On the Assets of CAD Planning for Craniosynostosis Surgery

Mommaerts, Maurice Y.; Jans, Geert; Sloten, Jos Vander; Staels, Patrick F. J.; Perre, Georges Van der; Gobin, Robert

doi:10.1097/00001665-200111000-00008

Cited by 41 publications

(22 citation statements)

References 7 publications

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“…These data are part of a data set used to study the construction of accurate target data for surgical correction of craniofacial anomalies. 6,16,38,39 All CT scans were screened for any pathology influencing the cranial bone, and if present, CT scans were excluded for further analysis. Because most CT scans were performed for minor head trauma workup, only a few presented with pathology influencing the cranial bone (such as tumor or hydrocephalus).…”

Section: Methods Ct Data Collectionmentioning

confidence: 99%

Creating a normative database of age-specific 3D geometrical data, bone density, and bone thickness of the developing skull: a pilot study

Delye

Clijmans

Mommaerts

et al. 2015

PED

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laboratory investigation J neurosurg Pediatr 16:687-702, 2015 F inite element models (FEMs) of the human head are widely used for studying the biomechanics of traumatic brain injury. 12 FEMs of the human head are virtual computer models representing a human head in great anatomical detail. These models try to offer a better understanding of brain injury tolerance by simulating stress and strain patterns in the skull and brain tissue after impact, mimicking the occurrence of traumatic brain injury as realistically as currently possible. These models try to accurately predict the circumstances that cause traumatic brain injury. To do this, an FEM needs material properties of the brain tissue and skull to correlate a particular applied inertial and contact load to resulting intracranial strains and stresses. Therefore, a correct anatomical representation and use of correct material properties of a child's skull and each intracranial tissue are necessary to develop an FEM of a child's head, capable of realistically simulating the response upon impact. Only such an obJect Finite element models (FEMs) of the head are used to study the biomechanics of traumatic brain injury and depend heavily on the use of accurate material properties and head geometry. Any FEM aimed at investigating traumatic head injury in children should therefore use age-specific dimensions of the head, as well as age-specific material properties of the different tissues. In this study, the authors built a database of age-corrected skull geometry, skull thickness, and bone density of the developing skull to aid in the development of an age-specific FEM of a child's head. Such a database, containing age-corrected normative skull geometry data, can also be used for preoperative surgical planning and postoperative long-term follow-up of craniosynostosis surgery results. methods Computed tomography data were processed for 187 patients (age range 0-20 years old). A 3D surface model was calculated from segmented skull surfaces. Skull models, reference points, and sutures were processed into a MATLAB-supported database. This process included automatic calculation of 2D measurements as well as 3D measurements: length of the coronal suture, length of the lambdoid suture, and the 3D anterior-posterior length, defined as the sum of the metopic and sagittal suture. Skull thickness and skull bone density calculations were included. results Cephalic length, cephalic width, intercoronal distance, lateral orbital distance, intertemporal distance, and 3D measurements were obtained, confirming the well-established general growth pattern of the skull. Skull thickness increases rapidly in the first year of life, slowing down during the second year of life, while skull density increases with a fast but steady pace during the first 3 years of life. Both skull thickness and density continue to increase up to adulthood. conclusions This is the first report of normative data on 2D and 3D measurements, skull bone thickness, and skull bone density for children aged 0-20 y...

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Section: Methods Ct Data Collectionmentioning

confidence: 99%

Creating a normative database of age-specific 3D geometrical data, bone density, and bone thickness of the developing skull: a pilot study

Delye

Clijmans

Mommaerts

et al. 2015

PED

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“…Preliminary results of the application of a databank- 11,19 have since been confirmed by other authors, proposing fragmentary 3D shape models [2][3][4]7,[13][14][15]17 with a majority focusing on the fronto-orbital band as the key region of reshaping. To date, only Burge et al 2,17 have incorporated our approach of the intraoperative use of a customized databank-derived statistical model.…”

Section: Discussionmentioning

confidence: 78%

Frame-based cranial reconstruction

Hochfeld

Lamecker

Thomale

et al. 2014

PED

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The authors report on the first experiences with the prototype of a surgical tool for cranial remodeling. The device enables the surgeon to transfer statistical information, represented in a model, into the disfigured bone. The model is derived from a currently evolving databank of normal head shapes. Ultimately, the databank will provide a set of standard models covering the statistical range of normal head shapes, thus providing the required template for any standard remodeling procedure as well as customized models for intended overcorrection. To date, this technique has been used in the surgical treatment of 14 infants (age range 6–12 months) with craniosynostosis. In all 14 cases, the designated esthetic result, embodied by the selected model, has been achieved, without morbidity or mortality. Frame-based reconstruction provides the required tools to precisely realize the surgical reproduction of the model shape. It enables the establishment of a self-referring system, feeding back postoperative growth patterns, recorded by 3D follow-up, into the model design.

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“…The present study focused on the FE models of craniosynostosis; however, there are a number of studies that have used computer-aided design and 3D printing to visualize different reconstructions of craniosynostosis for preoperative planning of this condition [e.g., Imai et al, 1999;Mommaerts et al, 2001;Meehan et al, 2003;Iyer et al, 2018]. These studies are clearly advancing the treatment of craniosynostosis, and models generated from these studies can be used to develop FE simulations of the skull growth to predict the outcomes of different reconstructions on a virtual platform.…”

Section: Discussionmentioning

confidence: 99%

An Overview of Modelling Craniosynostosis Using the Finite Element Method

2018

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Craniosynostosis is a medical condition caused by the early fusion of the cranial joint. The finite element method (FEM) is a computational technique that can answer a variety of “what if” questions in relation to the biomechanics of this condition. The aim of this study was to review the current literature that has used FEM to investigate the biomechanics of any aspect of craniosynostosis, being its development or its reconstruction. This review highlights that a relatively small number of studies (n = 10) has used FEM to investigate the biomechanics of craniosynostosis. Current studies set a good foundation for the future to take advantage of this method and optimize reconstruction of various forms of craniosynostosis.

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On the Assets of CAD Planning for Craniosynostosis Surgery

Cited by 41 publications

References 7 publications

Creating a normative database of age-specific 3D geometrical data, bone density, and bone thickness of the developing skull: a pilot study

Creating a normative database of age-specific 3D geometrical data, bone density, and bone thickness of the developing skull: a pilot study

Frame-based cranial reconstruction

An Overview of Modelling Craniosynostosis Using the Finite Element Method

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