Evidence map›Paper›PMID 34448914›Full record

ArticleActa neurochirurgica2022

Real-time augmented reality application in presurgical planning and lesion scalp localization by a smartphone.

Xu-Jun Shu, Yu Wang, Hao Xin, Zhi-Zhong Zhang, Zhe Xue, Fu-Yu Wang, Bai-Nan Xu

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Article in Acta neurochirurgica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Augmented Reality in Neurosurgery.Advances in experimental medicine and biology · 2024
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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

7 authors.

Xu-Jun ShuMedical School of Chinese PLA, Beijing, 100853, China.
Yu WangDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100032, China.
Hao XinDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100032, China.
Zhi-Zhong ZhangDepartment of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, No.28, Fuxing Road, Beijing, 100853, China.
Zhe XueDepartment of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, No.28, Fuxing Road, Beijing, 100853, China.
Fu-Yu WangDepartment of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, No.28, Fuxing Road, Beijing, 100853, China.
Bai-Nan XuDepartment of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, No.28, Fuxing Road, Beijing, 100853, China. xubain301@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA smartphone augmented reality (AR) application (app) was explored for clinical use in presurgical planning and lesion scalp localization.

methodsWe programmed an AR App on a smartphone. The accuracy of the AR app was tested on a 3D-printed head model, using the Euclidean distance of displacement of virtual objects. For clinical validation, 14 patients with brain tumors were included in the study. Preoperative MRI images were used to generate 3D models for AR contents. The 3D models were then transferred to the smartphone AR app. Tumor scalp localization was marked, and a surgical corridor was planned on the patient's head by viewing AR images on the smartphone screen. Standard neuronavigation was applied to evaluate the accuracy of the smartphone. Max-margin distance (MMD) and area overlap ratio (AOR) were measured to quantitatively validate the clinical accuracy of the smartphone AR technique.

resultsIn model validation, the total mean Euclidean distance of virtual object displacement using the smartphone AR app was 4.7 ± 2.3 mm. In clinical validation, the mean duration of AR app usage was 168.5 ± 73.9 s. The total mean MMD was 6.7 ± 3.7 mm, and total mean AOR was 79%.

conclusionsThe smartphone AR app provides a new way of experience to observe intracranial anatomy in situ, and it makes surgical planning more intuitive and efficient. Localization accuracy is satisfactory with lesions larger than 15 mm.

Indexed as

Augmented RealityBrain NeoplasmsSurgery, Computer-AssistedHumansImaging, Three-DimensionalNeuronavigationScalpSmartphoneAugmented realityImage-guided surgeryNeuronavigationSmartphone

Identifiers

PMID34448914

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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.