Evidence map›Paper›PMID 40594009›Full record

ArticleScientific reports2025

Intraoperative cerebral perfusion monitoring with ultrafast power doppler imaging.

Hamid Reza Niknejad, Yizhou Huang, Anna Maria Auricchio, Albert van der Zwan, Massimo Mischi

Abstract read
In one paragraph

Article in Scientific reports, 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.

Hamid Reza NiknejadDepartment of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands. h.r.niknejad@umcutrecht.nl.
Yizhou HuangSignal Processing Systems Unit, Eindhoven University of Technology, Eindhoven, The Netherlands.
Anna Maria AuricchioDepartment of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Albert van der ZwanDepartment of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Massimo MischiSignal Processing Systems Unit, Eindhoven University of Technology, Eindhoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain perfusion monitoring during cerebrovascular surgery is highly desirable; however, this technology is not yet available to surgeons. Our center has developed and implemented a dedicated ultrafast power Doppler imaging (UPDI) sequence along with a novel postprocessing analysis. This method enables intraoperative, real-time (1 Hz) detection of changes in cerebral blood volume (CBV) at high spatial resolution (100 μm). We performed continuous UPDI acquisitions in 10 patients undergoing surgery for intracranial aneurysm clipping, AVM resection, or cerebrovascular bypass surgery. When temporary clipping was required during surgery, we recorded perfusion in the parenchyma within the vascular territory of the affected artery. Recordings began with a 30-second baseline and continued for up to 60 s after clip release. The UPDI sequence successfully demonstrated cerebral perfusion up to the level of the penetrating arterioles. The time-series data captured vascular phenomena such as ischemia, collateral recruitment, and hyperperfusion in both the cortex and white matter following the placement and removal of temporary clips. UPDI shows promise as a tool for continuous CBV monitoring during (cerebrovascular) surgery, as it enables quantitative vascular monitoring of the parenchyma.

Indexed as

BrainCerebrovascular CirculationIntracranial AneurysmMonitoring, IntraoperativeUltrasonography, DopplerAdultAgedCerebral Blood VolumeFemaleHumansMaleMiddle AgedPerfusionSurgery related strokeUltrafast power Doppler imaging

Identifiers

PMID40594009
PMCPMC12215804

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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.