Use of a Three-Dimensional, Normative Database of Pediatric Craniofacial Morphology for Modern Anthropometric Analysis

Marcus, Jeffrey R.; Domeshek, Leahthan F.; Loyd, Andre Matthew; Schoenleber, John M.; Das, Rajesh R.; Nightingale, Roger W.; Mukundan, Srinivasan

doi:10.1097/prs.0b013e3181bf7e1b

Cited by 65 publications

(72 citation statements)

References 18 publications

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“…However, in contrast to the data reported by Saber et al, 48 or Marcus et al, 34,35 our database also provides the opportunity to perform long-term evaluation of the performed surgery, based on sound 3D measurements up to the age of 20 years. Our database allows for thorough evaluation of the surgical result in a specific patient over time, by providing age-specific normative data and allowing for a comparison with what is considered "normal."…”

Section: Two-dimensional and 3d Measurementsmentioning

confidence: 59%

“…34 In their subsequent report, Marcus et al demonstrated this technique but limited the presentation of their normative data to essentially 2D measurements: cephalic width, cephalic length, and the calculated cephalic index. 35 It would be very interesting to compare any explicit 3D measurements derived from their database with the data presented in this study.…”

Section: Two-dimensional and 3d Measurementsmentioning

confidence: 99%

“…Marcus et al also acknowledge the fact that a 3D structure will be better described if some kind of 3D measurements are used instead of purely 2D measurements. 34,35 In a recent report they presented a semiautomated CT-based application for 3D characterization of skull morphology, using 3D vector analysis. 34 Using a set of vectors emanating at prescribed angles from a single fixed point (the tuberculum sellae), they found that 3D vector analysis provides a finite, comprehensive data set of defined cranial surface points, represented as a point 9 13 7 3 10 14 4 6 10 15 5 2 7 16 7 5 12 17 1 5 6 18 3 7 10 19 7 3 10 20 1 2 3 table 6 cloud.…”

Section: Two-dimensional and 3d Measurementsmentioning

confidence: 99%

“…24,36 It will also facilitate objective postoperative long-term follow-up of craniosynostosis surgery results, allowing for comparison with age-specific normative 3D geometrical data. 35,50 …”

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confidence: 99%

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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: Two-dimensional and 3d Measurementsmentioning

confidence: 59%

Section: Two-dimensional and 3d Measurementsmentioning

confidence: 99%

Section: Two-dimensional and 3d Measurementsmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

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

View full text Add to dashboard Cite

show abstract

“…With the advent of 3D surface scanners and increased computing power it is now possible to capture and process spatially dense facial surfaces, but reported rigid surface registrations departed from conventional facial anthropometrics by not maintaining anatomical relationships during the comparative analysis 9,[11][12][13]24,25 . This severely limits its use and fails to inform the clinician of what must be achieved for a good clinical outcome.…”

Section: Discussionmentioning

confidence: 99%