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  • Radiomics outcome prediction in Oropharyngeal cancer

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Comment: Updated clinical spreadsheet due to errors, per submitting site

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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

Tcia head license access

Images and Radiation Therapy Structures Image Removed 79kB)Image Removed
Data TypeDownload all or Query/FilterLicense
Images - 814 series (DICOM, 51.6 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/display/DOI/Radiomics+outcome+prediction+in+Oropharyngeal+cancer?preview=%2F33948240%2F70222837%2Fmanifest-1585330520084.tcia


(Download requires NBIA Data Retriever)

Tcia restricted license

Clinical Data (CSV, 86 kB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/display/DOI/Radiomics+outcome+prediction+in+Oropharyngeal+cancer?preview=%2F33948240%2F133071076%2FRadiomics_Outcome_Prediction_in_OPC_ASRM_corrected.csv



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


Localtab
titleDetailed Description

Detailed Description

Image StatisticsRadiology

Modalities

CT, RTSTRUCT

Number of Patients

412

Number of Studies

412

Number of Series

814

Number of Images

104,558
Images Size (GB)51.6

Methods

Diagnostic contrast-enhanced computed tomography (CECT) Digital Imaging and Communications in Medicine (DICOM) files prior to any active intervention were collected for 495 OPC patients treated at our institution between 2005 and 2012. Expert radiation oncologists manually segmented primary and nodal disease gross volumes (GTVp & GTVn). Structures were named per the American Association of Physicists in Medicine (AAPM) TG-263 recommendations, then retrieved in RT-STRUCT format. Matched patient, disease, treatment and outcomes data were obtained. Radiomics analysis was performed using an open-source institutionally-developed software that runs on Matlab platform. Links to these can be found in the related publication.

Note from the investigators: Some PET scans will include two PET AC files—one includes the head & neck portion of the exam, the other includes eyes-to-thighs. There is no file naming convention to distinguish between the two, so delineation may require the use of a DICOM viewer.


Localtab
titleCitations & Data Usage Policy

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
titleData Citation

Elhalawani H, White AL, Zafereo J, Wong AJ, Berends JE, AboHashem S, Williams B, Aymard JM, Kanwar A, Perni S, Mulder S, Rock CD, Grossberg A, Mohamed A, Gunn GB, Frank SJ, Rosenthal DI, Garden AS, Fuller CD;  M.D. Anderson Cancer Center Head and Neck Quantitative Imaging Working Group (2018). Radiomics outcome prediction in Oropharyngeal cancer [Dataset]. The Cancer Imaging Archive. DOI: 10.7937/TCIA.2020.2vx6-fy46


Info
titlePublication Citation

Elhalawani, H., Mohamed, A., White, A. et al. Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges. Sci Data 4, 170077 (2017). DOI: 10.1038/sdata.2017.77


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. DOI: 10.1007/s10278-013-9622-7

In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research:

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)

2 (Current) 2022/08/02: 

Data TypeDownload all or Query/Filter
Images - 814 series (DICOM, 51.6 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/display/DOI/Radiomics+outcome+prediction+in+Oropharyngeal+cancer?preview=%2F33948240%2F70222837%2Fmanifest-1585330520084.tcia


(Download requires NBIA Data Retriever)

Clinical Data (CSV, 86 kB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/display/DOI/Radiomics+outcome+prediction+in+Oropharyngeal+cancer?preview=%2F33948240%2F133071076%2FRadiomics_Outcome_Prediction_in_OPC_ASRM_corrected.csv



Corrected version of the clinical data CSV attached, because the investigators noticed an error in some of the durations of the endpoints including the overall survival, local and regional control, and freedom from distant metastasis. The original excel sheet had errors because the formulas to calculate the duration for patients with events were not applied so we fixed this error and now all the durations are correct.

Version 1: 2020/03/31

Data TypeDownload all or Query/Filter
Images - 814 series (DICOM, 51.6 GB)
Image Removed


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/display/DOI/Radiomics+outcome+prediction+in+Oropharyngeal+cancer?preview=%2F33948240%2F70222837%2Fmanifest-1585330520084.tcia


(Download requires NBIA Data Retriever)

Clinical Data (CSV, 79 kB)
Image Removed

(download deprecated)