Diagnostic accuracy of Lateral X-Ray of Cervical Spine in detection of fracture in hospitalized patients.

Abstract

Background: Lateral X-ray of the cervical spine (LCSX) is a common diagnostic tool to detect fractures in hospitalized patients. Its non-invasive nature and cost-effectiveness make it a preferred imaging technique for rapid identification of cervical spine fractures. However, its diagnostic accuracy is still a subject of debate and further research is needed to establish its reliability and validity. This study aimed to determine the diagnostic accuracy of LCSX in detecting fractures in hospitalized patients, using multi-detector computed tomography (MDCT) as the gold standard. Methodology: This cross-sectional retrospective study was conducted at a tertiary care hospital in Karachi. The study included 431 male and female patients aged between 18 to 60 years referred by the primary medical team to the Radiology Department for both LCSX and MDCT to detect cervical spine fractures. Patients with known cases of cervical spine fractures determined by history, examination, and previous radiological modalities like LCSX, MDCT, or MRI at the time of imaging were included. Results: LCSX identified 63 cases (14.6%) as having cervical spine fractures, while 368 cases (85.3%) were reported as not having cervical spine fractures. However, on MDCT, 116 cases (26.9%) out of the 431 cases were found to have cervical spine fractures, while 315 cases (73.08%) were reported as not having cervical spine fractures. The sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of LCSX were calculated. The sensitivity of LCSX was found to be 58.35%, specificity was 100%, positive predictive value was 100%, negative predictive value was 85.59%, and diagnostic accuracy was 87.70%. Conclusion: LCSX has low sensitivity as a diagnostic tool in detecting cervical spine fractures in trauma patients, resulting in missed diagnoses of critical cervical spine fractures and compromised patient care, which can lead to increased morbidity and mortality.