Radiographic measurements to define tree length pin insertion in lumbar vertebrae of canine cadavers through mathematical models

ABSTRACT: This study proposed radiographic measurements of the lumbar vertebral bodies (L1-L6) of canine cadavers capable of predicting the length of insertion of bicortical pins in the vertebral bodies of dogs through a Multiple Linear Regression (MLR) mathematical model. Eleven lumbar spines (L1 t...

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Main Authors: Raquel Baumhardt, Maurício Borges da Rosa, Alexandre Rieger, Nikolas Mateus Pereira de Souza, Mathias Reginatto Wrzesinski, Julia da Silva Rauber, Julya Nathalya Chaves, Diego Vilibaldo Beckmann, Alexandre Mazzanti
Format: Article
Language:English
Published: Universidade Federal de Santa Maria 2025-08-01
Series:Ciência Rural
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782025001000603&lng=en&tlng=en
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Summary:ABSTRACT: This study proposed radiographic measurements of the lumbar vertebral bodies (L1-L6) of canine cadavers capable of predicting the length of insertion of bicortical pins in the vertebral bodies of dogs through a Multiple Linear Regression (MLR) mathematical model. Eleven lumbar spines (L1 to L6) of canine cadavers were selected, and radiographic measurements were performed at the cranial quarter of the vertebral body, width (LQCr), height (AQCr), and height of the cranial epiphysis (AECr), including the length of implant insertion in the cranial quarter of the vertebral body at the midpoint between the pedicle and the transverse process, at angles of 50º, 55º, and 60º. Seven MLR models were created (six individual models for vertebrae L1-L6 and one general model for lumbar spine L1-L6). The adjusted R2 values for the individual models ranged from 0.935 to 0.978, and the mean square error (RMSE) from 0.503 to 0.885 mm. The general model showed an adjusted R2 of 0.922 and an RMSE of 0.991. All individual MLR models exhibited raw residuals of < 2 mm. The radiographic measurements obtained from the bodies of the lumbar vertebrae (L1-L6) of canine cadavers are capable of predicting, through mathematical models, the depth of insertion of bicortical pins in the lumbar vertebral bodies using the midpoint between the pedicle and the transverse process at an angle of 55º in relation to the sagittal plane as a reference, with better results when using individual RLM models.
ISSN:1678-4596