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TCGA-OV-RADIOGENOMICS

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

Cancer Types Location Subjects Related Collections Size Supporting Data Updated
High grade serous ovarian cancer Ovary 93 13.92GB 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

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Collections Used in this Third Party Analysis
Below is a list of the Collections used in these analyses:

Version 1: Updated 2016/08/02

Title Data Type Format Access Points Subjects Studies Series Images 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

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

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Publication Citation

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

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

Collections Used In This Analysis Result

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