Helical CT-enteroclysis in the detection of small-bowel tumours: a meta-analysis

Eur Radiol. 2013 Feb;23(2):388-99. doi: 10.1007/s00330-012-2595-y. Epub 2012 Aug 4.

Abstract

Objective: To perform a meta-analysis to determine sensitivity and specificity estimates of helical CT-enteroclysis in the detection of small-bowel tumours.

Methods: A search for relevant articles published from January 1992 to November 2010 was performed. Study design, patient characteristics and 2 × 2 contingency tables were recorded for eligible studies. Heterogeneity was assessed with the I (2) statistic. A bivariate generalised linear random-effects model was used to summarise sensitivity and specificity estimates for small-bowel tumour detection on a per-patient basis. Sensitivity and specificity estimates were compared in different subgroups.

Results: Twelve studies (696 patients) were eligible. The mean small-bowel tumour prevalence was 22.6 % (range 7.7-45.8 %). Inter-study heterogeneity was substantial for sensitivity (I (2) = 66.9 %; 95 % CI 28.7-88.5 %) and low for specificity (I (2) = 10.6 %; 95 % CI 0.0-55.0 %). On a per-patient basis, pooled sensitivity was 92.8 % (95 % CI 71.3-98.5 %) and pooled specificity 99.2 % (95 % CI 94.2-99.9 %) for the diagnosis of small-bowel tumour. Subgroup analysis revealed that small-bowel preparation, more than one imaging pass and large volumes (≥2 L) of enteral contrast agent did not improve tumour detection.

Conclusion: Our meta-analysis confirms that helical CT-enteroclysis has high degrees of sensitivity and specificity for small-bowel tumour detection. However, our findings reinforce the need for more standardised individual studies.

Publication types

  • Meta-Analysis
  • Review

MeSH terms

  • Contrast Media
  • Female
  • Humans
  • Intestinal Neoplasms / diagnostic imaging*
  • Intestinal Neoplasms / pathology
  • Intestine, Small / diagnostic imaging*
  • Intestine, Small / pathology
  • Male
  • Radiographic Image Enhancement / methods*
  • Sensitivity and Specificity
  • Tomography, Spiral Computed / methods*

Substances

  • Contrast Media