Application of Multimodal Reconstruction Technology and 3D Printing Technology in MVD Surgery.

Jinkai Liu,Yifei Zhang,Xiaowei Tao,Bing Wang
{"title":"Application of Multimodal Reconstruction Technology and 3D Printing Technology in MVD Surgery.","authors":"Jinkai Liu,Yifei Zhang,Xiaowei Tao,Bing Wang","doi":"10.1097/scs.0000000000010612","DOIUrl":null,"url":null,"abstract":"Microvascular decompression (MVD) plays a pivotal role in the treatment of cranial neurovascular compression syndromes, yet the safety and precision of the surgery remain a focus of clinical attention. This article delves into the application of multimodal reconstruction and 3D printing technologies in MVD surgeries, evaluating their effectiveness in preoperative planning. Multimodal reconstruction, by integrating various imaging techniques such as magnetic resonance imaging (MRI) and computed tomography (CT), provides high-resolution anatomical information, offering comprehensive data support for preoperative planning and intraoperative navigation. Complementing this, 3D printing technology presents patients' anatomical structures as individualized physical models, enabling surgeons to fabricate corresponding skin templates for surgical needs, offering intuitive and practical references. Case studies presented in this article demonstrate the application and efficacy of these technologies in actual MVD surgeries. The results suggest that multimodal reconstruction and 3D printing technologies aid surgical teams in better understanding patients' anatomical structures during preoperative planning, enhancing surgical accuracy, reducing operative time, and shortening hospital stays. Despite notable advancements in MVD surgeries, challenges such as data accuracy, technological complexity, and cost persist. Future research should aim to address these issues, further optimizing the technologies and promoting their widespread application in neurosurgical procedures. Through in-depth investigation and understanding of these advanced technologies, we hope to pave new paths for improving surgical outcomes and patients' quality of life.","PeriodicalId":501649,"journal":{"name":"The Journal of Craniofacial Surgery","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Craniofacial Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/scs.0000000000010612","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Microvascular decompression (MVD) plays a pivotal role in the treatment of cranial neurovascular compression syndromes, yet the safety and precision of the surgery remain a focus of clinical attention. This article delves into the application of multimodal reconstruction and 3D printing technologies in MVD surgeries, evaluating their effectiveness in preoperative planning. Multimodal reconstruction, by integrating various imaging techniques such as magnetic resonance imaging (MRI) and computed tomography (CT), provides high-resolution anatomical information, offering comprehensive data support for preoperative planning and intraoperative navigation. Complementing this, 3D printing technology presents patients' anatomical structures as individualized physical models, enabling surgeons to fabricate corresponding skin templates for surgical needs, offering intuitive and practical references. Case studies presented in this article demonstrate the application and efficacy of these technologies in actual MVD surgeries. The results suggest that multimodal reconstruction and 3D printing technologies aid surgical teams in better understanding patients' anatomical structures during preoperative planning, enhancing surgical accuracy, reducing operative time, and shortening hospital stays. Despite notable advancements in MVD surgeries, challenges such as data accuracy, technological complexity, and cost persist. Future research should aim to address these issues, further optimizing the technologies and promoting their widespread application in neurosurgical procedures. Through in-depth investigation and understanding of these advanced technologies, we hope to pave new paths for improving surgical outcomes and patients' quality of life.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
多模态重建技术和 3D 打印技术在脑血管缺损外科手术中的应用。
微血管减压术(MVD)在治疗颅内神经血管压迫综合征中起着举足轻重的作用,但手术的安全性和精确性仍是临床关注的焦点。本文深入探讨了多模态重建和 3D 打印技术在 MVD 手术中的应用,评估了它们在术前规划中的有效性。多模态重建通过整合各种成像技术,如磁共振成像(MRI)和计算机断层扫描(CT),提供高分辨率的解剖信息,为术前规划和术中导航提供全面的数据支持。作为补充,3D 打印技术将患者的解剖结构以个性化物理模型的形式呈现出来,使外科医生能够根据手术需要制作相应的皮肤模板,提供直观而实用的参考。本文介绍的案例研究展示了这些技术在实际颅内压增高手术中的应用和功效。研究结果表明,多模态重建和三维打印技术有助于手术团队在术前规划时更好地了解患者的解剖结构,提高手术准确性,缩短手术时间,缩短住院时间。尽管 MVD 手术取得了显著进展,但数据准确性、技术复杂性和成本等挑战依然存在。未来的研究应致力于解决这些问题,进一步优化技术,促进其在神经外科手术中的广泛应用。我们希望通过对这些先进技术的深入研究和了解,为提高手术效果和患者生活质量铺平新的道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Assessment of the Correlation Between Types of Orbital Fractures and Ocular Symptoms, and the Effect of Manual Preformed and Patient-Specific Mesh Implants: A Retrospective Study. Qualitative Research on the Causes of Kinesiophobia in Postoperative Cerebellar Tumor Patients. Platelet-Rich Plasma in the Prevention and Treatment of Medication-Related Osteonecrosis of the Jaw: A Systematic Review and Meta-Analysis. Middle Meningeal Artery Embolization Reduces the Recurrence Rate of Chronic Subdural Hematoma: A Propensity Score Matching Analysis. Big Data Analysis of Facial Fracture Epidemiology in South Korea From 2015 to 2020: Impacts of Aging and Personal Mobility.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1