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Diagnostic performance of computed tomography for bowel endometriosis: A systematic review and meta-analysis
- Source :
- European journal of radiology. 119
- Publication Year :
- 2019
-
Abstract
- Purpose To perform a systematic review and meta-analysis regarding the performance of CT for diagnosis of bowel endometriosis. Materials and methods Pubmed and EMBASE were systematically searched up to March 28, 2019. Diagnostic accuracy studies using CT for diagnosis of bowel endometriosis using laparoscopy followed by histopathology as the reference standard were included. Methodological quality of the included studies was evaluated using Quality Assessment of Diagnostic Accuracy Studies-2. Sensitivity and specificity were pooled using hierarchical summary receiver operating modelling. Meta-regression analysis was done to explore heterogeneity. Results Twelve studies (1091 patients) were included. Pooled sensitivity and specificity were 0.92 (95% confidence interval [CI], 0.83-0.97) and 0.95 (95% CI, 0.88-0.98), respectively. Substantial heterogeneity was present: I2 = 92.38% for sensitivity and 89.09% for specificity. Deeks’ asymmetry test suggested publication bias (p = 0.04). At meta-regression analysis, history of prior surgery for endometriosis was the only significant factor affecting heterogeneity (p Conclusions CT shows excellent performance in the diagnosis of bowel endometriosis. Due to small number of included studies and publication bias, further studies may be needed to validate these results.
- Subjects :
- Adult
medicine.medical_specialty
Tomography Scanners, X-Ray Computed
Adolescent
Endometriosis
Computed tomography
Sensitivity and Specificity
030218 nuclear medicine & medical imaging
03 medical and health sciences
Young Adult
0302 clinical medicine
Intestinal Neoplasms
medicine
Humans
Radiology, Nuclear Medicine and imaging
Laparoscopy
Methodological quality
Prior Surgery
medicine.diagnostic_test
business.industry
General Medicine
Publication bias
Equipment Design
Middle Aged
medicine.disease
Confidence interval
030220 oncology & carcinogenesis
Meta-analysis
Female
Radiology
business
Tomography, X-Ray Computed
Subjects
Details
- ISSN :
- 18727727
- Volume :
- 119
- Database :
- OpenAIRE
- Journal :
- European journal of radiology
- Accession number :
- edsair.doi.dedup.....88754f70508c3f59b5fb80cee9587e83