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Data Descriptor: Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges

  1. Author:
    Elhalawani, Hesham
    Mohamed, Abdallah S. R.
    White, Aubrey L.
    Zafereo, James
    Wong, Andrew J.
    Berends, Joel E.
    AboHashem, Shady
    Williams, Bowman
    Aymard, Jeremy M.
    Kanwar, Aasheesh
    Perni, Subha
    Rock, Crosby D.
    Cooksey, Luke
    Campbell, Shauna
    Ding, Yao
    Lai, Stephen Y.
    Marai, Elisabeta G.
    Vock, David
    Canahuate, Guadalupe M.
    Freymann, John
    Farahani, Keyvan
    Kalpathy-Cramer, Jayashree
    Fuller, Clifton D.

  2. Author Address

    Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, Houston, TX 77030 USA.Univ Alexandria, Dept Clin Oncol, Alexandria 21527, Egypt.Univ Texas Hlth Sci Ctr Houston UTHealth, McGovern Med Sch, Houston, TX 77030 USA.Univ Texas Hlth Sci Ctr, San Antonio, TX 78229 USA.Harvard Med Sch, Dept Cardiol, Boston, MA 02115 USA.Massachusetts Gen Hosp, Boston, MA 02115 USA.Furman Univ, Greenville, SC 29613 USA.Abilene Christian Univ, Abilene, TX 79601 USA.Texas Tech Univ Hlth Sci Ctr Sch Med, Lubbock, TX 79905 USA.Columbia Coll Phys & Surg, New York, MA 10032 USA.Texas Tech Hlth Sci Ctr El Paso, Paul L Foster Sch Med, El Paso, TX 79905 USA.Cleveland Clin Fdn, Dept Radiat Oncol, 9500 Euclid Ave, Cleveland, OH 44124 USA.Univ Texas MD Anderson Canc Ctr, Dept Imaging Phys, Houston, TX 77030 USA.Univ Texas MD Anderson Canc Ctr, Dept Head & Neck Surg, Houston, TX 77030 USA.Univ Illinois, Dept Comp Sci, Chicago, IL 60607 USA.Univ Minnesota Publ Hlth, Dept Biostat, Minneapolis, MN 55455 USA.Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA.Leidos Biomed Res Inc, Frederick Natl Lab Canc Res, Frederick, MD 21701 USA.Johns Hopkins Med Inst, Russell H Morgan Dept Radiol & Radiol Sci, Baltimore, MD 21287 USA.NIH, Natl Canc Inst, Bldg 10, Bethesda, MD 20892 USA.Massachusetts Gen Hosp, Dept Radiol, Boston, MA 02115 USA.Massachusetts Gen Hosp, Athinoula Martinos Ctr Biomed Imaging, Boston, MA 02115 USA.Harvard Med Sch, Boston, MA 02115 USA.Univ Texas, Grad Sch Biomed Sci, Med Phys Program, Houston, TX 77030 USA.
    1. Year: 2017
    2. Date: Jul 04
  2. Journal: SCIENTIFIC DATA
  3. NATURE PUBLISHING GROUP,
    1. 4
  5. Type of Article: Article
  6. Article Number: 170077
  7. ISSN: 2052-4463
  1. Abstract:

    Cancers arising from the oropharynx have become increasingly more studied in the past few years, as they are now epidemic domestically. These tumors are treated with definitive (chemo) radiotherapy, and have local recurrence as a primary mode of clinical failure. Recent data suggest that 'radiomics', or extraction of image texture analysis to generate mineable quantitative data from medical images, can reflect phenotypes for various cancers. Several groups have shown that developed radiomic signatures, in head and neck cancers, can be correlated with survival outcomes. This data descriptor defines a repository for head and neck radiomic challenges, executed via a Kaggle in Class platform, in partnership with the MICCAI society 2016 annual meeting. These public challenges were designed to leverage radiomics and/or machine learning workflows to discriminate HPV phenotype in one challenge (HPV status challenge) and to identify patients who will develop a local recurrence in the primary tumor volume in the second one (Local recurrence prediction challenge) in a segmented, clinically curated anonymized oropharyngeal cancer (OPC) data set.

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External Sources

  1. View Full Text
  2. DOI: 10.1038/sdata.2017.77
  3. View record in Web of Science®
  4. WOS: 000405028400001

Library Notes

  1. Fiscal Year: FY2016-2017
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