A novel technique for computer-assisted dental autotransplantation: A case report with 42 months of follow-up

Dental autotransplantation (DAT) is an effective technique for replacing missing teeth. This case report presents a novel computer-assisted approach using cone-beam computed tomography (CBCT) for 3D planning. A 15-year-old female with a hopeless molar due to failed endodontic treatment underwent DAT...

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Detalles Bibliográficos
Autores: Chegeni, Ehsan, Marques, José, Barbosa de Figueiredo, Rui Pedro, Valmaseda Castellón, Eduardo, Kadkhodazadeh, Mahdi
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/224882
Acceso en línea:https://hdl.handle.net/2445/224882
Access Level:acceso abierto
Palabra clave:Autotrasplantament
Implants dentals
Queixal del seny
Autotransplantation
Dental implants
Wisdom tooth
Descripción
Sumario:Dental autotransplantation (DAT) is an effective technique for replacing missing teeth. This case report presents a novel computer-assisted approach using cone-beam computed tomography (CBCT) for 3D planning. A 15-year-old female with a hopeless molar due to failed endodontic treatment underwent DAT. Following 3D planning, the donor tooth was surgically extracted and transplanted into the prepared socket, followed by semi-rigid splinting. A meticulous 42-month clinical and radiographic follow-up demonstrated the success and stability of the procedure. This innovative method emphasizes the role of advanced computer technology and 3D imaging in enhancing surgical precision and treatment outcomes. Within the limitations of this case report, DAT, combined with computer-assisted planning, proved a reliable and predictable treatment option for replacing hopeless teeth, particularly in young patients. This approach showed the potential of DAT to transform tooth replacement strategies with better accuracy and decision-making.