Evidence map›Paper›PMID 41327069›Full record

ArticleBMC medical imaging2025

Comparison of CT-perfusion software packages and validation with true infarct core in patients with acute ischemic stroke.

Maximilian Thormann, Maria Faltass, Roland Schwab, Stefan Klebingat, Daniel Behme

Abstract readComparative StudyValidation Study
In one paragraph

Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Maximilian ThormannDepartment of Nuclear Medicine, Charité Berlin, Berlin, Germany. maximilian.thormann@charite.de.
Maria FaltassDepartment of Neuroradiology, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany.
Roland SchwabDepartment of Neuroradiology, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany.
Stefan Klebingat *Department of Neuroradiology, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany.
Daniel Behme *Department of Neuroradiology, University Hospital Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputed tomography perfusion (CTP) is widely used to evaluate acute ischemic stroke (AIS) and guide endovascular thrombectomy (MT). However, substantial variability exists among software solutions in estimating ischemic core volume, potentially affecting patient selection and treatment outcomes. MATERIALS AND

methodsWe retrospectively analyzed 65 patients with M1/M2 occlusions who underwent successful MT (TICI 2c/3). All patients had baseline CTP and follow-up non-contrast CT (ncCCT) within 10-25 h. Final infarct volumes were segmented on ncCCT. CTP data were processed using syngo.via (Siemens Healthcare) with three settings (A: CBV < 1.2 ml/100 ml; B: same threshold plus smoothing; C: rCBF < 30%) and Cercare Medical Neurosuite (CMN, Cercare Medical). We compared software-derived core volumes to ncCCT -measured volumes using Wilcoxon-Signed-Rank tests, Bland-Altman analyses, and intraclass correlation coefficients.

resultsCMN showed the smallest median error (0.0 ml) and a 50.0% rate of overestimation. Among syngo.via settings, method B had improved agreement but still tended to overestimate infarct volume in larger strokes. Settings A and C more frequently produced substantial overestimations. Bland-Altman plots demonstrated that deviations from true infarct volumes increased with larger cores for all software packages, underscoring the challenge of accurately quantifying extensive ischemic lesions.

conclusionOur findings reveal marked variability in core volume estimates across different CTP software solutions. CMN and syngo.via B provided good accuracy, but performance declined with larger infarcts. Awareness of these discrepancies is critical for clinicians interpreting perfusion maps to optimize AIS treatment decisions and avoid misclassification of patients who might still benefit from reperfusion therapy.

Indexed as

Ischemic StrokeSoftwareTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedPerfusion ImagingRetrospective StudiesThrombectomyAcute ischemic strokeComputed tomography perfusionMechanical thrombectomy

Identifiers

PMID41327069
PMCPMC12670855

What OpenQuestion 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 OpenQuestion graph.