Criteria for the selective use of chest computed tomography in blunt trauma patients

Eur Radiol. 2010 Apr;20(4):818-28. doi: 10.1007/s00330-009-1608-y. Epub 2009 Sep 17.

Abstract

Purpose: The purpose of this study was to derive parameters that predict which high-energy blunt trauma patients should undergo computed tomography (CT) for detection of chest injury.

Methods: This observational study prospectively included consecutive patients (>or=16 years old) who underwent multidetector CT of the chest after a high-energy mechanism of blunt trauma in one trauma centre.

Results: We included 1,047 patients (median age, 37; 70% male), of whom 508 had chest injuries identified by CT. Using logistic regression, we identified nine predictors of chest injury presence on CT (age >or=55 years, abnormal chest physical examination, altered sensorium, abnormal thoracic spine physical examination, abnormal chest conventional radiography (CR), abnormal thoracic spine CR, abnormal pelvic CR or abdominal ultrasound, base excess <-3 mmol/l and haemoglobin <6 mmol/l). Of 855 patients with >or=1 positive predictors, 484 had injury on CT (95% of all 508 patients with injury). Of all 192 patients with no positive predictor, 24 (13%) had chest injury, of whom 4 (2%) had injuries that were considered clinically relevant.

Conclusion: Omission of CT in patients without any positive predictor could reduce imaging frequency by 18%, while most clinically relevant chest injuries remain adequately detected.

Trial registration: ClinicalTrials.gov NCT00228111.

Publication types

  • Clinical Trial

MeSH terms

  • Algorithms*
  • Female
  • Humans
  • Male
  • Netherlands / epidemiology
  • Radiographic Image Enhancement / methods
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Radiography, Thoracic / statistics & numerical data*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Thoracic Injuries / diagnostic imaging*
  • Thoracic Injuries / epidemiology
  • Tomography, X-Ray Computed / statistics & numerical data*
  • Wounds, Nonpenetrating / diagnostic imaging*
  • Wounds, Nonpenetrating / epidemiology

Associated data

  • ClinicalTrials.gov/NCT00228111