Integration of clinical parameters and CT-based radiomics improves machine learning assisted subtyping of primary hyperaldosteronism

OBJECTIVES: The aim of this study was to investigate an integrated diagnostics approach for prediction of the source of aldosterone overproduction in primary hyperaldosteronism (PA). METHODS: 269 patients from the prospective German Conn Registry with PA were included in this study. After segmentati...

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Detalles Bibliográficos
Autores principales: Mansour, Nabeel, Mittermeier, Andreas, Walter, Roman, Schachtner, Balthasar, Rudolph, Jan, Erber, Bernd, Schmidt, Vanessa F., Heinrich, Daniel, Bruedgam, Denise, Tschaidse, Lea, Nowotny, Hanna, Bidlingmaier, Martin, Kunz, Sonja L., Adolf, Christian, Ricke, Jens, Reincke, Martin, Reisch, Nicole, Wildgruber, Moritz, Ingrisch, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484561/
https://www.ncbi.nlm.nih.gov/pubmed/37693351
http://dx.doi.org/10.3389/fendo.2023.1244342

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484561/
https://www.ncbi.nlm.nih.gov/pubmed/37693351
http://dx.doi.org/10.3389/fendo.2023.1244342

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