RESUMO
Recent years have brought rapid developments in computational image analysis in musculo-skeletal radiology. Meanwhile the algorithms have reached a maturity that makes initial clinical use feasible. Applications range from joint space measurement to erosion quantification, and from fracture detection to the assessment of alignment angles. Current results of computational image analysis in radiography are very promising, but some fundamental issues remain to be clarified, among which the definition of the optimal trade off between automatization and operator-dependency, the integration of these tools into clinical work flow and last not least the proof of incremental clinical benefit of these methods.
Assuntos
Artrografia/tendências , Osso e Ossos/diagnóstico por imagem , Músculo Esquelético/diagnóstico por imagem , Intensificação de Imagem Radiográfica/métodos , Intensificação de Imagem Radiográfica/tendências , Interpretação de Imagem Radiográfica Assistida por Computador/métodos , HumanosRESUMO
Driven by the increasing implementation of electronical picture archiving and communications system (PACS) into every days practice a fully operative Java application software was developed to support the efficacy of the scoring process in rheumatoid arthritis. This software, namely the "Rheuma-Coach" offers the possibility to use the Larsen- or the Ratingen-Score. We measured time savings of approximately 20% per case if this computer assistance was used. The lack of a standard for the positioning of limbs was confirmed.
