Aim: To compare landmark vs surface-shape measurements in a sample of patients with cleft lips and palates following secondary alveolar bone grafting.
Methods: The faces of 10 patients (4 males and 6 females) with an unilateral cleft lip and palate were captured using a 3D surface camera system before and 6 weeks after alveolar bone grafting. In each face, six coordinates were registered. The pre- and postoperative images were superimposed on areas that were not affected by the surgery. Using 3D modeling software landmarks, nasal symmetry, and surface-to-surface deviation, analysis was performed. All data were subjected to standard statistical analyses.
Results: Color map surface-to-surface comparison revealed a significant anteroposterior elevation in the nasal region of the cleft side after surgery.
Conclusion: The ala, alar base, and paranasal areas are increased anteroposteriorly after secondary bone grafting. This surgery tends to diminish the asymmetry in nasal morphology typically seen in patients with unilateral cleft lip and palate. Overall, 3D surface-to-surface analysis allows for a better quantification of treatment changes.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640468 | PMC |
Codas
January 2025
Programa de Pós-Graduação em Fonoaudiologia, Universidade Estadual Paulista "Júlio de Mesquita Filho" - UNESP - Marília (SP), Brasil.
Purpose: To investigate whether there is a difference in the classification of speech hypernasality by inexperienced listeners using different ordinal scales; to verify the agreement of the listeners in the analyses when using these scales; and to verify whether the order in which the scales are presented influences the results.
Methods: Twenty Speech-Language Pathology students classified the degrees of hypernasality of 40 (oral) samples from patients with cleft lip and palate. Ten performed the classifications using a 4-point scale (absent, mild, moderate, and severe) and, after two weeks, using a 3-point scale (absent, slightly hypernasal, and very hypernasal).
Codas
January 2025
Universidade Vale do Rio Doce - UNIVALE - Governador Valadares (MG), Brasil.
Purpose: To promote orientation about cleft lip and palate and to verify knowledge and satisfaction of an orientation program through a website developed for students and health professionals.
Methods: This is a cross-sectional study, 13 healthcare professionals and 81 students from the areas of nursing, speech-language pathologist, medicine, nutrition, dentistry, and psychology participated. The research consisted of three stages: filling out a pre-program questionnaire, accessing the website (http://fissuralabiopalatina.
J Craniofac Surg
January 2025
Department of Pediatric Plastic Surgery, Children's Hospital Colorado, Aurora, CO.
Introduction: Single-stage bilateral cleft lip repair may require preoperative naso-alveolar molding (NAM) to decrease cleft widths and reposition the premaxilla. Staged operations may be performed in centers or regions without easy access to NAM. This retrospective study aims to examine the national prevalence of single-stage and staged bilateral cleft lip repairs over the past 23 years.
View Article and Find Full Text PDFRiga-Fede disease (RFD) is a rare, benign condition marked by traumatic ulceration on the tongue's ventral side in infants. It arises from friction between the tongue and lower incisors during sucking, potentially worsening into a keratinized lesion if the cause is not addressed. This report details the case of a 1-year-6-month-old male with hydrocephalus, cleft palate, corpus callosum dysgenesis, neuropsychomotor developmental delay, and tracheostomy and gastrostomy needs.
View Article and Find Full Text PDFSci Rep
January 2025
Division of Plastic, Craniofacial and Hand Surgery, Sidra Medicine, and Weill Cornell Medical College, C1-121, Al Gharrafa St, Ar Rayyan, Doha, Qatar.
Training a machine learning system to evaluate any type of facial deformity is impeded by the scarcity of large datasets of high-quality, ethics board-approved patient images. We have built a deep learning-based cleft lip generator called CleftGAN designed to produce an almost unlimited number of high-fidelity facsimiles of cleft lip facial images with wide variation. A transfer learning protocol testing different versions of StyleGAN as the base model was undertaken.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!