P A Kupczyk1, N Mesropyan2, A Isaak2, C Endler2, A Faron2, D Kuetting2, A M Sprinkart2, B Mädler3, D Thomas2, U I Attenberger2, J A Luetkens2. 1. University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany. Electronic address: patrick.kupczyk@ukbonn.de. 2. University Hospital Bonn, Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127 Bonn, Germany. 3. Philips Healthcare, Hamburg, Germany.
Abstract
BACKGROUND: Chronic liver diseases pose a major health problem worldwide, while common tests for diagnosis and monitoring of diffuse hepatopathy have considerable limitations. Preliminary data on the quantification of hepatic extracellular volume fraction (ECV) with magnetic resonance imaging (MRI) for non-invasive assessment of liver fibrosis are encouraging, with ECV having the potential to overcome several of these constraints. PURPOSE: To clinically evaluate ECV provided by quantitative MRI for assessing the severity of liver disease. MATERIALS AND METHODS: In this prospective study, multiparametric liver MRI, including T1 mapping and magnetic resonance elastography (MRE), was performed in subjects with and without hepatopathy between November 2018 and October 2019. T1, T2, T2*, proton density fat fraction and stiffness were extracted from parametric maps by regions of interest and ECV was calculated from T1 relaxometries. Serum markers of liver disease were obtained by clinical database research. For correlation analysis, Spearman rank correlation was used. ROC analysis of serum markers and quantitative MRI data for discrimination of liver cirrhosis was performed with MRE as reference standard. RESULTS: 109 participants were enrolled (50.7 ± 16.1 years, 61 men). ECV, T1 and MRE correlated significantly with almost all serum markers of liver disease, with ECV showing the strongest associations (up to r = 0.67 with MELD, p < 0.01). ECV and T1 correlated with MRE (0.75 and 0.73, p < 0.01 each). ECV (AUC 0.89, cutoff 32.2%, sensitivity 85%, specificity 87%) and T1 mapping (AUC 0.85, cutoff 592.5 ms, sensitivity 83%, specificity 75%) featured good performances in detection of liver cirrhosis with only ECV performing significantly superior to model of end stage liver disease (MELD), AST/ALT ratio and international normalized ratio (p < 0.01, respectively). CONCLUSION: Quantification of hepatic extracellular volume fraction with MRI is suitable for estimating the severity of liver disease when using MRE as the standard of reference. It represents a promising tool for non-invasive assessment of liver fibrosis and cirrhosis.
BACKGROUND:Chronic liver diseases pose a major health problem worldwide, while common tests for diagnosis and monitoring of diffuse hepatopathy have considerable limitations. Preliminary data on the quantification of hepatic extracellular volume fraction (ECV) with magnetic resonance imaging (MRI) for non-invasive assessment of liver fibrosis are encouraging, with ECV having the potential to overcome several of these constraints. PURPOSE: To clinically evaluate ECV provided by quantitative MRI for assessing the severity of liver disease. MATERIALS AND METHODS: In this prospective study, multiparametric liver MRI, including T1 mapping and magnetic resonance elastography (MRE), was performed in subjects with and without hepatopathy between November 2018 and October 2019. T1, T2, T2*, proton density fat fraction and stiffness were extracted from parametric maps by regions of interest and ECV was calculated from T1 relaxometries. Serum markers of liver disease were obtained by clinical database research. For correlation analysis, Spearman rank correlation was used. ROC analysis of serum markers and quantitative MRI data for discrimination of liver cirrhosis was performed with MRE as reference standard. RESULTS: 109 participants were enrolled (50.7 ± 16.1 years, 61 men). ECV, T1 and MRE correlated significantly with almost all serum markers of liver disease, with ECV showing the strongest associations (up to r = 0.67 with MELD, p < 0.01). ECV and T1 correlated with MRE (0.75 and 0.73, p < 0.01 each). ECV (AUC 0.89, cutoff 32.2%, sensitivity 85%, specificity 87%) and T1 mapping (AUC 0.85, cutoff 592.5 ms, sensitivity 83%, specificity 75%) featured good performances in detection of liver cirrhosis with only ECV performing significantly superior to model of end stage liver disease (MELD), AST/ALT ratio and international normalized ratio (p < 0.01, respectively). CONCLUSION: Quantification of hepatic extracellular volume fraction with MRI is suitable for estimating the severity of liver disease when using MRE as the standard of reference. It represents a promising tool for non-invasive assessment of liver fibrosis and cirrhosis.
Authors: Narine Mesropyan; Patrick A Kupczyk; Leona Dold; Michael Praktiknjo; Johannes Chang; Alexander Isaak; Christoph Endler; Dmitrij Kravchenko; Leon M Bischoff; Alois M Sprinkart; Claus C Pieper; Daniel Kuetting; Christian Jansen; Ulrike I Attenberger; Julian A Luetkens Journal: Sci Rep Date: 2022-06-08 Impact factor: 4.996
Authors: Sophie von Ulmenstein; Sanja Bogdanovic; Hanna Honcharova-Biletska; Sena Blümel; Ansgar R Deibel; Daniel Segna; Christoph Jüngst; Achim Weber; Thomas Kuntzen; Christoph Gubler; Cäcilia S Reiner Journal: Abdom Radiol (NY) Date: 2022-08-29
Authors: Narine Mesropyan; Patrick Kupczyk; Alexander Isaak; Christoph Endler; Anton Faron; Leona Dold; Alois M Sprinkart; Claus C Pieper; Daniel Kuetting; Ulrike Attenberger; Julian A Luetkens Journal: Abdom Radiol (NY) Date: 2021-06-10