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논문 기본 정보

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학술저널
저자정보
김태신 (서울대학교병원 신경외과) 구재희 (서울대학교의과대학 신경외과) 김준회 (서울대학교병원 신경외과) 여운탁 (한림대학교) 한정훈 (서울대학교병원 신경외과) 이창현 (서울대학교병원) 김치헌 (서울대학교) 정천기 (서울대학교의학연구원 신경과학연구소)
저널정보
대한척추신경외과학회 Neurospine Neurospine Vol.21 No.3
발행연도
2024.9
수록면
890 - 902 (13page)
DOI
10.14245/ns.2448468.234

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Objective: Classification guides the surgical approach and predicts prognosis. However, existing classifications of spinal schwannomas often result in a high ‘unclassified’ rate. Here, we aim to develop a new comprehensive classification for spinal schwannomas based on their presumed origin. We compared the new classification with the existing classifications regarding the rate of ‘unclassified’. Finally, we assessed the surgical strategies, outcomes, and complications according to each type of the new classification. Methods: A new classification with 9 types was created by analyzing the anatomy of spinal nerves and the origin of significant tumor portions and cystic components in preoperative magnetic resonance images. A total of 482 patients with spinal schwannomas were analyzed to compare our new classification with the existing classifications. We defined ‘unclassified’ as the inability to classify a patient with spinal schwannoma using the classification criteria. Surgical approaches and outcomes were also aligned with our new classification. Results: Our classification uniquely reported no ‘unclassified’ cases, indicating full applicability. Also, the classification has demonstrated usefulness in predicting the surgical outcome with the approach planned. Gross total removal rates reached 88.0% overall, with type 1 and type 2 tumors at 95.3% and 96.0% respectively. The approach varied with tumor type, with laminectomy predominantly used for types 1, 2, and 9, and facetectomy with posterior fixation used for type 3 tumors. Conclusion: The new classification for spinal schwannomas based on presumed origin is applicable to all spinal schwannomas. It could help plan a surgical approach and predict its outcome, compared with existing classifications.

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