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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.

 

DOI

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

 

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

 

 

Collection Statistics

(updated 2015/06/01)

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.

 

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

 

 

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