Evidence map›Paper›PMID 41618399›Full record

ArticleChinese neurosurgical journal2026

Clinical validation and literature review of robot-assisted cerebral angiography.

Qi Liu, Siming Gui, Yang Zhao, Fei Wang, Chen Xu, Qiuju Cui, Youxiang Li, Yuanli Zhao

Abstract read
In one paragraph

Article in Chinese neurosurgical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qi LiuDepartment of Neurosurgery, Peking Union Medical College Hospital, Beijing, China.
Siming GuiDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Yang ZhaoDepartment of Neurosurgery, Peking Union Medical College Hospital, Beijing, China.
Fei WangDepartment of Nursing, Peking Union Medical College Hospital, Beijing, China.
Chen XuDepartment of Nursing, Peking Union Medical College Hospital, Beijing, China.
Qiuju CuiDepartment of Nursing, Peking Union Medical College Hospital, Beijing, China.
Youxiang LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Yuanli ZhaoDepartment of Neurosurgery, Peking Union Medical College Hospital, Beijing, China. zhaoyuanli@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo validate the clinical safety and efficacy of a domestically produced robotic-assisted system (YDHB-NS01) for cerebral angiography and to review the current status, advantages, and challenges of robot-assisted technology in cerebrovascular interventions.

methodsFrom May to October 2025, 25 consecutive patients who underwent robotic-assisted cerebral angiography and 25 consecutive patients who underwent manual cerebral angiography at our center were prospectively enrolled. The primary endpoints were technical success rate and clinical success rate. Secondary endpoints included procedure time, fluoroscopy time, radiation dose, contrast volume, total angiography room time, device performance evaluation, and complication rate. Additionally, a literature review was conducted to summarize the applications and developments of various robotic systems in neurointervention.

resultsAll 50 (25 in the robotic-assisted group and 25 in the manual group) procedures were successfully completed with a 100% technical success rate. There were no differences between the two groups in patients' demographic data, fluoroscopy time, patient radiation dose, contrast agent dose, or total angiography room time (all p > 0.05). The robotic-assisted group had a shorter procedure time than the manual group (27 [15, 143] vs. 38 [21, 105], p = 0.005). A learning curve for the robotic-assisted system was observed. The robotic-assisted system operated stably without malfunctions. No procedure-related or device-related complications occurred.

conclusionThe preliminary clinical application demonstrates that the YDHB-NS01 robot-assisted system is feasible for diagnostic cerebral angiography and shows early indications of safety and comparable procedural performance to those of conventional manual methods. Given the small, single-center cohort and the exploratory nature of this study, larger multicenter controlled trials are required to confirm these findings.

Indexed as

Cerebral angiographyLearning curveNeurointerventionRadiation protectionSurgical robot

Identifiers

PMID41618399
PMCPMC12857158

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