Evidence map›Paper›PMID 40012684›Full record

ArticleFrontiers in neuroscience2025

Bedside cerebral microvascular imaging of patients with disorders of consciousness: a feasibility study.

Qianqian Ge, Lijie Huang, Qiang Fu, Shuai Han, Rui Wang, Jianghong He, Changhui Li, Jianwen Luo, Long Xu

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 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

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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

9 authors.

Qianqian Ge *Deparment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lijie Huang *School of Biomedical Engineering, Tsinghua University, Beijing, China.
Qiang Fu *Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China.
Shuai HanDeparment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Rui WangSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Jianghong HeDeparment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Changhui LiDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China.
Jianwen LuoSchool of Biomedical Engineering, Tsinghua University, Beijing, China.
Long XuDeparment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Efficient bedside neurofunctional monitoring is crucial for managing disorders of consciousness (DoC). Ultrafast Power Doppler Imaging (uPDI) outperforms traditional Ultrasound in bedside for assessing the microcirculatory system. However, intracranial blood flow imaging traditionally faces limitations due to the skull's impedance. This constraint is circumvented in common post-craniectomy DoC patients, who present a unique observational window for uPDI. Methods: We conducted uPDI scans on five DoC patients of different ages and consciousness levels who had undergone decompressive craniectomy. We compared the imaging results from uPDI with traditional PDI and identified the physiological and pathological conditions with uPDI. Results: Detailed microvascular images of both cortical and subcortical areas were obtained using uPDI through the craniectomy window. Notably, uPDI demonstrates high sensitivity and imaging depth, revealing microvessels as small as 320 μm in diameter at 4 cm depth, and detecting blood flow signals up to 6 cm beneath the scalp. Conclusion: Through the decompressive cranial windows of DoC patients, we obtained cerebral microvascular images with significantly higher sensitivity without the need for contrast agents. Significance: Our research provides a novel bedside cerebral microcirculation imaging method for patients with DoC, offering convenient neurofunctional assessment to improve the clinical management of DoC patients.

Indexed as

bedsidecerebral blood flowcraniectomydisorders of consciousnessultrafast power Doppler imaging

Identifiers

PMID40012684
PMCPMC11861210

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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.