Evidence map›Paper›PMID 33618722›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2021

Comparison between conventional and compressed sensing cine cardiovascular magnetic resonance for feature tracking global circumferential strain assessment.

Tomoyuki Kido, Kuniaki Hirai, Ryo Ogawa, Yuki Tanabe, Masashi Nakamura, Naoto Kawaguchi, Akira Kurata, Kouki Watanabe, Michaela Schmidt, Christoph Forman and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% 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, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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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

12 authors at 5 institutions in 3 countries.

Tomoyuki KidoDepartment of Radiology, Ehime University Graduate School of Medicine, Hitsukawa, Toon, Ehime, 791-0295, Japan. tomozo0421@gmail.com.ORCID 0000-0001-5975-8623
Kuniaki HiraiDepartment of Radiology, Uwajima City Hospital, Uwajima, Japan.
Ryo OgawaDepartment of Radiology, Ehime University Graduate School of Medicine, Hitsukawa, Toon, Ehime, 791-0295, Japan.
Yuki TanabeDepartment of Radiology, Ehime University Graduate School of Medicine, Hitsukawa, Toon, Ehime, 791-0295, Japan.
Masashi NakamuraDepartment of Radiology, Ehime University Graduate School of Medicine, Hitsukawa, Toon, Ehime, 791-0295, Japan.
Naoto KawaguchiDepartment of Radiology, Ehime University Graduate School of Medicine, Hitsukawa, Toon, Ehime, 791-0295, Japan.
Akira KurataDepartment of Radiology, Ehime University Graduate School of Medicine, Hitsukawa, Toon, Ehime, 791-0295, Japan.
Kouki WatanabeDepartment of Cardiology, Saiseikai Matsuyama Hospital, Matsuyama, Japan.
Michaela SchmidtSiemens Healthcare GmbH, Erlangen, Germany.
Christoph FormanSiemens Healthcare GmbH, Erlangen, Germany.
Teruhito MochizukiDepartment of Radiology, Yoshino Hospital, Imabari, Japan.
Teruhito KidoDepartment of Radiology, Ehime University Graduate School of Medicine, Hitsukawa, Toon, Ehime, 791-0295, Japan.
Ehime University · JPSiemens Healthineers (Germany) · DESaiseikai Matsuyama Hospital · JPSechenov University · RUUwajima City Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFeature tracking (FT) has become an established tool for cardiovascular magnetic resonance (CMR)-based strain analysis. Recently, the compressed sensing (CS) technique has been applied to cine CMR, which has drastically reduced its acquisition time. However, the effects of CS imaging on FT strain analysis need to be carefully studied. This study aimed to investigate the use of CS cine CMR for FT strain analysis compared to conventional cine CMR.

methodsSixty-five patients with different left ventricular (LV) pathologies underwent both retrospective conventional cine CMR and prospective CS cine CMR using a prototype sequence with the comparable temporal and spatial resolution at 3 T. Eight short-axis cine images covering the entire LV were obtained and used for LV volume assessment and FT strain analysis. Prospective CS cine CMR data over 1.5 heartbeats were acquired to capture the complete end-diastolic data between the first and second heartbeats. LV volume assessment and FT strain analysis were performed using a dedicated software (ci

resultsThere were no significant differences in the GCS (- 17.1% [- 11.7, - 19.5] vs. - 16.1% [- 11.9, - 19.3; p = 0.508) and GCS rate (- 0.8 [- 0.6, - 1.0] vs. - 0.8 [- 0.7, - 1.0]; p = 0.587) obtained using conventional and CS cine CMR. The GCS obtained using both methods showed excellent agreement (y = 0.99x - 0.24; r = 0.95; p < 0.001). The Bland-Altman analysis revealed that the mean difference in the GCS between the conventional and CS cine CMR was 0.1% with limits of agreement between -2.8% and 3.0%. No significant differences were found in all LV volume assessment between both types of cine CMR.

conclusionCS cine CMR could be used for GCS assessment by CMR-FT as well as conventional cine CMR. This finding further enhances the clinical utility of high-speed CS cine CMR imaging.

Indexed as

Image Interpretation, Computer-AssistedMagnetic Resonance Imaging, CineVentricular Function, LeftVentricular RemodelingAgedFemaleHeart DiseasesHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRetrospective StudiesCardiovascular magnetic resonanceCompressed sensingFeature trackingMyocardial strain

Identifiers

PMID33618722
PMCPMC7898736
OpenAlexW3132089701

What OpenQuestion holds

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LicenceCC BY
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.