{"title":"整形和重建手术中的成像和印刷。第2部分:新兴技术","authors":"Michael P. Chae, D. Hunter-Smith, W. Rozen","doi":"10.34239/AJOPS.V2I1.147","DOIUrl":null,"url":null,"abstract":"Background: In the second of a two-part series, we evaluate emerging three-dimensional (3D) imaging and printing techniques based on computed tomography angiography (CT) and magnetic resonance angiography (MRA) for use in plastic and reconstructive surgery. \nMethod: A review of the published English literature dating from 1950 to 2017 was taken using databases such as PubMed, MEDLINE®, Web of Science and EMBASE. \nResults: Image-guided navigation systems using fiducial markers have demonstrated utility in numerous surgical disciplines, including perforator-based flap surgery. However, these systems have largely been superseded by augmented reality (AR) and virtual reality (VR) technologies with superior convenience and speed. With the added benefit of tactile feedback, holograms also appear promising but have yet to be developed beyond the prototypic stage. Aided by a growing volume of digitalised clinical data, machine learning (ML) poses significant benefits for future image-based decision-making processes. \nConclusion: Most studies of image-guided navigation systems, AR, VR, holograms and ML have been presented in small case series and they remain to be analysed using outcomes-based validation studies. However, together they illustrate an exciting future where clinicians will be armed with intuitive technologies for surgical planning and guidance.","PeriodicalId":264055,"journal":{"name":"Australasian Journal of Plastic Surgery","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Imaging and printing in plastic and reconstructive surgery part 2: emerging techniques\",\"authors\":\"Michael P. Chae, D. Hunter-Smith, W. Rozen\",\"doi\":\"10.34239/AJOPS.V2I1.147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: In the second of a two-part series, we evaluate emerging three-dimensional (3D) imaging and printing techniques based on computed tomography angiography (CT) and magnetic resonance angiography (MRA) for use in plastic and reconstructive surgery. \\nMethod: A review of the published English literature dating from 1950 to 2017 was taken using databases such as PubMed, MEDLINE®, Web of Science and EMBASE. \\nResults: Image-guided navigation systems using fiducial markers have demonstrated utility in numerous surgical disciplines, including perforator-based flap surgery. However, these systems have largely been superseded by augmented reality (AR) and virtual reality (VR) technologies with superior convenience and speed. With the added benefit of tactile feedback, holograms also appear promising but have yet to be developed beyond the prototypic stage. Aided by a growing volume of digitalised clinical data, machine learning (ML) poses significant benefits for future image-based decision-making processes. \\nConclusion: Most studies of image-guided navigation systems, AR, VR, holograms and ML have been presented in small case series and they remain to be analysed using outcomes-based validation studies. However, together they illustrate an exciting future where clinicians will be armed with intuitive technologies for surgical planning and guidance.\",\"PeriodicalId\":264055,\"journal\":{\"name\":\"Australasian Journal of Plastic Surgery\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australasian Journal of Plastic Surgery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34239/AJOPS.V2I1.147\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australasian Journal of Plastic Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34239/AJOPS.V2I1.147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:在两部分系列的第二部分中,我们评估了基于计算机断层血管造影(CT)和磁共振血管造影(MRA)的新兴三维(3D)成像和打印技术在整形和重建手术中的应用。方法:使用PubMed、MEDLINE®、Web of Science和EMBASE等数据库,对1950 - 2017年发表的英文文献进行回顾性分析。结果:使用基准标记的图像引导导航系统已在许多外科学科中证明了实用性,包括基于穿支的皮瓣手术。然而,这些系统在很大程度上已被增强现实(AR)和虚拟现实(VR)技术所取代,这些技术具有优越的便利性和速度。有了触觉反馈的额外好处,全息图看起来也很有前途,但还没有发展到原型阶段。在越来越多的数字化临床数据的帮助下,机器学习(ML)为未来基于图像的决策过程带来了巨大的好处。结论:大多数关于图像引导导航系统、AR、VR、全息图和ML的研究都是在小病例系列中提出的,它们仍然需要使用基于结果的验证研究来分析。然而,它们共同展示了一个令人兴奋的未来,临床医生将拥有直观的技术来进行手术计划和指导。
Imaging and printing in plastic and reconstructive surgery part 2: emerging techniques
Background: In the second of a two-part series, we evaluate emerging three-dimensional (3D) imaging and printing techniques based on computed tomography angiography (CT) and magnetic resonance angiography (MRA) for use in plastic and reconstructive surgery.
Method: A review of the published English literature dating from 1950 to 2017 was taken using databases such as PubMed, MEDLINE®, Web of Science and EMBASE.
Results: Image-guided navigation systems using fiducial markers have demonstrated utility in numerous surgical disciplines, including perforator-based flap surgery. However, these systems have largely been superseded by augmented reality (AR) and virtual reality (VR) technologies with superior convenience and speed. With the added benefit of tactile feedback, holograms also appear promising but have yet to be developed beyond the prototypic stage. Aided by a growing volume of digitalised clinical data, machine learning (ML) poses significant benefits for future image-based decision-making processes.
Conclusion: Most studies of image-guided navigation systems, AR, VR, holograms and ML have been presented in small case series and they remain to be analysed using outcomes-based validation studies. However, together they illustrate an exciting future where clinicians will be armed with intuitive technologies for surgical planning and guidance.