OBJECTIVES: The purpose of this prospective study was to evaluate the accuracy of in-phase and out-of-phase imaging to assess hepatic iron concentration in patients with haematological malignancies and chronic liver disease. METHODS: MRI-based hepatic iron concentration (M-HIC, μmol g(-1)) was used as a reference standard. 42 patients suspected of having iron overload and 12 control subjects underwent 1.5 T in- and out-of-phase and M-HIC liver imaging. Two methods, semi-quantitative visual grading made by two independent readers and quantitative relative signal intensity (rSI) grading from the signal intensity differences of in-phase and out-of-phase images, were used. Statistical analyses were performed using the Spearman and Kruskal-Wallis tests, receiver operator curves and κ coefficients. RESULTS: The correlations between M-HIC and visual gradings of Reader 1 (r = 0.9534, p < 0.0001) and Reader 2 (r = 0.9456, p < 0.0001) were higher than the correlations of the rSI method (r = 0.7719, p < 0.0001). There was excellent agreement between the readers (weighted κ = 0.9619). Both visual grading and rSI were similar in detecting liver iron overload: rSI had 84.85% sensitivity and 100% specificity; visual grading had 85% sensitivity and 100% specificity. The differences between the grades of visual grading were significant (p < 0.0001) and the method was able to distinguish different degrees of iron overload at the threshold of 151 μmol g(-1) with 100% positive predictive value and negative predictive value. CONCLUSION: Detection and grading of liver iron can be performed reliably with in-phase and out-of-phase imaging. Liver fat is a potential pitfall, which limits the use of rSI.
OBJECTIVES: The purpose of this prospective study was to evaluate the accuracy of in-phase and out-of-phase imaging to assess hepatic iron concentration in patients with haematological malignancies and chronic liver disease. METHODS: MRI-based hepatic iron concentration (M-HIC, μmol g(-1)) was used as a reference standard. 42 patients suspected of having iron overload and 12 control subjects underwent 1.5 T in- and out-of-phase and M-HIC liver imaging. Two methods, semi-quantitative visual grading made by two independent readers and quantitative relative signal intensity (rSI) grading from the signal intensity differences of in-phase and out-of-phase images, were used. Statistical analyses were performed using the Spearman and Kruskal-Wallis tests, receiver operator curves and κ coefficients. RESULTS: The correlations between M-HIC and visual gradings of Reader 1 (r = 0.9534, p < 0.0001) and Reader 2 (r = 0.9456, p < 0.0001) were higher than the correlations of the rSI method (r = 0.7719, p < 0.0001). There was excellent agreement between the readers (weighted κ = 0.9619). Both visual grading and rSI were similar in detecting liver iron overload: rSI had 84.85% sensitivity and 100% specificity; visual grading had 85% sensitivity and 100% specificity. The differences between the grades of visual grading were significant (p < 0.0001) and the method was able to distinguish different degrees of iron overload at the threshold of 151 μmol g(-1) with 100% positive predictive value and negative predictive value. CONCLUSION: Detection and grading of liver iron can be performed reliably with in-phase and out-of-phase imaging. Liver fat is a potential pitfall, which limits the use of rSI.
Authors: John C Wood; Cathleen Enriquez; Nilesh Ghugre; J Michael Tyzka; Susan Carson; Marvin D Nelson; Thomas D Coates Journal: Blood Date: 2005-04-28 Impact factor: 22.113
Authors: Jose M Alústiza; Agustin Castiella; Maria D De Juan; Jose I Emparanza; Jose Artetxe; Maite Uranga Journal: Eur J Radiol Date: 2006-12-12 Impact factor: 3.528