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  • A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities (Soft-tissue-Sarcoma)

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Summary

This collection contains FDG-PET/CT and anatomical MR (T1-weighted, T2-weighted with fat-suppression) imaging data from 51 patients with histologically proven soft-tissue sarcomas (STSs) of the extremities. All patients had pre-treatment FDG-PET/CT and MRI scans between November 2004 and November 2011. (Note: date in the TCIA images have been changed in the interest of de-identification; the same change was applied across all images, preserving the time intervals between serial scans). During the follow-up period, 19 patients developed lung metastases. Imaging data and lung metastases development status were used in the following study:

Vallières, M. et al. (2015). A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities. Physics in Medicine and Biology, 60(14), 5471-5496. doi:10.1088/0031-9155/60/14/5471.

Imaging data, tumor contours (RTstruct DICOM objects), clinical data and source code is available for this study. See the DOI below for more details and links to access the whole dataset. Please contact Martin Vallières (mart.vallieres@gmail.com) of the Medical Physics Unit of McGill University for any scientific inquiries about this dataset.

Acknowledgements

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

  • McGill University, Montreal, Canada 

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DOI

http://dx.doi.org/10.7937/K9/TCIA.2015.7GO2GSKS

 

 You can view and download these images on TCIA by clicking Image Removed and selecting the Soft-tissue-Sarcoma collection.

 

 

  • - Special thanks to Martin Vallières of the Medical Physics Unit

 

Localtab Group
Localtab
activetrue
titleData Access

Data Access

Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection option.

Data TypeDownload all or Query/Filter
Images (DICOM, 9.9GB)Image Added Image Added

Click the Versions tab for more info about data releases.

Localtab
titleDetailed Description

Detailed Description

Collection Statistics

Updated 06/01/2015

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Collection Statistics

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If you are unsure how to download this collection, please view Searching by Collection or refer to TCIA's User's Guide for more detailed instructions on using the site.

Related Data

Clinical data and source code; see DOI link (above).

Acknowledgements

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

  • McGill University, Montreal, Canada - Special thanks to Martin Vallières of the Medical Physics Unit

...

Modalities

FDG-PET/CT, MR, RTSTRUCT

Number of Patients

51

Number of Studies

102

Number of Series

612

Number of Images

38,283

Images Size (GB)9.9

Note:  the images contain no private-vendor DICOM tags.

 

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Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to include the following citations in your work if you use this data set:

Info
titleSoft-tissue-Sarcoma Citation

The Cancer Imaging Archive Team. Data From Soft-tissue-Sarcoma. doi:10.7937/K9/TCIA.2015.O7UOJATQ

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 which leverage our data. At this time we are not aware of any publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.

Localtab
titleVersions

Version 1 (Current): Updated 2015/06/01

Data TypeDownload all or Query/Filter
Images (DICOM, 9.9GB)Image Added Image Added