Diagnostic Accuracy of Non-Invasive Imaging for Detection of Colonic Inflammation in Patients with Inflammatory Bowel Disease: A Systematic Review and Meta-Analysis.
Meshari T AlshammariRebecca StevensonBuraq Abdul-AemaGuangyong ZouVipul JairathShellie Jean RadfordLuca MarcianiGordon William MoranPublished in: Diagnostics (Basel, Switzerland) (2021)
Endoscopy is the gold standard for objective assessment of colonic disease activity in inflammatory bowel disease (IBD). Non-invasive colonic imaging using bowel ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI) may have a role in quantifying colonic disease activity. We reviewed the diagnostic accuracy of these modalities for assessment of endoscopically or histopathologically defined colonic disease activity in IBD. We searched Embase, MEDLINE, and the Web of Science from inception to 20 September 2021. QUADAS-2 was used to evaluate the studies' quality. A meta-analysis was performed using a bivariate model approach separately for MRI and US studies only, and summary receiver operating characteristic (ROC) curves were obtained. CT studies were excluded due to the absence of diagnostic test data. Thirty-seven studies were included. The mean sensitivity and specificity for MRI studies was 0.75 and 0.91, respectively, while for US studies it was 0.82 and 0.90, respectively. The area under the ROC curves (AUC) was 0.88 (95% CI, 0.82 to 0.93) for MRI, and 0.90 (95% CI, 0.75 to 1.00) for US. Both MRI and US show high diagnostic accuracy in the assessment of colonic disease activity in IBD patients.
Keyphrases
- disease activity
- magnetic resonance imaging
- contrast enhanced
- rheumatoid arthritis
- systemic lupus erythematosus
- rheumatoid arthritis patients
- computed tomography
- ankylosing spondylitis
- ulcerative colitis
- juvenile idiopathic arthritis
- case control
- diffusion weighted imaging
- magnetic resonance
- end stage renal disease
- oxidative stress
- positron emission tomography
- chronic kidney disease
- high resolution
- dual energy
- ejection fraction
- image quality
- patients with inflammatory bowel disease
- big data
- fluorescence imaging
- prognostic factors
- quality improvement
- electronic health record
- pet ct
- small bowel
- sensitive detection