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  • Annotations for Chemotherapy and Radiation Therapy in Treating Young Patients With Newly Diagnosed, Previously Untreated, High-Risk Medulloblastoma/PNET (ACNS0332-Tumor-Annotations)

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Summary

This dataset contains image annotations derived from the NCI Clinical Trial "Chemotherapy and Radiation Therapy in Treating Young Patients With Newly Diagnosed, Previously Untreated, High-Risk Medulloblastoma/PNET (ACNS0332)".  This curated dataset provides a comprehensive picture of imaging in pediatric patients with newly diagnosed primitive neuroectodermal tumors throughout their treatment and until any potential relapse. This is the largest known dataset of patients with supratentorial primitive neuroectodermal tumors and pineoblastomas. It is primed for both human and AI software analysis.

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • Hospital/Institution Name city, state, country - Special thanks to First Last Names, degree PhD, MD, etc from the Department of xxxxxx, Additional Names from same location.

  • Continue with any names from additional submitting sites if collection consists of more that one.

Data Access

Data TypeDownload all or Query/Filter

Images, Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB)

<< latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >>


   

(Download requires the NBIA Data Retriever)

Tissue Slide Images (SVS, XX.X GB)


   

Clinical data (CSV)


 

Genomics (web)


 

Click the Versions tab for more info about data releases.

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

Detailed Description

Image Statistics


Modalities


Number of Patients


Number of Studies


Number of Series


Number of Images


Images Size (GB)

<< Add any additional information as needed below. Likely would be something from site. >>


Citations & Data Usage Policy

Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution-NonCommercial 4.0 International License under which it has been published. Attribution should include references to the following citations:

Data Citation

Draft DOI: 10.7937/d8a8-6252

Publication Citation

We ask on the proposal form if they have ONE traditional publication they'd like users to cite.

Acknowledgement

Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal.

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. 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

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.

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

Data TypeDownload all or Query/Filter
Images (DICOM, xx.x GB)


   

(Requires NBIA Data Retriever.)

Clinical Data (CSV)Link
Other (format)


 

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