P. Therasse, S. Arbuck, and E. Eisenhauer, New Guidelines to Evaluate the Response to Treatment in Solid Tumors, JNCI: Journal of the National Cancer Institute, vol.92, issue.3, pp.205-216, 2000.
DOI : 10.1093/jnci/92.3.205

E. 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, issue.2, pp.228-247, 2009.
DOI : 10.1016/j.ejca.2008.10.026

D. Sullivan, N. Obuchowski, and L. Kessler, Metrology Standards for Quantitative Imaging Biomarkers, Radiology, vol.277, issue.3, pp.813-825, 2015.
DOI : 10.1148/radiol.2015142202

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666097/pdf

S. Kim, J. Ahn, H. Kim, and J. Kim, Is magnetic resonance imaging necessary in isolated greater trochanter fracture? A systemic review and pooled analysis, BMC Musculoskeletal Disorders, vol.36, issue.6, p.395, 2015.
DOI : 10.1016/j.injury.2005.01.024

J. Bogaerts, R. Ford, and D. Sargent, Individual patient data analysis to assess modifications to the RECIST criteria, European Journal of Cancer, vol.45, issue.2, pp.248-260, 2009.
DOI : 10.1016/j.ejca.2008.10.027

C. Suzuki, H. Jacobsson, and T. Hatschek, Radiologic Measurements of Tumor Response to Treatment: Practical Approaches and Limitations, RadioGraphics, vol.28, issue.2, pp.329-344, 2008.
DOI : 10.1148/rg.282075068

R. Lencioni and J. Llovet, Modified RECIST (mRECIST) Assessment for Hepatocellular Carcinoma, Seminars in Liver Disease, vol.30, issue.01, pp.52-60, 2010.
DOI : 10.1055/s-0030-1247132

URL : http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0030-1247132.pdf

I. Desar, C. Van-herpen, and H. Van-laarhoven, Beyond RECIST: Molecular and functional imaging techniques for evaluation of response to targeted therapy, Cancer Treatment Reviews, vol.35, issue.4, pp.309-321, 2009.
DOI : 10.1016/j.ctrv.2008.12.001

M. Nishino, J. Jagannathan, and K. Krajewski, Personalized Tumor Response Assessment in the Era of Molecular Medicine: Cancer-Specific and Therapy-Specific Response Criteria to Complement Pitfalls of RECIST, American Journal of Roentgenology, vol.198, issue.4, pp.737-745, 2012.
DOI : 10.2214/AJR.11.7483

R. Beichel and Y. Wang, Computer-aided lymph node segmentation in volumetric CT data, Medical Physics, vol.26, issue.3, pp.5419-5428, 2012.
DOI : 10.2307/1932409

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3432102/pdf

S. Yoon, K. Kim, and J. Goo, Observer variability in RECIST-based tumour burden measurements: a meta-analysis, European Journal of Cancer, vol.53, pp.5-15, 2016.
DOI : 10.1016/j.ejca.2015.10.014

J. Bartko, The Intraclass Correlation Coefficient as a Measure of Reliability, Psychological Reports, vol.28, issue.1, pp.3-11, 1966.
DOI : 10.1037/11774-000

J. Weir, Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM, J Strength Cond Res, vol.19, pp.231-240, 2005.
DOI : 10.1519/15184.1

C. Suzuki, M. Torkzad, and H. Jacobsson, Interobserver and intraobserver variability in the response evaluation of cancer therapy according to RECIST and WHO-criteria, Acta Oncologica, vol.82, issue.4, pp.509-514, 2010.
DOI : 10.1259/bjr/72829563

W. Guo and Q. Li, Effect of segmentation algorithms on the performance of computerized detection of lung nodules in CT, Medical Physics, vol.17, issue.19, p.91906, 2014.
DOI : 10.1002/(SICI)1097-0258(19981015)17:19<2207::AID-SIM920>3.0.CO;2-Y

P. Therasse, S. Arbuck, and E. Eisenhauer, New Guidelines to Evaluate the Response to Treatment in Solid Tumors, JNCI: Journal of the National Cancer Institute, vol.92, issue.3, pp.205-216, 2000.
DOI : 10.1093/jnci/92.3.205

M. Kekelidze, D. Errico, L. Pansini, and M. , Colorectal cancer: Current imaging methods and future perspectives for the diagnosis, staging and therapeutic response evaluation, World Journal of Gastroenterology, vol.19, issue.46, pp.8502-8514, 2013.
DOI : 10.3748/wjg.v19.i46.8502

URL : http://doi.org/10.3748/wjg.v19.i46.8502

L. Bernardin, O. Flynn, E. Desouza, and N. , Functional imaging biomarkers for assessing response to treatment in liver and lung metastases, Cancer Imaging, vol.13, issue.4, pp.482-494, 2013.
DOI : 10.1102/1470-7330.2013.0047

H. Watanabe, H. Kunitoh, and S. Yamamoto, Effect of the introduction of minimum lesion size on interobserver reproducibility using RECIST guidelines in non-small cell lung cancer patients, Cancer Science, vol.15, issue.3, pp.214-218, 2006.
DOI : 10.1200/JCO.2003.01.144

C. Van-kessel, M. Van-leeuwen, and P. Witteveen, Semi-automatic software increases CT measurement accuracy but not response classification of colorectal liver metastases after chemotherapy, European Journal of Radiology, vol.81, issue.10, pp.2543-2549, 2012.
DOI : 10.1016/j.ejrad.2011.12.026

J. Dinkel, O. Khalilzadeh, and C. Hintze, Inter-observer reproducibility of semi-automatic tumor diameter measurement and volumetric analysis in patients with lung cancer, Lung Cancer, vol.82, issue.1, pp.76-82, 2013.
DOI : 10.1016/j.lungcan.2013.07.006

H. Vargas, H. Delaney, and E. Delappe, Multiphasic contrast-enhanced MRI: Single-slice versus volumetric quantification of tumor enhancement for the assessment of renal clear-cell carcinoma fuhrman grade, Journal of Magnetic Resonance Imaging, vol.103, issue.5, pp.1160-1167, 2013.
DOI : 10.1002/cncr.20812

R. Schoot, K. Mchugh, and R. Van-rijn, Response Assessment in Pediatric Rhabdomyosarcoma: Can Response Evaluation Criteria in Solid Tumors Replace Three-dimensional Volume Assessments?, Radiology, vol.269, issue.3, pp.870-878, 2013.
DOI : 10.1148/radiol.13122607

A. Wulff, M. Fabel, and S. Freitag-wolf, Volumetric response classification in metastatic solid tumors on MSCT: Initial results in a whole-body setting, European Journal of Radiology, vol.82, issue.10, pp.567-573, 2013.
DOI : 10.1016/j.ejrad.2013.05.030