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  • Integration of CT-based Qualitative and Radiomic Features with Proteomic Variables in Patients with High-Grade Serous Ovarian Cancer: An Exploratory Analysis

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Localtab Group



Localtab
activetrue
titleData Access

Data Access

Click the Download  button to save a ".tcia" manifest file to your computer, which you must open with the  NBIA Data Retriever


Data TypeDownload all or Query/Filter
Images (DICOM, 3 GB)

(Requires  NBIA Data Retriever )

Image Analyses, Proteogenomic features, and Clinical data (CSV)

Image Segmentation LabelsComing Soon


Note:   Please contact help@cancerimagingarchive.net  with any questions regarding usage.




Localtab
titleDetailed Description

Detailed Description





Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Public collection license

Info
titleData Citation

Lucian Beer, Hilal Sahin,  Ivana Blazic, Hebert Alberto Vargas, Harini Veeraraghavan,  Justin Kirby, Brenda Fevrier-Sullivan, John Freymann, Carl Jaffe, Thomas Conrads, George Maxwell, Kathleen Darcy, Erich Huang, Evis Sala. (2019) Data from Integration of CT-based Qualitative and Radiomic Features with Proteomic Variables in Patients with High-Grade Serous Ovarian Cancer: An Exploratory Analysis. DOI: 10.7937/TCIA.2019.9stoinf1




Info
titlePublication Citation

Beer, L., Sahin, H., Bateman, N.W.  et al.  Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis.  Eur Radiol  (2020). https://doi.org/10.1007/s00330-020-06755-3




Info
titleTCIA 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. 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 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.




Localtab
titleVersions

Version 1 (Current): 2020/04/06


Data TypeDownload all or Query/Filter
Images (DICOM, 3 GB)

(Requires  NBIA Data Retriever )

Image Analyses, Proteogenomic features, and Clinical data (CSV)

Image Segmentation LabelsComing Soon