Radiomics for Tumor Grading of Soft Tissue Sarcomas.
NCT03798795 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 285
Last updated 2019-04-10
Summary
Radiomics is defined as a quantitative high-throughput analysis of imaging data combined with model development aiming to predict biological correlates or clinical endpoints. The investigators of this study hypothesize that radiomic features may correlate with pathology-defined tumor grading in soft tissue sarcoma patients. The aim of this study is to develop a predictive radiomics model for tumor grading determination.
Conditions
- Sarcoma, Soft Tissue
Sponsors & Collaborators
- collaborator OTHER
-
Technical University of Munich
lead OTHER
Principal Investigators
-
Stephanie E Combs, MD · Technical University of Munich
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2017-10-01
- Primary Completion
- 2018-03-31
- Completion
- 2019-03-01
Countries
- Germany
Study Locations
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