Department of Medicine, Faculty of Medicine, Imperial College London, London, UK.
Department of Cardiothoracic Surgery, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, UK.
Perfusion. 2024 Mar;39(2):244-255. doi: 10.1177/02676591221137480. Epub 2022 Oct 30.
Given the variety in mitral valve (MV) pathology and associated surgical techniques, extended reality (XR) holds great potential to assist MV surgeons. This review aims to systematically evaluate the currently available evidence investigating the use of XR and associated technologies in MV surgery.
A systematic database search was conducted of original articles and case reports that explored the use of XR and MV surgery in EMBASE, MEDLINE, Cochrane database and Google Scholar, from inception to February 2022.
Our search yielded 171 articles, of which 15 studies were included in this review, featuring 328 patients. Two main areas of application were identified: (i) pre-operative planning and (ii) predicting post-operative outcomes. The articles reporting outcomes relating to pre-operative planning were further categorised as exploring themes relevant to (i) mitral annular assessment; (ii) training; (iii) evaluation of surgical technique; (iv) surgical approach or plan and (v) selecting ring size or type. Preoperatively, XR has been shown to evaluate mitral annular pathology more accurately than echocardiography, informing the surgeon about the optimal surgical technique, approach and plan for a particular patient's MV pathology. Furthermore, XR could simulate and aid ring size/type selection for MV annuloplasty, creating a personalized surgical plan. Additionally, XR could estimate the postoperative MV biomechanical and physiological characteristics, predicting and pre-empting post-operative complications.
XR demonstrated promising applications for assisting MV surgery, enhancing outcomes and patient-centred care, nevertheless, there remain the need for randomized studies to ascertain its feasibility, safety, and validity in clinical practice.
鉴于二尖瓣(MV)病变和相关手术技术的多样性,扩展现实(XR)在辅助 MV 外科医生方面具有巨大潜力。本综述旨在系统评估目前关于 XR 及其相关技术在 MV 手术中应用的现有证据。
系统检索了 EMBASE、MEDLINE、Cochrane 数据库和 Google Scholar 中从成立到 2022 年 2 月发表的探讨 XR 和 MV 手术应用的原始文章和病例报告,进行了数据库搜索。
我们的搜索共产生了 171 篇文章,其中 15 项研究纳入本综述,共纳入 328 例患者。确定了两个主要的应用领域:(i)术前规划和(ii)预测术后结果。报告与术前规划相关结果的文章进一步分为以下几类:(i)二尖瓣环评估;(ii)培训;(iii)手术技术评估;(iv)手术入路或方案;(v)选择环的大小或类型。术前,XR 已被证明比超声心动图更能准确地评估二尖瓣环病变,使外科医生了解特定患者 MV 病变的最佳手术技术、入路和方案。此外,XR 可以模拟并辅助 MV 瓣环成形术的环大小/类型选择,制定个性化的手术计划。此外,XR 可以估计 MV 术后生物力学和生理特征,预测和预防术后并发症。
XR 为辅助 MV 手术提供了有前途的应用,改善了手术结果和以患者为中心的护理,但仍需要随机研究来确定其在临床实践中的可行性、安全性和有效性。