Marianna Tryfonidou
Professor at Utrecht University
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About
Marianna Tryfonidou is a Professor at Utrecht University in the Netherlands. Her research focuses on various aspects of veterinary medicine, particularly related to inflammatory joint models, intervertebral disc degeneration, and innovative treatment methods for hip dysplasia in dogs. Recent articles authored by her include studies on the anti-inflammatory effects of Liraglutide, the epidemiology of Modic changes in dogs, and the biomechanical evaluation of artificial intervertebral discs.
Positions (3)
Articles (16)
Automatic grading of intervertebral disc degeneration in lumbar dog spines
Background Intervertebral disc degeneration is frequent in dogs and can be associated with symptoms and functional impairments. The degree of disc degeneration can be assessed on T2‐weighted MRI scans using the Pfirrmann classification scheme, which was developed for the human spine. However, it could also be used to quantify the effectiveness of disc regeneration therapies. We developed and tested a deep learning tool able to automatically score the degree of disc degeneration in dog spines, starting from an existing model designed to process images of human patients. Methods MRI midsagittal scans of 5991 lumbar discs of dog patients were collected and manually evaluated with the Pfirrmann scheme and a modified scheme with transitional grades. A deep learning model was trained to classify the disc images based on the two schemes and tested by comparing its performance with the model processing human images. Results The determination of the Pfirrmann grade showed sensitivities higher than 83% for all degeneration grades, except for grade 5, which is rare in dog spines, and high specificities. In comparison, the correspondent human model had slightly higher sensitivities, on average 90% versus 85% for the canine model. The modified scheme with the fractional grades did not show significant advantages with respect to the original Pfirrmann grades. Conclusions The novel tool was able to accurately and reliably score the severity of disc degeneration in dogs, although with a performance inferior than that of the human model. The tool has potential in the clinical management of disc degeneration in canine patients as well as in longitudinal studies evaluating regenerative therapies in dogs used as animal models of human disorders.
Year:
2024
Year:
2024
Collaborators (20)
Frances C. Bach
-
Jacobus Arts
University of Maastricht
Keita Ito
-
Samaneh Ghazanfari
University of Maastricht
Björn Meij
Utrecht University
Joëll Magré
Universitair Medisch Centrum Utrecht
Laura Creemers
Associate professor
Universitair Medisch Centrum Utrecht
Dino Samartzis
Associate Professor
Rush University
Femke Broere
Prof. at Utrecht University
Utrecht University
Guy Grinwis
Assistant professor
Universiteit Utrecht Faculteit Diergeneeskunde
Jos Malda
Universitair Medisch Centrum Utrecht
Lars Assen
Scientific lecturer
Radboud University Medical Center
Elias Salzer
Eindhoven University of Technology
Lucas A. Smolders
-
Hans‐Joachim Wilke
-
Marion Fusellier
Associate Professor
Oniris
João Pedro Garcia
Assistant Professor
Wageningen University & Research
Christine Le Maitre
Professor of Musculoskeletal Cell Biology and Tissue Regeneration
The University of Sheffield - The Edge
Rosario Isasi
University of Miami Miller School of Medicine
Johannes Vernooij
Utrecht University

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