Skip to content
2000
  1. Home
  2. A-Z Publications
  3. Current Medical Imaging
  4. Volume 20, Issue 1
  5. Article
Volume 20, Issue 1
  • ISSN: 1573-4056
  • E-ISSN: 1875-6603
file format pdf download PDF
side by side viewer icon HTML

Abstract

Aim

To identify age-matched healthy volunteers, non-cirrhotic chronic liver disease (CLD) and cirrhotic patients based on portal hemodynamic parameters using 4D flow MRI.

Methods

A total of 10 age-matched healthy volunteers and 69 CLD patients were enrolled and underwent 4D flow MRI prospectively. 4D flow MR images were processed by an MD in biomedical engineering working on the GTFlow platform. Portal hemodynamic parameters include net flow (mL/cycle), flow volume per second through the lumen (mL/sec), average flow velocity (cm/sec), and maximum flow velocity (cm/sec). The difference in portal hemodynamic parameters of 4D flow MRI was compared among healthy volunteers, non-cirrhotic CLD patients and patients with cirrhosis by one-way ANOVA or Kruskal-Wallis nonparametric test and post hoc tests.

Results

10 CLD patients without cirrhosis and 56 patients with cirrhosis were eventually included, along with 10 healthy volunteers who were divided into three groups. 3 patients with cirrhosis whose image quality did not meet the requirements were excluded. There were no significant differences in portal hemodynamic parameters among the three groups except portal average velocity (P > 0.05). There was no statistical difference in all portal hemodynamic parameters of 4D flow MRI between healthy volunteers and patients with cirrhosis (P > 0.05). There were significant differences in portal average velocity between non-cirrhotic CLD patients, healthy volunteers and patients with cirrhosis, respectively (11.44±3.93 8.10±2.66, P=0.013; 11.44±3.93 8.60±2.22, P=0.007).

Conclusion

Portal average velocity obtained by 4D flow MRI can be an auxiliary means to identify cirrhosis in patients with CLD.

© 2024 The Author(s). Published by Bentham Science Publisher.
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Loading

Article metrics loading...

/content/journals/cmir/10.2174/0115734056269300231127052836
2024-02-27
2025-05-07

  • From This Site

    /content/journals/cmir/10.2174/0115734056269300231127052836
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
The full text of this item is not currently available.

