Cervical laminoforaminotomy for radiculopathy: Symptomatic and functional outcomes in a large cohort with long-term follow-up

Autor: Marie Kerr, Janice Bynum, Eileen Maloney-Wilensky, Ryan W. Faught, Mark A. Attiah, Ephraim W. Church, Frederick A. Simeone, Stephen J. Dante, Casey H. Halpern, William C. Welch, Sharon Hayden, Usha Balmuri
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Surgical Neurology International
ISSN: 2152-7806
2229-5097
Popis: BACKGROUND: The efficacy and safety of cervical laminoforaminotomy (FOR) in the treatment of cervical radiculopathy has been demonstrated in several series with follow-up less than a decade. However, there is little data analyzing the relative effectiveness of FOR for radiculopathy due to soft disc versus osteophyte disease. In the present study, we review our experience with FOR in a single-center cohort, with long-term follow-up. METHODS: We examined the charts of patients who underwent 1085 FORs between 1990 and 2009. A cohort of these patients participated in a telephone interview designed to assess improvement in symptoms and function. RESULTS: A total of 338 interviews were completed with a mean follow-up of 10 years. Approximately 90% of interviewees reported improved pain, weakness, or function following FOR. Ninety-three percent of patients were able to return to work after FOR. The overall complication rate was 3.3%, and the rate of recurrent radiculopathy requiring surgery was 6.2%. Soft disc subtypes compared to osteophyte disease by operative report were associated with improved symptoms (P < 0.05). The operative report of these pathologic subtypes was associated with the preoperative magnetic resonance imaging (MRI) interpretation (P < 0.001). CONCLUSIONS: These results suggest that FOR is a highly effective surgical treatment for cervical radiculopathy with a low incidence of complications. Radiculopathy due to soft disc subtypes may be associated with a better prognosis compared to osteophyte disease, although osteophyte disease remains an excellent indication for FOR.
Databáze: OpenAIRE