Evidence map›Paper›PMID 40708953›Full record

ArticleFrontiers in neurology2025

A novel smartphone augmented reality-based solution for small intracranial lesion localization with refined reference markers.

Yu-Qin Ye, Guan-Yi Wang, Ying-Nan Fan, Zhu-Sheng Feng, Yi-Bin Jia, Wei Bai, Yong-Xiang Yang, Xiao-Sheng He

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. 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.

Yu-Qin Ye *Department of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi'an, China.
Guan-Yi Wang *Department of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi'an, China.
Ying-Nan Fan *Department of Emergency, Xijing Hospital, Air Force Medical University, Xi'an, China.
Zhu-Sheng FengDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an, China.
Yi-Bin JiaDepartment of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi'an, China.
Wei BaiDepartment of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi'an, China.
Yong-Xiang YangDepartment of Neurosurgery, General Hospital of Western Theater Command, Chengdu, China.
Xiao-Sheng HeDepartment of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Neuronavigation is crucial for locating intracranial lesions in neurosurgery. However, it is unaffordable in numerous resource-limited areas. The emerging mobile augmented reality (AR) provides a low-cost alternative to locate lesions, but its accuracy still require improvement before widespread use. This study aimed to explore a novel smartphone AR solution for lesion localization based on a newly developed application and refined reference markers. Methods: The smartphone AR solution and standard navigation were performed to locate intracranial lesions in 38 patients. The time required for AR and navigation, the deviation between lesion center points identified by AR and navigation, and the ratio of overlap region (ROR) between the lesion locations determined by both methods, were measured, respectively, to evaluate the AR performance in preoperative planning. Results: The average time required for AR was shorter than that for navigation (256.61 ± 69.75 s vs. 454.16 ± 78.85 s, Conclusion: The smartphone AR-based solution provides a practical and reliable alternative to locate small intracranial lesions, especially in settings where neuronavigation is unavailable.

Indexed as

augmented realitylesion localizationneurosurgeryreference markersmartphone

Identifiers

PMID40708953
PMCPMC12286799

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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.