ArticleScientific reports2023
Hemodynamic changes in the portal vein with age: evaluation using four-dimensional flow MRI.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- A machine learning-derived biological age model for liver grafts provides a superior assessment of aging compared to chronological age in transplantation.Scientific reports · 2026Article
- [Novel advances following the integration of Baveno VII consensus definitions for the non-invasive testing of portal hypertension].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026Review
- Review
- Splanchnic hemodynamic parameters measured with 4D flow MRI can diagnose severe portal hypertension.European radiology · 2026Article
- The role and function of lncRNA in ageing-associated liver diseases.RNA biology · 2025Review
- Biomarkers of ageing of humans and non-human primates.Nature reviews. Molecular cell biology · 2025Review
- Effect of Bile on Hemodynamics and Blood Micro-Rheological Parameters in Experimental Models of Bilhemia.Metabolites · 2024Article
- A biomarker framework for liver aging: the Aging Biomarker Consortium consensus statement.Life medicine · 2024Article
- Four-dimensional flow MR imaging for evaluating treatment response after transcatheter arterial chemoembolization in cirrhotic patients with hepatocellular carcinoma.La Radiologia medica · 2023Article
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Authors and funding
4 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Aging process is associated with gradual change of liver function and structure. The goal of this study was to evaluate age-related hemodynamic changes in the portal vein (PV) using four-dimensional (4D) flow MRI in healthy adults. A total of 120 healthy subjects were enrolled and categorized into groups A (n = 25, 30-39 years), B (n = 31, 40-49 years), C (n = 34, 50-59 years), and D (n = 30, 60-69 years). All subjects underwent 4D flow data acquisition using a 3-T MRI system to measure the hemodynamic parameters in the main PV. The clinical characteristics and 4D flow parameters were compared among the groups using analysis of variance and analysis of covariance after controlling for significant covariates, accordingly. The outcome metric applying the age-related quadratic model to estimate the age at which 4D flow parameters are the highest (the peak age) as well as the rates of age-related 4D flow changes was estimated. The average area, average through-plane velocity, peak velocity magnitude, average net flow, peak flow, and net forward volume in group D were significantly lower than those in groups A, B and C (P < 0.05). Group C showed significantly lower values of the average through-plane velocity and peak velocity magnitude than those of group B (P < 0.05). The peak age computed was approximately 43-44 years of age for all 4D flow parameters. The rates of age-related 4D flow changes for all 4D flow parameters were negatively correlated with age (P < 0.05). The volume and velocity of the blood flow through the PV peaked at approximately 43-44 years of age and decreased significantly after 60 years of age.
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