Evidence map›Paper›PMID 38339612›Full record

ArticleSensors (Basel, Switzerland)2024

The Feasibility and Accuracy of Holographic Navigation with Laser Crosshair Simulator Registration on a Mixed-Reality Display.

Ziyu Qi, Haitao Jin, Qun Wang, Zhichao Gan, Ruochu Xiong, Shiyu Zhang, Minghang Liu, Jingyue Wang, Xinyu Ding, Xiaolei Chen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

13 authors at 4 institutions in 3 countries.

Ziyu QiDepartment of Neurosurgery, University of Marburg, Baldingerstrasse, 35043 Marburg, Germany.ORCID 0000-0001-5318-3881
Haitao JinDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID 0009-0001-6500-2811
Qun WangDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID 0000-0002-1559-8530
Zhichao GanDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID 0009-0005-6342-5393
Ruochu XiongDepartment of Neurosurgery, Division of Medicine, Graduate School of Medical Sciences, Kanazawa University, Takara-machi 13-1, Kanazawa 920-8641, Japan.ORCID 0000-0002-7557-0310
Shiyu ZhangDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID 0009-0001-3200-1804
Minghang LiuDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID 0009-0004-7138-4715
Jingyue WangDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID 0000-0001-9671-2245
Xinyu DingDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID 0009-0001-3993-3508
Xiaolei ChenDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID 0000-0002-3407-621X
Jiashu ZhangDepartment of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID 0000-0003-0997-121X
Christopher NimskyDepartment of Neurosurgery, University of Marburg, Baldingerstrasse, 35043 Marburg, Germany.ORCID 0000-0002-8216-9410
Miriam H A BoppDepartment of Neurosurgery, University of Marburg, Baldingerstrasse, 35043 Marburg, Germany.ORCID 0000-0003-1574-7572
Chinese PLA General Hospital · CNPhilipps University of Marburg · DEArmy Medical University · CNKanazawa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addressing conventional neurosurgical navigation systems' high costs and complexity, this study explores the feasibility and accuracy of a simplified, cost-effective mixed reality navigation (MRN) system based on a laser crosshair simulator (LCS). A new automatic registration method was developed, featuring coplanar laser emitters and a recognizable target pattern. The workflow was integrated into Microsoft's HoloLens-2 for practical application. The study assessed the system's precision by utilizing life-sized 3D-printed head phantoms based on computed tomography (CT) or magnetic resonance imaging (MRI) data from 19 patients (female/male: 7/12, average age: 54.4 ± 18.5 years) with intracranial lesions. Six to seven CT/MRI-visible scalp markers were used as reference points per case. The LCS-MRN's accuracy was evaluated through landmark-based and lesion-based analyses, using metrics such as target registration error (TRE) and Dice similarity coefficient (DSC). The system demonstrated immersive capabilities for observing intracranial structures across all cases. Analysis of 124 landmarks showed a TRE of 3.0 ± 0.5 mm, consistent across various surgical positions. The DSC of 0.83 ± 0.12 correlated significantly with lesion volume (Spearman rho = 0.813,

Indexed as

Augmented RealitySurgery, Computer-AssistedAdultAgedFeasibility StudiesFemaleHumansImaging, Three-DimensionalLasersMaleMiddle AgedNeuronavigationTomography, X-Ray Computedaugmented realityautomatic registrationdice similarity coefficienthead phantomintracranial lesionlaser crosshair simulatormixed realityneuronavigationneurosurgical planningtarget registration error

Identifiers

PMID38339612
PMCPMC10857152
OpenAlexW4391344906

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.