Quantitative liver MRI including extracellular volume fraction for non-invasive quantification of liver fibrosis: a prospective proof-of-concept study

Gut ◽  
2017 ◽  
Vol 67 (3) ◽  
pp. 593-594 ◽  
Author(s):  
Julian A Luetkens ◽  
Sabine Klein ◽  
Frank Traeber ◽  
Frederic C Schmeel ◽  
Alois M Sprinkart ◽  
...  
Keyword(s):  
Liver Fibrosis ◽  
Volume Fraction ◽  
Extracellular Volume ◽  
Extracellular Volume Fraction ◽  
Proof Of Concept ◽  
Liver Mri ◽  
Concept Study ◽  
Non Invasive

SAT-423-Spleen extracellular volume fraction and platelet count/spleen volume ratio are accurate non-invasive markers of portal hypertension

2019 ◽  
Vol 70 (1) ◽  
pp. e820-e821
Author(s):  
Christina Levick ◽  
Michael Pavlides ◽  
DavidJ Breen ◽  
Kathryn Nash ◽  
Gideon Hirschfield ◽  
...  
Keyword(s):  
Platelet Count ◽  
Portal Hypertension ◽  
Volume Fraction ◽  
Extracellular Volume ◽  
Volume Ratio ◽  
Extracellular Volume Fraction ◽  
Spleen Volume ◽  
Non Invasive

scholarly journals Equilibrium CT Texture Analysis for the Evaluation of Hepatic Fibrosis: Preliminary Evaluation against Histopathology and Extracellular Volume Fraction

2020 ◽  
Vol 10 (2) ◽  
pp. 46
Author(s):  
Jason Yeung ◽  
Balaji Ganeshan ◽  
Raymond Endozo ◽  
Andrew Hall ◽  
Simon Wan ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Liver Fibrosis ◽  
Texture Analysis ◽  
Volume Fraction ◽  
Extracellular Volume ◽  
Equilibrium Phase ◽  
Extracellular Volume Fraction ◽  
Diffuse Fibrosis ◽  
Preliminary Evaluation ◽  
Ct Texture Analysis

Background: Evaluate equilibrium contrast-enhanced CT (EQ-CT) texture analysis (EQ-CTTA) against histologically-quantified fibrosis, serum-based enhanced liver fibrosis panel (ELF) and imaging-based extracellular volume fraction (ECV) in chronic hepatitis. Methods: This study was a re-analysis of image data from a previous prospective study. Pre- and equilibrium-phase post-IV contrast CT datasets were collected from patients with chronic hepatitis with contemporaneous liver biopsy and serum ELF measurement between April 2011 and July 2013. Biopsy samples were analysed to derive collagen proportionate area (CPA). EQ-CTTA was performed with a filtration histogram technique using texture analysis software, with texture quantification using statistical and histogram-based metrics (mean, skewness, standard deviation, entropy, etc.). Association between pre-contrast and EQ-CTTA against CPA, ECV and ELF was evaluated using Spearman’s rank correlation coefficient (rs). Results: Complete datasets collected in 29 patients (16 male; 13 female), mean age (range): 49 (22–66 years). Liver ECV, CPA and ELF had a median (interquartile range) of 0.26 (0.24–0.29); 5.0 (3.0–13.7) and 9.71 (8.39–10.92). Difference in segment VII hepatic CTTA (medium texture scale) between EQ-CT and pre-contrast images was significantly and positively associated with ELF score (mean: rs = 0.69, p < 0.001; skewness: rs = 0.57, p = 0.007). Significant negative associations were observed between pre-contrast and EQ-CT whole hepatic CTTA (coarse texture scale) with CPA (pre-contrast, SD: rs = −0.66, p < 0.001) and ECV (EQ-CT, entropy: rs = −0.58, p = 0.006). Conclusions: Hepatic EQ-CTTA demonstrates significant association with validated markers of liver fibrosis, suggesting a role in non-invasive quantification of severity in diffuse fibrosis.

scholarly journals Non-invasive assessment of liver fibrosis in autoimmune hepatitis: Diagnostic value of liver magnetic resonance parametric mapping including extracellular volume fraction

2020 ◽  
Author(s):  
Narine Mesropyan ◽  
Patrick Kupczyk ◽  
Leona Dold ◽  
Tobias J. Weismüller ◽  
Alois M. Sprinkart ◽  
...  
Keyword(s):  
Diagnostic Performance ◽  
Volume Fraction ◽  
Extracellular Volume ◽  
Liver Stiffness ◽  
Extracellular Volume Fraction ◽  
Diagnostic Value ◽  
Parametric Mapping ◽  
Significant Fibrosis ◽  
Non Invasive ◽  
Mapping Parameters

