Tumor grading of soft tissue sarcomas using MRI-based radiomics
Open Access
- 1 October 2019
- journal article
- research article
- Published by Elsevier BV in EBioMedicine
- Vol. 48, 332-340
- https://doi.org/10.1016/j.ebiom.2019.08.059
Abstract
No abstract availableKeywords
Funding Information
- Medical Faculty of the Technical University of Munich
- Deutsches Konsortium für translationale Krebsforschung
- Partner Site Munich
This publication has 34 references indexed in Scilit:
- Textural analysis of pre-therapeutic [18F]-FET-PET and its correlation with tumor grade and patient survival in high-grade gliomasEuropean Journal of Nuclear Medicine and Molecular Imaging, 2015
- A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremitiesPhysics in Medicine & Biology, 2015
- Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD StatementEuropean Urology, 2015
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approachNature Communications, 2014
- 3D Slicer as an image computing platform for the Quantitative Imaging NetworkMagnetic Resonance Imaging, 2012
- The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNMAnnals of Surgical Oncology, 2010
- Estimation and Comparison of Receiver Operating Characteristic CurvesThe Stata Journal: Promoting communications on statistics and Stata, 2009
- Outcomes for Soft-Tissue Sarcoma in 8249 Cases from a Large State Cancer RegistryJournal of Surgical Research, 2007
- Decision Curve Analysis: A Novel Method for Evaluating Prediction ModelsMedical Decision Making, 2006
- Soft‐tissue sarcomas of adults; study of pathological prognostic variables and definition of a histopathological grading systemInternational Journal of Cancer, 1984