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  • The University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM)

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(Download requires the NBIA Data Retriever)

Localtab Group


Localtab
activetrue
titleData Access

Data Access


Data TypeDownload all or Query/FilterLicense
Images and Annotations (
DICOM, XX.X

Images (nifti, zip, 156 GB)

insert link

NIfTI zip, 156 GB)


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Clinical data (CSV)


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urlhttps://wiki.cancerimagingarchive.net/download/attachments/119705830/UCSF-PDGM-metadata.csv?api=v2



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Click the Versions tab for more info about data releases.

Additional Resources for this Dataset

The following external resources have been made available by the data submitters.  These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.

  • Software / Code on Github
  • Genomics data in DbGAP
  • Genomics data in Gene Expression Omnibus



Click the Versions tab for more info about data releases.

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


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

MR

Number of Patients

500

Number of Studies


Number of Series


Number of Images


Images Size (GB)


All image data have been "skull stripped", deidentified, pre-processed per the methods section of our abstract, and converted to NIfTI format. We cannot provide original DICOM data, however, these pre-processed files have been prepared to facilitate the type of research that this dataset is intended for.


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia license 4 international

Info
titleData Citation

DOI goes here. Create using Datacite with information from Collection Approval form


Info
titlePublication Citation

We ask on the proposal form if they have ONE traditional publication they'd like users to cite.The [BLINDED] Preoperative Diffuse Glioma MRI ([BLINDED]-PDGM) Dataset" . Radiology: Artificial Intelligence.  <coming soon>


Info
titleAcknowledgement
  • Research was supported by the National Institutes of Health Ruth L. Kirschstein Institutional National Research Service Award under award number T32EB001631 and
  • by the RSNA Research & Education Foundation under grant number RR2011. The content is solely the responsibility of the authors and does not necessarily represent the official views of the RSNA R&E Foundation.


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

Other Publications Using This Data

  • Calabrese E, Rudie JD, Rauschecker AM, Villanueva-Meyer JE, Cha S. Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower Grade Gliomas Using 3D Fully Convolutional Neural Networks. Radiology: Artificial Intelligence. 2021 May 19;e200276.

  • Calabrese E, Villanueva-Meyer JE, Cha S. A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas. Scientific Reports. 2020 Jul 16;10(1):11852.

TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.


(Requires NBIA Data Retriever.)

Clinical Data
Localtab
titleVersions

Version X (Current): Updated yyyy/mm/dd

Data TypeDownload all or Query/FilterLicense
Images and Annotations (
DICOM, xx.x
NIfTI zip, 156 GB)


Tcia button generator



(Download requires Aspera plugin)

tcia-

button

cc-by-

generator
labelSearch

4


Clinical data (CSV)
Link
Other (format)


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labelSearch
urlhttps://wiki.cancerimagingarchive.net/download/attachments/119705830/UCSF-PDGM-metadata.csv?api=v2



Tcia cc by 4

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