{"id":5610,"date":"2023-09-04T03:12:23","date_gmt":"2023-09-04T03:12:23","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/hnscc\/"},"modified":"2023-09-13T11:59:38","modified_gmt":"2023-09-13T11:59:38","slug":"hnscc","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/hnscc\/","title":{"rendered":"HNSCC"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Head And Neck Squamous Cell Carcinoma"],"citations":[4497,4498,4499,2925],"collection_doi":"10.7937\/k9\/tcia.2020.a8sh-7363","collection_download_info":"Some data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement<\/a> to help@cancerimagingarchive.net<\/a> before accessing the data.\n\nPlease contact help@cancerimagingarchive.net<\/a>\u00a0 with any questions.","collection_downloads":[5069,5070,5071,5072],"full_export":"

Summary<\/h2>

This collection contains imaging, radiation therapy, and clinical data from 627 head and neck squamous cell carcinoma (HNSCC) patients\u00a0<\/span>at MD Anderson Cancer Center.\u00a0 Researchers at MDACC analyzed these patients' data as part of two separate research projects.\u00a0 70 of the patients<\/a> were selected for inclusion in\u00a0both projects. This collection provides access to all data for the full set of patients involved in both projects.\u00a0 Download options for the individual studies are available by following the links in each project description below.<\/span><\/p>

The first project screened\u00a02840 consecutive patients with HNSCC treated with curative-intent RT at MD Anderson Cancer Center from 2003 to 2013.\u00a0<\/span>Patients with whole-body PET-CT or abdominal CT scans both before and after RT (n=215) were selected for the cohort.\u00a0 De-identified diagnostic imaging, radiation treatment planning, and follow up imaging are provided. Using cross sectional imaging, total body skeletal muscle and adipose content were calculated before and after treatment.\u00a0\u00a0All imaging data are subject- and date-matched to clinical data from each patient, including demographics, risk factors, grade, stage, recurrence, and survival.\u00a0Open access to these data allows for inter-institutional comparisons of complete RT details in non-randomized patient populations, allowing for a more granular understanding of three dimensional factors that influence treatment effectiveness and toxicity sparing.\u00a0 More information about this study and links to download the corresponding patient\u00a0subset of this collection including clinical data can be found in the\u00a0"Data from Head and Neck Cancer CT Atlas"<\/a>\u00a0dataset.<\/span><\/p>

The second project was intended to address the\u00a0unmet 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\u00a0More information about this study and links to download the corresponding patient\u00a0subset of this collection including clinical data can be found in the "Radiomics outcome prediction in Oropharyngeal cancer<\/a>" dataset.<\/span><\/p>

Acknowledgements<\/span>:<\/span><\/strong><\/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). 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). 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>