Searchable abstracts of presentations at key conferences in endocrinology

ea0081p549 | Calcium and Bone | ECE2022

Artificial intelligence based on radiomic analysis of lumbar spine computed tomography (ct) scan may improve accuracy in detecting osteoporosis

Biamonte Emilia , Garoli Federico , Levi Riccardo , Vena Walter , Carrone Flaminia , Jafaar Simona , Fornari Maurizio , Grimaldi Marco , Politi Letterio , Lania Andrea , Mazziotti Gherardo

Background: Osteoporosis is characterized by reduced bone mass and a compromised bone microstructure, leading to increased bone fragility and fracture risk. Currently, the gold standard for diagnosis is the bone mineral density (BMD) measurement by DXA. However, approximately half of fragility fractures occurs in the context of normal or slightly decreased BMD values.Protocol: In this cross-sectional study, we performed an artificial intelligence (AI)-ba...

ea0099p542 | Pituitary and Neuroendocrinology | ECE2024

DXA-derived lumbar bone strain index corrected for kyphosis is associated with vertebral fractures in acromegaly

Jafaar Simona , Cristofolini Giacomo , Morenghi Emanuela , Rinaudo Luca , Francesca Birtolo Maria , Sala Elisa , Ferrante Emanuele , Mungari Roberta , Lavezzi Elisabetta , Leonardi Lorenzo , Ragucci Pasquala , Massimo Ulivieri Fabio , Balzarini Luca , Mantovani Giovanna , Lania Andrea , Mazziotti Gherardo

The bone strain index (BSI) is a marker of bone deformation based on a finite element analysis inferred from dual X-ray absorptiometry (DXA) scans, that has been proposed as a predictor of fractures in osteoporosis. BSI value represents the average equivalent strain in a skeletal site, assuming that a higher strain level (higher BSI) indicates a lower bone’s resistance to loads with consequent higher risk of fractures. BSI index is usually calculated for specific loading ...