Literature DB >> 28411865

Predicting postoperative outcomes of liver resection by magnetic resonance elastography.

Hayato Abe1, Yutaka Midorikawa2, Yusuke Mitsuka1, Osamu Aramaki1, Tokio Higaki1, Naoki Matsumoto3, Mitsuhiko Moriyama3, Hiroki Haradome4, Osamu Abe5, Masahiko Sugitani6, Shingo Tsuji7, Tadatoshi Takayama1.   

Abstract

BACKGROUND: Cirrhosis is associated with blood loss during liver resection and postoperative complications. The liver stiffness measurement has recently become available for assessment of liver fibrosis.
METHODS: This prospective study was performed to predict postoperative outcomes of liver resection. The liver stiffness measurement was measured prospectively using magnetic resonance elastography for patients who had undergone liver resection for malignancy. We investigated whether the liver stiffness measurement by magnetic resonance elastography is correlated with liver fibrosis and postoperative outcomes.
RESULTS: The median liver stiffness measurement by magnetic resonance elastography in 175 patients was 3.4 (range: 1.5-11.3) kPa, and the pathologic grade of liver fibrosis was significantly correlated with the liver stiffness measurement (r = 0.68, P < .001). The median blood loss during transection per unit area was 4.1 mL/cm2 (range: 0.1-37.0 mL/cm2), and the frequency of major complications was 16.0%. The liver stiffness measurement was the only independent prognostic factor for both blood loss (regression coefficient: 1.14, 95% confidence interval: 0.45-1.83, P = .001) and major complications (odds ratio: 2.14, 95% confidence interval: 1.63-2.93, P < .001). Receiver operating characteristic curve analysis indicated a significant correlation between the liver stiffness measurement and major complications with calculated area under the curve of 0.81 (P < .001), and the sensitivity and specificity for prediction of major complications (cutoff value: 5.3 kPa) were 64.3% and 87.8%, respectively. On the other hand, the amount of blood loss was significantly correlated with the frequency of major complications (P = .003).
CONCLUSION: The liver stiffness measurement by magnetic resonance elastography could be used as a predictive marker for the risk of major complications due to blood loss during liver resection.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28411865     DOI: 10.1016/j.surg.2017.02.014

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  9 in total

1.  Prediction of esophageal varices by liver and spleen MR elastography.

Authors:  Hayato Abe; Yutaka Midorikawa; Naoki Matsumoto; Mitsuhiko Moriyama; Kazu Shibutani; Masahiro Okada; Seiichi Udagawa; Shingo Tsuji; Tadatoshi Takayama
Journal:  Eur Radiol       Date:  2019-04-30       Impact factor: 5.315

2.  Predictive value of combined computed tomography volumetry and magnetic resonance elastography for major complications after liver resection.

Authors:  Kazu Shibutani; Masahiro Okada; Jitsuro Tsukada; Kenji Ibukuro; Hayato Abe; Naoki Matsumoto; Yutaka Midorikawa; Mitsuhiko Moriyama; Tadatoshi Takayama
Journal:  Abdom Radiol (NY)       Date:  2021-03-08

Review 3.  Magnetic Resonance Elastography of Liver: Current Update.

Authors:  Safa Hoodeshenas; Meng Yin; Sudhakar Kundapur Venkatesh
Journal:  Top Magn Reson Imaging       Date:  2018-10

4.  Assessment of SE-MRE-derived shear stiffness at 3.0 Tesla for solid liver tumors characterization.

Authors:  Andrés Dominguez; Daniel Fino; Juan Carlos Spina; Nicolas Moyano Brandi; Joaquín Capó; Maximiliano Noceti; Pedro Pablo Ariza; Guilherme Moura Cunha
Journal:  Abdom Radiol (NY)       Date:  2020-10-24

5.  A prediction model for the grade of liver fibrosis using magnetic resonance elastography.

Authors:  Yusuke Mitsuka; Yutaka Midorikawa; Hayato Abe; Naoki Matsumoto; Mitsuhiko Moriyama; Hiroki Haradome; Masahiko Sugitani; Shingo Tsuji; Tadatoshi Takayama
Journal:  BMC Gastroenterol       Date:  2017-11-28       Impact factor: 3.067

6.  Prognostic value of liver stiffness measurement for the liver-related surgical outcomes of patients under hepatic resection: A meta-analysis.

Authors:  Zitong Huang; Jingjing Huang; Tianran Zhou; Hongying Cao; Bo Tan
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

7.  Model for liver hardness using two-dimensional shear wave elastography, durometer, and preoperative biomarkers.

Authors:  Bing-Jie Ju; Ming Jin; Yang Tian; Xiang Zhen; De-Xing Kong; Wei-Lin Wang; Sheng Yan
Journal:  World J Gastrointest Surg       Date:  2021-02-27

8.  A proposed model on MR elastography for predicting postoperative major complications in patients with hepatocellular carcinoma.

Authors:  Kazu Shibutani; Masahiro Okada; Jitsuro Tsukada; Tomoko Hyodo; Kenji Ibukuro; Hayato Abe; Naoki Matsumoto; Yutaka Midorikawa; Mitsuhiko Moriyama; Tadatoshi Takayama
Journal:  BJR Open       Date:  2021-11-24

9.  Liver stiffness measured by magnetic resonance elastography in early recurrence of hepatocellular carcinoma after treatment: A protocol for systematic review and meta analysis.

Authors:  Huiyan Zhao; Lijun Zhang; Huadong Chen
Journal:  Medicine (Baltimore)       Date:  2021-06-11       Impact factor: 1.817

  9 in total

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