Cranial normality indices in Ugandan infants based on smartphone photogrammetry: key parameters for the study of cranial deformation

[EN] Background Early identification of cranial deformities in infants is essential for timely intervention and preventing long-term complications. In Uganda, particularly in rural areas, access to specialised paediatric healthcare remains limited, making it difficult to diagnose and manage cranial...

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Autores: Muñoz-Domingo, Marta|||0009-0005-7143-9883, Marc ROMEU-FERRAS, Vivas-Consuelo, David|||0000-0003-2945-7525, Lerma, José Luis|||0000-0001-9443-9214
Tipo de recurso: artículo
Fecha de publicación:2026
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:dnet:riunet______::b14d2be544a12efee8b5d8abe077c4c3
Acceso en línea:https://riunet.upv.es/handle/10251/235831
Access Level:acceso abierto
Palabra clave:Cranial morphology
Cranial indices
Infant head shape
Uganda
Paediatric health
Photogrammetry
Cephalic index
CVAI
Frontal angle
Early diagnosis
03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades
10.- Reducir las desigualdades entre países y dentro de ellos
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network_name_str España
repository_id_str
dc.title.none.fl_str_mv Cranial normality indices in Ugandan infants based on smartphone photogrammetry: key parameters for the study of cranial deformation
title Cranial normality indices in Ugandan infants based on smartphone photogrammetry: key parameters for the study of cranial deformation
spellingShingle Cranial normality indices in Ugandan infants based on smartphone photogrammetry: key parameters for the study of cranial deformation
Muñoz-Domingo, Marta|||0009-0005-7143-9883
Cranial morphology
Cranial indices
Infant head shape
Uganda
Paediatric health
Photogrammetry
Cephalic index
CVAI
Frontal angle
Early diagnosis
03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades
10.- Reducir las desigualdades entre países y dentro de ellos
title_short Cranial normality indices in Ugandan infants based on smartphone photogrammetry: key parameters for the study of cranial deformation
title_full Cranial normality indices in Ugandan infants based on smartphone photogrammetry: key parameters for the study of cranial deformation
title_fullStr Cranial normality indices in Ugandan infants based on smartphone photogrammetry: key parameters for the study of cranial deformation
title_full_unstemmed Cranial normality indices in Ugandan infants based on smartphone photogrammetry: key parameters for the study of cranial deformation
title_sort Cranial normality indices in Ugandan infants based on smartphone photogrammetry: key parameters for the study of cranial deformation
dc.creator.none.fl_str_mv Muñoz-Domingo, Marta|||0009-0005-7143-9883
Marc ROMEU-FERRAS
Vivas-Consuelo, David|||0000-0003-2945-7525
Lerma, José Luis|||0000-0001-9443-9214
author Muñoz-Domingo, Marta|||0009-0005-7143-9883
author_facet Muñoz-Domingo, Marta|||0009-0005-7143-9883
Marc ROMEU-FERRAS
Vivas-Consuelo, David|||0000-0003-2945-7525
Lerma, José Luis|||0000-0001-9443-9214
author_role author
author2 Marc ROMEU-FERRAS
Vivas-Consuelo, David|||0000-0003-2945-7525
Lerma, José Luis|||0000-0001-9443-9214
author2_role author
author
author
dc.contributor.none.fl_str_mv Facultad de Administración y Dirección de Empresas
Departamento de Economía y Ciencias Sociales
Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría
Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica
Centro de Investigación de Ingeniería Económica
Escuela Técnica Superior de Ingeniería Informática
INSTITUTO DE SALUD CARLOS III
Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Cranial morphology
Cranial indices
Infant head shape
Uganda
Paediatric health
Photogrammetry
Cephalic index
CVAI
Frontal angle
Early diagnosis
03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades
10.- Reducir las desigualdades entre países y dentro de ellos
topic Cranial morphology
Cranial indices
Infant head shape
Uganda
Paediatric health
Photogrammetry
Cephalic index
CVAI
Frontal angle
Early diagnosis
03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades
10.- Reducir las desigualdades entre países y dentro de ellos
description [EN] Background Early identification of cranial deformities in infants is essential for timely intervention and preventing long-term complications. In Uganda, particularly in rural areas, access to specialised paediatric healthcare remains limited, making it difficult to diagnose and manage cranial abnormalities early. This study takes a unique approach by using the PhotoMeDAS system. This non-invasive technology allows accurate cranial measurements through QR-based imaging to define normative cranial index ranges for Ugandan infants. By analysing key cranial parameters associated with head shape, symmetry, and overall growth patterns, this study aims to establish reference values that can serve as a baseline for clinical assessments. Methods A cross-sectional study was conducted in healthcare centres in Lugazi, Uganda, collecting cranial measurements from 195 infants aged 0¿2 years old. The data was collected using the PhotoMeDAS system, a noninvasive technology that allows accurate cranial measurements through QR-based imaging. The primary cranial variables analysed included Head Circumference (HC), Cephalic Index (CI), Cranial Vault Asymmetry Index (CVAI), Pseudovolume (PV), and Frontal Angle (FA). HC was measured to establish general growth patterns, while the CI provided insights into head shape classification (dolichocephalic, mesocephalic, or brachycephalic). The CVAI assessed cranial symmetry, detecting potential cases of plagiocephaly, while the PV evaluated the proportionality of cranial growth relative to the perimeter. Finally, the FA was considered to assess anterior cranial development and forehead morphology. For the management and optimisation of processes, Microsoft Visio was used to create flow diagrams that facilitated the organisation of the paediatric campaign. SPSS and Excel were employed for statistical analysis, evaluating the relationship between cranial indices and variables such as sex, age, and ethnicity. Normality tests (KolmogorovSmirnov), chi-square tests, and ANOVA were applied to identify distribution patterns and significant variations among subgroups. In addition, Python was used to process cranial images obtained during the paediatric research.
