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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

In this study, a cohort of 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 was retrospectively evaluated. During the follow-up period, 19 patients developed lung metastases. Patients with metastatic and/or recurrent STSs at presentation were excluded from the study. All patients had pre-treatment FDG-PET/CT and MRI scans between November 2004 and November 2011. (Note: dates date in the TCIA images have been changed in the interest of subject de-identification; the same change was applied across all images, preserving the time interval intervals between serial scans).  See DOI (below) for complete details.. 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, 00(0), xxx-yyy. (link)

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

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