Diffusion-weighted MR Imaging in the Head and Neck, Radiology, vol.263, issue.1, pp.19-32 ,
DOI : 10.1148/radiol.11101821
Diffusionweighted MR for differentiation of breast lesions at 3.0 T: how does selection of diffusion protocols affect diagnosis? Radiology, pp.341-51, 2009. ,
WHO classification of soft tissue tumours: an update based on the 2013 (4th) edition. Pathology (Phila) 2014 Feb, pp.95-104 ,
Diffusion-Weighted Imaging of Breast Masses: Comparison of Diagnostic Performance Using Various Apparent Diffusion Coefficient Parameters, American Journal of Roentgenology, vol.198, issue.3, pp.717-739, 2012. ,
DOI : 10.2214/AJR.11.7093
Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability, Eur Radiol, vol.21, issue.12, pp.2567-74, 2011. ,
Diffusion-weighted imaging of soft tissue tumors: usefulness of the apparent diffusion coefficient for differential diagnosis, Radiation Medicine, vol.43, issue.5, pp.287-95, 2008. ,
DOI : 10.1161/01.STR.23.5.746
ADC, en utilisant l'histologie comme gold standard. L'aire sous la courbe était de 0,74 pour l'ADCmin calculé par méthode manuelle, 0,61 pour l'ADCavg calculé par méthode manuelle, 0,68 pour l'ADCmin calculé avec la méthode semi-automatique et 0,63 pour l'ADCavg calculé avec la méthode semi, p.-automatique ,
ADCavg était inférieure, quelle que soit la méthode utilisée ,
ADCavg a montré une sensibilité et une spécificité de 58-63% et 53-56% pour la différenciation bénin/malin, tandis qu'avec la méthode semiautomatique , la sensibilité et la spécificité étaient de 54-62% et 60%. La PPV, la NPV et la précision de l'ADCmin et de l'ADCavg calculés selon la méthode semi-automatique étaient similaires, pp.40-48 ,
Differentiating Benign and Malignant Soft Tissue Masses by Magnetic Resonance Imaging: Role of Tissue Component Analysis, Journal of the Chinese Medical Association, vol.72, issue.4, pp.194-201, 2009. ,
DOI : 10.1016/S1726-4901(09)70053-X
Advanced Magnetic Resonance Imaging Techniques in the Evaluation of Musculoskeletal Tumors, Radiologic Clinics of North America, vol.49, issue.6, 2011. ,
DOI : 10.1016/j.rcl.2011.07.014
Are signal intensity and homogeneity useful parameters for distinguishing between benign and malignant soft tissue masses on MR images?, Magnetic Resonance Imaging, vol.26, issue.9, pp.1316-1338, 2008. ,
DOI : 10.1016/j.mri.2008.02.013
The value of diffusion-weighted imaging for monitoring the chemotherapeutic response of osteosarcoma: a comparison between average apparent diffusion coefficient and minimum apparent diffusion coefficient, Skeletal Radiology, vol.49, issue.2, pp.141-147, 2010. ,
DOI : 10.1148/radiology.182.3.1535905
Diffusion-weighted MRI of soft tissue tumours, European Radiology, vol.14, issue.6, pp.959-63, 2004. ,
DOI : 10.1007/s00330-004-2237-0
Confronto tra la risonanza magnetica (RM) con sequenze spin echo planar diffusion (DWI) e istologia nella prima diagnosi dei tumori dei tessuti molli, La radiologia medica, vol.21, issue.4, 2011. ,
DOI : 10.1016/j.clon.2009.07.016
Musculoskeletal Tumors: How to Use Anatomic, Functional, and Metabolic MR Techniques, Radiology, vol.265, issue.2, p.2012 ,
DOI : 10.1148/radiol.12111740
URL : http://europepmc.org/articles/pmc3480818?pdf=render
Usefulness of diffusion-weighted imaging for differentiating between desmoid tumors and malignant soft tissue tumors, Journal of Magnetic Resonance Imaging, vol.22, issue.1, pp.189-93, 2011. ,
DOI : 10.1148/radiology.161.2.3763909
Soft-tissue tumors evaluated by line-scan diffusion-weighted imaging: Influence of myxoid matrix on the apparent diffusion coefficient, Journal of Magnetic Resonance Imaging, vol.43, issue.6, pp.1199-204, 2007. ,
DOI : 10.1148/radiology.206.1.9423677
Diffusion-weighted MRI in the characterization of soft-tissue tumors, Journal of Magnetic Resonance Imaging, vol.10, issue.3, pp.302-309, 2002. ,
DOI : 10.1002/(SICI)1522-2586(199909)10:3<223::AID-JMRI2>3.0.CO;2-S
Tumors in Pediatric Patients at Diffusion-weighted MR Imaging: Apparent Diffusion Coefficient and Tumor Cellularity, Radiology, vol.245, issue.3, pp.848-54, 2007. ,
DOI : 10.1148/radiol.2452061535
The clinical value of diffusion-weighted imaging in combination with T2-weighted imaging in diagnosing prostate carcinoma: a systematic review and meta-analysis):103?10. 14. ? y S K k ç E ç kç M ? ? S kp t N Orh I b ty ut ty of diffusion-weighted MRI with different b values in the evaluation of benign and malignant renal lesions, Ajr Am J Roentgenol. 2012 Clin Radiol, vol.19966, issue.15, pp.420-425, 2011. ,
Diffusion-weighted MR Imaging in the Head and Neck, Radiology, vol.263, issue.1, pp.19-32 ,
DOI : 10.1148/radiol.11101821
Diffusionweighted MR for differentiation of breast lesions at 3.0 T: how does selection of diffusion protocols affect diagnosis? Radiology, pp.341-51, 2009. ,
WHO classification of soft tissue tumours: an update based on the 2013 (4th) edition. Pathology (Phila) 2014 Feb, pp.95-104 ,
Diffusion-Weighted Imaging of Breast Masses: Comparison of Diagnostic Performance Using Various Apparent Diffusion Coefficient Parameters, American Journal of Roentgenology, vol.198, issue.3, pp.717-739, 2012. ,
DOI : 10.2214/AJR.11.7093
Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability, Eur Radiol, vol.21, issue.12, pp.2567-74, 2011. ,
Diffusion-weighted imaging of soft tissue tumors: usefulness of the apparent diffusion coefficient for differential diagnosis, Radiation Medicine, vol.43, issue.5, pp.287-95, 2008. ,
DOI : 10.1161/01.STR.23.5.746
Characterization of soft tissue masses: can quantitative diffusion weighted imaging reliably distinguish cysts from solid masses?, Skeletal Radiology, vol.29, issue.1, pp.1583-92, 2013. ,
DOI : 10.1097/RUQ.0b013e3182823617
Role of Diffusionweighted MR Imaging in the Differentiation of Benign Retroperitoneal Fibrosis from Malignant Neoplasm: Preliminary Study. Radiology, 2014. ,
Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results, Magnetic Resonance Imaging, vol.25, issue.1, 2007. ,
DOI : 10.1016/j.mri.2006.09.006