Enhancing the diagnosis of maxillary transverse discrepancy through 3-D technology and surface-to-surface superimposition. Description of the digital workflow with a documented case report

التفاصيل البيبلوغرافية
العنوان: Enhancing the diagnosis of maxillary transverse discrepancy through 3-D technology and surface-to-surface superimposition. Description of the digital workflow with a documented case report
المؤلفون: Lo Giudice, A, Nucera, R, Ronsivalle, V, Di Grazia, C, Rugeri, M, Quinzi, V
سنة النشر: 2020
مصطلحات موضوعية: Palatal Expansion Technique, Surface-to-surface superimposition, Maxilla, Humans, Female, Digital work-flow, Maxillary transverse discrepancy, 3-D technology, Child, Workflow, Malocclusion
الوصف: Maxillary transverse discrepancy is often diagnosed in childhood. The evaluation of morphological characteristics of the maxilla is crucial for appropriate treatment of this condition, however conventional diagnostic method is based on visual inspection and transversal linear parameters. In this paper, we described a user-friendly diagnostic digital workflow based on the surface-to-surface analysis. We also described a case report.A 6-year-old female patient presenting mild transversal maxillary deficiency associated with functional posterior crossbite was treated by using maxillary removable appliance. In this respect, the appliance was designed in accordance to the morphological characteristics of the maxilla obtained by using the diagnostic digital work-flow and the maxillary surface-to-surface analysis.The present user-friendly diagnostic digital workflow based on surface-to-surface analysis helps clinicians to detect specific morphological characteristics of the maxilla, such as shape and area of asymmetry, in order to reach a comprehensive diagnosis and choose the correct biomechanics for treating the condition.
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::fa960630022a952e8fc476d28769d50f
https://hdl.handle.net/11697/196949
Rights: CLOSED
رقم الانضمام: edsair.pmid.dedup....fa960630022a952e8fc476d28769d50f
قاعدة البيانات: OpenAIRE