Evidence map›Paper›PMID 41058851›Full record

ArticleRadiology advances2025

Cross-institutional automated multilabel segmentation for acute intracerebral hemorrhage, intraventricular hemorrhage, and perihematomal edema on CT.

Jawed Nawabi, Georg Lukas Baumgaertner, Sophia Schulze-Weddige, Andrea Dell'Orco, Andrea Morotti, Federico Mazzacane, Helge Kniep, Frieder Schlunk, Maik Franz Hermann Boehmer, Burak Han Akkurt and 8 more

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In one paragraph

Article in Radiology advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. 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

18 authors.

Jawed NawabiDepartment of Neuroradiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin 10117, Germany.ORCID https://orcid.org/0000-0002-1137-0643
Georg Lukas BaumgaertnerDepartment of Radiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin 13351, Germany.
Sophia Schulze-WeddigeDepartment of Radiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin 13351, Germany.
Andrea Dell'OrcoDepartment of Neuroradiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin 10117, Germany.
Andrea MorottiDepartment of Clinical and Experimental Sciences, Neurology Clinic, University of Brescia, Brescia 25123, Italy.ORCID https://orcid.org/0000-0002-6558-1155
Federico MazzacaneDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia 271000, Italy.
Helge KniepDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Frieder SchlunkDepartment of Neuroradiology, University Medical Center Freiburg, Freiburg 79106, Germany.
Maik Franz Hermann BoehmerDepartment of Radiology, University Hospital Muenster, Muenster 48149, Germany.
Burak Han AkkurtDepartment of Radiology, University Hospital Muenster, Muenster 48149, Germany.
Tobias OrthDepartment of Radiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin 13351, Germany.
Jana-Sofie WeissflogDepartment of Neuroradiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin 10117, Germany.
Maik SchumannDepartment of Radiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin 13351, Germany.
Peter B SpornsDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Michael ScheelDepartment of Neuroradiology, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin 10117, Germany.
Uta HanningDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Jens FiehlerDepartment of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Tobias PenzkoferDepartment of Radiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin 13351, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Precise volume quantification of intracerebral hemorrhage (ICH), intraventricular hemorrhage (IVH), and perihematomal edema (PHE) is a critical parameter for guiding therapy decisions, monitoring therapeutic effects over time, and predicting patient outcomes. Purpose: To evaluate a nnU-Net-based deep learning model for automated, multilesion segmentation on non-contrast CT. Materials and Methods: Retrospective data from acute spontaneous ICH patients admitted to 4 stroke centers (2015-2022) and controls (2022-2023) were analyzed. Manual segmentations served as ground truth with repeated segmentations as reference standard. nnU-Net was trained ( Results: Test set sensitivity was 99% for ICH and PHE and 97% for IVH. Segmentation achieved a DSC of 0.91 (ICH), 0.71 (PHE), and 0.76 (IVH), with Conclusion: nnU-Net enables reliable, time-efficient segmentation of ICH, PHE, and IVH, validated across multicenter, multivendor datasets of spontaneous ICH, showing potential to enhance clinical workflows.

Indexed as

artificial intelligencedeep learninghemorrhageintracerebral hemorrhagesegmentation

Identifiers

PMID41058851
PMCPMC12429176

What OpenQuestion holds

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Registered trials

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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.