Published March 16, 2023 | Version v1
Journal article Open

Concordance of chest x-ray with chest CT by body mass index

  • 1. Washington State University

Description

Introduction

Patients with suspected thoracic pathology frequently get imaging with conventional radiography or chest x-rays (CXR) and computed tomography (CT). CXR include one or two planar views, compared to the three-dimensional images generated by chest CT. CXR imaging has the advantage of lower costs and lower radiation exposure at the expense of lower diagnostic accuracy, especially in patients with large body habitus.

Objectives

To determine whether CXR imaging could achieve acceptable diagnostic accuracy in patients with a low body mass index (BMI).

Methods

This retrospective study evaluated 50 patients with age of 63 ± 12 years old, 92% male, BMI 31.7 ± 7.9, presenting with acute, nontraumatic cardiopulmonary complaints who underwent CXR followed by CT within 1 day. Diagnostic accuracy was determined by comparing scan interpretation with the final clinical diagnosis of the referring clinician.

Results

CT results were significantly correlated with CXR results (r = 0.284, p = 0.046). Correcting for BMI did not improve this correlation (r = 0.285, p = 0.047). Correcting for BMI and age also did not improve the correlation (r = 0.283, p = 0.052), nor did correcting for BMI, age, and sex (r = 0.270, p = 0.067). Correcting for height alone slightly improved the correlation (r = 0.290, p = 0.043), as did correcting for weight alone (r = 0.288, p = 0.045). CT accuracy was 92% (SE = 0.039) vs. 60% for CXR (SE = 0.070, p < 0.01).

Conclusion

Accounting for patient body habitus as determined by either BMI, height, or weight did not improve the correlation between CXR accuracy and chest CT accuracy. CXR is significantly less accurate than CT even in patients with a low BMI.

Files

peerj-15090.pdf

Files (2.1 MB)

Name Size Download all
md5:dcc83946f6babf7ac26f356afd045875
11.6 kB Download
md5:685b98deabc21beba4a426837fbf7c5b
13.4 kB Download
md5:f6c9e8f648c02b7d1bac9d86a25d8974
2.1 MB Preview Download