Rapid Maxillary Expansion on the Adolescent Patient: Systematic Review and Case Report.
Alessio Danilo InchingoloIrene FerraraFabio ViapianoAnna NettiMerigrazia CampanelliSilvio BuongiornoGiulia LatiniVincenzo CarpentiereAnna Maria CiociaSabino CeciAssunta PatanoFabio PirasFilippo CardarelliDamiano NemoreGiuseppina MalcangiAngela Di NoiaAntonio ManciniAngelo Michele InchingoloGrazia MarinelliBiagio RaponeIoana Roxana BordeaAntonio ScaranoFelice LorussoDaniela Di VenereInchingolo FrancescoGianna DipalmaPublished in: Children (Basel, Switzerland) (2022)
Aim: In the literature, many studies and articles are investigating new devices and approaches to achieve rapid palate expansion through the opening of the palatal suture, and evaluating the skeletal, dental, and soft tissue effects. The purpose of this review was to assess how palatal expansion is performed in adolescent patients with permanent dentition. Furthermore, it was reported as an example of successful orthodontic treatment of an 11-year-old female patient affected by maxillary skeletal transverse deficiency, in permanent dentition. Methods: A search of the literature was conducted on PubMed, Cochrane, Scopus, Embase, and Web of Science databases. Inclusion criteria were the year of publication between 2017 and 2022, patients aged 10 to 16 years in permanent dentition, with transversal discrepancy, treated with tooth-borne, bone-borne, hybrid palatal expanders. Results: A total of 619 articles were identified by the electronic search, and finally, a total of 16 papers were included in the qualitative analysis. Conclusions: From this study, it was assessed that MARPE is more predictable, and it determines a more significant expansion of the suture than the Hyrax expander, with fewer side effects.
Keyphrases
- systematic review
- case report
- soft tissue
- young adults
- end stage renal disease
- newly diagnosed
- mental health
- ejection fraction
- chronic kidney disease
- meta analyses
- public health
- bone mineral density
- cone beam computed tomography
- machine learning
- body composition
- deep learning
- quantum dots
- patient reported
- sensitive detection
- data analysis
- bone loss