Objective: To examine the level of agreement between the conventional method and a machine-learning approach to facial midline determination and asymmetry assessment. Settings and Sample Population:The study included a total of 90 samples (53 females; 37 males) with different levels of mandibular asymmetry. Materials and Methods:Two researchers placed predefined soft tissue landmarks individually on selected facial frontal photographs and created 10 reference lines. The midsagittal line was determined as perpendicular to the midpoint of the bipupillary line, and the same two reference lines and facial landmarks were automatically determined by the software using machine-learning algorithms, and researchers created the other 8 reference lines using the facial landmarks that were determined automatically by the software. In the following stage, 2 linear and 10 angular measurements were made by a single researcher on 270 photographs, and the consistency and differences between the measurements were evaluated with a one-sample t test, an intraclass correlation coefficient (ICC) and Bland-Altman Plots. Results:The level of agreement of measurements between the researchers and the software was low for eight parameters (ICC˂0.70). The one-sample t test revealed that differences between the software and researcher measurements of lip canting and pronasale deviation were not statistically significantly different (P > .05). Aside from the body inclination difference in Group 3 (samples with a mandibular body inclination difference >6°), there was no clinically significant difference (˂3°) between the measurements of the two methods.Conclusions: Machine-learning algorithms have the potential for clinical use in asymmetry assessment and midline determination and can help clinicians in a manual approach.
Objective: The purpose of this study is to investigate the apparent trends in cleft lip and palate (CLP) studies published over the last 10 years, and assesses the effectiveness of the studies. Materials and Methods: The SCImago Journal Rank (SJR) data were utilized to select the journals with a high SJR indicator in each of the orthodontics, pedodontics, general dentistry, speech therapy, clinical genetics, pediatrics, plastic esthetic and reconstructive surgery and oral surgery areas. CLP-related studies were identified in the databases accessed through Web of Science owned by Clarivate Analytics. The articles were assessed in terms of year of publication, journal title, specialty, article subject matter, affiliations of the authors, citation relationships and countries/regions of origin. A total of 2,696 CLP-related articles published over the last 10 years were identified based on our search criteria. Results: The analysis revealed that the most prominent keywords were “palatoplasty”, “alveolar bone grafting”, “distraction osteogenesis” and “orthognathic surgery” among the treatment procedures. The most common WoS categories among the articles were dentistry, oral surgery & medicine, and surgery. The most cited publications over the last decade have included such terms as “environmental risk factor”, “GRHL3”, “FGFR2”, “loci”, “candidate gene” and “BMP”. Conclusion: Recent CLP articles in the literature have focused mainly on treatment procedures, with the most-cited articles generally containing evaluations of the relationship between CLP and genetics. More recent methods have been discussed in only a limited number of studies.
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