Department of Neurosurgery, Stanford University Medical Center, Stanford, California, USA.
Department of Neurosurgery, Stanford University Medical Center, Stanford, California, USA.
World Neurosurg. 2022 Nov;167:102-110. doi: 10.1016/j.wneu.2022.08.143. Epub 2022 Sep 9.
Primary tumors involving the spine are relatively rare but represent surgically challenging procedures with high patient morbidity. En bloc resection of these tumors necessitates large exposures, wide tumor margins, and poses risks to functionally relevant anatomical structures. Augmented reality neuronavigation (ARNV) represents a paradigm shift in neuronavigation, allowing on-demand visualization of 3D navigation data in real-time directly in line with the operative field.
Here, we describe the first application of ARNV to perform distal sacrococcygectomies for the en bloc removal of sacral and retrorectal lesions involving the coccyx in 2 patients, as well as a thoracic 9-11 laminectomy with costotransversectomy for en bloc removal of a schwannoma in a third patient.
In our experience, ARNV allowed our teams to minimize the length of the incision, reduce the extent of bony resection, and enhanced visualization of critical adjacent anatomy. All tumors were resected en bloc, and the patients recovered well postoperatively, with no known complications. Pathologic analysis confirmed the en bloc removal of these lesions with negative margins.
We conclude that ARNV is an effective strategy for the precise, en bloc removal of spinal lesions including both sacrococcygeal tumors involving the retrorectal space and thoracic schwannomas.
脊柱原发性肿瘤相对少见,但手术难度大,患者发病率高。这些肿瘤的整块切除需要大的暴露面积、广泛的肿瘤边界,并对功能相关的解剖结构构成风险。增强现实神经导航(ARNV)代表了神经导航的范式转变,允许在手术现场实时按需可视化 3D 导航数据。
在这里,我们描述了 ARNV 的首次应用,用于对 2 名患者进行远端尾骨切除术,整块切除涉及尾骨的骶骨和直肠后病变,以及对第 3 名患者进行胸 9-11 椎板切除术和肋横突切除术,整块切除神经鞘瘤。
根据我们的经验,ARNV 使我们的团队能够最大限度地减少切口长度,减少骨切除的范围,并增强对关键毗邻解剖结构的可视化。所有肿瘤均整块切除,患者术后恢复良好,无明显并发症。病理分析证实这些病变整块切除,切缘阴性。
我们得出结论,ARNV 是一种精确的整块切除脊柱病变的有效策略,包括累及直肠后间隙的骶尾部肿瘤和胸 schwannoma。