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The Accuracy of Computer-Assisted Surgical Planning in Predicting Soft Tissue Responses After Le Fort I Osteotomy: Retrospective Analysis.
Senyürek, S Aysima; Ajami, Sara; Ruggiero, Federica; Van de Lande, Lara; Caron, Cornelia J J M; Schievano, Silvia; Dunaway, David J; Padwa, Bonnie; Koudstaal, Maarten J; Borghi, Alessandro.
Afiliación
  • Senyürek SA; UCL Great Ormond Street Institute of Child Health, London, UK.
  • Ajami S; Department of Oral and Maxillofacial Surgery, Erasmus MC, Rotterdam, the Netherlands.
  • Ruggiero F; UCL Great Ormond Street Institute of Child Health, London, UK.
  • Van de Lande L; Craniofacial Unit, Great Ormond Street Hospital, London, UK.
  • Caron CJJM; UCL Great Ormond Street Institute of Child Health, London, UK.
  • Schievano S; DIMES, Alma Mater Studiorum University of Bologna, Bologna, Italy.
  • Dunaway DJ; Department of Oral and Maxillofacial Surgery, Erasmus MC, Rotterdam, the Netherlands.
  • Padwa B; Department of Oral and Maxillofacial Surgery, Erasmus MC, Rotterdam, the Netherlands.
  • Koudstaal MJ; UCL Great Ormond Street Institute of Child Health, London, UK.
  • Borghi A; Craniofacial Unit, Great Ormond Street Hospital, London, UK.
J Craniofac Surg ; 34(1): 131-138, 2023.
Article en En | MEDLINE | ID: mdl-36104836
PURPOSE: Mismatch between preoperative planning and surgical outcome in maxillofacial surgery relate to on-table replication of presurgical planning and predictive algorithm inaccuracy: software error was hereby decoupled from planning inaccuracy to assess a commercial software. The hypothesis was that soft tissue prediction error would be minimized if the surgical procedure was replicated precisely as planned and is independent of the extent of bone repositioning. MATERIALS AND METHODS: Cone-beam computed tomography scans of 16 Le Fort I osteotomy patients were collected at Boston Children's Hospital. Preoperative and postoperative models of bone and soft tissue were constructed and the maxilla repositioning was replicated. Each model was subdivided into 6 regions: mouth, nose, eyes, and cheeks. Soft tissue prediction (performed using Proplan CMF-Materialise) for each patient was compared with the relative postoperative reconstruction and error was determined. P <0.05 was considered significant. RESULTS: Le Fort I segment repositioning was replicated within 0.70±0.18 mm. The highest prediction error was found in the mouth (1.49±0.77 mm) followed by the cheeks (0.98±0.34 mm), nose (0.86±0.23 mm), and eyes (0.76±0.32). Prediction error on cheeks correlated significantly with mouth ( r =0.63, P < 0.01) and nose ( r =0.67, P < 0.01). Mouth prediction error correlated with total advancement ( r =0.52, P =0.04). CONCLUSIONS: ProPlan CMF is a useful outcome prediction tool; however, accuracy decreases with the extent of maxillary advancement even when errors in surgical replication are minimized.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Osteotomía Le Fort / Imagenología Tridimensional Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: J Craniofac Surg Asunto de la revista: ODONTOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Osteotomía Le Fort / Imagenología Tridimensional Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: J Craniofac Surg Asunto de la revista: ODONTOLOGIA Año: 2023 Tipo del documento: Article