Biochemical Assessment of Pheochromocytoma and Paraganglioma.

artificial intelligence catecholamines diagnosis false-positive laboratory tests metanephrines methoxytyramine

Journal

Endocrine reviews
ISSN: 1945-7189
Titre abrégé: Endocr Rev
Pays: United States
ID NLM: 8006258

Informations de publication

Date de publication:
15 09 2023
Historique:
received: 28 09 2022
medline: 18 9 2023
pubmed: 31 3 2023
entrez: 30 3 2023
Statut: ppublish

Résumé

Pheochromocytoma and paraganglioma (PPGL) require prompt consideration and efficient diagnosis and treatment to minimize associated morbidity and mortality. Once considered, appropriate biochemical testing is key to diagnosis. Advances in understanding catecholamine metabolism have clarified why measurements of the O-methylated catecholamine metabolites rather than the catecholamines themselves are important for effective diagnosis. These metabolites, normetanephrine and metanephrine, produced respectively from norepinephrine and epinephrine, can be measured in plasma or urine, with choice according to available methods or presentation of patients. For patients with signs and symptoms of catecholamine excess, either test will invariably establish the diagnosis, whereas the plasma test provides higher sensitivity than urinary metanephrines for patients screened due to an incidentaloma or genetic predisposition, particularly for small tumors or in patients with an asymptomatic presentation. Additional measurements of plasma methoxytyramine can be important for some tumors, such as paragangliomas, and for surveillance of patients at risk of metastatic disease. Avoidance of false-positive test results is best achieved by plasma measurements with appropriate reference intervals and preanalytical precautions, including sampling blood in the fully supine position. Follow-up of positive results, including optimization of preanalytics for repeat tests or whether to proceed directly to anatomic imaging or confirmatory clonidine tests, depends on the test results, which can also suggest likely size, adrenal vs extra-adrenal location, underlying biology, or even metastatic involvement of a suspected tumor. Modern biochemical testing now makes diagnosis of PPGL relatively simple. Integration of artificial intelligence into the process should make it possible to fine-tune these advances.

Identifiants

pubmed: 36996131
pii: 7095670
doi: 10.1210/endrev/bnad011
doi:

Substances chimiques

Metanephrine 5001-33-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

862-909

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Graeme Eisenhofer (G)

Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.

Christina Pamporaki (C)

Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.

Jacques W M Lenders (JWM)

Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
Department of Internal Medicine, Radboud University Medical Centre, 6500 HB Nijmegen, The Netherlands.

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Classifications MeSH