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开创颅外科手术中的增强现实与混合现实:首个拉丁美洲经验。

Pioneering Augmented and Mixed Reality in Cranial Surgery: The First Latin American Experience.

作者信息

Ramírez Romero Alberto, Rodríguez Herrera Andrea Rebeca, Sánchez Cuellar José Francisco, Cevallos Delgado Raúl Enrique, Ochoa Martínez Edith Elizabeth

机构信息

Neurosurgeon Hospital Ángeles Universidad, Mexico City 03330, Mexico.

Neurology Resident CMN 20 de Noviembre, ISSSTE, UNAM, Mexico City 34079, Mexico.

出版信息

Brain Sci. 2024 Oct 16;14(10):1025. doi: 10.3390/brainsci14101025.

DOI:10.3390/brainsci14101025
PMID:39452038
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11506422/
Abstract

INTRODUCTION

Augmented reality (AR) and mixed reality (MR) technologies have revolutionized cranial neurosurgery by overlaying digital information onto the surgical field, enhancing visualization, precision, and training. These technologies enable the real-time integration of preoperative imaging data, aiding in better decision-making and reducing operative risks. Despite challenges such as cost and specialized training needs, AR and MR offer significant benefits, including improved surgical outcomes and personalized surgical plans based on individual patient anatomy.

MATERIALS AND METHODS

This study describes three intracranial surgeries using AR and MR technologies at Hospital Ángeles Universidad, Mexico City, in 2023. Surgeries were performed with VisAR software 3 version and Microsoft HoloLens 2, transforming DICOM images into 3D models. Preoperative MRI and CT scans facilitated planning, and radiopaque tags ensured accurate image registration during surgery. Postoperative outcomes were assessed through clinical and imaging follow-up.

RESULTS

Three intracranial surgeries were performed with AR and MR assistance, resulting in successful outcomes with minimal postoperative complications. Case 1 achieved 80% tumor resection, Case 2 achieved near-total tumor resection, and Case 3 achieved complete lesion resection. All patients experienced significant symptom relief and favorable recoveries, demonstrating the precision and effectiveness of AR and MR in cranial surgery.

CONCLUSIONS

This study demonstrates the successful use of AR and MR in cranial surgery, enhancing precision and clinical outcomes. Despite challenges like training and costs, these technologies offer significant benefits. Future research should focus on long-term outcomes and broader applications to validate their efficacy and cost-effectiveness in neurosurgery.

摘要

引言

增强现实(AR)和混合现实(MR)技术通过将数字信息叠加到手术视野上,彻底改变了颅脑神经外科手术,提高了可视化程度、精准度并改善了培训效果。这些技术能够实时整合术前影像数据,有助于做出更好的决策并降低手术风险。尽管存在成本和专业培训需求等挑战,但AR和MR带来了显著益处,包括改善手术效果以及基于个体患者解剖结构制定个性化手术方案。

材料与方法

本研究描述了2023年在墨西哥城的安赫莱斯大学医院使用AR和MR技术进行的三台颅内手术。手术使用VisAR软件3版本和微软HoloLens 2进行,将DICOM图像转换为3D模型。术前MRI和CT扫描有助于手术规划,不透射线标记确保手术期间图像精确配准。通过临床和影像随访评估术后结果。

结果

在AR和MR辅助下进行了三台颅内手术,取得了成功的结果,术后并发症极少。病例1实现了80%的肿瘤切除,病例2实现了近乎完全的肿瘤切除,病例3实现了病变的完全切除。所有患者的症状均得到显著缓解,恢复情况良好,证明了AR和MR在颅脑手术中的精准性和有效性。

结论

本研究证明了AR和MR在颅脑手术中的成功应用,提高了精准度和临床效果。尽管存在培训和成本等挑战,但这些技术带来了显著益处。未来的研究应关注长期结果和更广泛的应用,以验证其在神经外科手术中的疗效和成本效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/aedec95d31c4/brainsci-14-01025-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/6d7cca6d1113/brainsci-14-01025-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/c7c175cee2b5/brainsci-14-01025-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/8f702b3eac4f/brainsci-14-01025-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/278243c5b864/brainsci-14-01025-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/13af2d263fa7/brainsci-14-01025-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/d625e30f66ac/brainsci-14-01025-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/70c1c4fc64fb/brainsci-14-01025-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/797288cb84c5/brainsci-14-01025-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/aedec95d31c4/brainsci-14-01025-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/6d7cca6d1113/brainsci-14-01025-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/c7c175cee2b5/brainsci-14-01025-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/8f702b3eac4f/brainsci-14-01025-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/278243c5b864/brainsci-14-01025-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/13af2d263fa7/brainsci-14-01025-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/d625e30f66ac/brainsci-14-01025-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/70c1c4fc64fb/brainsci-14-01025-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/797288cb84c5/brainsci-14-01025-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06d1/11506422/aedec95d31c4/brainsci-14-01025-g009.jpg

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