PURPOSE: To evaluate the influence of the choice of different combinations of b-values on the ADC and on the diagnostic performance of quantitative diffusion weighted imaging (DWI) in breast lesions. MATERIALS AND METHODS: Seventy-three patients (90 lesions) underwent 3 Tesla (T) breast MRI including a DWI-scan using b-values 0, 150, 499, and 1500 s/mm(2) and histological analysis. Five combinations of b-values were used to calculate the ADC, each with different sensitivities to perfusion and diffusion effects. The median ADC of benign lesions, noninvasive carcinomas and invasive carcinomas and the diagnostic performance of the five methods were compared. RESULTS: Eighty-eight lesions were analyzed (37 benign, 13 noninvasive carcinomas, 38 invasive carcinomas). The median ADC was highest in benign lesions, intermediate in noninvasive carcinomas and lowest in invasive carcinomas for all methods. Calculating the ADC with the lowest 2 b-values yielded the highest ADC for all lesions types; the highest 2 b-values yielded the lowest ADC. The area under the receiver operating characteristic curve was approximately equal for all methods. CONCLUSION: The ADC of breast lesions varied substantially with the choice of different b-values, indicating that absolute ADC threshold values to differentiate benign and malignant lesions should be interpreted with caution. However, the diagnostic performance of quantitative DWI was not affected by the choice of different b-values. Copyright 2010 Wiley-Liss, Inc.
PURPOSE: To evaluate the influence of the choice of different combinations of b-values on the ADC and on the diagnostic performance of quantitative diffusion weighted imaging (DWI) in breast lesions. MATERIALS AND METHODS: Seventy-three patients (90 lesions) underwent 3 Tesla (T) breast MRI including a DWI-scan using b-values 0, 150, 499, and 1500 s/mm(2) and histological analysis. Five combinations of b-values were used to calculate the ADC, each with different sensitivities to perfusion and diffusion effects. The median ADC of benign lesions, noninvasive carcinomas and invasive carcinomas and the diagnostic performance of the five methods were compared. RESULTS: Eighty-eight lesions were analyzed (37 benign, 13 noninvasive carcinomas, 38 invasive carcinomas). The median ADC was highest in benign lesions, intermediate in noninvasive carcinomas and lowest in invasive carcinomas for all methods. Calculating the ADC with the lowest 2 b-values yielded the highest ADC for all lesions types; the highest 2 b-values yielded the lowest ADC. The area under the receiver operating characteristic curve was approximately equal for all methods. CONCLUSION: The ADC of breast lesions varied substantially with the choice of different b-values, indicating that absolute ADC threshold values to differentiate benign and malignant lesions should be interpreted with caution. However, the diagnostic performance of quantitative DWI was not affected by the choice of different b-values. Copyright 2010 Wiley-Liss, Inc.
Authors: E E Sigmund; G Y Cho; S Kim; M Finn; M Moccaldi; J H Jensen; D K Sodickson; J D Goldberg; S Formenti; L Moy Journal: Magn Reson Med Date: 2011-02-01 Impact factor: 4.668
Authors: Moti Freiman; Stephan D Voss; Robert V Mulkern; Jeannette M Perez-Rossello; Michael J Callahan; Simon K Warfield Journal: Med Phys Date: 2012-08 Impact factor: 4.071
Authors: Sana Parsian; Habib Rahbar; Kimberly H Allison; Wendy B Demartini; Matthew L Olson; Constance D Lehman; Savannah C Partridge Journal: Radiology Date: 2012-10-02 Impact factor: 11.105
Authors: Dorota J Wisner; Nathan Rogers; Vibhas S Deshpande; David N Newitt; Gerhard A Laub; David A Porter; John Kornak; Bonnie N Joe; Nola M Hylton Journal: J Magn Reson Imaging Date: 2013-11-08 Impact factor: 4.813
Authors: Maarten W Barentsz; Valentina Taviani; Jung M Chang; Debra M Ikeda; Kanae K Miyake; Suchandrima Banerjee; Maurice A A J van den Bosch; Brian A Hargreaves; Bruce L Daniel Journal: J Magn Reson Imaging Date: 2015-04-24 Impact factor: 4.813
Authors: Paolo Belli; Melania Costantini; Enida Bufi; Giuseppe Giovanni Giardina; Pierluigi Rinaldi; Gianluca Franceschini; Lorenzo Bonomo Journal: Radiol Med Date: 2014-08-06 Impact factor: 3.469