Evidence map›Paper›PMID 41940934›Full record

ArticleNeuroradiology2026

Artificial intelligence-based segmentation of perisinusoidal tissue along the superior sagittal sinus in human brain magnetic resonance imaging.

Adrian Holz, Markus Karmann, Sarah Deli, Viktor Neumaier, Moritz Bonhoeffer, Fabian Bongratz, Benita Schmitz-Koep, Paula Rossmueller, Benedikt Zott, Benedikt Wiestler and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuroradiology, 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

14 authors.

Adrian HolzInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany. adrian.holz@tum.de.
Markus KarmannInstitute of diagnostic and interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Sarah DeliInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.
Viktor NeumaierInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.
Moritz BonhoefferInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.
Fabian BongratzInstitute of diagnostic and interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Benita Schmitz-KoepInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.
Paula RossmuellerInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.
Benedikt ZottInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.
Benedikt WiestlerInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.
Christian SorgInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.
Claus ZimmerInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.
Christian WachingerInstitute of diagnostic and interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Dennis M HedderichInstitute of Neuroradiology, Technical University of Munich, School of Medicine, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial intelligenceDeep learningGlymphatic systemMeningeal lymphatic vesselsSegmentation

Identifiers

PMID41940934
PMCPMC13407718

What OpenQuestion holds

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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.