Evidence map›Paper›PMID 35437686›Full record

ArticleMagma (New York, N.Y.)2022

T2* assessment of the three coronary artery territories of the left ventricular wall by different monoexponential truncation methods.

Pandji Triadyaksa, Jelle Overbosch, Matthijs Oudkerk, Paul Eduard Sijens

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 2 countries.

Pandji TriadyaksaUniversity of Groningen, 9700 RB, Groningen, The Netherlands. p.triadyaksa@fisika.fsm.undip.ac.id.ORCID http://orcid.org/0000-0001-7536-3592
Jelle OverboschDepartment of Radiology, University of Groningen, University Medical Center Groningen, EB45, PO Box 30001, 9700 RB, Groningen, The Netherlands.
Matthijs OudkerkUniversity of Groningen, 9700 RB, Groningen, The Netherlands.
Paul Eduard SijensUniversity of Groningen, 9700 RB, Groningen, The Netherlands.
University Medical Center Groningen · NLDiponegoro University · IDUniversity of Groningen · NL

Funding

Direktorat Jenderal Pendidikan Tinggi 617/E4.4/K/2011
6 · The paper itself

Abstract

objectivesThis study aimed at evaluating left ventricular myocardial pixel-wise T2* using two truncation methods for different iron deposition T2* ranges and comparison of segmental T2* in different coronary artery territories. MATERIAL AND

methodsBright blood multi-gradient echo data of 30 patients were quantified by pixel-wise monoexponential T2* fitting with its R

resultsThe right coronary artery has a significantly higher T2* value than the other coronary artery territories. No significant difference was found in classifying severe iron by the two truncation methods in any myocardial region, whereas in moderate iron, it is only apparent at septal segments. The R

conclusionClear T2* differentiation between the three coronary territories by the two truncation methods is demonstrated. The two truncation methods can be used interchangeably in classifying severe and moderate iron deposition at the recommended septal region. However, in patients with low iron indication, different results by the two truncation methods can mislead the investigation of early iron level progression.

Indexed as

Coronary VesselsIron OverloadHeart VentriclesHumansIronMagnetic Resonance ImagingMyocardiumIronBright blood multi-gradient echoCoronary artery territoriesMyocardial iron depositionPixel-wise T2*R 2 truncation methodSNR truncation method

Identifiers

PMID35437686
PMCPMC9463254
OpenAlexW4224223099

What OpenQuestion holds

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LicenceCC BY
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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.