Evidence map›Paper›PMID 41614483›Full record

ArticleEuropean stroke journal2026

Validity of intracerebral haemorrhage volume assessment: comparison of fully automated segmentation analysis with manual ABC/2 and semi-automated measurement.

Nadia H C Colmer, Rahman Fakhry, Yvette de Haan, Bridget A Schoon, Ruben M van de Wijdeven, Charlotte C Kik, Sanne Steltenpool, Milad Raufi, Can Yesildal, Renske Gahrmann and 3 more

Abstract readComparative StudyValidation Study
In one paragraph

Article in European stroke journal, 2026. 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. Article
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

13 authors.

Nadia H C ColmerDepartment of Neurosurgery, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0009-0004-3139-8370
Rahman FakhryDepartment of Neurosurgery, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0003-3040-6522
Yvette de HaanDepartment of Neurosurgery, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0009-0004-2231-8789
Bridget A SchoonErasmus MC Stroke Center, Rotterdam, The Netherlands.ORCID 0009-0005-4059-8232
Ruben M van de WijdevenErasmus MC Stroke Center, Rotterdam, The Netherlands.ORCID 0000-0003-0110-9748
Charlotte C KikDepartment of Neurosurgery, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-9667-8486
Sanne SteltenpoolDepartment of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0009-0000-0879-5504
Milad RaufiDepartment of Neurosurgery, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0009-0005-6656-1198
Can YesildalDepartment of Neurosurgery, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0009-0005-0548-6542
Renske GahrmannDepartment of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0001-7384-8633
Catharina J M KlijnDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands.ORCID 0000-0002-8495-4578
Diederik W J DippelErasmus MC Stroke Center, Rotterdam, The Netherlands.ORCID 0000-0002-9234-3515
Ruben DammersDepartment of Neurosurgery, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0001-7033-0644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn patients with spontaneous Intracerebral haemorrhage (ICH), ICH volume is associated with neurological and functional outcome and it is an important factor in neurosurgical decision-making. This study aims to assess the agreement between automated ICH volume measurement, the ABC/2 method and semi-automatic segmentation. PATIENTS AND

methodsWe retrospectively collected data from 300 consecutive adult patients (November 2018-June 2023) with spontaneous, supratentorial ICH, with a symptom onset-to-CT time ≤ 24 hours. We measured ICH volumes with automated StrokeViewer software, the manual ABC/2 method and semi-automated Brainlab software (reference standard). We performed a Bland-Altman analysis to compare measurements, considering a deviation of 10% or less from the reference standard as clinically acceptable.

resultsThe median age was 69 years (IQR, 57-76), 124 (41.3%) were women and the median NIHSS was 18 (IQR, 11-23). Median ICH volume was 26.0 mL (IQR, 9.3-59.2) (Brainlab). StrokeViewer also segmented hyperdense structures other than ICH, but occasionally, it only segmented part of the ICH accurately. The mean absolute differences were 11.2 mL (limits of agreement [LoA] -34.3 to 56.7) between StrokeViewer and Brainlab, -0.42 mL (LoA -65.0 to 64.9) between StrokeViewer and ABC/2 and 10.1 mL (LoA -36.2 to 56.4) between ABC/2 and Brainlab.

conclusionThere is substantial disagreement between the 3 methods for the measurement of ICH volume. Considering a clinical limit of acceptance of 10% or less, neither StrokeViewer nor ABC/2 agreed with our reference standard. Therefore, StrokeViewer results should not be used for volume-based clinical decisions without visual confirmation of adequate segmentation.

Indexed as

Cerebral HemorrhageAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSoftwareTomography, X-Ray Computedartificial intelligenceintracerebral haemorrhagevolume measurement

Identifiers

PMID41614483
PMCPMC12866654

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.