Literature DB >> 23666158

MR-based measurements of portal vein flow and liver stiffness for predicting gastroesophageal varices.

Hiroyuki Morisaka1, Utaroh Motosugi, Tomoaki Ichikawa, Katsuhiro Sano, Shintaro Ichikawa, Tsutomu Araki, Nobuyuki Enomoto.   

Abstract

OBJECTIVES: We evaluated flow parameters measured by phase-contrast magnetic resonance (MR) imaging (PC-MRI) of the portal venous system and liver stiffness measured by MR elastography (MRE) to determine the usefulness of these methods in predicting gastroesophageal varices (GEV) in patients with chronic liver disease (CLD).
METHODS: In patients with CLD and controls, we performed PC-MRI on the portal (PV) and superior mesenteric veins; calculated mean velocity (V, cm/s), cross-sectional area (S, mm²), and flow volume (Q, mL/min); and determined markers of liver fibrosis (liver stiffness [kPa]) and aspartate aminotransferase (AST) platelet ratio index [APRI]). We visually assessed GEV and development of collateral pathways of the PV on routine contrast-enhanced dynamic MR imaging and compared patient characteristics, flow parameters, liver stiffness markers, and visual analysis among 3GEV groups, those with mild, severe, or no GEV with reference to endoscopic findings.
RESULTS: Child-Pugh grade, VPV, SPV, liver stiffness, APRI, and visually identified GEV (visible GEV) differed significantly among the 3 groups (P<0.05). We investigated VPV, SPV, liver stiffness, and visible GEV as independent markers to distinguish patients with and without GEV and examined VPV and visible GEV to predict severe GEV. Visible GEV showed low sensitivity (14 to 30%) and high specificity (98%) for predicting GEV in patients with CLD. A subgroup analysis that excluded cases with collateral pathway demonstrated slightly improved diagnostic performance of VPV and liver stiffness.
CONCLUSIONS: Portal vein flow parameters and liver stiffness can be useful markers for predicting GEV in patients with CLD.

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Year:  2013        PMID: 23666158     DOI: 10.2463/mrms.2012-0052

Source DB:  PubMed          Journal:  Magn Reson Med Sci        ISSN: 1347-3182            Impact factor:   2.471


  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.  Prediction of esophageal varices in patients with cirrhosis: usefulness of three-dimensional MR elastography with echo-planar imaging technique.

Authors:  Sung Ui Shin; Jeong-Min Lee; Mi Hye Yu; Jeong Hee Yoon; Joon Koo Han; Byung-Ihn Choi; Kevin J Glaser; Richard L Ehman
Journal:  Radiology       Date:  2014-03-09       Impact factor: 11.105

3.  MR elastography, T1 and T2 relaxometry of liver: role in noninvasive assessment of liver function and portal hypertension.

Authors:  David H Hoffman; Abimbola Ayoola; Dominik Nickel; Fei Han; Hersh Chandarana; James Babb; Krishna Prasad Shanbhogue
Journal:  Abdom Radiol (NY)       Date:  2020-09

4.  Influence of eddy current, Maxwell and gradient field corrections on 3D flow visualization of 3D CINE PC-MRI data.

Authors:  Ramona Lorenz; Jelena Bock; Jeff Snyder; Jan G Korvink; Bernd A Jung; Michael Markl
Journal:  Magn Reson Med       Date:  2013-09-04       Impact factor: 4.668

5.  Four-dimensional Flow MRI as a Marker for Risk Stratification of Gastroesophageal Varices in Patients with Liver Cirrhosis.

Authors:  Utaroh Motosugi; Alejandro Roldán-Alzate; Peter Bannas; Adnan Said; Sean Kelly; Ryan Zea; Oliver Wieben; Scott B Reeder
Journal:  Radiology       Date:  2018-10-16       Impact factor: 11.105

6.  Usefulness of Contrast-Enhanced Ultrasonography for Predicting Esophageal Varices in Patients with Hepatitis B Virus (HBV)-Related Cirrhosis.

Authors:  Jun Li; Jin-Chun Feng; Xin-Yu Peng; Xiang-Wei Wu; Ting-Ting Du; Jia-Jia Wang; Shu-Xin Tian; Gui-Lin Lu
Journal:  Med Sci Monit       Date:  2017-05-12

7.  Validation of the liver traffic light test as a predictive model for survival and development of liver-related events.

Authors:  Rochelle Sylvester; Theresa J Hydes; Alan Hales; Roger Williams; Nick Sheron
Journal:  JGH Open       Date:  2021-03-27

8.  Vascular assessment of liver disease-towards a new frontier in MRI.

Authors:  Manil D Chouhan; Mark F Lythgoe; Rajeshwar P Mookerjee; Stuart A Taylor
Journal:  Br J Radiol       Date:  2016-05-16       Impact factor: 3.039

Review 9.  Νon-invasive screening for esophageal varices in patients with liver cirrhosis.

Authors:  Andreas Karatzas; Christos Konstantakis; Ioanna Aggeletopoulou; Christina Kalogeropoulou; Konstantinos Thomopoulos; Christos Triantos
Journal:  Ann Gastroenterol       Date:  2018-03-03
  9 in total

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