Int J Med Robot - In vitro simulator with numerical stress analysis for evaluation of stent-assisted coiling embolization in cerebral aneurysm treatments.

Tópicos

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Resumo

CKGROUND: There are several complications associated with Stent-assisted Coil Embolization (SACE) in cerebral aneurysm treatments, due to damaging operations by surgeons and undesirable mechanical properties of stents. Therefore, it is necessary to develop an in vitro simulator that provides both training and research for evaluating the mechanical properties of stents.METHODS: A new in vitro simulator for three-dimensional digital subtraction angiography was constructed, followed by aneurysm models fabricated with new materials. Next, this platform was used to provide training and to conduct photoelastic stress analysis to evaluate the SACE technique.RESULTS: The average interaction stress increasingly varied for the two different stents. Improvements for the Maximum-Likelihood Expectation-Maximization method were developed to reconstruct cross-sections with both thickness and stress information.CONCLUSIONS: The technique presented can improve a surgeon's skills and quantify the performance of stents to improve mechanical design and classification. This method can contribute to three-dimensional stress and volume variation evaluation and assess a surgeon's skills.

Resumo Limpo

ckground sever complic associ stentassist coil embol sace cerebr aneurysm treatment due damag oper surgeon undesir mechan properti stent therefor necessari develop vitro simul provid train research evalu mechan properti stentsmethod new vitro simul threedimension digit subtract angiographi construct follow aneurysm model fabric new materi next platform use provid train conduct photoelast stress analysi evalu sace techniqueresult averag interact stress increas vari two differ stent improv maximumlikelihood expectationmaxim method develop reconstruct crosssect thick stress informationconclus techniqu present can improv surgeon skill quantifi perform stent improv mechan design classif method can contribut threedimension stress volum variat evalu assess surgeon skill

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