Evidence map›Paper›PMID 39424899›Full record

ArticleScientific reports2024

Computed tomography for the detection of myocardial hypoperfusion in acute myocardial infarction and the associated CT-to-catheter time.

Karim Mostafa, Hatim Seoudy, Schekeb Aludin, Domagoj Schunk, Hannes Peckolt, Carmen Wolf, Mohammed Saad, Marcus Both, Olav Jansen, Derk Frank and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Karim MostafaDepartment of Radiology and Neuroradiology, University Medical Center Schleswig Holstein, Campus Kiel, Arnold-Heller-Street 3, 24105, Kiel, Germany. karim.mostafa@uksh.de.
Hatim SeoudyDepartment of Internal Medicine III, Cardiology, Angiology and Critical Care, University Hospital Schleswig Holstein, Kiel, Germany.
Schekeb AludinDepartment of Radiology and Neuroradiology, University Medical Center Schleswig Holstein, Campus Kiel, Arnold-Heller-Street 3, 24105, Kiel, Germany.
Domagoj SchunkInterdisciplinary Emergency Department, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Hannes PeckoltInterdisciplinary Emergency Department, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Carmen WolfDepartment of Radiology and Neuroradiology, University Medical Center Schleswig Holstein, Campus Kiel, Arnold-Heller-Street 3, 24105, Kiel, Germany.
Mohammed SaadDepartment of Internal Medicine III, Cardiology, Angiology and Critical Care, University Hospital Schleswig Holstein, Kiel, Germany.
Marcus BothDepartment of Radiology and Neuroradiology, University Medical Center Schleswig Holstein, Campus Kiel, Arnold-Heller-Street 3, 24105, Kiel, Germany.
Olav JansenDepartment of Radiology and Neuroradiology, University Medical Center Schleswig Holstein, Campus Kiel, Arnold-Heller-Street 3, 24105, Kiel, Germany.
Derk FrankDepartment of Internal Medicine III, Cardiology, Angiology and Critical Care, University Hospital Schleswig Holstein, Kiel, Germany.
Patrick LangguthDepartment of Radiology and Neuroradiology, University Medical Center Schleswig Holstein, Campus Kiel, Arnold-Heller-Street 3, 24105, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergency computed tomography (CT) often does not allow for comprehensive coronary artery assessment. However, CT may reveal pathological myocardial hypoperfusion suggestive of acute myocardial infarction (AMI), especially in patients presenting with a different diagnostic hypothesis. CT hypoperfusion is known to be associated with myocardial infarction, however the diagnostic value of CT hypoperfusion for the detection of AMI is still not well evaluated. This was a single-centre retrospective study including patients who underwent invasive coronary angiography (ICA) due to suspected AMI based on incidental perfusion defects upon emergency CT imaging between 2018 and 2023. A total of 22 patients (mean age 66.3 ± 10.8 years, 11 female) were included in this analysis. The diagnosis of AMI was established in all cases leading to ICA. Culprit coronary artery lesions with an indication of percutaneous coronary intervention were detected in all patients who underwent ICA. Spearmann correlation for hypoperfused segments on CT imaging and the corresponding vascular territory upon ICA was significantly substantial (ρ = 0.73, p = < 0.001). The higher the number of affected myocardial segments, the faster ICA was initiated. Mean time between the suspicion of AMI on CT imaging and ICA was 196 (29-4044) minutes. Myocardial hypoperfusion on emergency CT imaging should be considered as AMI until proven otherwise, independent of the clinical scenario leading to performance of CT imaging and whether imaging was performed for the exclusion of non-cardiac pathologies. Early initiation of further diagnostic workup may potentially avoid delays to invasive treatment and reduce the CT-to-catheter-time. Our study explicitly underlines that myocardial hypoperfusion upon contrast enhanced CT imaging needs to be considered as sign of acute myocardial infarction and indicates targeted clinical workup to rule out this diagnosis and to shorten the timeframe from imaging diagnosis to interventional treatment.

Indexed as

Coronary AngiographyMyocardial InfarctionTomography, X-Ray ComputedAgedCoronary VesselsFemaleHumansMaleMiddle AgedPercutaneous Coronary InterventionRetrospective StudiesAcute myocardial infarctionCT perfusion defectInvasive coronary angiographyMyocardial hypoperfusionMyocardial perfusion

Identifiers

PMID39424899
PMCPMC11489678

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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.