Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable Forces
<italic>Goal:</italic> In this study, we investigated the feasibility of predicting the performance of a specific guidewire in terms of its ability to cover a lesion cap surface and apply force to the lesion for a given patient's vessel anatomy. The aim of this research was to...
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IEEE
2022-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10008037/ |
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| author | Afsoon Nejati-Aghdam M. Ali Tavallaei |
| author_facet | Afsoon Nejati-Aghdam M. Ali Tavallaei |
| author_sort | Afsoon Nejati-Aghdam |
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| description | <italic>Goal:</italic> In this study, we investigated the feasibility of predicting the performance of a specific guidewire in terms of its ability to cover a lesion cap surface and apply force to the lesion for a given patient's vessel anatomy. The aim of this research was to provide information that could be used to plan occlusion crossings and peripheral revascularization procedures preoperatively in a way that reduces the risk of potential intraoperative complications and increases the likelihood of success. <italic>Methods:</italic> We used finite element (FE) analysis to simulate the interaction between the guidewire and a model of a tortuous vessel, and we used this simulation to predict the reachable workspace and deliverable forces of the device for various entry positions and angles. We then validated these predictions through experiments in which we advanced a guidewire through an identical vessel phantom using a robotic manipulator. <italic>Conclusions:</italic> Our findings suggest that it may be possible to predict the performance of a guidewire and forecast the likelihood of success or failure for a given vessel anatomy and lesion morphology, which could enable improved planning and device selection. |
| format | Article |
| id | doaj-art-31096999675b466099da4d4d81fb2537 |
| institution | Kabale University |
| issn | 2644-1276 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-31096999675b466099da4d4d81fb25372025-08-20T03:33:11ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762022-01-01322723410.1109/OJEMB.2022.323377810008037Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable ForcesAfsoon Nejati-Aghdam0https://orcid.org/0000-0001-9818-6496M. Ali Tavallaei1https://orcid.org/0000-0002-8057-8536Medical Devices and Systems Lab, Toronto Metropolitan University, Toronto, ON, CanadaElectrical, Computer, and Biomedical Engineering Department, Toronto Metropolitan University, Toronto, ON, Canada<italic>Goal:</italic> In this study, we investigated the feasibility of predicting the performance of a specific guidewire in terms of its ability to cover a lesion cap surface and apply force to the lesion for a given patient's vessel anatomy. The aim of this research was to provide information that could be used to plan occlusion crossings and peripheral revascularization procedures preoperatively in a way that reduces the risk of potential intraoperative complications and increases the likelihood of success. <italic>Methods:</italic> We used finite element (FE) analysis to simulate the interaction between the guidewire and a model of a tortuous vessel, and we used this simulation to predict the reachable workspace and deliverable forces of the device for various entry positions and angles. We then validated these predictions through experiments in which we advanced a guidewire through an identical vessel phantom using a robotic manipulator. <italic>Conclusions:</italic> Our findings suggest that it may be possible to predict the performance of a guidewire and forecast the likelihood of success or failure for a given vessel anatomy and lesion morphology, which could enable improved planning and device selection.https://ieeexplore.ieee.org/document/10008037/Endovascular revascularizationguide-wirearterial occlusiondevice performanceprocedure planning |
| spellingShingle | Afsoon Nejati-Aghdam M. Ali Tavallaei Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable Forces IEEE Open Journal of Engineering in Medicine and Biology Endovascular revascularization guide-wire arterial occlusion device performance procedure planning |
| title | Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable Forces |
| title_full | Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable Forces |
| title_fullStr | Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable Forces |
| title_full_unstemmed | Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable Forces |
| title_short | Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable Forces |
| title_sort | modeling and prediction of a guidewire s reachable workspace and deliverable forces |
| topic | Endovascular revascularization guide-wire arterial occlusion device performance procedure planning |
| url | https://ieeexplore.ieee.org/document/10008037/ |
| work_keys_str_mv | AT afsoonnejatiaghdam modelingandpredictionofaguidewiresreachableworkspaceanddeliverableforces AT malitavallaei modelingandpredictionofaguidewiresreachableworkspaceanddeliverableforces |