Evidence map›Paper›PMID 32342281›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2020

Clinical feasibility of the augmented reality computer-assisted spine surgery system for percutaneous vertebroplasty.

Ming-Hsien Hu, Chiu-Ching Chiang, Min-Liang Wang, Nai-Yuan Wu, Pei-Yuan Lee

Abstract read
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In one paragraph

Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 31 citations in OpenAlex.

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  11. Current and Emerging Approaches for Spine Tumor Treatment.International journal of molecular sciences · 2022
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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

5 authors at 2 institutions in 1 country.

Ming-Hsien HuDesign and Materials for Medical Equipment and Devices, Da-Yeh University, Changhua, Taiwan, ROC.
Chiu-Ching ChiangDepartment of Orthopedics, Show-Chwan Memorial Hospital, No. 542, Section 1, Chung-shan Road, Changhua City, 500, Changhua County, Taiwan, ROC.
Min-Liang WangTaiwan Main Orthopaedics Biotechnology Co., LTD, Taichung City, Taiwan, ROC.
Nai-Yuan WuTaiwan Main Orthopaedics Biotechnology Co., LTD, Taichung City, Taiwan, ROC.
Pei-Yuan LeeDesign and Materials for Medical Equipment and Devices, Da-Yeh University, Changhua, Taiwan, ROC. b1208b@ms26.hinet.net.
Chang Bing Show Chwan Memorial Hospital · TWDayeh University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to demonstrate that the augmented reality computer-assisted spine surgery (ARCASS) system is clinically feasible for percutaneous vertebroplasty (PVP).

methodsThis prospective case-control study included the patients undergoing PVP under the assistance of the ARCASS system between July 1, 2013, and October 31, 2014. The control group was the age- and gender-matched patients who underwent standard PVP and met the same eligible criteria as the case group. Primary outcome was the frequency of fluoroscopy. Secondary outcomes were the accuracy of bony entry point and operative time.

resultsEighteen patients were included in this study: 9 patients with 11 levels of lesions in the ARCASS group and 9 patients with 10 levels of lesions in the control group. Compared with the control group, the ARCASS group had significantly less frequency of fluoroscopy (6 vs. 18, P < 0.001) and shorter operative time (78 vs. 205 s, P < 0.001) during the process of entry point identification and local anesthesia, which started from the registration of skin entry point at lesion site to the end of bony entry point identification. Regarding accuracy, the ARCASS group had significant greater proportion of 'good' entry point than the control group on lateral views (81.8% vs. 30.0%, P = 0.028) and anteroposterior views (72.7% vs. 20.0%, P = 0.020).

conclusionThis study revealed that the ARCASS system was clinically feasible for PVP. The guidance of ARCASS system provided more accurate bony entry point with reduced operative time and unnecessary radiation exposure.

Indexed as

Augmented RealitySurgery, Computer-AssistedVertebroplastyComputersFeasibility StudiesFluoroscopyHumansProspective StudiesAugmented realityComputer-assisted surgeryFluoroscopyMinimal invasive surgeryPercutaneous vertebroplasty

Identifiers

PMID32342281
OpenAlexW3020553684

What OpenQuestion holds

Textmetadata
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.