Publications by authors named "F Becce"
Article Synopsis
- CPPD disease is a significant cause of arthritis that can resemble other rheumatic conditions, making accurate diagnosis crucial.
- A deep-learning algorithm was developed and tested to automatically detect CPPD features in hand radiographs, focusing specifically on certain joint areas.
- The combined model for detecting CPPD showed strong performance metrics, with a mean AUROC of 0.86 and good sensitivity and specificity, while separate models for different joint areas had varying success rates.
There is currently no definitive evidence for the implant of choice for the treatment of reverse pertrochanteric fractures. Here, we aimed to compare the stability provided by two implant options: long and short intramedullary nails. We performed finite element simulations of different patterns of reverse pertrochanteric fractures with varying bone quality, and compared the short vs long nail stabilization under physiological loads.
View Article and Find Full Text PDFArticle Synopsis
- The study aimed to analyze the disease, demographic, and imaging characteristics linked to different types of calcium pyrophosphate deposition (CPPD) disease, focusing on recurrent acute CPP crystal arthritis, chronic CPP crystal inflammatory arthritis, and crowned dens syndrome (CDS).
- Researchers utilized data from an international cohort of 618 individuals to investigate the phenotypic traits of each type of CPPD and performed multivariable logistic regression to assess associations between risk factors and inflammatory phenotypes.
- Key findings indicated that longer disease duration correlated with recurrent acute arthritis, while chronic arthritis was linked to specific joint issues and less associated with metabolic risks, and CDS was more common in males with greater joint involvement. *
Objectives: Apply a modified Delphi-based approach and produce a practical, radiology-specific set of definitions for interpretation and standardization of the multiple MRI findings in axial spondyloarthritis (ax-SpA), specifically to aid the general radiologist with a musculoskeletal interest, working with gold standard basic MRI protocols.
Materials And Methods: We report the results of a modified Delphi-based consensus of 35 experts from 13 countries in the Arthritis Subcommittee of the European Society of Musculoskeletal Radiology (ESSR). Seventeen definitions were created (i.
Objectives: To develop and validate an open-source deep learning model for automatically quantifying scapular and glenoid morphology using CT images of normal subjects and patients with glenohumeral osteoarthritis.
Materials And Methods: First, we used deep learning to segment the scapula from CT images and then to identify the location of 13 landmarks on the scapula, 9 of them to establish a coordinate system unaffected by osteoarthritis-related changes, and the remaining 4 landmarks on the glenoid cavity to determine the glenoid size and orientation in this scapular coordinate system. The glenoid version, glenoid inclination, critical shoulder angle, glenopolar angle, glenoid height, and glenoid width were subsequently measured in this coordinate system.