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Browsing by Author "Carvalho, Vasco"

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  • Clinical outcome of inter-proximal papilla between a tooth and a single implant treated with CAD/CAM abutments: a cross-sectional study
    Publication . Borges, Tiago; Lima, Tiago; Carvalho, Ágata; Carvalho, Vasco
    Objectives: The aim of this study was to assess the clinical outcomes achieved with Computer-Assisted Design/Computer-Assisted Manufacturing implant abutments in the anterior maxilla. Material and Methods: Nineteen patients with a mean age of 41 (range form 26 to 63) years, treated with 21 single tooth implants and 21 Computer-Assisted Design/Computer-Assisted Manufacturing (CAD/CAM) abutments in the anterior maxillary region were included in this study. The patients followed 4 criteria of inclusion: (1) had a single-tooth implant in the anterior maxilla, (2) had a CAD/CAM abutment, (3) had a contralateral natural tooth, (4) the implant was restored and in function for at least 6 months up to 2 years. Cases without contact point were excluded. Presence/absence of the interproximal papilla, inter tooth-implant distance (ITD) and distance from the base of the contact point to dental crest bone of adjacent tooth (CPB) were accessed. Results: Forty interproximal spaces were evaluated, with an average mesial CPB of 5.65 (SD 1.65) mm and distal CPB of 4.65 (SD 1.98) mm. An average mesial ITD of 2.49 (SD 0.69) mm and an average distal ITD of 1.89 (SD 0.63) mm were achieved. Papilla was present in all the interproximal spaces accessed. Conclusions: The restoration of dental implants using CAD/CAM abutments is a predictable treatment with improved aesthetic results. These type of abutments seem to help maintaining a regular papillary filling although the variations of the implant positioning or the restoration teeth relation.
    2012-10Journal article Open access Show more
  • Online data mining services for dynamic spatial databases I: system architecture and client applications
    Publication . Costa, Manuel; Sousa, Inês; Fonseca, Alexandra; Henriques, Diana; Rosa, Paulo; Franco, Ivan; Capeta, Nuno; Teixeira, Luis Miguel Lopes; Cardoso, Jorge C. S.; Carvalho, Vasco
    This paper describes online data mining services for dynamic spatial databases connected to environmental monitoring networks. These services can use Artificial Neural Networks as data mining techniques to find temporal relations in monitored parameters. The execution of the data mining algorithms is performed at the server side and a distributed processing scheme is used to overcome problems of scalability. To support the discovery of temporal relations, two other families of online services are made available: vectorial and raster visualization services and a sonification service. The use of this system is illustrated by the DM Plus client application and the SNIRH Data Mining Web site. The sonification service is described and illustrated in the part II paper.
    2005-05Conference object Open access Show more