Evidence map›Paper›PMID 34751885›Full record

ArticleThe international journal of cardiovascular imaging2022

The diagnostic accuracy of truncated cardiovascular MR protocols for detecting non-ischemic cardiomyopathies.

K Hirschberg, Sz M Braun, O Paul, M Ochs, J Riffel, F Andre, J Salatzki, J Lebel, J Luu, E Hillier and 5 more

Open access · hybridAbstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

15 authors at 4 institutions in 3 countries.

K HirschbergHeart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest, 1122, Hungary. hirschbergkristof@gmail.com.
Sz M BraunHeart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest, 1122, Hungary.
O PaulDepartment of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany.
M OchsDepartment of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany.
J RiffelDepartment of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany.
F AndreDepartment of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany.
J SalatzkiDepartment of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany.
J LebelDepartments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, Canada.
J LuuDepartments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, Canada.
E HillierDepartments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, Canada.
M FinsterHeart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest, 1122, Hungary.
H VagoHeart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest, 1122, Hungary.
B MerkelyHeart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest, 1122, Hungary.
H A KatusDepartment of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany.
M G FriedrichDepartment of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany.
Heidelberg University · DESemmelweis University · HUMcGill University Health Centre · CAUniversity Hospital Heidelberg · DE

Funding

Ministry for Innovation and Technology in Hungary 2020-4.1.1.-TKP2020Nemzeti Kutatási, Fejlesztési és Innovaciós Alap NVKP_16-1-2016-0017
6 · The paper itself

Abstract

Cardiovascular magnetic resonance imaging is one of the most important diagnostic modalities in the evaluation of cardiomyopathies. However, significant limitations are the complex and time-consuming workflows and the need of contrast agents. The aim of this multi-center retrospective study was to assess workflows and diagnostic value of a short, contrast agent-free cardiac magnetic resonance protocol. 160 patients from Heidelberg, Germany and 119 patients from Montreal, Canada with suspected cardiomyopathy and 20 healthy volunteers have been enrolled. Scans were performed at a 1.5Tesla or 3Tesla scanner in Heidelberg and at a 3Tesla scanner in Montreal. We used single-slice T1 map only. A stepwise analysis of images has been performed. The possible differential diagnosis after each step has been defined. T1-values and color-encoded T1 maps significantly contributed to the differential diagnosis in 54% of the cases (161/299); the final diagnosis has been done without late gadolinium enhancement images in 83% of healthy individuals, in 99% of patients with dilated cardiomyopathy, in 93% of amyloidosis patients, in 94% of patients with hypertrophic cardiomyopathy and in 85% of patients with hypertensive heart disease, respectively. Comparing the scan time with (48 ± 7 min) vs. without contrast agent (23 ± 5 min), significant time saving could be reached by the short protocol. Subgroup analysis showed the most additional diagnostic value of T1 maps in amyloidosis and hypertrophic cardiomyopathy or in confirmation of normal findings. In patients with unclear left ventricular hypertrophy, a short, non-contrast protocol can be used for diagnostic decision-making, if the quality of the T1 map is diagnostic, even if only one slice is available.

Indexed as

Cardiac imaging techniquesCardiomyopathyContrast agentMagnetic resonanceT1 mapping

Identifiers

PMID34751885
PMCPMC11129993
OpenAlexW3211439813

What OpenQuestion holds

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LicenceCC BY
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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.