Nicola Schieda1, Matthew D F McInnes, Lilly Cao. 1. Department of Medical Imaging, Ottawa Hospital Research Institute, Ottawa Hospital Civic Campus, Room c159, 1053 Carling Ave, Ottawa, ON, K1Y 4E9, Canada, nschieda@toh.on.ca.
Abstract
OBJECTIVES: To use systematic review to evaluate the diagnostic accuracy of segmental enhancement inversion (SEI) at contrast-enhanced biphasic multi-detector computed tomography (MDCT) for the diagnosis of renal oncocytoma. METHODS: Several electronic databases were searched through October 2013. Two reviewers independently selected studies that met the inclusion criteria and extracted data. Study quality was assessed with the QUADAS-2 tool. The primary 2 × 2 data were investigated with forest plot and ROC plot of sensitivity and specificity. RESULTS: Four studies met the inclusion criteria (307 patients). Considerable heterogeneity between studies precluded meta-analysis. Two studies from the same group of investigators demonstrated reasonable diagnostic accuracy (sensitivity 59-80 % and specificity 87-99 %), while two others did not (sensitivity 0-6 %, specificity 93-100 %). Possible reasons for this include timing of biphasic MDCT and methods of interpretation but not size of lesion. CONCLUSIONS: SEI is a specific imaging finding of renal oncocytoma with highly variable sensitivity. This substantial heterogeneity across studies and between institutions suggests that further validation of this imaging finding is necessary prior to application in clinical practice. KEY POINTS: SEI on CT in small renal masses is specific for oncocytoma. Sensitivity of SEI varies substantially between studies and across institutions. Variability could relate to CT timing or methods of interpretation. High accuracy of SEI has only been reported by one group. Validation of SEI is needed prior to clinical implementation.
OBJECTIVES: To use systematic review to evaluate the diagnostic accuracy of segmental enhancement inversion (SEI) at contrast-enhanced biphasic multi-detector computed tomography (MDCT) for the diagnosis of renal oncocytoma. METHODS: Several electronic databases were searched through October 2013. Two reviewers independently selected studies that met the inclusion criteria and extracted data. Study quality was assessed with the QUADAS-2 tool. The primary 2 × 2 data were investigated with forest plot and ROC plot of sensitivity and specificity. RESULTS: Four studies met the inclusion criteria (307 patients). Considerable heterogeneity between studies precluded meta-analysis. Two studies from the same group of investigators demonstrated reasonable diagnostic accuracy (sensitivity 59-80 % and specificity 87-99 %), while two others did not (sensitivity 0-6 %, specificity 93-100 %). Possible reasons for this include timing of biphasic MDCT and methods of interpretation but not size of lesion. CONCLUSIONS: SEI is a specific imaging finding of renal oncocytoma with highly variable sensitivity. This substantial heterogeneity across studies and between institutions suggests that further validation of this imaging finding is necessary prior to application in clinical practice. KEY POINTS: SEI on CT in small renal masses is specific for oncocytoma. Sensitivity of SEI varies substantially between studies and across institutions. Variability could relate to CT timing or methods of interpretation. High accuracy of SEI has only been reported by one group. Validation of SEI is needed prior to clinical implementation.
Authors: B Perez-Ordonez; G Hamed; S Campbell; R A Erlandson; P Russo; P B Gaudin; V E Reuter Journal: Am J Surg Pathol Date: 1997-08 Impact factor: 6.394
Authors: Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher Journal: BMJ Date: 2009-07-21
Authors: Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt Journal: Ann Intern Med Date: 2011-10-18 Impact factor: 25.391
Authors: Nicola Schieda; Maali Al-Subhi; Trevor A Flood; Mohammed El-Khodary; Matthew D F McInnes Journal: Eur Radiol Date: 2014-07-17 Impact factor: 5.315
Authors: Matthew S Davenport; Hersh Chandarana; Nicole E Curci; Ankur Doshi; Samuel D Kaffenberger; Ivan Pedrosa; Erick M Remer; Nicola Schieda; Atul B Shinagare; Andrew D Smith; Zhen J Wang; Shane A Wells; Stuart G Silverman Journal: Abdom Radiol (NY) Date: 2018-09
Authors: Robert S Lim; Matthew D F McInnes; Mahadevaswamy Siddaiah; Trevor A Flood; Luke T Lavallee; Nicola Schieda Journal: Eur Radiol Date: 2018-02-28 Impact factor: 5.315
Authors: Alberto Diaz de Leon; Matthew S Davenport; Stuart G Silverman; Nicola Schieda; Jeffrey A Cadeddu; Ivan Pedrosa Journal: AJR Am J Roentgenol Date: 2019-04-17 Impact factor: 3.959
Authors: Nicola Schieda; Christian B van der Pol; Bardia Moosavi; Matthew D F McInnes; Kien T Mai; Trevor A Flood Journal: Eur Radiol Date: 2015-02-14 Impact factor: 5.315
Authors: Kousei Ishigami; Aaron R Jones; Laila Dahmoush; Leandro V Leite; Marius G Pakalniskis; Thomas J Barloon Journal: Insights Imaging Date: 2014-12-14