Evidence map›Paper›PMID 33025043›Full record

ArticleNeuroradiology2021

Early prediction of final infarct volume with material decomposition images of dual-energy CT after mechanical thrombectomy.

Silke Hopf-Jensen, Max Anraths, Stephanie Lehrke, Silke Szymczak, Mario Hasler, Stefan Müller-Hülsbeck

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Article in Neuroradiology, 2021. 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
0.3field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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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

6 authors at 3 institutions in 1 country.

Silke Hopf-JensenDepartment of Diagnostic and Interventional Radiology and Neuroradiology, Diakonissenhospital Flensburg, Knuthstraße 1, 24939, Flensburg, Germany. hopfsi@diako.de.ORCID http://orcid.org/0000-0002-3313-9880
Max AnrathsDepartment of Diagnostic and Interventional Radiology and Neuroradiology, Diakonissenhospital Flensburg, Knuthstraße 1, 24939, Flensburg, Germany.
Stephanie LehrkeDepartment of Diagnostic and Interventional Radiology and Neuroradiology, Diakonissenhospital Flensburg, Knuthstraße 1, 24939, Flensburg, Germany.
Silke SzymczakInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Mario HaslerFaculty of Agricultural and Nutritional Sciences, Kiel University, Kiel, Germany.
Stefan Müller-HülsbeckDepartment of Diagnostic and Interventional Radiology and Neuroradiology, Diakonissenhospital Flensburg, Knuthstraße 1, 24939, Flensburg, Germany.
Diakonissenkrankenhaus · DEChristian-Albrechts-Universität zu Kiel · DEDIAKO · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEvaluation of water material density images (wMDIm) of dual-energy CT (DECT) for earlier prediction of final infarct volume (fiV) in follow-up single-energy CT (SECT) and correlation with clinical outcome.

methodsFifty patients (69 years, ± 12.1, 40-90, 50% female) with middle cerebral artery (MCA) occlusions were included. Early infarct volumes were analyzed in monoenergetic images (MonoIm) and wMDIm at 60 keV and compared with the fiV in SECT 4.9 days (± 4) after thrombectomy. Association between infarct volume and functional outcome was tested by linear regression analysis.

resultswMDIm shows a prior visible infarct demarcation (60.7 ml, ± 74.9 ml) compared with the MonoIm (37.57 ml, ± 76.7 ml). Linear regression analysis, Bland-Altman plots and Pearson correlation coefficients show a close correlation of infarct volume in wMDIm to the fiV in SECT (r = 0.86; 95% CI 0.76-0.92), compared with MonoIm and SECT (r = 0.81; 95% CI 0.69-0.89). The agreement with SECT is substantially higher in patients with infarct volumes < 70 ml (n = 33; 66%). Coefficients were smaller with r = 0.59 (95% CI 0.31; 0.78) for MonoIm and SECT compared with r = 0.77 (95% CI 0.57; 0.88) for wMDIm and SECT. At admission, the mean NIHSS score and mRS were 17.02 (± 4.7) and 4.9 (± 0.2). mRS ≤ 2 was achieved in 56% at 90 days with a mean mRS of 2.5 (± 0.8) at discharge.

conclusionMaterial decomposition allows earlier visibility of the final infarct volume. This promises an earlier evaluation of the dimension and severity of infarction and may lead to faster initiation of secondary stroke prophylaxis.

Indexed as

StrokeTomography, X-Ray ComputedFemaleHumansInfarction, Middle Cerebral ArteryMaleThrombectomyDual-energy CTInfarct volumeMaterial decompositionMechanical thrombectomyWater material density image

Identifiers

PMID33025043
OpenAlexW3092406547

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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.