title: Mathematical equation for prediction of cat mandibular canal height dimension based on canine tooth width measurement.
abstract: The present study was performed in a sample of 33 cats and aimed (1) to characterise the mandible height (Mh), mandibular canal height (MCh) and the distance between the interdental alveolar margin and the mandibular canal (dIAM-MC); and (2) to develop a mathematical model for dimension prediction of MCh using the patient's age, weight (Wg) and canine tooth width at the free gingival margin level (wCGM) that was easily accessible during the oral examination.
  
  
  
  Age, sex, breed, weight, skull type and the wCGM were the recorded variables for each patient. Right and left lateral view skull radiographs were made followed by measurements of the mandible anatomical structures, taken between the third premolar distal root and the fourth premolar proximal root. Results were considered statistically significant for P values <0.05, and statistical analysis was performed using SPSS software.
  
  
  
  We observed a strong correlation only between wCGM and MCh, and a prediction mathematical model was developed to calculate the MCh, with a standard error of only 0.4 mm.
  
  
  
  Our study allows a surgeon to establish relationships between a physical parameter, such as wCGM, evaluated in an oral examination, and the mandibular canal, which is a very important anatomical structure to consider in surgical procedures. Ideally, surgeons should always plan their mandible work only after obtaining a final diagnosis achieved through the use of complementary imaging exams, such as intra- and extra-oral radiographs. Thus, this mathematical equation offers an additional tool, providing more information on the relationships between oral anatomical structures, reducing the risk of iatrogenic lesions and promoting patient safety.
authors.affiliation: Anjos of Assis Veterinary Medicine Centre, Barreiro, Portugal.
authors.forename: Miguel
authors.initials: M
authors.lastname: Santos
authors.affiliation: Anjos of Assis Veterinary Medicine Centre, Barreiro, Portugal Faculty of Veterinary Medicine, University of Lisbon, Lisbon, Portugal Centre for Interdisciplinary Research Animal Health (CIISA), Faculty of Veterinary Medcine, University of Lisbon, Portugal miguelcarreira@fmv.ulisboa.pt.
authors.forename: L Miguel
authors.initials: LM
authors.lastname: Carreira
mesh_terms: D000818:Animals; D002415:Cats / Q000033:anatomy & histology*; D003481:Cuspid / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D005260:Female; D008297:Male; D008334:Mandible / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D008962:Models, Theoretical; D011237:Predictive Value of Tests; D011859:Radiography / Q000662:veterinary