Method of designing and manufacturing craniofacial soft tissue prostheses using Additive Manufacturing: A case study

Miechowicz, S.; Wojnarowska, Wiktoria; Majkut, Slawomir; Trybulec, Jolanta; Pijanka, Dawid; Piecuch, Tomasz; Sochacki, Michał; Kudasik, T.

doi:10.1016/j.bbe.2021.05.008

Cited by 10 publications

(5 citation statements)

References 45 publications

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“…In our study, we propose an alternative approach for designing facial prosthetics by evaluating the use of an SSM to infer the most statistically plausible missing regions based on real facial variation. Nowadays, the prosthetic rehabilitation of unilateral defects is easily approached by employing digital mirroring techniques, [42][43][44][45][46][47][48][49] however, midline and bilateral facial defects still present challenges in computer-aided design. Currently, the predominant approach to these defects involves the use of templates or archetypes.…”

Section: Discussionmentioning

confidence: 99%

A statistical shape model for estimating missing soft tissues of the face in a black South African population

Swanepoel,

Matthews,

Claes

et al. 2023

Journal of Prosthodontics

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PurposeFacial disfigurement may affect the quality of life of many patients. Facial prostheses are often used as an adjuvant to surgical intervention and may sometimes be the only viable treatment option. Traditional methods for designing soft‐tissue facial prostheses are time‐consuming and subjective, while existing digital techniques are based on mirroring of contralateral features of the patient, or the use of existing feature templates/models that may not be readily available. We aim to support the objective and semi‐automated design of facial prostheses with primary application to midline or bilateral defect restoration where no contralateral features are present. Specifically, we developed and validated a statistical shape model (SSM) for estimating the shape of missing facial soft tissue segments, from any intact parts of the face.Materials and MethodsAn SSM of 3D facial variations was built from meshes extracted from computed tomography and cone beam computed tomography images of a black South African sample (n = 235) without facial disfigurement. Various types of facial defects were simulated, and the missing parts were estimated automatically by a weighted fit of each mesh to the SSM. The estimated regions were compared to the original regions using color maps and root‐mean‐square (RMS) distances.ResultsRoot mean square errors (RMSE) for defect estimations of one orbit, partial nose, cheek, and lip were all below 1.71 mm. Errors for the full nose, bi‐orbital defects, as well as small and large composite defects were between 2.10 and 2.58 mm. Statistically significant associations of age and type of defect with RMSE were observed, but not with sex or imaging modality.ConclusionThis method can support the objective and semi‐automated design of facial prostheses, specifically for defects in the midline, crossing the midline or bilateral defects, by facilitating time‐consuming and skill‐dependent aspects of prosthesis design.This article is protected by copyright. All rights reserved

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Section: Discussionmentioning

confidence: 99%

A statistical shape model for estimating missing soft tissues of the face in a black South African population

Swanepoel,

Matthews,

Claes

et al. 2023

Journal of Prosthodontics

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“…Soft tissue prostheses can also be produced through AM technologies, such as the ocular epithesis fabricated by Vat photopolymerization for maxillofacial rehabilitation. With shorter production and consultation times and improved personalized results, AM offers significant advantages over traditional manufacturing techniques in prosthetic devices [8] .…”

Section: Medical Applications Of Am Techniquesmentioning

confidence: 99%

“…This report shows that the development of prototypes and anatomical models are the areas with the most contributions, as shown in Table 1 . Nonetheless, more specific areas such as design and fabrication of prosthesis [7] , [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] , orthosis [16] , [17] , [18] , [19] , bone tissue reconstruction [4] , [20] , [21] , [22] , organ fabrication [23] , [24] , dental applications [25] , [26] , [27] and medical device manufacturing [28] have been considered in this research due to their great potential and development.…”

Section: Introductionmentioning

confidence: 99%

Future trends of additive manufacturing in medical applications: An overview

Amaya-Rivas,

Perero,

Helguero

et al. 2024

Heliyon

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“…The transformation of reasonable AM and biopolymer availability are significant elements for their selection in biomedical applications [196] , [197] , [198] . Biopolymers for the 3D printing should ideally possess good printability, processability, structural stability, and high-shape fidelity, as well as precise and accurate 3D plotting of polymers [199] , [200] , [201] .…”

Section: Additive Manufacturing Techniquesmentioning

confidence: 99%