PURPOSE: We evaluated the correlation of MR Elastography (MRE) with morphometric assessment of liver fibrosis in chronic hepatitis B (CHB). METHODS: Thirty-two patients with CHB underwent both MRE and a liver biopsy within a 6-month interval. MRE was performed using standard MRE sequence on a 1.5 Tesla clinical scanner. The liver stiffness (LS) was measured on automatically generated stiffness maps. Morphometric quantification of fibrosis of liver biopsies was performed using a semi-automated image analysis program and expressed as percentage area (Fibro-C-Index). Correlations between MRE, Fibro-C-Index, and histologic fibrosis stages were evaluated. Receiver operating curve (ROC) analysis of MRE and Fibro-C-index for differentiating fibrosis (≥F1), significant fibrosis (≥F2), advanced fibrosis (≥F3), and cirrhosis (F4) was performed. RESULTS: MRE showed excellent correlation with both Fibro-C-Index (r = 0.78, 95% confidence interval [CI], 0.59-0.88, P < 0.001) and histologic staging (rho = 0.87, 95% CI, 0.72-0.94, P < 0.0001). Significant differences in MRE (P = 0.0001) and Fibro-C-Index (P = 0.003) among different stages of liver fibrosis was found. MRE and Fibro-C-Index had similar accuracies for differentiating fibrosis stages: ≥F1 (0.87 versus 0.81, P = 0.6), ≥F2 (0.95 versus 0.94, P = 0.78), ≥F3 (0.98 versus 0.96, P = 0.76), and F4 (1.00 versus 0.92, P = 0.10). CONCLUSION: MRE is an excellent noninvasive indicator of liver fibrosis burden in CHB.
PURPOSE: We evaluated the correlation of MR Elastography (MRE) with morphometric assessment of liver fibrosis in chronic hepatitis B (CHB). METHODS: Thirty-two patients with CHB underwent both MRE and a liver biopsy within a 6-month interval. MRE was performed using standard MRE sequence on a 1.5 Tesla clinical scanner. The liver stiffness (LS) was measured on automatically generated stiffness maps. Morphometric quantification of fibrosis of liver biopsies was performed using a semi-automated image analysis program and expressed as percentage area (Fibro-C-Index). Correlations between MRE, Fibro-C-Index, and histologic fibrosis stages were evaluated. Receiver operating curve (ROC) analysis of MRE and Fibro-C-index for differentiating fibrosis (≥F1), significant fibrosis (≥F2), advanced fibrosis (≥F3), and cirrhosis (F4) was performed. RESULTS: MRE showed excellent correlation with both Fibro-C-Index (r = 0.78, 95% confidence interval [CI], 0.59-0.88, P < 0.001) and histologic staging (rho = 0.87, 95% CI, 0.72-0.94, P < 0.0001). Significant differences in MRE (P = 0.0001) and Fibro-C-Index (P = 0.003) among different stages of liver fibrosis was found. MRE and Fibro-C-Index had similar accuracies for differentiating fibrosis stages: ≥F1 (0.87 versus 0.81, P = 0.6), ≥F2 (0.95 versus 0.94, P = 0.78), ≥F3 (0.98 versus 0.96, P = 0.76), and F4 (1.00 versus 0.92, P = 0.10). CONCLUSION: MRE is an excellent noninvasive indicator of liver fibrosis burden in CHB.
Authors: Jonathan F Brand; Lars R Furenlid; Maria I Altbach; Jean-Philippe Galons; Achyut Bhattacharyya; Puneet Sharma; Tulshi Bhattacharyya; Ali Bilgin; Diego R Martin Journal: J Med Imaging (Bellingham) Date: 2016-07-21
Authors: Paul Kennedy; Mathilde Wagner; Laurent Castéra; Cheng William Hong; Curtis L Johnson; Claude B Sirlin; Bachir Taouli Journal: Radiology Date: 2018-03 Impact factor: 11.105
Authors: Eric R Fenstad; Bogdan Dzyubak; Jae K Oh; Eric E Williamson; James F Glockner; Phillip M Young; Nandan S Anavekar; Michael D Leise; Richard L Ehman; Philip A Araoz; Sudhakar K Venkatesh Journal: J Magn Reson Imaging Date: 2015-12-21 Impact factor: 4.813
Authors: Hadrien A Dyvorne; Guido H Jajamovich; Octavia Bane; M Isabel Fiel; Hsin Chou; Thomas D Schiano; Douglas Dieterich; James S Babb; Scott L Friedman; Bachir Taouli Journal: Liver Int Date: 2016-02-07 Impact factor: 5.828