51. Performance of MRI for suspected appendicitis in pediatric patients and negative appendectomy rate: A systematic review and meta-analysis
- Author
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Jung Heon Kim, Chong Hyun Suh, Jeong Rye Kim, Ah Young Jung, Hee Mang Yoon, Jin Seong Lee, Young Ah Cho, and Jeong-Yong Lee
- Subjects
medicine.medical_specialty ,medicine.diagnostic_test ,Receiver operating characteristic ,business.industry ,Magnetic resonance imaging ,Logistic regression ,medicine.disease ,Confidence interval ,Appendicitis ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Study heterogeneity ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Meta-analysis ,medicine ,Radiology, Nuclear Medicine and imaging ,Radiology ,Stage (cooking) ,business - Abstract
Purpose To evaluate in pediatric patients the diagnostic performance of magnetic resonance imaging (MRI) for suspected appendicitis and its negative appendectomy rate. Materials and Methods The study involved diagnostic accuracy studies that used MRI for pediatric patients with suspected appendicitis. Various field strengths and sequences were used in each included study. The diagnostic accuracy of MRI in pediatric patients with suspected appendicitis and negative appendectomy rate were assessed. A search of MEDLINE and EMBASE databases was performed until January 10, 2017. Two reviewers assessed the methodological quality of the articles using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. Pooled sensitivity and specificity for appendicitis diagnosis were calculated using hierarchical logistic regression modeling. Meta-regression was performed to explore factors affecting study heterogeneity. The pooled negative appendectomy rate was analyzed. Results Thirteen original articles with 1946 patients were included. The summary sensitivity and specificity were 97% (95% confidence interval [CI], 95–98%) and 97% (95% CI, 93–98%), respectively; the area under the hierarchical summary receiver operating characteristic (HSROC) curve was 0.98 (95% CI, 0.97–0.99). In meta-regression, use of diffusion-weighted imaging (P
- Published
- 2017
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