@article{Moon2024,

title = {Establishing Occlusion for Cleft Lip and Palate Patient},

author = {Stacey H. Moon and Olivia Yue and Mark Vaughan and Heeyeon Suh and Heesoo Oh},

url = {https://scholar.kyobobook.co.kr/article/detail/4050069418395},

year  = {2024},

date = {2024-06-03},

journal = {Journal of the Korean Cleft Lip and Palate Society},

volume = {27},

number = {1},

pages = {6-17},

abstract = {Craniofacial cleft patients commonly present with under-developed maxilla, which may have a profound effect not only on their soft tissue facial appearance but also skeletal discrepancy and dental malocclusion. This case report presents the treatment of a 14-year-old girl with a Class III skeletal and dental malocclusion. Her occlusion is complicated by a maxillary anterior right osseous cleft, retrognathic narrow maxilla with associated anterior and posterior crossbite, dental crowding, retained primary teeth, and several missing permanent teeth including maxillary premolars, both permanent maxillary lateral incisors, and all third molars. Our treatment plan consisted of extractions of the remaining primary teeth, maxillary expansion, protraction of maxilla and substitution of the maxillary left premolar for a lateral incisor tooth. The need for orthognathic surgery was also explained to the patient prior to the start of the treatment. The treatment was successfully completed with fixed appliances, rapid palatal expander (RPE), facemask (FM), maxillary segmental advancement with the fistula closure, and alveolar bone graft and elastics. Septorhinoplasty was completed towards the end of the treatment. Orthodontic treatment was completed in 48 months. The maxillary anterior teeth were aesthetically restored after the orthodontic treatment was completed. The retention consisted of maxillary and mandibular Hawley retainers.},

keywords = {Class III, cleft lip, Dental Crowding, malocclusion, Rapid Palatal Expander (RPE)},

pubstate = {published},

tppubtype = {article}

}

@article{deOliveira2024,

title = {Artificial intelligence as a prediction tool for orthognathic surgery assessment},

author = {Pedro Henrique José de Oliveira and Tengfei Li and Haoyue Li and João Roberto Gonçalves and Ary Santos-Pinto and Luiz Gonzaga Gandini Junior and Lucia Soares Cevidanes and Claudia Toyama and Guilherme Paladini Feltrin and Antonio Augusto Campanha and Melchiades Alves de Oliveira Junior and Jonas Bianchi},

url = {https://doi.org/10.1111/ocr.12805},

doi = {10.1111/ocr.12805},

issn = {1601-6335},

year  = {2024},

date = {2024-04-21},

journal = {Orthodontics & Craniofacial Research},

volume = {27},

issue = {5},

pages = {785-794},

abstract = {Introduction: An ideal orthodontic treatment involves qualitative and quantitative measurements of dental and skeletal components to evaluate patients' discrepancies, such as facial, occlusal, and functional characteristics. Deciding between orthodontics and orthognathic surgery remains challenging, especially in borderline patients. Advances in technology are aiding clinical decisions in orthodontics. The increasing availability of data and the era of big data enable the use of artificial intelligence to guide clinicians' diagnoses. This study aims to test the capacity of different machine learning (ML) models to predict whether orthognathic surgery or orthodontics treatment is required, using soft and hard tissue cephalometric values. Methods: A total of 920 lateral radiographs from patients previously treated with either conventional orthodontics or in combination with orthognathic surgery were used, comprising n = 558 Class II and n = 362 Class III patients, respectively. Thirty-two measures were obtained from each cephalogram at the initial appointment. The subjects were randomly divided into training (n = 552), validation (n = 183), and test (n = 185) datasets, both as an entire sample and divided into Class II and Class III sub-groups. The extracted data were evaluated using 10 machine learning models and by a four-expert panel consisting of orthodontists (n = 2) and surgeons (n = 2). Results: The combined prediction of 10 models showed top-ranked performance in the testing dataset for accuracy, F1-score, and AUC (entire sample: 0.707, 0.706, 0.791; Class II: 0.759, 0.758, 0.824; Class III: 0.822, 0.807, 0.89). Conclusions: The proposed combined 10 ML approach model accurately predicted the need for orthognathic surgery, showing better performance in Class III patients.},

keywords = {artificial intelligence, Class II, Class III, orthodontics, Orthognathic Surgery},

pubstate = {published},

tppubtype = {article}

}

@article{Hwang2017,

title = {Surgery-first approach in correcting skeletal Class III malocclusion with mandibular asymmetry},

author = {Hyeon-Shik Hwang and Min-Hee Oh and Hee-Kyun Oh and Heesoo Oh},

url = {http://162.214.24.32/~crilorg/wp-content/uploads/2018/11/Surgery-first-approach-in-correctingskeletal-CLass-III_AJODO-2017.pdf},

doi = {10.1016/j.ajodo.2014.10.040},

year  = {2017},

date = {2017-08-01},

urldate = {2017-08-01},

journal = {American Journal of Orthodontics and Dentofacial Orthopedics},

volume = {152},

number = {2},

pages = {255-267},

abstract = {This case report describes a surgical orthodontic case that used the recently introduced surgery-first approach to correct a severe skeletal Class III malocclusion. A 19-year-old woman presented with severe mandibular prognathism and facial asymmetry; she had been waiting for growth completion in order to pursue surgical correction. After prediction of the postsurgical tooth movement and surgical simulation, 2-jaw surgery that included maxillary advancement and differential mandibular setback was performed using a surgery-first approach. Immediate facial improvement was achieved and postsurgical orthodontic treatment was efficiently carried out. The total treatment time was 16 months. The patient's facial appearance improved significantly and a stable surgical orthodontic outcome was obtained. (Am J Orthod Dentofacial Orthop 2017;152:255-67) },

keywords = {AAOF, adult, Class III, Cranial base, Discrepency Index, hyperdivergent, mandibular asymmetry, Mandibular fixed retainer, Mandibular remodeling, mapping, open bite, orthodontic, surgery-first},

pubstate = {published},

tppubtype = {article}

}