Evidence map›Paper›PMID 41075112›Full record

ArticleMedical & biological engineering & computing2026

Comparison of augmented reality visualization approaches in minimally invasive neurosurgery guidance: 2D, tablet, HMD and autostereoscopic displays.

Nan Zhang, Wentao Zhao, Tianqi Huang, Ming Feng, Hongen Liao, Hongbin Liu

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 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

6 authors.

Nan ZhangInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. zhangnan@ia.ac.cn.ORCID http://orcid.org/0000-0002-3476-2201
Wentao ZhaoInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Tianqi HuangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Ming FengDepartment of Neurosurgery, Peking Union Medical College Hospital, Beijing, 100730, China.
Hongen LiaoDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.
Hongbin LiuInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.

Funding

National Natural Science Foundation of China 62501594
6 · The paper itself

Abstract

Minimally invasive neurosurgery presents specific challenges due to the limited operative space and complex cranial anatomy, requiring highly precise and safe surgical guidance. Augmented Reality (AR) technology offers the potential to improve surgical accuracy and safety by overlaying critical digital information onto real-world surgical environments. In this study, we present a study that aims to compare four AR visualization methods-2D flat display, smart tablet, head-mounted display (HMD), and 3D autostereoscopic display-in guiding minimally invasive neurosurgical procedures, specifically focusing on ventriculocentesis. The effectiveness of the AR methods was evaluated through comprehensive user studies involving 32 participants (including 11 experienced surgeons), with assessment focused on critical performance metrics including accuracy, completion time, usability, and cognitive workload during simulated surgical procedures. Results demonstrated that 3D visualization methods significantly outperformed traditional 2D approaches in terms of puncture accuracy and angular precision. Specifically, surgeons showed a statistically significant improvement in localization accuracy, with mean error reduced from 2.69 mm to 1.67 mm, and angular deviation from 5.62° to 1.54°. In comparing the two 3D visualization systems, the HMD exhibited superior task completion efficiency, while the 3D autostereoscopic display demonstrated higher usability scores and lower perceived workload ratings. Notably, the 3D systems effectively reduced the performance disparity between novice and experienced practitioners, suggesting their potential to accelerate the learning curve for less experienced users. We conclude that AR holds significant potential to enhance performance and decision-making in minimally invasive neurosurgical guidance.

Indexed as

Augmented RealityMinimally Invasive Surgical ProceduresNeurosurgical ProceduresSurgery, Computer-AssistedAdultFemaleHumansImaging, Three-DimensionalMale3D visualization techniquesAugmented realityMinimally invasive neurosurgerySurgical navigationUser study

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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.