Evidence map›Paper›PMID 30025523›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2018

A multi-band double-inversion radial fast spin-echo technique for T2 cardiovascular magnetic resonance mapping of the heart.

Mahesh Bharath Keerthivasan, Sagar Mandava, Kevin Johnson, Ryan Avery, Rajesh Janardhanan, Diego R Martin, Ali Bilgin, Maria I Altbach

Abstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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
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.

Mahesh Bharath KeerthivasanDepartment of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA.
Sagar MandavaDepartment of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA.
Kevin JohnsonSiemens Medical Solutions USA, Inc., Tucson, AZ, USA.
Ryan AveryDepartment of Medical Imaging, University of Arizona, Tucson, AZ, USA.
Rajesh JanardhananDepartment of Medicine, University of Arizona, Tucson, AZ, USA.
Diego R MartinDepartment of Medical Imaging, University of Arizona, Tucson, AZ, USA.
Ali BilginDepartment of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA.
Maria I AltbachDepartment of Medical Imaging, University of Arizona, Tucson, AZ, USA. maltbach@radiology.arizona.edu.

Funding

Detection of Lipid Infiltration in the Heart with MRIR01HL085385 · NHLBI · UNIVERSITY OF ARIZONA · PI ALTBACH, MARIA I. · 2007 to 2011
$1.5M
NIH HHS R01HL085385
6 · The paper itself

Abstract

backgroundDouble inversion recovery (DIR) fast spin-echo (FSE) cardiovascular magnetic resonance (CMR) sequences are used clinically for black-blood T2-weighted imaging. However, these sequences suffer from slice inefficiency due to the non-selective inversion pulses. We propose a multi-band (MB) encoded DIR radial FSE (MB-DIR-RADFSE) technique to simultaneously excite two slices. This sequence has improved signal-to-noise ratio per unit time compared to a single slice excitation. It is also motion robust and enables the reconstruction of high-resolution black-blood T2-weighted images and T2 maps for the excited slices.

methodsHadamard encoded MB pulses were used in MB-DIR-RADFSE to simultaneously excite two slices. A principal component based iterative reconstruction was used to jointly reconstruct black-blood T2-weighted images and T2 maps. Phantom and in vivo experiments were performed to evaluate T2 mapping performance and results were compared to a T2-prepared balanced steady state free precession (bSSFP) method. The inter-segment variability of the T2 maps were assessed using data acquired on healthy subjects. A reproducibility study was performed to evaluate reproducibility of the proposed technique.

resultsPhantom experiments show that the T2 values estimated from MB-DIR-RADFSE are comparable to the spin-echo based reference, while T2-prepared bSSFP over-estimated T2 values. The relative contrast of the black-blood images from the multi-band scheme was comparable to those from a single slice acquisition. The myocardial segment analysis on 8 healthy subjects indicated a significant difference (p-value < 0.01) in the T2 estimates from the apical slice when compared to the mid-ventricular slice. The mean T2 estimate from 12 subjects obtained using T2-prepared bSSFP was significantly higher (p-value = 0.012) compared to MB-DIR-RADFSE, consistent with the phantom results. The Bland-Altman analysis showed excellent reproducibility between the MB-DIR-RADFSE measurements, with a mean T2 difference of 0.12 ms and coefficient of reproducibility of 2.07 in 15 clinical subjects. The utility of this technique is demonstrated in two subjects where the T2 maps show elevated values in regions of pathology.

conclusionsThe use of multi-band pulses for excitation improves the slice efficiency of the double inversion fast spin-echo pulse sequence. The use of a radial trajectory and a joint reconstruction framework allows reconstruction of TE images and T2 maps for the excited slices.

Indexed as

Case-Control StudiesHeartHeart DiseasesHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingPredictive Value of TestsProspective StudiesReproducibility of ResultsVentricular Function, LeftBlack blood imagingDouble inversion recoveryFast spin echoMulti-band pulsesRadialT2 mapping

Identifiers

PMID30025523
PMCPMC6052643

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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.