ArticleInsights into imaging2025
Short-term repeatability and postprandial effect assessment of liver perfusion quantification in healthy subjects using arterial spin labeling MRI.
Article in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
objectivesTo assess the stability of liver perfusion quantification using arterial spin labeling MRI (ASL-MRI) in healthy subjects. MATERIALS AND
methodsThe arterial and portal venous liver perfusion were measured with two pseudo-continuous ASL acquisitions at a 3.0-Tesla MRI system. To assess the short-term repeatability of ASL-MRI, twelve healthy subjects underwent three consecutive ASL examinations in the fasting state. Following meal ingestion, the postprandial liver perfusion was measured. Changes in liver perfusion measured by ASL before and after meal ingestion, and their correspondence with portal vein hemodynamic variations assessed by Doppler ultrasonography (US), were analyzed to evaluate the stability of ASL in detecting postprandial perfusion alterations.
resultsThe arterial and portal venous liver perfusions in healthy volunteers under the fasting condition were 59.3 ± 17.8 and 237.6 ± 71.9 mL/100 g/min, respectively. Both the arterial and portal venous liver perfusion results demonstrated excellent short-term repeatability (ICCs, 0.97, 0.96; CVs, 6.43%, 6.17%). Furthermore, Bland-Altman plots indicated a high degree of consistency between every two pairs of the three measurements. Compared to the fasting state, the relative changes in postprandial portal venous perfusion measured by ASL-MRI demonstrated a moderate correlation (Pearson correlation coefficient r = 0.66) and good agreement (with all data points in the Bland-Altman plot falling within the limits of agreement) with those in portal vein blood flow measured by Doppler US.
conclusionASL-MRI enables reliable quantification of liver perfusion in healthy individuals under both constant conditions and altered perfusion state induced by a meal. It holds great promise as a non-invasive tool for diagnosing liver disease. CRITICAL RELEVANCE STATEMENT: The short-term repeatability and postprandial effect of liver perfusion quantification using arterial spin labeling MRI in healthy subjects both exhibited excellent performance, indicating the potential of this technique as a non-invasive tool for diagnosing liver diseases. KEY POINTS: Arterial spin labeling (ASL)-MRI enables reliable liver perfusion quantification in healthy individuals. ASL-MRI showed great short-term repeatability for liver perfusion measurement in the fasting state. ASL-MRI and US showed a moderate correlation in measuring postprandial portal venous hemodynamics change.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.