Characterization of Adrenal Masses by Using FDG PET: A Systematic Review and Meta-Analysis of Diagnostic Test Performance

Radiology ◽  
2011 ◽  
Vol 259 (1) ◽  
pp. 117-126 ◽  
Author(s):  
Giles W. L. Boland ◽  
Ben A. Dwamena ◽  
Minal Jagtiani Sangwaiya ◽  
Alexander G. Goehler ◽  
Michael A. Blake ◽  
...  
Keyword(s):  
Systematic Review ◽  
Diagnostic Test ◽  
Test Performance ◽  
Fdg Pet ◽  
Meta Analysis ◽  
Adrenal Masses ◽  
Diagnostic Test Performance

scholarly journals MANAGEMENT OF ENDOCRINE DISEASE: Imaging for the diagnosis of malignancy in incidentally discovered adrenal masses: a systematic review and meta-analysis

2016 ◽  
Vol 175 (2) ◽  
pp. R51-R64 ◽  
Author(s):  
Jacqueline Dinnes ◽  
Irina Bancos ◽  
Lavinia Ferrante di Ruffano ◽  
Vasileios Chortis ◽  
Clare Davenport ◽  
...  
Keyword(s):  
Systematic Review ◽  
Test Performance ◽  
Fdg Pet ◽  
Citation Index ◽  
Meta Analysis ◽  
High Sensitivity ◽  
Future Research ◽  
Cochrane Central Register ◽  
Adrenal Imaging ◽  
Adrenal Masses

ObjectiveAdrenal masses are incidentally discovered in 5% of CT scans. In 2013/2014, 81 million CT examinations were undertaken in the USA and 5 million in the UK. However, uncertainty remains around the optimal imaging approach for diagnosing malignancy. We aimed to review the evidence on the accuracy of imaging tests for differentiating malignant from benign adrenal masses.DesignA systematic review and meta-analysis was conducted.MethodsWe searched MEDLINE, EMBASE, Cochrane CENTRAL Register of Controlled Trials, Science Citation Index, Conference Proceedings Citation Index, and ZETOC (January 1990 to August 2015). We included studies evaluating the accuracy of CT, MRI, or18F-fluoro-deoxyglucose (FDG)-PET compared with an adequate histological or imaging-based follow-up reference standard.ResultsWe identified 37 studies suitable for inclusion, after screening 5469 references and 525 full-text articles. Studies evaluated the accuracy of CT (n=16), MRI (n=15), and FDG-PET (n=9) and were generally small and at high or unclear risk of bias. Only 19 studies were eligible for meta-analysis. Limited data suggest that CT density >10HU has high sensitivity for detection of adrenal malignancy in participants with no prior indication for adrenal imaging, that is, masses with ≤10HU are unlikely to be malignant. All other estimates of test performance are based on too small numbers.ConclusionsDespite their widespread use in routine assessment, there is insufficient evidence for the diagnostic value of individual imaging tests in distinguishing benign from malignant adrenal masses. Future research is urgently needed and should include prospective test validation studies for imaging and novel diagnostic approaches alongside detailed health economics analysis.

scholarly journals Diagnostic accuracy of18F-FDG PET or PET/CT for the characterization of adrenal masses: a systematic review and meta-analysis

2018 ◽  
pp. 20170520 ◽  
Author(s):  
Seong-Jang Kim ◽  
Sang-Woo Lee ◽  
Kyoungjune Pak ◽  
In-Ju Kim ◽  
Keunyoung Kim
Keyword(s):  
Systematic Review ◽  
Diagnostic Accuracy ◽  
Fdg Pet ◽  
Meta Analysis ◽  
Pet Ct ◽  
Adrenal Masses

DWI for Renal Mass Characterization: Systematic Review and Meta-Analysis of Diagnostic Test Performance

2015 ◽  
Vol 205 (2) ◽  
pp. 317-324 ◽  
Author(s):  
Stella K. Kang ◽  
Angela Zhang ◽  
Pari V. Pandharipande ◽  
Hersh Chandarana ◽  
R. Scott Braithwaite ◽  
...  
Keyword(s):  
Systematic Review ◽  
Diagnostic Test ◽  
Test Performance ◽  
Renal Mass ◽  
Meta Analysis ◽  
Diagnostic Test Performance

A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies

2021 ◽  
Author(s):  
Imran H. Iftikhar ◽  
Christina E. Finch ◽  
Amit S. Shah ◽  
Cheryl A. Augunstein ◽  
Octavian C. Ioachimescu
Keyword(s):  
Diagnostic Test ◽  
Test Performance ◽  
Meta Analysis ◽  
Peripheral Arterial Tonometry ◽  
Arterial Tonometry ◽  
Diagnostic Test Performance ◽  
Peripheral Arterial

scholarly journals Bayesian Adaptation of the Summary ROC Curve Method for Meta-analysis of Diagnostic Test Performance

2021 ◽  
Vol 7 (3) ◽  
pp. 349-364
Author(s):  
Scott W. Miller ◽  
Debajyoti Sinha ◽  
Elizabeth H. Slate ◽  
Joseph Romagnuolo
Keyword(s):  
Diagnostic Test ◽  
Roc Curve ◽  
Test Performance ◽  
Meta Analysis ◽  
Curve Method ◽  
Diagnostic Test Performance
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