de Macedo Bernardino I, et al. – The aim of this cross–sectional study was to show the applicability of multiple correspondence analysis (MCA) in the detection and representation of underlying structures in large datasets used to examine oral–maxillofacial lesions. Based on the results of the present study, MCA has been demonstrated to be a powerful tool for exploring complex data associated with oral–maxillofacial trauma, confirming whether there is a connection and how variables are related. This multivariate method can also be very helpful in the study of several outcomes in oral and maxillofacial surgery and supporting specialties.