Sanker Vivek, Gonzalez-Suarez Aneysis D, Innocenti Niccolo, Cavagnaro Maria Jose, Jeon Ikchan, Zygourakis Corinna, Desai Atman
Department of Neurosurgery, Stanford University, Stanford, California.
Department of Neurosurgery, Yeungnam University Hospital, Yeungnam University College of Medicine, Daegu, South Korea.
J Neurosurg Case Lessons. 2025 Jun 9;9(23). doi: 10.3171/CASE2522.
The surgical methods used to resect sacral tumors are extensive and require maneuvering through complex anatomical systems such as the pelvic organs and sacral nerve roots. These procedures may result in complications and adverse patient outcomes. The technology integrating 3D reconstruction models in the field of spine surgery is rapidly evolving, and these challenging cases present a unique opportunity to leverage this technology's capability for enhanced patient outcomes.
The authors present two sacral tumor cases diagnosed with synovial cell sarcoma and giant cell osteosarcoma, respectively. Both patients underwent a three-staged en bloc tumor resection assisted by 3D reconstruction models. Postoperative imaging showed a complete tumor resection, and the patients symptomatically improved, with no signs of recurrence on follow-up.
Surgical planning and execution have clearly advanced significantly with the introduction of 3D modeling into spine surgery. Based on the authors' experience, this technology can be used to improve outcomes for complicated spinal tumors with successful results. Although these results are encouraging, extensive studies with larger patient cohorts must be carried out to fully appreciate the technology's advantages across a range of patient demographics and tumor types. https://thejns.org/doi/10.3171/CASE2522.
用于切除骶骨肿瘤的手术方法范围广泛，需要在诸如盆腔器官和骶神经根等复杂解剖系统中进行操作。这些手术可能会导致并发症和不良的患者预后。脊柱外科领域中整合三维重建模型的技术正在迅速发展，而这些具有挑战性的病例为利用该技术的能力以改善患者预后提供了独特的机会。
作者分别展示了两例被诊断为滑膜细胞肉瘤和巨细胞骨肉瘤的骶骨肿瘤病例。两名患者均在三维重建模型辅助下接受了分三步的整块肿瘤切除术。术后影像学检查显示肿瘤完全切除，患者症状改善，随访时无复发迹象。
随着三维建模引入脊柱外科，手术规划和实施显然有了显著进展。根据作者的经验，这项技术可用于改善复杂脊柱肿瘤的治疗效果并取得成功。尽管这些结果令人鼓舞，但必须开展针对更大患者群体的广泛研究，以全面了解该技术在一系列患者人口统计学特征和肿瘤类型中的优势。https://thejns.org/doi/10.3171/CASE2522
