PURPOSE: To evaluate the diagnostic implications of the iterative decomposition of water and fat using echo-asymmetry and the least-squares estimation (IDEAL) technique to detect hepatic steatosis (HS) in potential liver donors using histopathology as the reference standard. MATERIALS AND METHODS: Forty-nine potential liver donors (32 male, 17 female; mean age, 31.7 years) were included. All patients were imaged using the in- and out-of-phase (IOP) gradient-echo (GRE) and IDEAL techniques on a 1.5 T MR scanner. To estimate the hepatic fat fraction (FF), two reviewers performed regions-of-interest measurement in 15 areas of the liver seen on the IOP images and on the IDEAL-FF images. The magnetic resonance imaging (MRI) and pathology values of macrosteatosis were correlated using the Pearson correlation coefficient. We analyzed the diagnostic performance of IOP imaging and IDEAL for detecting HS. RESULTS: The results of the hepatic-FF estimated on IDEAL were well correlated with the histologic degree of macrosteatosis (γ = 0.902, P < 0.001). IDEAL showed 100% sensitivity and 91% specificity for detecting HS, and IOP imaging showed 87.5% sensitivity and 97% specificity, respectively. CONCLUSION: IDEAL is a useful tool for the preoperative diagnosis of HS in potential living liver donors; it can also help to avoid unnecessary biopsies in these patients.
PURPOSE: To evaluate the diagnostic implications of the iterative decomposition of water and fat using echo-asymmetry and the least-squares estimation (IDEAL) technique to detect hepatic steatosis (HS) in potential liver donors using histopathology as the reference standard. MATERIALS AND METHODS: Forty-nine potential liver donors (32 male, 17 female; mean age, 31.7 years) were included. All patients were imaged using the in- and out-of-phase (IOP) gradient-echo (GRE) and IDEAL techniques on a 1.5 T MR scanner. To estimate the hepatic fat fraction (FF), two reviewers performed regions-of-interest measurement in 15 areas of the liver seen on the IOP images and on the IDEAL-FF images. The magnetic resonance imaging (MRI) and pathology values of macrosteatosis were correlated using the Pearson correlation coefficient. We analyzed the diagnostic performance of IOP imaging and IDEAL for detecting HS. RESULTS: The results of the hepatic-FF estimated on IDEAL were well correlated with the histologic degree of macrosteatosis (γ = 0.902, P < 0.001). IDEAL showed 100% sensitivity and 91% specificity for detecting HS, and IOP imaging showed 87.5% sensitivity and 97% specificity, respectively. CONCLUSION: IDEAL is a useful tool for the preoperative diagnosis of HS in potential living liver donors; it can also help to avoid unnecessary biopsies in these patients.
Authors: Stephan C Bischoff; Rocco Barazzoni; Luca Busetto; Marjo Campmans-Kuijpers; Vincenzo Cardinale; Irit Chermesh; Ahad Eshraghian; Haluk Tarik Kani; Wafaa Khannoussi; Laurence Lacaze; Miguel Léon-Sanz; Juan M Mendive; Michael W Müller; Johann Ockenga; Frank Tacke; Anders Thorell; Darija Vranesic Bender; Arved Weimann; Cristina Cuerda Journal: United European Gastroenterol J Date: 2022-08-12 Impact factor: 6.866
Authors: Joy Liau; Masoud Shiehmorteza; Olivier M Girard; Claude B Sirlin; Mark Bydder Journal: Magn Reson Imaging Date: 2013-04-18 Impact factor: 2.546
Authors: Michael J House; Eng K Gan; Leon A Adams; Oyekoya T Ayonrinde; Sander J Bangma; Prithi S Bhathal; John K Olynyk; Tim G St Pierre Journal: PLoS One Date: 2013-03-21 Impact factor: 3.240