/or salary support from the NIH\/NCI Head and Neck Specialized Programs of Research Excellence (SPORE) Developmental Research Program Career Development Award (P50CA097007-10); the NCI Paul Calabresi Clinical Oncology Program Award (K12 CA088084-06); a General Electric Healthcare\/MD Anderson Center for Advanced Biomedical Imaging In-Kind Award;\u00a0 an Elekta AB\/MD Anderson Department of Radiation Oncology Seed Grant; the Center for Radiation Oncology Research (CROR) at MD Anderson Cancer Center Seed Grant; the MD Anderson Institutional Research Grant (IRG) Program; and the NIH\/NCI Cancer Center Support (Core) Grant CA016672 to The University of Texas MD Anderson Cancer Center (P30 CA016672). <\/span><\/p>

Dr. Elhalawani was directly funded in part by a philanthropic gift from the Family of Paul W. Beach given to Dr. Gunn for patient-outcome database construction.<\/span><\/p>

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