Abstract Purpose Autoimmune hepatitis (AIH) is an immune-mediated chronic liver disease that leads to severe fibrosis and cirrhosis. The aim of this study was to determine the diagnostic value of T1 and T2 mapping as well as extracellular volume fraction (ECV) for non-invasive assessment of liver fibrosis in AIH patients. Methods In this prospective study, 27 patients (age range: 19–77 years) with AIH underwent liver MRI. T1 and T2 relaxation times as well as ECV were quantified by mapping techniques. The presence of significant fibrosis (≥ F2) was defined as magnetic resonance elastography (MRE)-based liver stiffness ≥ 3.66 kPa. MRE was used as reference standard, against which the diagnostic performance of MRI-derived mapping parameters was tested. Diagnostic performance was compared by utilizing receiver-operating characteristic (ROC) analysis. Results MRE-based liver stiffness correlated with both, hepatic native T1 (r = 0.69; P < 0.001) as well as ECV (r = 0.80; P < 0.001). For the assessment of significant fibrosis, ECV yielded a sensitivity of 85.7% (95% confidence interval (CI): 60.1–96.0%) and a specificity of 84.6% (CI 60.1–96.0%); hepatic native T1 yielded a sensitivity of 85.7% (CI 60.1–96.0%); and a specificity of 76.9% (CI 49.7–91.8%). Diagnostic performance of hepatic ECV (area under the curve (AUC): 0.885), native hepatic T1 (AUC: 0.846) for assessment of significant fibrosis was similar compared to clinical fibrosis scores (APRI (AUC: 0.852), FIB-4 (AUC: 0.758), and AAR (0.654) (P > 0.05 for each comparison)). Conclusion Quantitative mapping parameters such as T1 and ECV can identify significant fibrosis in AIH patients. Future studies are needed to explore the value of parametric mapping for the evaluation of different disease stages.

scholarly journals Quantification of Liver Fibrosis at T1 and T2 Mapping with Extracellular Volume Fraction MRI: Preclinical Results

Radiology ◽  
2018 ◽  
Vol 288 (3) ◽  
pp. 748-754 ◽  
Author(s):  
Julian A. Luetkens ◽  
Sabine Klein ◽  
Frank Träber ◽  
Frederic C. Schmeel ◽  
Alois M. Sprinkart ◽  
...  
Keyword(s):  
Liver Fibrosis ◽  
Volume Fraction ◽  
T2 Mapping ◽  
Extracellular Volume ◽  
Extracellular Volume Fraction ◽  
T1 And T2

scholarly journals Synthetic extracellular volume fraction without hematocrit sampling for hepatic applications

2021 ◽  
Author(s):  
Narine Mesropyan ◽  
Patrick Kupczyk ◽  
Alexander Isaak ◽  
Christoph Endler ◽  
Anton Faron ◽  
...  
Keyword(s):  
Volume Fraction ◽  
Pearson Correlation ◽  
Extracellular Volume ◽  
Extracellular Volume Fraction ◽  
Radiology Department ◽  
Clinical Implementation ◽  
Derivation Cohort ◽  
Non Invasive ◽  
Potential Biomarker ◽  
Before And After

Abstract Purpose Calculation of extracellular volume fraction (ECV) currently receives increasing interest as a potential biomarker for non-invasive assessment of liver fibrosis. ECV calculation requires hematocrit (Hct) sampling, which might be difficult to obtain in a high-throughput radiology department. The aim of this study was to generate synthetic ECV for hepatic applications without the need for Hct sampling. Methods In this prospective study participants underwent liver MRI. T1 mapping was performed before and after contrast administration. Blood Hct was obtained prior to MRI. We hypothesized that the relationship between Hct and longitudinal relaxation rate of blood (R1 = 1/T1blood) could be calibrated and used to generate the equation for synthetic Htc and ECV calculation. Conventional and synthetic ECV were calculated. Pearson correlation, linear regression and Bland–Altman method were used for statistical analysis. Results 180 consecutive patients were divided into derivation (n = 90) and validation (n = 90) cohorts. In the derivation cohort, native R1blood and Hct showed a linear relationship (HctMOLLI = 98.04 × (1/T1blood) − 33.17, R2 = 0.75, P < 0.001), which was used to calculate synthetic ECV in the validation and whole study cohorts. Synthetic and conventional ECV showed significant correlations in the derivation, validation and in the whole study cohorts (r = 0.99, 0.97 and 0.99, respectively, P < 0.001, respectively) with minimal bias according to the Bland–Altman analysis. Conclusion Synthetic ECV seems to offer an alternative method for non-invasive quantification of the hepatic ECV. It may potentially overcome an important barrier to clinical implementation of ECV and thus, enable broader use of hepatic ECV in routine clinical practice.

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