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Internal Chain of Correlation of Sagittal Cervical Alignment in Asymptomatic Subjects
Roberto Rossanez1, Raphael de Rezende Pratali2, Justin S Smith3
1Health Sciences Applied to the Locomotor System Graduate Program, Ribeirão Preto Medical School of University of São Paulo, Ribeirão Preto, Brazil.
Study Design:
Cross-sectional observational study in a prospective cohort.
Objective:
To analyze the cervical alignment characteristics and their chain of correlation in a sample of asymptomatic individuals.
Methods:
Asymptomatic adults who had full spinal radiographs performed. Cervical radiographic parameters were measured, including upper cervical curvature (McGregor line-C2), lower cervical curvature (C2-C7), McGregor slope, and sagittal vertical axis from C2-C7 (CSVA) and T1-slope (T1S). Subjects were stratified by age into 3 groups (18-39 years, 40-59 years, and >60 years), and radiographic parameters were compared across age groups and based on sex.
Results:
102 asymptomatic subjects (mean age, 50 years) were included. The T1S significantly increased with age, accompanied by an increase in C2-C7 lordosis. The cervical sagittal alignment, represented by CSVA, did not significantly differ based on age. There was a close correlation among the cervical sagittal parameters, such that the CSVA may be predicted based on the T1S and C2-C7 lordosis. Comparisons of the normative values identified in the present study with those reported in previous studies demonstrate variability in what constitutes normal in different populations.
Conclusion:
This analysis of cervical alignment in a sample of asymptomatic volunteers revealed that with increasing age there is an observed increase in the sagittal inclination of the base of the cervical spine (T1S) that is accompanied by an increase in cervical lordosis as a means of maintaining cervical sagittal alignment (CSVA). The variability in what constitutes normal values for cervical parameters suggests that further study is warranted using standardized methodologies across diverse populations.
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