Searchable abstracts of presentations at key conferences in endocrinology

Endocrine Abstracts

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ea0081rc13.5 | Rapid Communications 13: Adrenal and Cardiovascular Endocrinology 2 | ECE2022

Skeletal muscle mass in patients with adrenal incidentaloma

Colombin Giacomo , Vara Giulio , Fanelli Flaminia , Magagnoli Matteo , Tucci Lorenzo , Coscia Kimberly , Mosconi Cristina , Pagotto Uberto , Vicennati Valentina , Di Dalmazi Guido

Background and aim: The relationship between sarcopenia and overt cortisol excess as in Cushing’s syndrome is well-known. However, only a few studies investigated the relationship between autonomous cortisol secretion (ACS) in adrenal incidentalomas and skeletal muscle mass. The aims of our study were to analyze the skeletal muscle mass in patients with adrenal incidentalomas and to investigate the correlations with hormonal data.Methods: We enrolle...
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ea0090oc9.1 | Oral Communications 9: Adrenal and Cardiovascular Endocrinology 2 | ECE2023

Identification of adrenocortical masses malignancy and aggressivity through radiomics: a pilot study

Tucci Lorenzo , Vara Giulio , Improta Ilaria , Leo Antonio De , Selva Saverio , Balacchi Caterina , Santini Donatella , Mosconi Cristina , Vicennati Valentina , Pagotto Uberto , Dalmazi Guido Di

Background: Adrenal lipid poor adenoma (LPA) and adrenocortical cancer (ACC) may overlap in computerized tomography (CT). Radiomics recently emerged as new tool for malignant behavior identification.Aim: To assess radiomics utility for identification of ACC and LPA in adrenocortical masses with unenhanced (UE) CT scan attenuation≥10 Hounsfield Unit (HU).Methods: We retrospectively enrolled 50 patients, 38 radiologically defin...
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ea0073pep11.4 | Presented ePosters 11: Adrenal and Cardiovascular Endocrinology | ECE2021

Computerized tomography texture analysis in pheochromocytoma: correlation with clinical, biochemical, and histopathological data

Di Dalmazi Guido , Vara Giulio , Leo Antonio De , Paccapelo Alexandro , Tucci Lorenzo , Vicennati Valentina , Selva Saverio , Balacchi Caterina , Santini Donatella , Minni Francesco , Pagotto Uberto , Golfieri Rita , Mosconi Cristina

Computerized tomography (CT) texture analysis (TA) provides a valuable amount of quantitative data on single voxels and their relationship in a target lesions, giving additional value to the CT scan. CTTA has been applied to several oncologic diseases. We aimed to correlate the data derived from CTTA of pheochromocytoma to clinical, biochemical and histopathological data in 30 consecutive patients. Pheochromocytoma was confirmed at histology. The CTTA was performed on unenhanc...
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ea0093oc21 | Oral communication 3: Adrenal Tumors and Neuroendocrine Tumors | EYES2023

Identification of adrenocortical masses malignancy through radiomics: A pilot study

Tucci Lorenzo , Vara Giulio , Improta Ilaria , De Leo Antonio , Selva Saverio , Balacchi Caterina , Santini Donatella , Mosconi Cristina , Vicennati Valentina , Pagotto Uberto , Di Dalmazi Guido

Background: Adrenal lipid poor adenoma (LPA) and adrenocortical cancer (ACC) may overlap in computerized tomography (CT). Radiomics recently emerged as new tool for malignant behavior identification.Aim: To assess radiomics utility for identification of ACC and LPA in adrenocortical masses with unenhanced (UE) CT scan attenuation≥10 Hounsfield Unit (HU).Methods: We retrospectively enrolled 50 patients, 38 radiologically defin...
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ea0099ep326 | Adrenal and Cardiovascular Endocrinology | ECE2024

Radiomics for immunohistochemistry prediction in pheochromocytoma: a pilot study

Tucci Lorenzo , De Leo Antonio , Vara Giulio , Coscia Kimberly , Selva Saverio , Ricci Claudio , Alberici Laura , Balacchi Caterina , Santini Donatella , Vicennati Valentina , Pagotto Uberto , Mosconi Cristina , Tallini Giovanni , Di Dalmazi Guido

Background: Radiomics, or texture analysis, is gaining growing interest for its high prediction performances, mainly for clinical purposes. Radiomics application for pheochromocytoma immunohistochemistry (IHC) and molecular biology prediction is still unexplored.Aim: To evaluate radiomics ability to predict pheochromocytoma IHC.Methods: We retrospectively enrolled 38 pheochromocytoma who underwent surgery at Sant’Orsola-Malpig...
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ea0099oc11.3 | Oral Communications 11: Adrenal and Cardiovascular Endocrinology | Part II | ECE2024

Prediction of adrenal masses nature through texture analysis and deep learning: Preliminary results from ENS@T RADIO-AI multicentric study

Tucci Lorenzo , Vara Giulio , Morelli Valentina , Menendez Torre Edelmiro Luis , Dischinger Ulrich , Markou Athina , Terzolo Massimo , Spyroglou Ariadni , Parazzoli Chiara , Carmen Aresta , Chiodini Iacopo , Rivas Diego , Gutierrez Alba , Schlotelburg Wiebke , Alexandraki Krystallenia , Puglisi Soraya , Improta Ilaria , De Leo Antonio , Selva Saverio , Alberici Laura , De Giglio Andrea , Pantaleo Maria Abbondanza , Balacchi Caterina , Mosconi Cristina , Vicennati Valentina , Pagotto Uberto , Di Dalmazi Guido

Background: Current parameters of conventional radiology have several limitations in defining the nature of adrenal masses. Radiomics, or texture analysis, has shown high diagnostic performance in recent pilot studies, although confirmatory studies are needed. Moreover, the effect of combination of radiomics with hormonal secretion on diagnostic performance is poorly explored.Aim: To evaluate the accuracy of radiomics in predicting adrenal masses nature ...
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Published by BioScientifica

Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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