TCGA-OV-Radiogenomics | Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group
DOI: 10.7937/K9/TCIA.2016.PSJOXM47 | Data Citation Required | Analysis Result
| Location | Subjects | Size | Updated | |||
|---|---|---|---|---|---|---|
| High grade serous ovarian cancer | Ovary | 93 | Radiologist assessments of image features, genomic subtypes | 2016/08/02 |
Summary
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 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.
Data Access
Version 1: Updated 2016/08/02
| Title | Data Type | Format | Access Points | Subjects | License | |||
|---|---|---|---|---|---|---|---|---|
| Images | CT, MR, OT | DICOM | Download requires NBIA Data Retriever |
92 | 147 | 462 | 26,570 | CC BY 3.0 |
| Full Radiologist Assessments of Image Features | CSV | CC BY 3.0 | ||||||
| Consensus Radiologist Assessments of Image Features | CSV | CC BY 3.0 | ||||||
| Clinical data | CSV | CC BY 3.0 | ||||||
| Genomic sub-type data | CSV | CC BY 3.0 |
Citations & Data Usage Policy
Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:
Data Citation |
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Vargas, A., Huang, E., Lakhman, Y., Ippolito, J., Bhosale, P., Mellnick, V., Shinagare, A., Anello, M., Kirby, J., Fevrier-Sullivan, B., Freymann, J., Jaffe, C., & Sala, E. (2016). Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.PSJOXM47 |
Publications Using This Data
TCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you’d like to add please contact the TCIA Helpdesk.
Publication Citation |
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Vargas, H. A., Huang, E. P., Lakhman, Y., Ippolito, J. E., Bhosale, P., Mellnick, V., Shinagare, A. B., Anello, M., Kirby, J., Fevrier-Sullivan, B., Freymann, J., Jaffe, C. C., & Sala, E. (2017). Radiogenomics of High-Grade Serous Ovarian Cancer: Multireader Multi-Institutional Study from the Cancer Genome Atlas Ovarian Cancer Imaging Research Group. Radiology, 285(2), 482-492. https://doi.org/10.1148/radiol.2017161870 |
TCIA Citation |
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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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 |