Usefulness of new subtraction algorithm in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine liver CT protocol equilibrium phase data: Preliminary experience

•Hepatic CT extracellular volume fraction correlates with liver fibrosis grades.•New subtraction algorithm provides best extracellular volume fraction.•Extracellular volume fraction can be obtained from routine clinical CT data.•Further investigation is needed to determine optimal equilibrium phase...

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Vydané v:European journal of radiology Ročník 103; s. 99 - 104
Hlavní autori: Shinagawa, Yoshinobu, Sakamoto, Keiko, Sato, Keisuke, Ito, Emi, Urakawa, Hiroshi, Yoshimitsu, Kengo
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Ireland Elsevier B.V 01.06.2018
Predmet:
Adult
Aged
Aged, 80 and over
Algorithms
Angiography, Digital Subtraction - methods
Equilibrium phase
Extracellular Fluid - diagnostic imaging
Extracellular volume fraction
Female
Humans
Liver - diagnostic imaging
Liver Cirrhosis - diagnostic imaging
Liver Cirrhosis - pathology
Liver fibrosis
Male
Middle Aged
Retrospective Studies
Subtraction algorithm
Tomography, X-Ray Computed - methods
Young Adult
Equilibrium phase
CT
Extracellular volume fraction
Liver fibrosis
Subtraction algorithm
ISSN:0720-048X, 1872-7727, 1872-7727
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Popis
Shrnutí:•Hepatic CT extracellular volume fraction correlates with liver fibrosis grades.•New subtraction algorithm provides best extracellular volume fraction.•Extracellular volume fraction can be obtained from routine clinical CT data.•Further investigation is needed to determine optimal equilibrium phase delay time. To assess whether extracellular volume fraction (ECV) obtained from routine liver CT equilibrium phase data utilizing new subtraction algorithm is useful in estimating the degree of liver fibrosis. Consecutive 41 patients, 21 men and 20 women, with chronic liver diseases who underwent quadri-phase liver CT and MR elastography within 3 months were retrospectively enrolled. Subtraction image of unenhanced from equilibrium phase (240 s) images using conventional and new algorithms were made. We firstly assessed the quality of these subtraction algorithms using patients in whom anatomical misregistration between the two image sets were prominent. Then, ECVs were calculated using both subtraction data sets (ECV-convSub, and ECV-newSub, respectively). ECV were also calculated by traditional manual method (ECV-man). Correlation coefficients of 3 types of ECV were compared using liver stiffness (kPa) as measured by MR elastography and pathologically proven fibrosis grades as reference standards. For eleven patients with prominent anatomical misregistration between the unenhanced and equilibrium phases, new algorithm provided significantly better subtraction images than the conventional one (p = 0.001, Wilcoxon’s signed rank test). As for correlation with liver stiffness, R2 for ECV-man, ECV-convSub, and ECV-newSub, were 0.57, 0.59, and 0.66, respectively (all p < 0.0001, Pearson’s correlation). Histological assessment for fibrosis grades were available in 20 patients, and rho values for these three ECVs were 0.66, 0.61, and 0.71, respectively (all p < 0.01, Spearman’s rank correlation). ECV-newSub showed better correlation to liver stiffness and pathological fibrosis grades than ECV-convSub and ECV-man, which could be a reliable biomarker of liver fibrosis obtained from routine clinical diagnostic imaging data, where equilibrium phase delay time was set at 240 s.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0720-048X
1872-7727
1872-7727
DOI:10.1016/j.ejrad.2018.04.012