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ea0081p120 | Endocrine-Related Cancer | ECE2022

Novel panels of tissue microRNAs to diagnose adrenocortical malignancy based on artificial intelligence tools

Turai Peter , Herold Zoltan , Nyiro Gabor , Borka Katalin , Micsik Tamas , Toke Judit , Szucs Nikolette , Toth Miklos , Patocs Attila , Igaz Peter

Adrenocortical tumors are common, occuring in 5-7% of the population. Adrenocortical carcinoma (ACC) is rare (0.7-2/million/year) and it has a poor prognosis with a five-year survival of less than 30% in advanced stages. The histological differentiation of benign and malignant adrenocortical tumors is challenging.Objectives: To explore the diagnostic utility of multiple microRNAs in various combinations as markers of adrenocortical malignancy by using ar...

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ea0099oc11.4 | Oral Communications 11: Adrenal and Cardiovascular Endocrinology | Part II | ECE2024

Machine learning-based differentiation of uni- and bilateral primary aldosteronism using circulating microRNA combinations

Vekony Balint , Nyirő Gabor , Herold Zoltan , Fekete Janos , Ceccato Filiipo , Gruber Sven , Kurzinger Lydia , Parasiliti-Caprino Mirko , Szucs Nikolette , Szeredas Balint , Nazri Siti Khadija Syed Mohammed , Fell Vanessa , Bassiony Mohamed , Azizan Elena A B Aisha , Bancos Irina , Beuschlein Felix , Igaz Peter

Background: Primary aldosteronism (PA) is the most prevalent cause of secondary hypertension. Its two main clinical forms are unilateral adenoma (APA) and bilateral hyperplasia (BAH), which require markedly different medical treatments, so differentiating between the two is of utmost clinical importance. The current gold standard method for this is adrenal vein sampling (AVS), the application of which is hindered by limited availability and high skill requirements.AimOur goal ...

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Endocrine Abstracts

Novel panels of tissue microRNAs to diagnose adrenocortical malignancy based on artificial intelligence tools

Machine learning-based differentiation of uni- and bilateral primary aldosteronism using circulating microRNA combinations

BiosciAbstracts