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1.
Anaesth Rep ; 11(2): e12243, 2023.
Article in English | MEDLINE | ID: mdl-37694101
2.
Br J Oral Maxillofac Surg ; 59(2): e65-e71, 2021 02.
Article in English | MEDLINE | ID: mdl-33358011

ABSTRACT

Head and neck cancer patients present unique airway challenges, and oropharyngeal, laryngeal, and hypopharyngeal tumours considerably distort and narrow the anatomy of the airway. We describe the use of 3D augmented reality software combined with 3D printed models to assess the anatomy of difficult airways and to assist in the formulation of the most optimal airway management strategy in such patients. The reported patients had computed tomograms (CT) of the neck prior to their anaesthetic and surgical management. DICOM files of the respective scans were imported to 3D rendering software (OsiriX, Pixmeo). We constructed volume rendered models for initial assessment of the airway then generated serial surface rendered models to create a virtual endoscopic path of the airway to simulate the fibreoptic approach. To further facilitate the study of difficult airways we have subsequently printed 3D models of those that were most difficult using rapid prototyping. Head and neck tumours significantly distort the airway. Thorough study of the relevant anatomy prior to airway management for operating reasons enhances communication between the surgeon and anaesthetist, and aids selection of the most appropriate intubation approach. In conclusion, this paper highlights a useful and novel pre-assessment strategy that allows a virtual, visual, 3-dimensional assessment of the airway anatomy combined with 3D modelling and 3D printing. This enables the airway specialist, anaesthetist, and head and neck surgeon to anticipate any critical steps and adjust the plan accordingly.


Subject(s)
Models, Anatomic , Printing, Three-Dimensional , Endoscopy , Humans , Imaging, Three-Dimensional , Neck , Software
4.
Child Care Health Dev ; 40(2): 283-91, 2014 Mar.
Article in English | MEDLINE | ID: mdl-23363306

ABSTRACT

BACKGROUND: Child poverty rates are compared throughout Europe to monitor how countries are caring for their children. Child poverty reduction measures need to consider the importance of safe living environments for all children. In this study we investigate how European country-level economic disparity and housing conditions relate to one another, and whether they differentially correlate with child injury mortality. METHODS: We used an ecological, cross-sectional study design of 26 European countries of which 20 high-income and 6 upper-middle-income. Compositional characteristics of the home and its surroundings were extracted from the 2006 European Union Income Social Inclusion and Living Conditions Database (n = 203,000). Mortality data of children aged 1-14 years were derived from the World Health Organization Mortality Database. The main outcome measure was age standardized cause-specific injury mortality rates analysed by income inequality and housing and neighbourhood conditions. RESULTS: Nine measures of housing and neighbourhood conditions highly differentiating European households at country level were clustered into three dimensions, labelled respectively housing, neighbourhood and economic household strain. Income inequality significantly and positively correlated with housing strain (r = 0.62, P = 0.001) and household economic strain (r = 0.42, P = 0.009) but not significantly with neighbourhood strain (r = 0.34, P = 0.087). Child injury mortality rates correlated strongly with both country-level income inequality and housing strain, with very small age-specific differences. CONCLUSIONS: In the European context housing, neighbourhood and household economic strains worsened with increasing levels of income inequality. Child injury mortality rates are strongly and positively associated with both income inequality and housing strain, suggesting that housing material conditions could play a role in the association between income inequality and child health.


Subject(s)
Child Welfare , Housing , Income , Poverty Areas , Wounds and Injuries/mortality , Adolescent , Adult , Child , Child, Preschool , Cross-Sectional Studies , Europe/epidemiology , Female , Housing/economics , Housing/standards , Humans , Male , Residence Characteristics , Socioeconomic Factors , White People
5.
Health Visit ; 68(3): 117, 1995 Mar.
Article in English | MEDLINE | ID: mdl-7730082

Subject(s)
Health Status , Housing , Poverty , Humans
10.
Health Visit ; 66(2): 62, 1993 Feb.
Article in English | MEDLINE | ID: mdl-8449752
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