@article{ArltBiehlTayloretal.2011, author = {Arlt, Wiebke and Biehl, Michael and Taylor, Angela E. and Hahner, Stefanie and Lib{\´e}, Rossella and Hughes, Beverly A. and Schneider, Petra and Smith, David J. and Stiekema, Han and Krone, Nils and Porfiri, Emilio and Opocher, Giuseppe and Bertherat, Jer{\^o}me and Mantero, Franco and Allolio, Bruno and Terzolo, Massimo and Nightingale, Peter and Shackleton, Cedric H. L. and Bertagna, Xavier and Fassnacht, Martin and Stewart, Paul M.}, title = {Urine Steroid Metabolomics as a Biomarker Tool for Detecting Malignancy in Adrenal Tumors}, series = {The Journal of Clinical Endocrinology \& Metabolism}, volume = {96}, journal = {The Journal of Clinical Endocrinology \& Metabolism}, number = {12}, doi = {10.1210/jc.2011-1565}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-154682}, pages = {3775 -- 3784}, year = {2011}, abstract = {Context: Adrenal tumors have a prevalence of around 2\% in the general population. Adrenocortical carcinoma (ACC) is rare but accounts for 2-11\% of incidentally discovered adrenal masses. Differentiating ACC from adrenocortical adenoma (ACA) represents a diagnostic challenge in patients with adrenal incidentalomas, with tumor size, imaging, and even histology all providing unsatisfactory predictive values. Objective: Here we developed a novel steroid metabolomic approach, mass spectrometry-based steroid profiling followed by machine learning analysis, and examined its diagnostic value for the detection of adrenal malignancy. Design: Quantification of 32 distinct adrenal derived steroids was carried out by gas chromatography/mass spectrometry in 24-h urine samples from 102 ACA patients (age range 19-84 yr) and 45 ACC patients (20-80 yr). Underlying diagnosis was ascertained by histology and metastasis in ACC and by clinical follow-up [median duration 52 (range 26-201) months] without evidence of metastasis in ACA. Steroid excretion data were subjected to generalized matrix learning vector quantization (GMLVQ) to identify the most discriminative steroids. Results: Steroid profiling revealed a pattern of predominantly immature, early-stage steroidogenesis in ACC. GMLVQ analysis identified a subset of nine steroids that performed best in differentiating ACA from ACC. Receiver-operating characteristics analysis of GMLVQ results demonstrated sensitivity = specificity = 90\% (area under the curve = 0.97) employing all 32 steroids and sensitivity = specificity = 88\% (area under the curve = 0.96) when using only the nine most differentiating markers. Conclusions: Urine steroid metabolomics is a novel, highly sensitive, and specific biomarker tool for discriminating benign from malignant adrenal tumors, with obvious promise for the diagnostic work-up of patients with adrenal incidentalomas.}, language = {en} } @article{DinnesBancosdiRuffanoetal.2016, author = {Dinnes, Jacqueline and Bancos, Irina and di Ruffano, Lavinia Ferrante and Chortis, Vasileios and Davenport, Clare and Bayliss, Susan and Sahdev, Anju and Guest, Peter and Fassnacht, Martin and Deeks, Jonathan J and Arlt, Wiebke}, title = {Imaging for the diagnosis of malignancy in incidentally discovered adrenal masses: a systematic review and meta-analysis}, series = {European Journal of Endocrinology}, volume = {175}, journal = {European Journal of Endocrinology}, number = {2}, doi = {10.1530/EJE-16-0461}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-188086}, pages = {R51-R64}, year = {2016}, abstract = {Objective: Adrenal 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. Design: A systematic review and meta-analysis was conducted. Methods: We 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, or F-18-fluoro-deoxyglucose (FDG)-PET compared with an adequate histological or imaging-based follow-up reference standard. Results: We 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 >10 HU has high sensitivity for detection of adrenal malignancy in participants with no prior indication for adrenal imaging, that is, masses with <= 10 HU are unlikely to be malignant. All other estimates of test performance are based on too small numbers. Conclusions: Despite 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.}, language = {en} } @article{BornsteinAllolioArltetal.2016, author = {Bornstein, Stefan R. and Allolio, Bruno and Arlt, Wiebke and Barthel, Andreas and Don-Wauchope, Andrew and Hammer, Gary D. and Husebye, Eystein S. and Merke, Deborah P. and Murad, M. Hassan and Stratakis, Constantine A. and Torpy, David J.}, title = {Diagnosis and treatment of primary adrenal insufficiency: an Endocrine Society Clinical Practice Guideline}, series = {Journal of Clinical Endocrinology \& Metabolism}, volume = {101}, journal = {Journal of Clinical Endocrinology \& Metabolism}, number = {2}, doi = {10.1210/jc.2015-1710}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-190893}, pages = {364-389}, year = {2016}, abstract = {Objective: This clinical practice guideline addresses the diagnosis and treatment of primary adrenal insufficiency. Participants: The Task Force included a chair, selected by The Clinical Guidelines Subcommittee of the Endocrine Society, eight additional clinicians experienced with the disease, a methodologist, and a medical writer. The co-sponsoring associations (European Society of Endocrinology and the American Association for Clinical Chemistry) had participating members. The Task Force received no corporate funding or remuneration in connection with this review. Evidence: This evidence-based guideline was developed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system to determine the strength of recommendations and the quality of evidence. Consensus Process: The evidence used to formulate recommendations was derived from two commissioned systematic reviews as well as other published systematic reviews and studies identified by the Task Force. The guideline was reviewed and approved sequentially by the Endocrine Society's Clinical Guidelines Subcommittee and Clinical Affairs Core Committee, members responding to a web posting, and the Endocrine Society Council. At each stage, the Task Force incorporated changes in response to written comments. Conclusions: We recommend diagnostic tests for the exclusion of primary adrenal insufficiency in all patients with indicative clinical symptoms or signs. In particular, we suggest a low diagnostic (and therapeutic) threshold in acutely ill patients, as well as in patients with predisposing factors. This is also recommended for pregnant women with unexplained persistent nausea, fatigue, and hypotension. We recommend a short corticotropin test (250 mu g) as the "gold standard" diagnostic tool to establish the diagnosis. If a short corticotropin test is not possible in the first instance, we recommend an initial screening procedure comprising the measurement of morning plasma ACTH and cortisol levels. Diagnosis of the underlying cause should include a validated assay of autoantibodies against 21-hydroxylase. In autoantibody-negative individuals, other causes should be sought. We recommend once-daily fludrocortisone (median, 0.1 mg) and hydrocortisone (15-25 mg/d) or cortisone acetate replacement (20-35 mg/d) applied in two to three daily doses in adults. In children, hydrocortisone (similar to 8 mg/m\(^2\)/d) is recommended. Patients should be educated about stress dosing and equipped with a steroid card and glucocorticoid preparation for parenteral emergency administration. Follow-up should aim at monitoring appropriate dosing of corticosteroids and associated autoimmune diseases, particularly autoimmune thyroid disease.}, language = {en} }