Evidence map›Paper›PMID 24748411›Full record

ArticlePloS one2014

Physiologically realistic and validated mathematical liver model reveals [corrected] hepatobiliary transfer rates for Gd-EOB-DTPA using human DCE-MRI data.

Mikael Fredrik Forsgren, Olof Dahlqvist Leinhard, Nils Dahlström, Gunnar Cedersund, Peter Lundberg

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Species-Specific Hepatic Uptake of [Molecular imaging and biology · 2025
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Mikael Fredrik ForsgrenWolfram MathCore AB, Linköping, Sweden, and Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; Department of Radiation Physics and Division of Radiological Sciences, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Olof Dahlqvist LeinhardDepartment of Radiation Physics and Division of Radiological Sciences, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Nils DahlströmCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; Department of Radiology and Division of Radiological Sciences, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Gunnar CedersundDepartment of Experimental Medicine, Linköping University, Linköping, Sweden; Systems Biology, Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
Peter LundbergCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; Department of Radiation Physics, Department of Radiology and Division of Radiological Sciences, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDiffuse liver disease (DLD), such as non-alcoholic fatty liver disease (NASH) and cirrhosis, is a rapidly growing problem throughout the Westernized world. Magnetic resonance imaging (MRI), based on uptake of the hepatocyte-specific contrast agent (CA) Gd-EOB-DTPA, is a promising non-invasive approach for diagnosing DLD. However, to fully utilize the potential of such dynamic measurements for clinical or research purposes, more advanced methods for data analysis are required.

methodsA mathematical model that can be used for such data-analysis was developed. Data was obtained from healthy human subjects using a clinical protocol with high spatial resolution. The model is based on ordinary differential equations and goes beyond local diffusion modeling, taking into account the complete system accessible to the CA.

resultsThe presented model can describe the data accurately, which was confirmed using chi-square statistics. Furthermore, the model is minimal and identifiable, meaning that all parameters were determined with small degree of uncertainty. The model was also validated using independent data.

conclusionsWe have developed a novel approach for determining previously undescribed physiological hepatic parameters in humans, associated with CA transport across the liver. The method has a potential for assessing regional liver function in clinical examinations of patients that are suffering of DLD and compromised hepatic function.

Indexed as

Contrast MediaGadolinium DTPAMagnetic Resonance ImagingModels, TheoreticalAlgorithmsHumansLiver DiseasesReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPA

Identifiers

PMID24748411
PMCPMC3991717

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Registered trials

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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.