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混合现实在复杂神经肿瘤手术工作流程中的作用:丘脑手术的病例分析

Role of mixed reality in the workflow of complex neurooncological surgeries: a case analysis in thalamic surgery.

作者信息

Zanuttini Luca, Colombo Elisa, Menna Grazia, Staartjes Victor E, van Doormaal Tristan, Krayenbühl Niklaus, Regli Luca, Serra Carlo

机构信息

Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.

出版信息

Acta Neurochir (Wien). 2025 Sep 2;167(1):236. doi: 10.1007/s00701-025-06657-7.

Abstract

BACKGROUND

Microsurgical resection of thalamic tumors requires precise anatomical knowledge and meticulous preoperative planning. Given the complexity of thalamic surgery, selecting an optimal surgical approach demands an accurate three-dimensional understanding of relevant structures. Advanced imaging post-processing, including three-dimensional (3D) model construction, can aid surgical planning and mental rehearsal of the procedure. The integration of Mixed Reality (MxR) with interactive holograms may further enhance anatomical clarity, improve risk assessment, and facilitate safer and more extensive tumor resection.

METHODS

This retrospective study analyzed patients who underwent thalamic tumor resection with holographic surgical planning between 2022 and 2024. Key anatomical structures, particularly those delimiting the four "free thalamic surfaces", in contact with cerebrospinal fluid spaces, were segmented using post-processing software (Lumi and 3D Slicer) based on volumetric MRI sequences. The resulting patient-specific holograms were utilized preoperatively to simulate and select the optimal surgical approach and intraoperatively to verify its suitability. Demographic, clinical, radiological, and perioperative data were collected.

RESULTS

Ten surgical procedures were performed in nine patients, including seven neuroepithelial tumors and two metastases. All critical structures were successfully segmented, allowing effective surgical simulation and approach selection (8 Anterior Interhemispheric Transcallosal, 2 Perimedian Supracerebellar Transtentorial approaches). The additional planning time for segmentation averaged 45 min. The mean extent of resection achieved was 94.88% (range: 78.6%-100%). At 3-months postoperative follow-up one out of nine patients experienced a permanent new neurological deficit due to surgery.

CONCLUSION

Integrating MxR into the preoperative workflow for microsurgical removal of complex thalamic tumors proved to be a valuable tool for surgical planning, risk assessment, and intraoperative guidance. The additional preparation time required for holographic simulation appears justified given the anatomical complexity of thalamic lesions.

摘要

背景

丘脑肿瘤的显微手术切除需要精确的解剖学知识和细致的术前规划。鉴于丘脑手术的复杂性,选择最佳手术入路需要对相关结构有准确的三维理解。先进的影像后处理技术,包括三维(3D)模型构建,有助于手术规划和对手术过程的预演。混合现实(MxR)与交互式全息图的结合可能会进一步提高解剖清晰度,改善风险评估,并有助于更安全、更广泛地切除肿瘤。

方法

这项回顾性研究分析了2022年至2024年间接受全息手术规划的丘脑肿瘤切除术患者。基于容积MRI序列,使用后处理软件(Lumi和3D Slicer)对关键解剖结构,特别是与脑脊液间隙接触的界定四个“丘脑游离面”的结构进行分割。所得的患者特异性全息图在术前用于模拟和选择最佳手术入路,并在术中用于验证其适用性。收集了人口统计学、临床、放射学和围手术期数据。

结果

9名患者共进行了10次手术,包括7例神经上皮肿瘤和2例转移瘤。所有关键结构均成功分割,从而实现了有效的手术模拟和入路选择(8例经胼胝体前纵裂入路,2例经小脑上幕下中周入路)。分割的额外规划时间平均为45分钟。平均切除范围达到94.88%(范围:78.6%-100%)。术后3个月随访时,9名患者中有1名因手术出现永久性新神经功能缺损。

结论

将MxR整合到复杂丘脑肿瘤显微手术切除的术前工作流程中,被证明是手术规划、风险评估和术中指导的宝贵工具。考虑到丘脑病变的解剖复杂性,全息模拟所需的额外准备时间似乎是合理的。

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