publishDate 2026
dc.date.none.fl_str_mv 2026
2026-02-13
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/235831
url https://riunet.upv.es/handle/10251/235831
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv INSTITUTO DE SALUD CARLOS III INSTITUTO DE SALUD CARLOS III PI22%2F01416 Optimización de tecnología con teléfono móvil e inteligencia artificial para diagnóstico y seguimiento de deformaciones craneofaciales en lactantes
Universitat Politècnica de València https://doi.org/10.13039/501100004233 10301CCD
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv BioMed Central (Springer)
publisher.none.fl_str_mv BioMed Central (Springer)
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Cranial normality indices in Ugandan infants based on smartphone photogrammetry: key parameters for the study of cranial deformationMuñoz-Domingo, Marta|||0009-0005-7143-9883Marc ROMEU-FERRASVivas-Consuelo, David|||0000-0003-2945-7525Lerma, José Luis|||0000-0001-9443-9214Cranial morphologyCranial indicesInfant head shapeUgandaPaediatric healthPhotogrammetryCephalic indexCVAIFrontal angleEarly diagnosis03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades10.- Reducir las desigualdades entre países y dentro de ellos[EN] Background Early identification of cranial deformities in infants is essential for timely intervention and preventing long-term complications. In Uganda, particularly in rural areas, access to specialised paediatric healthcare remains limited, making it difficult to diagnose and manage cranial abnormalities early. This study takes a unique approach by using the PhotoMeDAS system. This non-invasive technology allows accurate cranial measurements through QR-based imaging to define normative cranial index ranges for Ugandan infants. By analysing key cranial parameters associated with head shape, symmetry, and overall growth patterns, this study aims to establish reference values that can serve as a baseline for clinical assessments. Methods A cross-sectional study was conducted in healthcare centres in Lugazi, Uganda, collecting cranial measurements from 195 infants aged 0¿2 years old. The data was collected using the PhotoMeDAS system, a noninvasive technology that allows accurate cranial measurements through QR-based imaging. The primary cranial variables analysed included Head Circumference (HC), Cephalic Index (CI), Cranial Vault Asymmetry Index (CVAI), Pseudovolume (PV), and Frontal Angle (FA). HC was measured to establish general growth patterns, while the CI provided insights into head shape classification (dolichocephalic, mesocephalic, or brachycephalic). The CVAI assessed cranial symmetry, detecting potential cases of plagiocephaly, while the PV evaluated the proportionality of cranial growth relative to the perimeter. Finally, the FA was considered to assess anterior cranial development and forehead morphology. For the management and optimisation of processes, Microsoft Visio was used to create flow diagrams that facilitated the organisation of the paediatric campaign. SPSS and Excel were employed for statistical analysis, evaluating the relationship between cranial indices and variables such as sex, age, and ethnicity. Normality tests (KolmogorovSmirnov), chi-square tests, and ANOVA were applied to identify distribution patterns and significant variations among subgroups. In addition, Python was used to process cranial images obtained during the paediatric research.Instituto de Salud Carlos III has funded this project under project number PI22/01416, with joint financing by the European Union and the invaluable support of the development cooperation grant Programa de Cooperación al Desarrollo (PCD) awarded by the Centro de Cooperación al Desarrollo (CCD), UPV with the economic agreement of Meridies, PCD y Adsideo −(10301CCD).BioMed Central (Springer)Facultad de Administración y Dirección de EmpresasDepartamento de Economía y Ciencias SocialesDepartamento de Ingeniería Cartográfica Geodesia y FotogrametríaEscuela Técnica Superior de Ingeniería Geodésica, Cartográfica y TopográficaCentro de Investigación de Ingeniería EconómicaEscuela Técnica Superior de Ingeniería InformáticaINSTITUTO DE SALUD CARLOS IIIUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20262026-02-13journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/235831reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengINSTITUTO DE SALUD CARLOS III INSTITUTO DE SALUD CARLOS III PI22%2F01416 Optimización de tecnología con teléfono móvil e inteligencia artificial para diagnóstico y seguimiento de deformaciones craneofaciales en lactantesUniversitat Politècnica de València https://doi.org/10.13039/501100004233 10301CCDopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:dnet:riunet______::b14d2be544a12efee8b5d8abe077c4c32026-06-13T07:49:27Z
score 15,811543

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