Literature DB >> 32233669

The diagnostic value of magnetic resonance urography for detecting ureteric obstruction: a systematic review and meta-analysis.

Zhongping Chen1, Huayu Huang1, Jun Yang1, Hongtao Cai1, Yali Yu1.   

Abstract

OBJECTIVE: To evaluate the diagnostic accuracy of magnetic resonance urography (MRU) and determine its value for detecting ureteric obstruction.
METHODS: The electronic databases, including PubMed, Embase and the Cochrane library, were systematically searched for studies published throughout September 2018. The summary of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and receiver operating characteristic (ROC) curves was assessed to evaluate the diagnostic accuracy of MRU. Subgroup analyses were conducted based on the mean age of the included patients (adults or children).
RESULTS: Eight studies with a total of 594 patients were included. The summary of the sensitivity and specificity of MRU for diagnosing ureteric obstruction was 0.94 and 0.87, respectively. Furthermore, the pooled PLR and NLR were 7.33 and 0.07, respectively. The DOR of MRU for detecting ureteric obstruction was 95.12. In addition, the summary of the area under the ROC of MRU was 0.96. Finally, the specificity, PLR and area under the ROC of MRU for diagnosing ureteric obstruction in adults were higher than children, while the sensitivity of MRU in adults was lower than children.
CONCLUSIONS: These findings suggested a relatively high diagnostic value of MRU for detecting ureteric obstruction. Moreover, the diagnostic accuracy of MRU in adults was higher than in children. KEY MESSAGE Magnetic resonance urography (MRU) in detecting ureteric obstruction has relatively better sensitivity, specificity, PLR, NLR, DOR and AUC. The diagnostic value, including specificity, PLR and AUC of MRU in adults, was higher than in children, while the sensitivity of MRU in adults was lower than in children.

Entities:  

Keywords:  Ureter; meta-analysis; systematic review

Year:  2020        PMID: 32233669      PMCID: PMC7877960          DOI: 10.1080/07853890.2020.1741672

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  30 in total

Review 1.  Systematic reviews in health care: Systematic reviews of evaluations of diagnostic and screening tests.

Authors:  J J Deeks
Journal:  BMJ       Date:  2001-07-21

2.  Perirenal MR high signal--a new and sensitive indicator of acute ureteric obstruction.

Authors:  F Regan; J Petronis; M Bohlman; R Rodriguez; R Moore
Journal:  Clin Radiol       Date:  1997-06       Impact factor: 2.350

3.  MR urography in the diagnosis of urinary tract obstruction.

Authors:  G Louca; K Liberopoulos; A Fidas; Z Nikolakopoulou; M Lykourinas; K Strigaris
Journal:  Eur Urol       Date:  1999-02       Impact factor: 20.096

Review 4.  The design of empirical studies: towards a unified view.

Authors:  David R Cox
Journal:  Eur J Epidemiol       Date:  2016-03-11       Impact factor: 8.082

5.  RARE imaging: a fast imaging method for clinical MR.

Authors:  J Hennig; A Nauerth; H Friedburg
Journal:  Magn Reson Med       Date:  1986-12       Impact factor: 4.668

6.  Acute ureteric calculus obstruction: unenhanced spiral CT versus HASTE MR urography and abdominal radiograph.

Authors:  F Regan; B Kuszyk; M E Bohlman; S Jackman
Journal:  Br J Radiol       Date:  2005-06       Impact factor: 3.039

7.  MR imaging of kidneys: functional evaluation using F-15 perfusion imaging.

Authors:  J Damien Grattan-Smith; Marcos R Perez-Bayfield; Richard A Jones; Stephen Little; Bruce Broecker; Edwin A Smith; Hal C Scherz; Andrew J Kirsch
Journal:  Pediatr Radiol       Date:  2003-03-13

8.  Meta-DiSc: a software for meta-analysis of test accuracy data.

Authors:  Javier Zamora; Victor Abraira; Alfonso Muriel; Khalid Khan; Arri Coomarasamy
Journal:  BMC Med Res Methodol       Date:  2006-07-12       Impact factor: 4.615

9.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

10.  Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Marie E Weswood; Anne W S Rutjes; Johannes B Reitsma; Patrick N M Bossuyt; Jos Kleijnen
Journal:  BMC Med Res Methodol       Date:  2006-03-06       Impact factor: 4.615

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