Evidence map›Paper›PMID 30191345›Full record

ArticleMagma (New York, N.Y.)2019

3D SASHA myocardial T1 mapping with high accuracy and improved precision.

Giovanna Nordio, Aurélien Bustin, Markus Henningsson, Imran Rashid, Amedeo Chiribiri, Tevfik Ismail, Freddy Odille, Claudia Prieto, René Michael Botnar

Erratum issuedAbstract read
In one paragraph

Article in Magma (New York, N.Y.), 2019. 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Native myocardial TRadiological physics and technology · 2024
    Article
  2. Motion-compensated TFrontiers in cardiovascular medicine · 2023
    Review
  3. Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022
    Review
  4. Review
  5. Article
  6. Accelerated free-breathing whole-heart 3D TMagnetic resonance in medicine · 2020
    Article
  7. Article
  8. Whole-heart TMagnetic resonance in medicine · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Giovanna NordioSchool of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK. giovanna.nordio@kcl.ac.uk.ORCID http://orcid.org/0000-0002-7835-2992
Aurélien BustinSchool of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Markus HenningssonSchool of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Imran RashidSchool of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Amedeo ChiribiriSchool of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Tevfik IsmailSchool of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Freddy OdilleImagerie Adaptive Diagnostique et Interventionnelle, INSERM et Université de Lorraine, Nancy, France.
Claudia PrietoSchool of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
René Michael BotnarSchool of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Funding

Training Program in Tumor MicroenvironmentT32CA009676 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Maria G Castro, Analisa Virginia DiFeo · 1992 to 2026
$7.3M
Engineering and Physical Sciences Research Council EP/P001009/1Engineering and Physical Sciences Research Council EP/P007619EPSRC Centre for Doctoral training in Medical Imaging EP/L015226/1Medical Research Council MR/L009676/1Wellcome TrustWellcome Trust WT/203148/Z/16/Z
6 · The paper itself

Abstract

purposeTo improve the precision of a free-breathing 3D saturation-recovery-based myocardial T1 mapping sequence using a post-processing 3D denoising technique.

methodsA T1 phantom and 15 healthy subjects were scanned on a 1.5 T MRI scanner using 3D saturation-recovery single-shot acquisition (SASHA) for myocardial T1 mapping. A 3D denoising technique was applied to the native T1-weighted images before pixel-wise T1 fitting. The denoising technique imposes edge-preserving regularity and exploits the co-occurrence of 3D spatial gradients in the native T1-weighted images by incorporating a multi-contrast Beltrami regularization. Additionally, 2D modified Look-Locker inversion recovery (MOLLI) acquisitions were performed for comparison purposes. Accuracy and precision were measured in the myocardial septum of 2D MOLLI and 3D SASHA T1 maps and then compared. Furthermore, the accuracy and precision of the proposed approach were evaluated in a standardized phantom in comparison to an inversion-recovery spin-echo sequence (IRSE).

resultsFor the phantom study, Bland-Altman plots showed good agreement in terms of accuracy between IRSE and 3D SASHA, both on non-denoised and denoised T1 maps (mean difference -1.4 ± 18.9 ms and -4.4 ± 21.2 ms, respectively), while 2D MOLLI generally underestimated the T1 values (69.4 ± 48.4 ms). For the in vivo study, there was a statistical difference between the precision measured on 2D MOLLI and on non-denoised 3D SASHA T1 maps (P = 0.005), while there was no statistical difference after denoising (P = 0.95).

conclusionThe precision of 3D SASHA myocardial T1 mapping was substantially improved using a 3D Beltrami regularization based denoising technique and was similar to that of 2D MOLLI T1 mapping, while preserving the higher accuracy and whole-heart coverage of 3D SASHA.

Indexed as

Cardiac Imaging TechniquesFeasibility StudiesHealthy VolunteersHeartHumansImage EnhancementImaging, Three-DimensionalMagnetic Resonance ImagingPhantoms, ImagingReproducibility of ResultsAccuracyCardiac MRIDenoisingMyocardial T1 mappingPrecision

Identifiers

PMID30191345
PMCPMC6424941

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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.