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用于机器人手术的元宇宙手术规划:初步经验与用户认知

Metaverse surgical planning for robotic surgery: preliminary experience and users' perception.

作者信息

Volpi Gabriele, Gatti Cecilia, Quarà Alberto, Piramide Federico, Amparore Daniele, Alessio Paolo, De Cillis Sabrina, Colombo Marco, Busacca Giovanni, Sica Michele, Verri Paolo, Piana Alberto, Alba Stefano, Di Dio Michele, Fiori Cristian, Porpiglia Francesco, Checcucci Enrico

机构信息

Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale 142, km 3.95 - 10060 Candiolo, Turin, Italy.

Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.

出版信息

Ther Adv Urol. 2024 Dec 16;16:17562872241297524. doi: 10.1177/17562872241297524. eCollection 2024 Jan-Dec.

DOI:10.1177/17562872241297524
PMID:39687329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11648019/
Abstract

BACKGROUND

The 3D models' use for surgical planning has recently gained an ever-wider popularity, in particular in the urological field. Different ways of fruition of this technology have been evaluated over the years. Today, new technological developments allow us to enjoy 3D models in the metaverse.

OBJECTIVES

The aim of this study is to report the preliminary experience and surgeon's perception of preoperative planning performed in the metaverse.

DESIGN

During the eleventh edition of the Techno-Urology Meeting, all the attendees enjoyed the metaverse experience (META_EXP) for pre-surgical planning of both robot-assisted radical prostatectomy and partial nephrectomy. Users' perception was then evaluated with the Health Information Technology Usability Evaluation Scale (Health-ITUES) and the Face & Content validity questionnaire.

METHODS

The 3D virtual models, obtained from standard bi-dimensional imaging, were uploaded on a metaverse platform. Surgeons, thanks to dedicated visors, could plan their surgical strategy immersed in this virtual environment and discuss it with other attendees. Answers to the questionnaires were then evaluated and a stratification was subsequently performed based on surgical expertise, dividing participants in residents (Re), young urologists (YU) and senior urologists (SU).

RESULTS

Sixty-six participants filled out the questionnaires. As emerged from the Health-ITUES questionnaire, META_EXP covers an important role in the presurgical/surgical planning and decision-making process and appears to be useful for preoperative planning, with a median response of 4 and 5, respectively. Such results were also confirmed at the Face & Content validity questionnaire, with a median rate of 9/10 regarding its usefulness for surgical planning. Also, anatomical accuracy was positively rated regarding both organ's and disease's details, with a median response of 9.

CONCLUSION

In conclusion, the metaverse experience for preoperative surgical planning appears to be useful, user-friendly and accurate. This technology has been widely appreciated by surgeons, irrespective of their experience.

摘要

背景

3D模型用于手术规划最近越来越受欢迎,尤其是在泌尿外科领域。多年来,人们评估了使用这项技术的不同方式。如今,新技术的发展使我们能够在元宇宙中使用3D模型。

目的

本研究的目的是报告在元宇宙中进行术前规划的初步经验以及外科医生的看法。

设计

在第十一届技术泌尿学会议期间,所有与会者都体验了元宇宙(META_EXP),用于机器人辅助根治性前列腺切除术和部分肾切除术的术前规划。然后使用健康信息技术可用性评估量表(Health-ITUES)和面部与内容效度问卷对用户的看法进行评估。

方法

从标准二维成像获得的3D虚拟模型被上传到一个元宇宙平台。外科医生借助专用护目镜,可以在这个虚拟环境中规划他们的手术策略,并与其他与会者进行讨论。然后对问卷的答案进行评估,并根据手术专业知识进行分层,将参与者分为住院医生(Re)、年轻泌尿外科医生(YU)和资深泌尿外科医生(SU)。

结果

66名参与者填写了问卷。从Health-ITUES问卷中可以看出,META_EXP在术前/手术规划和决策过程中发挥着重要作用,似乎对术前规划很有用,中位数回答分别为4和5。面部与内容效度问卷也证实了这些结果,其对手术规划的有用性中位数评分为9/10。此外,在器官和疾病细节方面,解剖准确性得到了积极评价,中位数回答为9。

结论

总之,术前手术规划的元宇宙体验似乎是有用的、用户友好的且准确的。这项技术受到了外科医生的广泛赞赏,无论他们的经验如何。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/8023d2c67eea/10.1177_17562872241297524-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/29152d64d7af/10.1177_17562872241297524-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/2a1c78d421c6/10.1177_17562872241297524-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/867bb577ed88/10.1177_17562872241297524-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/3872b4005a57/10.1177_17562872241297524-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/ffa70de89c1b/10.1177_17562872241297524-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/8023d2c67eea/10.1177_17562872241297524-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/29152d64d7af/10.1177_17562872241297524-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/2a1c78d421c6/10.1177_17562872241297524-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/867bb577ed88/10.1177_17562872241297524-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/3872b4005a57/10.1177_17562872241297524-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/ffa70de89c1b/10.1177_17562872241297524-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5159/11648019/8023d2c67eea/10.1177_17562872241297524-fig6.jpg

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