Evidence map›Paper›PMID 28821300›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2017

T1-refBlochi: high resolution 3D post-contrast T1 myocardial mapping based on a single 3D late gadolinium enhancement volume, Bloch equations, and a reference T1.

Chenxi Hu, Albert J Sinusas, Steffen Huber, Stephanie Thorn, Mitchel R Stacy, Hamid Mojibian, Dana C Peters

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. AUTOMATED MEASUREMENTS OF MITRAL AND TRICUSPID ANNULAR DIMENSIONS IN CARDIOVASCULAR MAGNETIC RESONANCE.Proceedings. IEEE International Symposium on Biomedical Imaging · 2022
    Article
  3. Article
  4. Article
  5. MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    Article
  6. Journal of Cardiovascular Magnetic Resonance: 2017/2018 in review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019
    Review
  7. Review
  8. Journal of Cardiovascular Magnetic Resonance 2017.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018
    Review
  9. TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
    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

7 authors at 1 institution in 1 country.

Chenxi HuDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA. chenxi.hu@yale.edu.ORCID http://orcid.org/0000-0003-2551-3075
Albert J SinusasDepartment of Internal Medicine (Cardiology), Yale School of Medicine, New Haven, CT, 06520, USA.
Steffen HuberDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.
Stephanie ThornDepartment of Internal Medicine (Cardiology), Yale School of Medicine, New Haven, CT, 06520, USA.
Mitchel R StacyDepartment of Internal Medicine (Cardiology), Yale School of Medicine, New Haven, CT, 06520, USA.
Hamid MojibianDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.
Dana C PetersDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06520, USA.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Molecular Imaging Predicts Atrial Remodeling and Fibrillation VulnerabilityR01HL113352 · NHLBI · YALE UNIVERSITY · PI AKAR, JOSEPH GABRIEL, SINUSAS, ALBERT J · 2013 to 2016
$2.8M
Detection of Atrial Remodeling by MRI: Validation and Emerging SignificanceR01HL122560 · NHLBI · YALE UNIVERSITY · PI PETERS, DANA C · 2015 to 2018
$1.7M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL113352NHLBI NIH HHS R01 HL122560
6 · The paper itself

Abstract

backgroundHigh resolution 3D T1 mapping is important for assessment of diffuse myocardial fibrosis in left atrium or other thin-walled structures. In this work, we investigated a fast single-TI 3D high resolution T1 mapping method that directly transforms a 3D late gadolinium enhancement (LGE) volume to a 3D T1 map.

methodsThe proposed method, T1-refBlochi, is based on Bloch equation modeling of the LGE signal, a single-point calibration, and assumptions that proton density and T2* are relatively uniform in the heart. Several sources of error of this method were analyzed mathematically and with simulations. Imaging was performed in phantoms, eight swine and five patients, comparing T1-refBlochi to a standard spin-echo T1 mapping, 3D multi-TI T1 mapping, and 2D ShMOLLI, respectively.

resultsThe method has a good accuracy and adequate precision, even considering various sources of error. In phantoms, over a range of protocols, heart-rates and T1 s, the bias ±1SD was -3 ms ± 9 ms. The porcine studies showed excellent agreement between T1-refBlochi and the multi-TI method (bias ±1SD = -6 ± 22 ms). The proton density and T2* weightings yielded ratios for scar/blood of 0.94 ± 0.01 and for myocardium/blood of 1.03 ± 0.02 in the eight swine, confirming that sufficient uniformity of proton density and T2* weightings exists among heterogeneous tissues of the heart. In the patients, the mean T1 bias ±1SD in myocardium and blood between T1-refBlochi and ShMOLLI was -9 ms ± 21 ms.

conclusionT1-refBlochi provides a fast single-TI high resolution 3D T1 map of the heart with good accuracy and adequate precision.

Indexed as

AlgorithmsAnimalsCardiomyopathiesComputer SimulationContrast MediaFeasibility StudiesFemaleFibrosisHeart AtriaHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedModels, CardiovascularContrast MediagadobutrolOrganometallic Compounds3D cardiac T1 mappingLate gadolinium enhancementLeft atrial fibrosisSingle-TI T1 mapping

Identifiers

PMID28821300
PMCPMC5563030
OpenAlexW2748956543

What OpenQuestion holds

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LicenceCC BY
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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.