Spherical harmonics to quantify cranial asymmetry in deformational plagiocephaly

Cranial deformation and deformational plagiocephaly (DP) in particular affect an important percentage of infants. The assessment and diagnosis of the deformation are commonly carried by manual measurements that provide low interuser accuracy. Another approach is the use of three-dimensional (3D) models. Nevertheless, in most cases, deformation measurements are carried out manually on the 3D model. It is necessary to develop methodologies for the detection of DP that are automatic, accurate and take profit on the high quantity of information of the 3D models. Spherical harmonics are proposed as a new methodology to identify DP from head 3D models. The ideal fitted ellipsoid for each head is computed and the orthogonal distances between head and ellipsoid are obtained. Finally, the distances are modelled using spherical harmonics. Spherical harmonic coefficients of degree 2 and order − 2 are identified as the correct ones to represent the asymmetry characteristic of DP. The obtained coefficient is compared to other anthropometric deformation indexes, such as Asymmetry Index, Oblique Cranial Length Ratio, Posterior Asymmetry Index and Anterior Asymmetry Index. The coefficient of degree 2 and order − 2 with a maximum degree of 4 is found to provide better results than the commonly computed anthropometric indexes in the detection of DP.

Disparities in Access to Cranial Remodeling Orthosis for Deformational Plagiocephaly

Objective Moderate to severe cases of deformational plagiocephaly (DP) may be treated with cranial remolding orthoses (CRO). This study investigated the socioeconomic disparities in access to care for CRO for DP correction. Design This was a retrospective review of medical records from a single CRO company in Connecticut from 2014 to 2020. Methods Demographic variables were collected from all patients. Univariable logistic regressions were used to identify differences for presenting age at consultation, whether CRO was pursued, and length of CRO treatment by insurance payor and household income quartile. Results Of the 5620 patients identified, 4100 (73.0%) received CRO, with 674 (12.0%) receiving a second helmet. Of those receiving CRO, 1536 (37.5%) had Medicaid insurance while 2558 (62.4%) were commercially insured. Patients on Medicaid were 1.30 times more likely to have delayed presentation ( P = .017), while patients from the lowest income quartile were 1.26 1.50 ( P < .001) and 1.58 ( P < .001) times more likely to have a delayed presentation relative to those in the highest and second-highest income quartiles, respectively. Patients in the highest and second-highest income quartiles were also 1.55 ( P < .001) and 1.45 ( P < .001) more likely, respectively, to receive CRO after consultation than those from the lowest income quartile. Conclusions Lower income and Medicaid-insured patients had delayed presentation for CRO consultation. Those from the lowest income quartile were more likely to never receive CRO than those from wealthier backgrounds. Low socioeconomic status and Medicaid insurance, which can have more restrictive coverage policies for CRO, may result in the delayed treatment of DP.

Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning

Craniofacial anomaly including deformational plagiocephaly as a result of deformities in head and facial bones evolution is a serious health problem in newbies. The impact of such condition on the affected infants is profound from both medical and social viewpoint. Indeed, timely diagnosing through different medical examinations like anthropometric measurements of the skull or even Computer Tomography (CT) image modality followed by a periodical screening and monitoring plays a vital role in treatment phase. In this paper, a classification model for detecting and monitoring deformational plagiocephaly in affected infants is presented. The presented model is based on a deep learning network architecture. The given model achieves high accuracy of 99.01% with other classification parameters. The input to the model are the images captured by commonly used smartphone cameras which waives the requirement to sophisticated medical imaging modalities. The method is deployed into a mobile application which enables the parents/caregivers and non-clinical experts to monitor and report the treatment progress at home.

Comorbidities of deformational plagiocephaly in infancy: a scoping review protocol

IntroductionDeformational plagiocephaly (DP) is one of the most common cranial shape disorders in infancy. It is characterised by unilateral flattening of the skull due to head preference to one side. The literature suggests that DP is associated with comorbidities such as developmental delay, but the nature and prevalence of the comorbid impairments are still unclear and controversial. Therefore, our scoping review (ScR) aims to explore systematically the extent and nature of literature by identifying, mapping and categorising the most relevant comorbidities of DP in children up to the age of 2 years.Methods and analysisThis protocol is based on the framework outlined by Arksey and O’Malley. A systematic search will be conducted to identify relevant full text studies from 1992 to 2021 using the databases of Cochrane, MEDLINE, Google Scholar, EMBASE, PubMed and University of Nicosia EBSCO. Two independent reviewers will screen abstracts and full articles in parallel, using specific inclusion and exclusion criteria. Specifically, this review will consider studies investigating DP and relevant comorbidities in children up to the age of 2 years of life without craniosynostosis, torticollis and any other diagnosed neurodevelopmental deficiency.The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for ScR Checklist will be considered for results’ analysis and reporting. The results will be described in a narrative form in relation to the research question and in the context of the overall study purpose.Ethics and disseminationResearch ethics approval is not required for this ScR since data will be retrieved from publicly available studies. Dissemination activities will include research findings’ submission for publication in a relevant peer-reviewed journal and presentation of the results at relevant conferences.RegistrationOur protocol was registered prospectively with the Open Science Framework (https://osf.io/48am3/).