Management of sagittal craniosynostosis: morphological comparison of eight surgical techniques

Galiay, Leila; Hennocq, Quentin; Cross, Connor; Arnaud, Éric; Larysz, Dawid; Kölby, Lars; Paternoster, Giovanna; Khonsari, Roman Hossein; Moazen, Mehran

doi:10.1016/j.bjoms.2021.09.017

Cited by 9 publications

(10 citation statements)

References 25 publications

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“…In addition, they suggest that older and more invasive procedures present better results in cranial volume. 10 The metopic suture was the second craniosynostosis presented in our series of patients, which coincides with other studies. This condition has been related to maternal epilepsy, use of valproate, fertility treatment, and prenatal maternal complications such as hypertension or preeclampsia, hemorrhage, and urinary tract infection.…”

Section: Discussionsupporting

confidence: 92%

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Correlation Between Demographic Variables and Complications in Nonsyndromic Craniosynostosis

Martinez¹,

Tellez²,

González

et al. 2022

Journal of Craniofacial Surgery

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Section: Discussionsupporting

confidence: 92%

“…In addition, a study that compared 8 different surgical techniques for sagittal synostosis observed no differences between the variety of techniques in outcomes. In addition, they suggest that older and more invasive procedures present better results in cranial volume 10…”

Section: Discussionmentioning

confidence: 98%

Correlation Between Demographic Variables and Complications in Nonsyndromic Craniosynostosis

Martinez¹,

Tellez²,

González

et al. 2022

Journal of Craniofacial Surgery

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“…The sample of modern humans consisted of 10 individuals of known age, ranging from newborn to adult (defined as such based on the eruption of M3). These are from two different databases: the CT‐scan collection from Necker—Enfants Malades University Hospital in Paris (Galiay et al, 2022 ) and the New Mexico Decedent Image Database (Edgar et al, 2020 , https://nmdid.unm.edu ). The 3D models of Kabwe 1, Gibraltar 1 and Guattari 1 were downloaded from the NESPOS Database (available as a digital archive: https://archiv.neanderthal.de/data/ ).…”

Section: Methodsmentioning

confidence: 99%

Icex: Advances in the automatic extraction and volume calculation of cranial cavities

et al. 2023

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The use of non-destructive approaches for digital acquisition (e.g. computerised tomography-CT) allows detailed qualitative and quantitative study of internal structures of skeletal material. Here, we present a new R-based software tool, Icex, applicable to the study of the sizes and shapes of skeletal cavities and fossae in 3D digital images. Traditional methods of volume extraction involve the manual labelling (i.e. segmentation) of the areas of interest on each section of the image stack. This is time-consuming, error-prone and challenging to apply to complex cavities. Icex facilitates rapid quantification of such structures. We describe and detail its application to the isolation and calculation of volumes of various cranial cavities.The R tool is used here to automatically extract the orbital volumes, the paranasal sinuses, the nasal cavity and the upper oral volumes, based on the coordinates of 18 cranial anatomical points used to define their limits, from 3D cranial surface meshes obtained by segmenting CT scans. Icex includes an algorithm (Icv) for the calculation of volumes by defining a 3D convex hull of the extracted cavity. We demonstrate the use of Icex on an ontogenetic sample (0-19 years) of modern humans and on the fossil hominin crania Kabwe (Broken Hill) 1, Gibraltar (Forbes' Quarry) and Guattari 1. We also test the tool on three species of non-human primates. In the modern human subsample, Icex allowed us to perform a preliminary analysis on the absolute and relative expansion of cranial sinuses and pneumatisations during growth. The performance of Icex, applied to diverse crania, shows the potential for an extensive | 1173

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“…Therefore, the width of osteotomy sizes varied between 10 mm to 20 mm in the simulations. Osteotomy is performed between coronal and lambdoid sutures to insert the springs [ 30 ]. The length of osteotomy in the simulations is defined using the distance from the sutures.…”

Section: Methodsmentioning

confidence: 99%

Automated surgical planning in spring-assisted sagittal craniosynostosis correction using finite element analysis and machine learning

Jacob,

Bozkurt

2023

PLoS ONE

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Sagittal synostosis is a condition caused by the fused sagittal suture and results in a narrowed skull in infants. Spring-assisted cranioplasty is a correction technique used to expand skulls with sagittal craniosynostosis by placing compressed springs on the skull before six months of age. Proposed methods for surgical planning in spring-assisted sagittal craniosynostosis correction provide information only about the skull anatomy or require iterative finite element simulations. Therefore, the selection of surgical parameters such as spring dimensions and osteotomy sizes may remain unclear and spring-assisted cranioplasty may yield sub-optimal surgical results. The aim of this study is to develop the architectural structure of an automated tool to predict post-operative surgical outcomes in sagittal craniosynostosis correction with spring-assisted cranioplasty using machine learning and finite element analyses. Six different machine learning algorithms were tested using a finite element model which simulated a combination of various mechanical and geometric properties of the calvarium, osteotomy sizes, spring characteristics, and spring implantation positions. Also, a statistical shape model representing an average sagittal craniosynostosis calvarium in 5-month-old patients was used to assess the machine learning algorithms. XGBoost algorithm predicted post-operative cephalic index in spring-assisted sagittal craniosynostosis correction with high accuracy. Finite element simulations confirmed the prediction of the XGBoost algorithm. The presented architectural structure can be used to develop a tool to predict the post-operative cephalic index in spring-assisted cranioplasty in patients with sagittal craniosynostosis can be used to automate surgical planning and improve post-operative surgical outcomes in spring-assisted cranioplasty.

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Management of sagittal craniosynostosis: morphological comparison of eight surgical techniques

Cited by 9 publications

References 25 publications

Correlation Between Demographic Variables and Complications in Nonsyndromic Craniosynostosis

Correlation Between Demographic Variables and Complications in Nonsyndromic Craniosynostosis

Icex: Advances in the automatic extraction and volume calculation of cranial cavities

Automated surgical planning in spring-assisted sagittal craniosynostosis correction using finite element analysis and machine learning

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