Purpose: Sliding genioplasty is used to surgically correct a retruded or misaligned chin: in this procedure, an osteotomy is performed and the bony segment is repositioned. In this study we investigate the effect of surgical parameters (bony segment movement, osteotomy design) on postop soft tissue changes in a patient cohort. Methods: Seven patients were retrospectively recruited. Cone beam computed tomography data were obtained and soft tissue and bone shape reconstructions were performed. 3D models were created and surgical cuts were replicated according to postop scans. Each model was imported in ANSYS 2019R1 (Ansys Inc, USA) for simulation: the effect of variation in osteotomy plane as well as extent of bony segment movement were assessed by means of design of experiment: surgical parameters were varied in a surgically acceptable range and the soft tissue predictions were evaluated as displacement output of five craniometric landmarks. Results: Simulation results show the overall changes of the lower third of the face are sensitive to changes in horizontal and vertical displacement of the bony segment as well as segment rotation. No significant changes in the soft tissue response were to attribute to the osteotomy design. Conclusions: Our results are consistent with experimental findings reported in the literature: when planning genioplasty in orthognathic surgery, particular focus on the segment movement (horizontal translation, vertical translation and rotation), rather than on the design of the osteotomy itself, should be considered.

PARAMETRIZING THE GENIOPLASTY: A BIOMECHANICAL VIRTUAL STUDY ON SOFT TISSUE BEHAVIOUR / Ruggiero F., Badiali G., Bevini M., Marchetti C., Ong J., Bolognesi F., Schievano S., Dunaway D., Bianchi A., Borghi A.. - In: INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY. - ISSN 1861-6410. - ELETTRONICO. - 17:1(2022), pp. 55-64. [10.1007/s11548-021-02489-9]

PARAMETRIZING THE GENIOPLASTY: A BIOMECHANICAL VIRTUAL STUDY ON SOFT TISSUE BEHAVIOUR

Ruggiero F.
Writing – Original Draft Preparation
;
Badiali G.
Conceptualization
;
Bevini M.
Data Curation
;
Marchetti C.
Supervision
;
Ong J.
Formal Analysis
;
Bolognesi F.
Membro del Collaboration Group
;
Bianchi A.
Membro del Collaboration Group
;
2022

Abstract

Purpose: Sliding genioplasty is used to surgically correct a retruded or misaligned chin: in this procedure, an osteotomy is performed and the bony segment is repositioned. In this study we investigate the effect of surgical parameters (bony segment movement, osteotomy design) on postop soft tissue changes in a patient cohort. Methods: Seven patients were retrospectively recruited. Cone beam computed tomography data were obtained and soft tissue and bone shape reconstructions were performed. 3D models were created and surgical cuts were replicated according to postop scans. Each model was imported in ANSYS 2019R1 (Ansys Inc, USA) for simulation: the effect of variation in osteotomy plane as well as extent of bony segment movement were assessed by means of design of experiment: surgical parameters were varied in a surgically acceptable range and the soft tissue predictions were evaluated as displacement output of five craniometric landmarks. Results: Simulation results show the overall changes of the lower third of the face are sensitive to changes in horizontal and vertical displacement of the bony segment as well as segment rotation. No significant changes in the soft tissue response were to attribute to the osteotomy design. Conclusions: Our results are consistent with experimental findings reported in the literature: when planning genioplasty in orthognathic surgery, particular focus on the segment movement (horizontal translation, vertical translation and rotation), rather than on the design of the osteotomy itself, should be considered.
2022
PARAMETRIZING THE GENIOPLASTY: A BIOMECHANICAL VIRTUAL STUDY ON SOFT TISSUE BEHAVIOUR / Ruggiero F., Badiali G., Bevini M., Marchetti C., Ong J., Bolognesi F., Schievano S., Dunaway D., Bianchi A., Borghi A.. - In: INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY. - ISSN 1861-6410. - ELETTRONICO. - 17:1(2022), pp. 55-64. [10.1007/s11548-021-02489-9]
Ruggiero F., Badiali G., Bevini M., Marchetti C., Ong J., Bolognesi F., Schievano S., Dunaway D., Bianchi A., Borghi A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/857559
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