Multidisciplinary Surgical Approach Using Augmented Reality Preplanning for Resection of Giant Thoracic Schwannoma With Robotic-Assisted Thoracoscopic Mobilization.

IF 1.7 4区 医学 Q3 CLINICAL NEUROLOGY Operative Neurosurgery Pub Date : 2024-10-01 Epub Date: 2024-04-30 DOI:10.1227/ons.0000000000001174
Adam C Monek, Rida Mitha, Edward Andrews, Inderpal S Sarkaria, Nitin Agarwal, D Kojo Hamilton
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Abstract

Background and importance: In adults, primary spinal cord tumors account for 5% of all primary tumors of the central nervous system, with schwannomas making up about 74% of all nerve sheath tumors. Thoracic schwannomas can pose a threat to neurovasculature, presenting a significant challenge to safe and complete surgical resection. For patients presenting with complex pathologies including tumors, a dual surgeon approach may be used to optimize patient care and improve outcomes.

Clinical presentation: A 73-year-old female previously diagnosed with a nerve sheath tumor of the fourth thoracic vertebra presented with significant thoracic pain and a history of falls. Imaging showed that the tumor had doubled in size ranging from T3 to T5. Augmented reality volumetric rendering was used to clarify anatomic relationships of the mass for perioperative evaluation and decision-making. A dual surgeon approach was used for complete resection. First, a ventrolateral left video-assisted thoracoscopic surgery was performed with robotic assistance followed by a posterior tumor resection and thoracic restabilization. The patient did well postoperatively.

Conclusion: Although surgical treatment of large thoracic dumbbell tumors presents a myriad of risks, perioperative evaluation with augmented reality, new robotic surgical techniques, and a dual surgeon approach can be implemented to mitigate these risks.

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使用机器人辅助胸腔镜移动技术切除巨大胸腔许旺瘤的多学科手术方法(使用增强现实预规划
背景和重要性:在成人中,原发性脊髓肿瘤占中枢神经系统所有原发性肿瘤的 5%,其中分裂瘤约占所有神经鞘瘤的 74%。胸椎裂孔瘤可对神经血管造成威胁,给安全、彻底的手术切除带来巨大挑战。对于出现包括肿瘤在内的复杂病理的患者,可以采用双外科医生的方法来优化患者护理并提高疗效:临床表现:一名 73 岁的女性患者曾被诊断为第四胸椎神经鞘瘤,并伴有明显的胸痛和跌倒史。影像学检查显示,肿瘤从 T3 到 T5 增大了一倍。手术中使用了增强现实容积渲染技术来明确肿块的解剖关系,以便进行围手术期评估和决策。采用双外科医生方法进行了完全切除。首先,在机器人辅助下进行了腹外侧左侧视频辅助胸腔镜手术,随后进行了后方肿瘤切除和胸廓复位。患者术后恢复良好:尽管胸腔巨大哑铃状肿瘤的手术治疗存在无数风险,但通过增强现实技术、新型机器人手术技术和双外科医生方法进行围手术期评估,可以降低这些风险。
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来源期刊
Operative Neurosurgery
Operative Neurosurgery Medicine-Neurology (clinical)
CiteScore
3.10
自引率
13.00%
发文量
530
期刊介绍: Operative Neurosurgery is a bi-monthly, unique publication focusing exclusively on surgical technique and devices, providing practical, skill-enhancing guidance to its readers. Complementing the clinical and research studies published in Neurosurgery, Operative Neurosurgery brings the reader technical material that highlights operative procedures, anatomy, instrumentation, devices, and technology. Operative Neurosurgery is the practical resource for cutting-edge material that brings the surgeon the most up to date literature on operative practice and technique
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