Literature DB >> 16969479

Assessment of the severity of liver disease and fibrotic change: the usefulness of hepatic CT perfusion imaging.

Kazuhiko Hashimoto1, Takamichi Murakami, Keizo Dono, Masatoshi Hori, Tonsok Kim, Masayuki Kudo, Shigeru Marubashi, Atsushi Miyamoto, Yutaka Takeda, Hiroaki Nagano, Koji Umeshita, Hironobu Nakamura, Morito Monden.   

Abstract

This study assessed the utility of CT perfusion for quantitative assessment of liver function and fibrosis. Tissue blood flow (TBF), tissue blood volume (TBV), mean transit time (MTT) and hepatic arterial fraction (HAF) were measured with CT perfusion using the deconvolution algorithm in 38 patients with chronic liver diseases and 10 patients without liver disease. Using Child-Pugh classification, 21 patients were classified as Child A, 10 as Child B, and 7 as Child C. In 20 patients, the degree of fibrosis was quantitated in surgically-resected specimens and compared with the perfusion parameters. The mean TBF, TBV, MTT and HAF of patients with-out liver disease were 103.9+/-18 ml/min/100 g, 12.5+/-2.0 ml/100 g, 11.1+/-1.6 sec and 18.4+/-5.6%, respectively (+/-SD). The mean TBF of patients with Child A, B and C were 95.1+/-24, 86.7+/-29 and 75.5+/-6.5 ml/min/100 g, respectively. TBF tended to decrease with the severity of chronic liver disease. The mean HAF of patients with Child A, B and C were 18.6+/-8.3, 29.8+/-11.2 and 40.2+/-11.1%, respectively. HAF of patients without liver disease was significantly different from those of Child B and C (p<0.05, each). However, there were no significant differences in TBV and MTT between each groups. HAF correlated significantly with the degree of fibrosis (R2=0.588, p<0.05). Our results showed that parameters of CT perfusion correlated significantly with the severity of liver fibrosis and cirrhosis. Quantitative measurement of hepatic tissue blood flow by CT perfusion is useful for evaluation of the severity of disease and fibrotic change.

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Year:  2006        PMID: 16969479

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  38 in total

1.  Hepatic computed tomography perfusion: comparison of maximum slope and dual-input single-compartment methods.

Authors:  Tomonori Kanda; Takeshi Yoshikawa; Yoshiharu Ohno; Naoki Kanata; Hisanobu Koyama; Munenobu Nogami; Daisuke Takenaka; Kazuro Sugimura
Journal:  Jpn J Radiol       Date:  2010-12-30       Impact factor: 2.374

2.  MR relaxometry of the liver: significant elevation of T1 relaxation time in patients with liver cirrhosis.

Authors:  Tobias Heye; Schu-Ren Yang; Michael Bock; Sylvia Brost; Kilian Weigand; Thomas Longerich; Hans-Ulrich Kauczor; Waldemar Hosch
Journal:  Eur Radiol       Date:  2012-02-03       Impact factor: 5.315

Review 3.  Prediction of liver cirrhosis, using diagnostic imaging tools.

Authors:  Suk Keu Yeom; Chang Hee Lee; Sang Hoon Cha; Cheol Min Park
Journal:  World J Hepatol       Date:  2015-08-18

Review 4.  Clinical application of hepatic CT perfusion.

Authors:  Liang Zhong; Wen-Jing Wang; Jian-Rong Xu
Journal:  World J Gastroenterol       Date:  2009-02-28       Impact factor: 5.742

5.  Quantification of hepatic arterial and portal perfusion with dynamic computed tomography: comparison of maximum-slope and dual-input one-compartment model methods.

Authors:  Masaya Miyazaki; Yoshito Tsushima; Akiko Miyazaki; Bishnuhari Paudyal; Makoto Amanuma; Keigo Endo
Journal:  Jpn J Radiol       Date:  2009-05-03       Impact factor: 2.374

6.  Dynamic contrast-enhanced CT imaging of hepatocellular carcinoma in cirrhosis: feasibility of a prolonged dual-phase imaging protocol with tracer kinetics modeling.

Authors:  Tong San Koh; Choon Hua Thng; Septian Hartono; Puor Sherng Lee; Su Pin Choo; Donald Y H Poon; Han Chong Toh; Sotirios Bisdas
Journal:  Eur Radiol       Date:  2009-01-10       Impact factor: 5.315

7.  Assessment of the hepatic microvascular changes in liver cirrhosis by perfusion computed tomography.

Authors:  Mai-Lin Chen; Qing-Yu Zeng; Jian-Wei Huo; Xiao-Ming Yin; Bao-Ping Li; Jian-Xin Liu
Journal:  World J Gastroenterol       Date:  2009-07-28       Impact factor: 5.742

Review 8.  Abdominal perfusion computed tomography.

Authors:  Hayri Ogul; Ummugulsum Bayraktutan; Yesim Kizrak; Berhan Pirimoglu; Zeynep Yuceler; M Erdem Sagsoz; Omer Yilmaz; Bulent Aydinli; Gurkan Ozturk; Mecit Kantarci
Journal:  Eurasian J Med       Date:  2013-02

Review 9.  Perfusion magnetic resonance imaging of the liver.

Authors:  Choon Hua Thng; Tong San Koh; David J Collins; Dow Mu Koh
Journal:  World J Gastroenterol       Date:  2010-04-07       Impact factor: 5.742

10.  [Perfusion computed tomography for diffuse liver diseases].

Authors:  S A Schmidt; M S Juchems
Journal:  Radiologe       Date:  2012-08       Impact factor: 0.635

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