Selection of surgical treatment approaches for cervicothoracic spinal tuberculosis: A 10-year case review

BackgroundCervicothoracic spinal tuberculosis is a rare disease. Due to its difficult and challenging surgical exposure, its surgical treatment approach remains inconclusive. Long-term follow-up studies to address this puzzling issue are rarely seen in the literature. The purpose of this study was to explore the selection of surgical treatment approaches for cervicothoracic spinal tuberculosis through a 10-year case review.MethodsFrom January 2003 to January 2013, 45 patients suffering from cervicothoracic spinal tuberculosis were treated surgically. According to the relation between the tuberculosis lesion segments and the suprasternal notch on sagittal MRI, 19 patients were treated with a single-stage anterior debridement, fusion and instrumentation approach, and the other 26 patients were treated with a single-stage anterior debridement and fusion, posterior fusion and instrumentation approach. The clinical efficacy was evaluated using statistical analysis based on the Cobb angle of kyphosis, the Neck Disability Index (NDI) and the Japanese Orthopedic Association (JOA) scoring system. The neurofunctional recovery was assessed by the American Spinal Injury Association (ASIA) system.ResultsAll patients were followed up for 6.6 years on average (range 3–13 years). No instrumentation loosening, migration or breakage was observed during the follow-up. The kyphosis angle and NDI and JOA scores were significantly changed from preoperative values of 34.7±6.8°, 39.6±4.6 and 10.7±2.8 to postoperative values of 10.2±2.4°, 11.4±3.6 and 17.6±2.4, respectively (pConclusionsIn the surgical treatment of cervicothoracic spinal tuberculosis, single-stage cervical anterior approach with or without partial manubriotomy is capable of complete debridement for tuberculosis lesions. The manner of fixation should be selected based on the anatomical relation of the suprasternal notch and the diseased segments as revealed on sagittal MRI images.