M. Saponara, S. Stacchiotti, P. G. Casali, and A. Gronchi, Neo)adjuvant treatment in localised soft tissue sarcoma: The unsolved affair, European Journal of Cancer, vol.70, pp.1-11, 2017.

A. Gronchi, S. Ferrari, and V. Quagliuolo, Histotype-tailored neoadjuvant chemotherapy versus standard chemotherapy in patients with high-risk soft-tissue sarcomas (ISG-STS 1001): an international, open-label, randomised, controlled, phase 3, multicentre trial. The Lancet Oncology, vol.18, pp.812-822, 2017.

R. D. Issels, L. H. Lindner, and J. Verweij, Neo-adjuvant chemotherapy alone or with regional hyperthermia for localised high-risk soft-tissue sarcoma: a randomised phase 3 multicentre study, The Lancet Oncology, vol.11, pp.561-570, 2010.

E. A. Eisenhauer, P. Therasse, and J. Bogaerts, New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1), European Journal of Cancer, vol.45, pp.228-247, 2009.

P. Lambin, R. Leijenaar, and T. M. Deist, Radiomics: the bridge between medical imaging and personalized medicine, Nat Rev Clin Oncol, vol.14, pp.749-762, 2017.

E. J. Limkin, R. Sun, and L. Dercle, Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology, Ann Oncol, vol.28, pp.1191-1206, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01648559

R. J. Gillies, P. E. Kinahan, and H. Hricak, Radiomics: Images Are More than Pictures, They Are Data, Radiology, vol.278, pp.563-577, 2016.

H. Aerts, The Potential of Radiomic-Based Phenotyping in Precision Medicine: A Review, JAMA Oncol, vol.2, pp.1636-1642, 2016.

V. Corino, E. Montin, and A. Messina, Radiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions, J Magn Reson Imaging, vol.47, pp.829-840, 2018.

K. Hayano, F. Tian, and A. R. Kambadakone, Texture Analysis of Non-Contrast-Enhanced Computed Tomography for Assessing Angiogenesis and Survival of Soft Tissue Sarcoma, J Comput Assist Tomogr, vol.39, pp.607-612, 2015.

F. Tian, K. Hayano, A. R. Kambadakone, and D. V. Sahani, Response assessment to neoadjuvant therapy in soft tissue sarcomas: using CT texture analysis in comparison to tumor size, density, and perfusion, Abdom Imaging, vol.40, pp.1705-1712, 2015.

J. F. Eary, F. O'sullivan, O. 'sullivan, J. , and C. Eu, Spatial heterogeneity in sarcoma 18F-FDG uptake as a predictor of patient outcome, J Nucl Med, vol.49, pp.1973-1979, 2008.

M. Vallières, C. R. Freeman, and S. R. Skamene, El Naqa I. A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities, Phys Med Biol, vol.60, pp.5471-5496, 2015.

M. Trojani, G. Contesso, J. M. Coindre, and C. Lagarde, Soft-tissue sarcomas of adults

, study of pathological prognostic variables and definition of a histopathological grading system, Int J Cancer, vol.33, issue.1, pp.37-42, 1984.

E. Wardelmann, R. L. Haas, and J. Bovée, Evaluation of response after neoadjuvant treatment in soft tissue sarcomas; the European Organization for Research and Treatment of Cancer-Soft Tissue and Bone Sarcoma Group (EORTC-STBSG) recommendations for pathological examination and reporting, European Journal of Cancer, vol.53, pp.84-95, 2016.

S. Cousin, A. Crombe, and E. Stoeckle, Clinical, radiological and genetic features, associated with the histopathologic response to neoadjuvant chemotherapy (NAC) and outcomes in locally advanced soft tissue sarcoma (STS) patients (pts), J Clin Oncol, vol.35, pp.11014-11014, 2017.

N. J. Tustison, B. B. Avants, and P. A. Cook, N4ITK: improved N3 bias correction, IEEE Trans Med Imaging, vol.29, pp.1310-1320, 2010.

L. G. Nyúl, J. K. Udupa, and X. Zhang, New variants of a method of MRI scale standardization, IEEE Trans Med Imaging, vol.19, pp.143-150, 2000.

T. S. Yoo, M. J. Ackerman, and W. E. Lorensen, Engineering and algorithm design for an image processing Api: a technical report on ITK--the Insight Toolkit, Stud Health Technol Inform, vol.85, pp.586-592, 2002.

F. Pedregosa, G. Varoquaux, and A. Gramfort, Scikit-learn: Machine Learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

S. Stacchiotti, P. Verderio, and A. Messina, Tumor response assessment by modified Choi criteria in localized high-risk soft tissue sarcoma treated with chemotherapy, Cancer, vol.118, pp.5857-5866, 2012.

S. Stacchiotti, P. Collini, and A. Messina, High-grade soft-tissue sarcomas: tumor response assessment-pilot study to assess the correlation between radiologic and pathologic response by using RECIST and Choi criteria, Radiology, vol.251, pp.447-456, 2009.

A. Crombé, L. Loarer, F. Kind, and M. , High-grade soft-tissue sarcoma: optimizing injection improves MRI evaluation of tumor response, Eur Radiol, 2018.

T. Soldatos, S. Ahlawat, and L. M. Fayad, Multiparametric assessment of treatment response in high-grade soft-tissue sarcomas with anatomic and functional MR imaging sequences, Radiology, vol.278, pp.831-840, 2015.

M. R. Benz, M. S. Allen-auerbach, and F. C. Eilber, Combined assessment of metabolic and volumetric changes for assessment of tumor response in patients with soft-tissue sarcomas, J Nucl Med, vol.49, pp.1579-1584, 2008.

M. R. Benz, J. Czernin, and M. S. Allen-auerbach, FDG-PET/CT imaging predicts histopathologic treatment responses after the initial cycle of neoadjuvant chemotherapy in high-grade soft-tissue sarcomas, Clin Cancer Res, vol.15, pp.2856-2863, 2009.

S. L. Hanna, B. D. Fletcher, D. M. Parham, and M. F. Bugg, Muscle edema in musculoskeletal tumors: MR imaging characteristics and clinical significance, J Magn Reson Imaging, vol.1, pp.441-449, 1991.

L. M. White, J. S. Wunder, and R. S. Bell, Histologic assessment of peritumoral edema in soft tissue sarcoma, Int J Radiat Oncol Biol Phys, vol.61, pp.1439-1445, 2005.

F. Zhao, S. Ahlawat, and S. J. Farahani, Can MR imaging be used to predict tumor grade in soft-tissue sarcoma?, Radiology, vol.272, pp.192-201, 2014.

J. M. Coindre, P. Terrier, and G. Contesso, Prognostic factors in adult patients with locally controlled soft tissue sarcoma. A study of 546 patients from the French Federation of Cancer Centers Sarcoma Group, J Clin Oncol, vol.14, pp.869-77, 1996.