Evidence map›Paper›PMID 35628989›Full record

ArticleJournal of clinical medicine2022

Comparison of Hepatic Tissue Characterization between T1-Mapping and Non-Contrast Computed Tomography.

Constanze Bardach, Leonie Morski, Katharina Mascherbauer, Carolina Donà, Matthias Koschutnik, Kseniya Halavina, Christian Nitsche, Dietrich Beitzke, Christian Loewe, Elisabeth Waldmann and 4 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Constanze BardachDivision of Cardiovascular and Interventional Radiology, Medical University of Vienna, 1090 Vienna, Austria.
Leonie MorskiDivision of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
Katharina MascherbauerDivision of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
Carolina DonàDivision of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
Matthias KoschutnikDivision of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-6164-8773
Kseniya HalavinaDivision of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
Christian NitscheDivision of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-0141-7639
Dietrich BeitzkeDivision of Cardiovascular and Interventional Radiology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-3179-3827
Christian LoeweDivision of Cardiovascular and Interventional Radiology, Medical University of Vienna, 1090 Vienna, Austria.
Elisabeth WaldmannDivision of Gastroenterology and Hepatology, Medical University of Vienna, 1090 Vienna, Austria.
Michael TraunerDivision of Gastroenterology and Hepatology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-1275-6425
Julia MascherbauerDivision of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.
Christian HengstenbergDivision of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-8284-2994
Andreas KammerlanderDivision of Cardiology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-7632-9879

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-contrast computed tomography (CT) is frequently used to assess non-alcoholic/metabolic fatty liver disease (NAFLD/MAFLD), which is associated with cardiovascular risk. Although liver biopsy is considered the gold standard for diagnosis, standardized scores and non-contrast computed tomography (CT) are used instead. On standard cardiac T1-maps on cardiovascular imaging (CMR) exams for myocardial tissue characterization hepatic tissue is also visible. We hypothesized that there is a significant correlation between hepatic tissue T1-times on CMR and Hounsfield units (HU) on non-contrast CT. Methods: We retrospectively identified patients undergoing a non-contrast CT including the abdomen, a CMR including T1-mapping, and laboratory assessment within 30 days. Patients with storage diseases were excluded. Results: We identified 271 patients (62 ± 15 y/o, 49% female) undergoing non-contrast CT and CMR T1-mapping within 30 days. Mean hepatic HU values were 54 ± 11 on CT and native T1-times were 598 ± 102 ms on CMR and there was a weak, but significant, correlation between these parameters (r = −0.136, p = 0.025). On age and sex adjusted regression analysis, lower liver HU values indicated a dismal cardiometabolic risk profile, including higher HbA1C (p = 0.005) and higher body mass index (p < 0.001). In contrast, native hepatic T1-times yielded a more pronounced cardiac risk profile, including impaired systolic function (p = 0.045) and higher NT-proBNP values (N-Terminal Brain Natriuretic Peptide) (p = 0.004). Conclusions: Hepatic T1-times are easy to assess on standard T1-maps on CMR but only weakly correlated with hepatic HU values on CT and clinical NAFLD/MAFLD scores. Liver T1-times, however, are linked to impaired systolic function and higher natriuretic peptide levels. The prognostic value and clinical usefulness of hepatic T1-times in CMR cohorts warrants further research.

Indexed as

cardiovascular magnetic resonance imagingcomputed tomographyMAFLDNAFLD

Identifiers

PMID35628989
PMCPMC9144343

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.