DOI
Authors
Alberto Vargas, Erich Huang, Yulia Lakhman, Joe Ippolito, Priya Bhosale, Vincent Mellnick, Atul Shinagare, Maria Anello, Justin Kirby, Brenda Fevrier-Sullivan, John Freymann, Carl Jaffe, Evis Sala
Citation
Description
Abstract:
This study was a multi-reader, multi-institutional, IRB-approved retrospective analysis of 93 HGSOC patients with abdominal and pelvic CT scans prior to primary debulking that were available through The Cancer Imaging Archive (TCIA). Eight radiologists from The Cancer Genome Atlas-Ovarian Cancer (TCGA-OV) Imaging Research Group developed and subsequently independently recorded the following CT features in each patient: primary ovarian mass(es) characteristics (if present), presence and distribution of peritoneal tumor spread, lymphadenopathy, and distant metastases. Inter-observer agreement for the CT features was assessed, as were associations of these features with time-to-disease progression (TTP) and CLOVAR subtypes and abilities of combinations of these features to predict TTP and CLOVAR subtypes. Results of analyzing this data are published in a manuscript
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A related paper is in the final stages of preparation for submission. Please restrict page access to CIP/UAMS for now and I will make it public when the paper is published.
titled Radiogenomics of High-Grade Serous Ovarian Cancer: Multi- Reader Multi-Institutional Study from The Cancer Genome Atlas-Ovarian Cancer (TCGA-OV) Imaging Research Group.
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title | Data Access |
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Images (DICOM) | | Full Radiologist Assessments of Image Features (CSV) | | Consensus Radiologist Assessments of Image Features (CSV) | | Clinical data (CSV) | | Genomic sub-type data (CSV) | |
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title | Detailed Description |
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| Detailed Description
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work: Info |
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| Vargas, Alberto; Huang, Erich; Lakhman, Yulia; Ippolito, Joe; Bhosale, Priya; Mellnick, Vincent; Shinagare, Atul; Anello, Maria; Kirby, Justin; Fevrier-Sullivan, Brenda; Freymann, John; Jaffe, Carl; Sala, Evis,. (2016). Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2016.PSJOXM47 |
Info |
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title | Publication Citation |
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| Vargas HA, Huang EP, Lakhman Y, Ippolito JE, Bhosale P, Mellnick V, Shinagare AB, Anello M, Kirby J, Fevrier-Sullivan B, Freymann J, Jaffe CC, Sala E. Radiogenomics of High-Grade Serous Ovarian Cancer: Multireader Multi-Institutional Study from the Cancer Genome Atlas Ovarian Cancer Imaging Research Group. Radiology. 2017 Jun 22:161870. doi: 10.1148/radiol.2017161870. (link) |
Info |
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| Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper) |
Other Publications Using This DataTCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
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| Version 1 (Current): 2016/08/02Data Type | Download all or Query/Filter |
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Images (DICOM) | | Full Radiologist Assessments of Image Features (CSV) | | Consensus Radiologist Assessments of Image Features (CSV) | | Clinical data (CSV) | | Genomic sub-type data (CSV) | |
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TCGA Ovarian Research Group Data (no URL link yet?)
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