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Transforaminal Endoscopic Discectomy for Large, Two Level Calcified, Thoracic Disc Herniations With 5-Year Follow-up
To describe technical details and benefits of transforaminal endoscopic discectomy for treatment of patients with large, dorsomedial, calcified thoracic disc herniations at 2 levels and to report on their clinical outcomes in long follow-up period of 5 years using 4 different outcome tools. We prese...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Spinal Neurosurgery Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788411/ https://www.ncbi.nlm.nih.gov/pubmed/33401876 http://dx.doi.org/10.14245/ns.2040090.045 |
Sumario: | To describe technical details and benefits of transforaminal endoscopic discectomy for treatment of patients with large, dorsomedial, calcified thoracic disc herniations at 2 levels and to report on their clinical outcomes in long follow-up period of 5 years using 4 different outcome tools. We present 2 patients with large, calcified disc herniations at 2 levels in mid and lower thoracic spine treated endoscopically in local anesthesia. Clinical outcomes were analyzed using verbal numeric scale (VNS), Roland-Morris low back pain and disability questionnaire (RMQ), Oswestry Disability Index (ODI), and modified MacNab criteria at 6-, 12-, 24-, 60-month follow-up. After transforaminal endoscopic discectomy, both patients had significant postoperative reduction of back pain using VNS and significant outcome improvement using ODI, RMQ score, and modified MacNab criteria. These results did not change during all 4 follow-up periods. Transforaminal percutaneous full-endoscopic discectomy and hand reamers foraminotomy in local anesthesia is feasible and effective surgical technique for patients with large, calcified thoracic disc herniations at 2 levels even in long follow-up period of 5 years using 4 different outcome measuring tools. All 3 outcome measuring tools correlated well with pain reduction using VNS. |
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