混合现实技术在外科治疗中的应用:德尔菲研究。

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Renato Magalhães, Ana Carolina Lima, António Marques, Javier Pereira, Lúcio Lara Santos
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引用次数: 0

摘要

背景:混合现实(MR)结合了真实和虚拟元素,并在包括外科手术在内的多个领域显示出前景。磁共振头戴式设备可以支持手术导航、计划和培训。确定医疗专业人员是否认为这项技术不可或缺是至关重要的。本研究使用Delphi方法,由Welphi网络平台提供便利,评估MR在外科环境中的效用,并使用基于PRISMA(系统评价和荟萃分析的首选报告项目)框架的系统方法分析第一轮结果。目的:本研究旨在探讨磁共振成像技术在外科手术中的可行性和优势。研究结果旨在为医疗保健专业人员、研究人员和开发人员提供信息和指导,以推进MR集成到手术环境中,以优化治疗质量和安全性。方法:采用三轮德尔菲法确定MR在外科治疗中的应用。参与者(n=22)是从具有虚拟现实、增强现实、3D腹腔镜和机器人等技术专业经验的专家中有意挑选出来的。在第一轮中,参与者通过5个不同部分的开放式问题,对MR在外科手术中的潜在应用提供了见解。对回答进行分析以制定第二轮问卷,该问卷按层次组织为主要主题和次要主题。第三轮的问题与第二轮相同,包括百分比结果,允许参与者重新考虑他们的回答。随后进行了协商一致回合。多数共识水平被定义为在给定的一轮中有≥70%的参与者同意。结果:研究时间为2024年1 - 5月。所有22位受邀专家在第一轮和第二轮均提供了回复(100%回复率)。在第三轮和共识轮中,22位专家中有20位(91%)参加了讨论。共识回合,进行了报告的结果,产生了大多数共识(19/ 20,95%)对磁共振在手术治疗中的有效性。MR在手术中的主要益处被确定为手术导航(15/ 20,75%),计划(15/ 20,75%)和教学和培训(14/ 20,70%)。此外,75%(15/20)的专家认为成本和投资是主要的制约因素。我们使用Kendall tau-b系数进行相关分析,发现不同方面之间存在显著相关性。结论:磁共振技术在手术导航、计划和训练方面是最有益的。然而,实施所需的成本和投资可能会对将该技术整合到外科手术中提出潜在的限制。此外,考虑与核磁共振使用相关的伦理影响至关重要,特别是在患者安全和隐私方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Usefulness of Mixed Reality in Surgical Treatment: Delphi Study.

Background: Mixed reality (MR) combines real and virtual elements and has shown promise in diverse fields, including surgical procedures. MR headsets may support surgical navigation, planning, and training. It is crucial to determine whether medical professionals consider this technology indispensable. This study uses the Delphi method, facilitated by the Welphi web-based platform, to assess the utility of MR in surgical settings and analyzes the results of the first round using a systematic approach modeled on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework.

Objective: This study aims to examine the feasibility and advantages of MR technology in surgical contexts. The findings are intended to inform and direct health care professionals, researchers, and developers in advancing MR integration into surgical environments to optimize treatment quality and safety.

Methods: A 3-round Delphi approach was implemented to ascertain consensus on the utility of MR in surgical treatment. Participants (n=22) were purposefully selected from among experts with professional experience in technologies such as virtual reality, augmented reality, 3D laparoscopy, and robotics. In the first round, participants provided insights into the potential applications of MR in surgical procedures through open-ended questions structured across 5 distinct sections. Responses were analyzed to develop the second-round questionnaire, which was hierarchically organized into main topics and subtopics. In the third round, the questions were identical to those in the second round, including the percentage results, allowing participants to reconsider their responses. A consensus round was subsequently conducted. The majority consensus level was defined as agreement by ≥70% of the participants in a given round.

Results: The study was conducted from January to May 2024. All 22 invited experts provided responses in both the first and second rounds (100% response rate). In the third and consensus rounds, 20 (91%) of the 22 experts participated. The consensus round, conducted to present the results, yielded a majority consensus (19/20, 95%) on the usefulness of MR in surgical treatment. The primary benefits of MR in surgery were identified as surgical navigation (15/20, 75%), planning (15/20, 75%), and teaching and training (14/20, 70%). In addition, 75% (15/20) of the experts identified cost and investments as primary constraints. We used the Kendall tau-b coefficient for correlation analysis, and significant correlations were identified between distinct aspects.

Conclusions: MR technology is most beneficial in surgical navigation, planning, and training. However, the costs and investments required for implementation may present a potential limitation for the integration of this technology into surgical procedures. Moreover, it is of crucial importance to consider the ethical implications associated with MR use, particularly regarding patient safety and privacy.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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