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1.
Clin Spine Surg ; 35(10): 431-435, 2022 12 01.
Article in English | MEDLINE | ID: mdl-36447348

ABSTRACT

STUDY DESIGN: Operative video and supplemental manuscript. OBJECTIVE: The technical nuances of open-door laminoplasty are described. Potential complications of open-door laminoplasty and strategies for their minimization are discussed. SUMMARY OF BACKGROUND DATA: Cervical laminoplasty may be indicated in patients with cervical myelopathy due to cervical stenosis in the setting of spondylosis, ossification of the posterior longitudinal ligament, congenital stenosis, and traumatic central cord syndrome. METHODS: A video illustrates the nuances of the surgical technique for cervical laminoplasty. RESULTS: Myelopathic patients with preserved lordotic sagittal profile, central stenosis involving several levels, and minimal to no axial neck pain are ideal candidates for laminoplasty. CONCLUSIONS: Cervical laminoplasty provides more stability compared with laminectomy alone and a better range of motion compared with laminectomy with posterior spinal fusion. Understanding the nuances of laminoplasty may help surgeons to avoid complications.


Subject(s)
Laminoplasty , Spinal Cord Diseases , Spondylosis , Humans , Constriction, Pathologic , Laminectomy , Spinal Cord Diseases/diagnostic imaging , Spinal Cord Diseases/surgery
2.
Front Oncol ; 12: 910199, 2022.
Article in English | MEDLINE | ID: mdl-36686824

ABSTRACT

Meningiomas are the most common primary intracranial neoplasm. While traditionally viewed as benign, meningiomas are associated with significant patient morbidity, and certain meningioma subgroups display more aggressive and malignant behavior with higher rates of recurrence. Historically, the risk stratification of meningioma recurrence has been primarily associated with the World Health Organization histopathological grade and surgical extent of resection. However, a growing body of literature has highlighted the value of utilizing molecular characteristics to assess meningioma aggressiveness and recurrence risk. In this review, we discuss preclinical and clinical evidence surrounding the use of molecular classification schemes for meningioma prognostication. We also highlight how molecular data may inform meningioma treatment strategies and future directions.

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