References

  1. de FranchisR. BoschJ. Garcia-TsaoG. ReibergerT. RipollC. BavenoV. II Faculty. Baveno VII - Renewing consensus in portal hypertension.J. Hepatol.202276495997410.1016/j.jhep.2021.12.02235120736
     [Google Scholar]
  2. Garcia-TsaoG. AbraldesJ.G. BerzigottiA. BoschJ. Portal hypertensive bleeding in cirrhosis: Risk stratification, diagnosis, and management: 2016 practice guidance by the American Association for the study of liver diseases.Hepatology201765131033510.1002/hep.2890627786365
     [Google Scholar]
  3. ShararaA.I. RockeyD.C. Gastroesophageal variceal hemorrhage.N. Engl. J. Med.2001345966968110.1056/NEJMra00300711547722
     [Google Scholar]
  4. LongB KoyfmanA GottliebM. What is the Efficacy of Initial Therapies for Bleeding from Esophageal Varices in Adult Patients With Cirrhosis?Ann Emerg Med202121S0196064400423-6.
     [Google Scholar]
  5. IsodaH. FukuyamaA. Quality control for 4D flow MR imaging.Magn. Reson. Med. Sci.202221227829210.2463/mrms.rev.2021‑016535197395
     [Google Scholar]
  6. SoulatG. McCarthyP. MarklM. 4D flow with MRI.Annu. Rev. Biomed. Eng.202022110312610.1146/annurev‑bioeng‑100219‑11005532155346
     [Google Scholar]
  7. DyverfeldtP. BissellM. BarkerA.J. BolgerA.F. CarlhällC.J. EbbersT. FranciosC.J. FrydrychowiczA. GeigerJ. GieseD. HopeM.D. KilnerP.J. KozerkeS. MyersonS. NeubauerS. WiebenO. MarklM. 4D flow cardiovascular magnetic resonance consensus statement.J. Cardiovasc. Magn. Reson.20151717210.1186/s12968‑015‑0174‑526257141
     [Google Scholar]
  8. MaL.E. MarklM. ChowK. HuhH. FormanC. ValiA. GreiserA. CarrJ. SchnellS. BarkerA.J. JinN. Aortic 4D flow MRI in 2 minutes using compressed sensing, respiratory controlled adaptive k‐space reordering, and inline reconstruction.Magn. Reson. Med.20198163675369010.1002/mrm.2768430803006
     [Google Scholar]
  9. HaarbyeS.O. NielsenM.B. HansenA.E. LauridsenC.A. Four-dimensional flow MRI of abdominal veins: A systematic review.Diagnostics202111576710.3390/diagnostics1105076733923366
     [Google Scholar]
  10. BerzigottiA. TsochatzisE. BoursierJ. CasteraL. CazzagonN. Friedrich-RustM. PettaS. ThieleM. European association for the study of the liver. Electronic address: easloffice@easloffice.eu Clinical Practice Guideline Panel Chair EASL Governing Board representative Panel members EASL Clinical Practice Guidelines on non-invasive tests for evaluation of liver disease severity and prognosis – 2021 update.J. Hepatol.202175365968910.1016/j.jhep.2021.05.02534166721
     [Google Scholar]
  11. KellerE.J. CollinsJ.D. RigsbyC. CarrJ.C. MarklM. SchnellS. Superior abdominal 4D flow MRI data consistency with adjusted preprocessing workflow and noncontrast acquisitions.Acad. Radiol.201724335035810.1016/j.acra.2016.10.00727940231
     [Google Scholar]
  12. Roldán-AlzateA. FrydrychowiczA. NiespodzanyE. LandgrafB.R. JohnsonK.M. WiebenO. ReederS.B. In vivo validation of 4D flow MRI for assessing the hemodynamics of portal hypertension.J. Magn. Reson. Imaging20133751100110810.1002/jmri.2390623148034
     [Google Scholar]
  13. StankovicZ. CsatariZ. DeibertP. EuringerW. BlankeP. KreiselW. Abdullah ZadehZ. KallfassF. LangerM. MarklM. Normal and altered three-dimensional portal venous hemodynamics in patients with liver cirrhosis.Radiology2012262386287310.1148/radiol.1111012722357888
     [Google Scholar]
  14. Roldán-AlzateA. FrydrychowiczA. SaidA. JohnsonK.M. FrancoisC.J. WiebenO. ReederS.B. Impaired regulation of portal venous flow in response to a meal challenge as quantified by 4D flow MRI.J. Magn. Reson. Imaging20154241009101710.1002/jmri.2488625772828
     [Google Scholar]
  15. BrunsingR.L. BrownD. AlmahoudH. KonoY. LoombaR. VodkinI. SirlinC.B. AlleyM.T. VasanawalaS.S. HsiaoA. Quantification of the hemodynamic changes of cirrhosis with free‐breathing self‐navigated MRI.J. Magn. Reson. Imaging20215351410142110.1002/jmri.2748833594733
     [Google Scholar]
  16. BaneO. PetiS. WagnerM. HectorsS. DyvorneH. MarklM. TaouliB. Hemodynamic measurements with an abdominal 4D flow MRI sequence with spiral sampling and compressed sensing in patients with chronic liver disease.J. Magn. Reson. Imaging2019494994100510.1002/jmri.2630530318674
     [Google Scholar]
  17. Roldán-AlzateA. CampoC.A. MaoL. SaidA. WiebenO. ReederS.B. Characterization of mesenteric and portal hemodynamics using 4D flow MRI: The effects of meals and diurnal variation.Abdom. Radiol.20224762106211410.1007/s00261‑022‑03513‑535419747
     [Google Scholar]
  18. CoxE.F. PalaniyappanN. AithalG.P. GuhaI.N. FrancisS.T. Using MRI to study the alterations in liver blood flow, perfusion, and oxygenation in response to physiological stress challenges: Meal, hyperoxia, and hypercapnia.J. Magn. Reson. Imaging20194961577158610.1002/jmri.2634130353969
     [Google Scholar]
  19. RothenbergerS.M. PatelN.M. ZhangJ. SchnellS. CraigB.A. AnsariS.A. MarklM. VlachosP.P. RayzV.L. Automatic 4D flow MRI segmentation using the standardized difference of means velocity.IEEE Trans. Med. Imaging20234282360237310.1109/TMI.2023.325173437028010
     [Google Scholar]
  20. GoceriE. UnluM.Z. GuzelisC. DicleO. An automatic level set based liver segmentation from MRI data sets2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)Istanbul, Turkey2012192!9710.1109/IPTA.2012.6469551
     [Google Scholar]
  21. DomingoJ. DuraE. GöçeriE. Iteratively learning a liver segmentation using probabilistic atlases: Preliminary results15th IEEE International Conference on Machine Learning and Applications (ICMLA)Anaheim, CA, USA201659359810.1109/ICMLA.2016.0104
     [Google Scholar]
  22. OechteringT.H. RobertsG.S. PanagiotopoulosN. WiebenO. Roldán-AlzateA. ReederS.B. Abdominal applications of quantitative 4D flow MRI.Abdom. Radiol.20214793229325010.1007/s00261‑021‑03352‑w34837521
     [Google Scholar]
/content/journals/cmir/10.2174/0115734056269300231127052836
Loading
4D Flow MRI of Portal Vein Hemodynamics in Healthy Volunteers and Patients with Chronic Liver Disease
Curr. Med. Imaging 20, e15734056269300 (2024); https://doi.org/10.2174/0115734056269300231127052836
/content/journals/cmir/10.2174/0115734056269300231127052836
/content/journals/cmir/10.2174/0115734056269300231127052836
Loading

Data & Media loading...


  • Article Type:     Research Article
Keyword(s): 4D flow MRI; Chronic liver disease; Cirrhosis; Hemodynamics; Patients; Portal vein

Most Cited Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test