PURPOSE: To explore the potential of perfusion-corrected diffusion-weighted magnetic resonance imaging (MRI) in characterizing soft-tissue tumors. METHODS AND MATERIALS: Diffusion-weighted MRI was performed in 23 histologically proven soft-tissue masses using a diffusion-weighted spin-echo sequence with diffusion gradient strengths yielding five b-values (0-701 seconds/mm(2)). True diffusion coefficients and perfusion fractions were estimated and compared with apparent diffusion coefficients (ADCs). RESULTS: ADC values of all tumors, subcutaneous fat, and muscle were significantly higher than true diffusion coefficients, indicating a contribution of perfusion to the ADC. True diffusion coefficients of malignant tumors (1.08 x 10(-3) mm(2)/second) were significantly lower than those of benign masses (1.71 x 10(-3) mm(2)/second), whereas ADC values between these groups were not significantly different. CONCLUSION: Perfusion-corrected diffusion-weighted MRI has potential in differentiating benign from malignant soft-tissue masses.
PURPOSE: To explore the potential of perfusion-corrected diffusion-weighted magnetic resonance imaging (MRI) in characterizing soft-tissue tumors. METHODS AND MATERIALS: Diffusion-weighted MRI was performed in 23 histologically proven soft-tissue masses using a diffusion-weighted spin-echo sequence with diffusion gradient strengths yielding five b-values (0-701 seconds/mm(2)). True diffusion coefficients and perfusion fractions were estimated and compared with apparent diffusion coefficients (ADCs). RESULTS: ADC values of all tumors, subcutaneous fat, and muscle were significantly higher than true diffusion coefficients, indicating a contribution of perfusion to the ADC. True diffusion coefficients of malignant tumors (1.08 x 10(-3) mm(2)/second) were significantly lower than those of benign masses (1.71 x 10(-3) mm(2)/second), whereas ADC values between these groups were not significantly different. CONCLUSION: Perfusion-corrected diffusion-weighted MRI has potential in differentiating benign from malignant soft-tissue masses.
Authors: Sungheon Kim; Lindsey Decarlo; Gene Y Cho; Jens H Jensen; Daniel K Sodickson; Linda Moy; Silvia Formenti; Robert J Schneider; Judith D Goldberg; Eric E Sigmund Journal: NMR Biomed Date: 2011-11-09 Impact factor: 4.044
Authors: Nicholas Bhojwani; Peter Szpakowski; Sasan Partovi; Martin H Maurer; Ulrich Grosse; Hendrik von Tengg-Kobligk; Lisa Zipp-Partovi; Nathan Fergus; Christos Kosmas; Konstantin Nikolaou; Mark R Robbin Journal: Quant Imaging Med Surg Date: 2015-10
Authors: C Baunin; G Schmidt; K Baumstarck; C Bouvier; J C Gentet; A Aschero; A Ruocco; B Bourlière; G Gorincour; C Desvignes; N Colavolpe; G Bollini; P Auqier; P Petit Journal: Skeletal Radiol Date: 2012-02-09 Impact factor: 2.199
Authors: Alexey Surov; Shuji Nagata; Ahmed A Abd Razek; Sree Harsha Tirumani; Andreas Wienke; Thomas Kahn Journal: Skeletal Radiol Date: 2015-04-28 Impact factor: 2.199
Authors: Pedro Augusto Gondim Teixeira; Frederique Gay; Bailiang Chen; Marie Zins; François Sirveaux; Jacques Felblinger; Alain Blum Journal: Skeletal Radiol Date: 2015-12-01 Impact factor: 2.199