Evidence map›Paper›PMID 29112315›Full record

ArticleJournal of magnetic resonance imaging : JMRI2018

Reverse double inversion-recovery: Improving motion robustness of cardiac T

Chenxi Hu, Steffen Huber, Syed R Latif, Guido Santacana-Laffitte, Hamid R Mojibian, Lauren A Baldassarre, Dana C Peters

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Black-Blood Contrast in Cardiovascular MRI.Journal of magnetic resonance imaging : JMRI · 2022
    Review
  5. Cardiac T2 mapping: robustness and homogeneity of standardized in-line analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2020
    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, Connecticut, USA.
Steffen HuberDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.
Syed R LatifDepartment of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Guido Santacana-LaffitteDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.
Hamid R MojibianDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.
Lauren A BaldassarreDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.
Dana C PetersDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.
Yale University · US

Funding

Detection of Atrial Remodeling by MRI: Validation and Emerging SignificanceR01HL122560 · NHLBI · YALE UNIVERSITY · PI PETERS, DANA C · 2015 to 2018
$1.7M
NHLBI NIH HHS R01 HL122560
6 · The paper itself

Abstract

backgroundCardiac dark-blood turbo spin-echo (TSE) imaging is sensitive to through-plane motion, resulting in myocardial signal reduction. PURPOSE: To propose and validate reverse double inversion-recovery (RDIR)-a dark-blood preparation with improved motion robustness for the cardiac dark-blood TSE sequence. STUDY TYPE: Prospective. POPULATION: Healthy volunteers (n = 10) and patients (n = 20). FIELD STRENGTH: 1.5T (healthy volunteers) and 3T (patients). ASSESSMENT: Compared to double inversion recovery (DIR), RDIR swaps the two inversion pulses in time and places the slice-selective 180° in late-diastole of the previous cardiac cycle to minimize slice misregistration. RDIR and DIR were performed in the same left-ventricular basal short-axis slice. Healthy subjects were imaged with two preparation slice thicknesses, 110% and 200%, while patients were imaged using a 200% slice thickness only. Images were assessed quantitatively, by measuring the myocardial signal heterogeneity and the extent of dropout, and also qualitatively on a 5-point scale. STATISTICAL TESTS: Quantitative and qualitative data were assessed with Student's t-test and Wilcoxon signed-rank test, respectively.

resultsIn healthy subjects, RDIR with 110% slice thickness significantly reduced signal heterogeneity in both the left ventricle (LV) and right ventricle (RV) (LV: P = 0.006, RV: P < 0.0001) and the extent of RV dropout (P < 0.0001), while RDIR with 200% slice thickness significantly reduced RV signal heterogeneity (P = 0.001) and the extent of RV dropout (P = 0.0002). In patients, RDIR significantly reduced RV myocardial signal heterogeneity (0.31 vs. 0.43; P = 0.003) and the extent of RV dropout (24% vs. 46%; P = 0.0005). LV signal heterogeneity exhibited a trend towards improvement with RDIR (0.12 vs. 0.16; P = 0.06). Qualitative evaluation showed a significant improvement of LV and RV visualization in RDIR compared to DIR (LV: P = 0.04, RV: P = 0.0007) and a significantly improved overall image quality (P = 0.03). DATA

conclusionRDIR TSE is less sensitive to through-plane motion, potentiating increased clinical utility for black-blood TSE. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:1498-1508.

Indexed as

Magnetic Resonance ImagingMotionAdultAgedAlgorithmsArtifactsComputer SimulationDiastoleFemaleHealthy VolunteersHeartHeart DiseasesHeart VentriclesHumansImage EnhancementImage Interpretation, Computer-Assisteddark blood imagingdouble inversion recoveryedema imagingmotion artifactsright ventricleturbo spin-echo (TSE)

Identifiers

PMID29112315
PMCPMC6346424
OpenAlexW2767381182

What OpenQuestion holds

Textmetadata
LicenceTDM
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.