Evidence map›Paper›PMID 42126773›Full record

ArticleEuropean radiology experimental2026

Spectral CTA-based quantitative differentiation of infarcted and non-infarcted ASPECTS regions in acute stroke.

Schekeb Aludin, Agreen Horr, Patrick Langguth, Tristan Klintz, Svea Seehafer, Alexander Gless, Karim Mostafa, Olav Jansen, Naomi Larsen, Lars-Patrick Schmill

Abstract read
In one paragraph

Article in European radiology experimental, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Schekeb AludinClinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany. schekeb.aludin@uksh.de.ORCID http://orcid.org/0000-0002-0822-9075
Agreen HorrClinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Patrick LangguthClinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Tristan KlintzClinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Svea SeehaferClinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Alexander GlessClinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Karim MostafaClinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Olav JansenClinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Naomi LarsenClinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.
Lars-Patrick SchmillClinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSpectral computed tomography (CT) enables material decomposition and monoenergetic imaging, improving infarct-estimation on non-contrast cerebral CT (NCCT). However, beyond NCCT, infarct estimation is also accessible from CT angiography (CTA). We evaluated the potential of spectral CTA to assess quantitative differences of infarcted parenchyma in patients with stroke. MATERIALS AND

methodsIn 14 patients with acute middle cerebral artery stroke, the ten Alberta stroke program early computed tomography score (ASPECTS) regions of the affected and non-affected sides were segmented on NCCT, CTA, CT perfusion-derived cerebral blood flow (CBF) map, and CTA-based spectral maps: virtual-non-contrast, virtual-monoenergetic 40-keV and 100-keV, iodine-density and electron-density. For each region, a ratio to the corresponding contralateral region was calculated. Classification into infarcted and non-infarcted was based on post-thrombectomy follow-up NCCT. On patient-level the groups were summarised with mean ratio-values for infarcted and non-infarcted parenchyma per patient. Conventional images and spectral maps were compared to differentiate the groups.

resultsExcept for NCCT, electron-density and virtual-non-contrast maps, there was a significant difference between the ratio-values of infarcted and non-infarcted regions in each spectral map, as well as in CTA and CBF (p < 0.001). Best differentiation was possible with iodine-density (area under the receiving operating characteristic curve [AUROC] = 1.000) and virtual-monoenergetic 40-keV (AUROC = 0.985) maps compared to NCCT, CTA, CBF, electron-density, and VNC maps (AUROC = 0.765‒0.938).

conclusionSpectral CTA maps, like virtual-monoenergetic 40-keV and iodine-density, enabled valid quantitative ASPECTS-based infarct-estimation in stroke compared to conventional NCCT, CTA, and CBF. They harbour potential for improving stroke imaging diagnostics. RELEVANCE STATEMENT: Quantitative values derived from ASPECTS regions in spectral CTA maps improve differentiation of infarcted and non-infarcted regions compared to conventional images. This technique, therefore, represents an interesting approach to improve diagnostic accuracy in stroke and could potentially assist in making treatment decisions for patients with acute stroke. KEY POINTS: In patients with acute stroke, spectral CT improves infarct estimation by NCCT, while its benefit with CTA remains unclear. Quantitative parameters derived from ASPECTS-labelled region of interest were compared between spectral CTA maps and conventional NCCT, CTA, and CBF. Quantitative parameters from virtual-monoenergetic 40-keV and iodine-density maps reliably differentiate infarcted versus non-infarcted ASPECTS regions compared to conventional images.

Indexed as

Cerebral AngiographyComputed Tomography AngiographyStrokeAgedAged, 80 and overCerebrovascular CirculationDiagnosis, DifferentialFemaleHumansMiddle AgedAcute ischaemic strokeASPECTSComputed tomography angiographyInfarction (middle cerebral artery)Tomography (x-ray computed)

Identifiers

PMID42126773
PMCPMC13172188

What Socratic holds

Textmetadata
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 Socratic graph.