Evidence map›Paper›PMID 31410603›Full record

ArticleEuropean radiology2020

Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods.

Pandji Triadyaksa, Dirkjan Kuijpers, Tugba Akinci D'Antonoli, Jelle Overbosch, Mieneke Rook, J Martijn van Swieten, Matthijs Oudkerk, Paul E Sijens

Abstract readComparative Study
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Cardiac TJournal of magnetic resonance imaging : JMRI · 2020
    Review
  4. Review
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

8 authors.

Pandji TriadyaksaUniversity of Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.
Dirkjan KuijpersDepartment of Radiology, HMC-Bronovo, Bronovolaan 5, The Hague, 2597 AX, The Netherlands.
Tugba Akinci D'AntonoliUniversity of Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.
Jelle OverboschDepartment of Radiology, University Medical Center Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.
Mieneke RookUniversity of Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.
J Martijn van SwietenDepartment of Radiology, University Medical Center Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.
Matthijs OudkerkUniversity of Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.
Paul E SijensUniversity of Groningen, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands. p.e.sijens@umcg.nl.ORCID http://orcid.org/0000-0003-4184-3736

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the robustness of native T1 mapping using mean and median pixel-wise quantification methods.

methodsFifty-seven consecutive patients without overt signs of heart failure were examined in clinical routine for suspicion of cardiomyopathy. MRI included the acquisition of native T1 maps by a motion-corrected modified Look-Locker inversion recovery sequence at 1.5 T. Heart function status according to four established volumetric left ventricular (LV) cardio MRI parameter thresholds was used for retrospective separation into subgroups of normal (n = 26) or abnormal heart function (n = 31). Statistical normality of pixel-wise T1 was tested on each myocardial segment and mean and median segmental T1 values were assessed.

resultsSegments with normally distributed pixel-wise T1 (57/58%) showed no difference between mean and median quantification in either patient group, while differences were highly significant (p < 0.001) for the respective 43/42% non-normally distributed segments. Heart function differentiation between two patient groups was significant in 14 myocardial segments (p < 0.001-0.040) by median quantification compared with six (p < 0.001-0.042) by using the mean. The differences by median quantification were observed between the native T1 values of the three coronary artery territories of normal heart function patients (p = 0.023) and insignificantly in the abnormal patients (p = 0.053).

conclusionMedian quantification increases the robustness of myocardial native T1 definition, regardless of statistical normality of the data. Compared with the currently prevailing method of mean quantification, differentiation between LV segments and coronary artery territories is better and allows for earlier detection of heart function impairment. KEY POINTS: • Median pixel-wise quantification of native T1 maps is robust and can be applied regardless of the statistical distribution of data points. • Median quantification is more sensitive to early heart function abnormality compared with mean quantification. • The new method yields significant native T1 value differentiation between the three coronary artery territories.

Indexed as

AdultCardiomyopathiesFemaleHeartHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesCardiomyopathiesMagnetic resonance imagingMyocardiumStatistical distribution

Identifiers

PMID31410603
PMCPMC6890701

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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.