Premium
Quantitative estimation of progression of chronic liver disease using gadoxetate disodium‐enhanced magnetic resonance imaging
Author(s) -
Yamada Akira,
Fujinaga Yasunari,
Suzuki Takeshi,
Komatsu Daisuke,
Kitoh Yoshihiro,
Iwadate Yuji,
Nozaki Atsushi,
Ueda Kazuhiko,
Kadoya Masumi
Publication year - 2018
Publication title -
hepatology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.123
H-Index - 75
eISSN - 1872-034X
pISSN - 1386-6346
DOI - 10.1111/hepr.13069
Subject(s) - medicine , magnetic resonance imaging , magnetic resonance elastography , hepatocellular carcinoma , nuclear medicine , linear regression , stepwise regression , perfusion , albumin , chronic liver disease , cirrhosis , gastroenterology , radiology , elastography , ultrasound , mathematics , statistics
Aim The purpose of this study was to determine whether the liver stiffness (LS) measured on magnetic resonance (MR) elastography can be estimated by a combination of gadoxetate disodium‐enhanced MR imaging (EOB‐MRI) and ordinary blood tests. Methods We evaluated 33 consecutive patients with suspected liver disease who underwent EOB‐MRI using a Differential Subsampling with Cartesian Ordering MR sequence and MR elastography using a 1.5‐T MR system in this prospective study. A stepwise multiple linear regression model analysis of LS was performed using various predictive values obtained from two‐in‐one‐uptake, two‐compartment model analysis of EOB‐MRI (velocity constants of arterial inflow [K 1a ], portal venous inflow [K 1p ], hepatocellular uptake [K i ]), and ordinary blood test results (blood platelet count, serum albumin level [ALB], total serum bilirubin level [T‐BIL], and prothrombin time [PT%]). Results Multiple linear regression model analysis revealed that hepatic perfusion‐uptake index (HPUI = –K 1a + K 1p + K i ) ( P < 0.0001), albumin‐bilirubin linear predictor (ALBI‐LP = 0.66 × log 10 T‐BIL – 0.085 × ALB) ( P = 0.034), and blood platelet count ( P = 0.046) were significant independent predictors of LS ( r = 0.863). The area under receiver operator characteristics curve of multiple linear regression model in prediction of the liver stiffness corresponding to higher (LS > 5.0 kPa) and lower (LS < 4.2 kPa) risk for developing hepatocellular carcinoma were 0.956 and 0.938, respectively. Conclusion LS can be estimated quantitatively with the use of HPUI obtained from compartment model analysis of EOB‐MRI combined with ALBI‐LP and blood platelet count.