Affiliation:
1. 1Departments of Endocrinology, Diabetes and Nutrition
2. 2Departments of Radiology, CHU Haut-Leveque and University of Bordeaux, Bordeaux, France
3. 3Public Health Department, Clinical Epidemiology Unit INSERM, CIC 1401 and Bordeaux University Hospital, Bordeaux, France
Abstract
Context
The recent recommendations of the European Endocrine Society states that the performance of computed tomography (CT) to characterize ‘true' adrenal incidentalomas (AIs) remains debatable.
Objective
To determine relevant thresholds for usual CT parameters for the diagnosis of benign tumors using robust reference standard among a large series of ‘true’ AIs recruited in an endocrinological setting.
Design
Retrospective study of 253 AIs in 233 consecutive patients explored in a single university hospital: 183 adenomas, 33 pheochromocytomas, 23 adrenocortical carcinomas, 5 other malignant tumors and 9 other benign tumors. Reference standard was histopathology in 118 AIs, biological diagnosis of pheochromocytoma in 2 AIs and size stability after at least 1 year of follow-up in 133 AIs.
Methods
Sensitivity, specificity and positive and negative predictive values were estimated for various thresholds of size, unenhanced attenuation (UA), relative and absolute wash-out (RPW, APW) of contrast media. 197 scans were reviewed independently in a blinded fashion by two expert radiologists to assess inter-observer reproducibility of measurements.
Results
Criteria associated with a 100% positive predictive value for the diagnosis of benign AI were: a combination of size and UA: 30 mm and 20 HU or 40 mm and 15 HU, respectively; RPW >53%; and APW >78%. Non-adenomatous AIs with rapid contrast wash-out were exclusively benign pseudocysts and pheochromocytomas, suggesting that classical thresholds of 60% and 40% for APW and RPW, respectively, can be safely used for patients with normal metanephrine values. Inter-observer reproducibility of all parameters was excellent (intra-class correlation coefficients: 0.96–0.99).
Conclusions
Our study, the largest conducted in AIs recruited in an endocrinological setting, suggests safe thresholds for quantitative CT parameters to avoid false diagnoses of benignity.
Subject
Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism
Cited by
38 articles.
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