Publications by authors named "I B Arnadottir"

Introduction: Prevalence of oral health problems among nursing home residents is common, they suffer from oral diseases and need dental service. The aim of this study was to examine clinical oral health of Icelandic nursing home residents and their oral health quality of life.

Material And Methods: Total (N=82) residents in two nursing homes in Reykjavik gave their consent to be involved in this descriptive cross-sectional study.

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Objectives: To assess oral care beliefs and oral hygiene procedures among nursing home personnel to identify strengths and weaknesses in managing oral care.

Methods: A cross-sectional study in two nursing homes using an oral health care questionnaire including the Nursing Dental Coping Belief Scale.

Results: A total of 109 health personnel participated.

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Dental erosive wear (DEW) is common among children and adolescents, and a survey of Icelandic children showed that 30.7% of 15-year-olds were diagnosed with the condition. To gain knowledge about dental practitioners' experiences, opinions, and treatment decisions.

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Objective: The purpose of the present study was to explore intervals between regular dental examination and the time dentists spent for examination and preventive dental care of children in 1996 and 2014.

Participants And Methods: In Denmark, Norway and Sweden, random samples of dentists working with children were included, while in Iceland all dentists were mailed questionnaires. Complete information was provided by 1082 of 1834 dentists (64%) in 1996 and 1366 of 2334 dentists (59%) in 2014.

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This paper illustrates the feasibility and utility of combining cranial anatomy and brain function on the same 3D-printed model, as evidenced by a neurosurgical planning case study of a 29-year-old female patient with a low-grade frontal-lobe glioma. We herein report the rapid prototyping methodology utilized in conjunction with surgical navigation to prepare and plan a complex neurosurgery. The method introduced here combines CT and MRI images with DTI tractography, while using various image segmentation protocols to 3D model the skull base, tumor, and five eloquent fiber tracts.

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