5 research outputs found

    3D Heart Model for Mapping RF Ablation Sites

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    Electro-Cardiologists routinely insert radiofrequency probes into the heart and conduct targeted ablation procedures to correct irregular heartbeats. Current techniques are very experience and “touch” based, and require the novice cardiologist about 50 procedures to become proficient. There is a need for a functional heart model device that can be used to reduce the amount of procedures on human patients before cardiologist become proficient. Project constraints included limited software availability for segmenting accuracy, available 3D printing technology and materials, and cost to 3D print heart models due to the complex geometry. The team began with a CT scan, ITK SNAP and MIMICS segmenting software, but the heart models appeared inaccurate and were filled with holes after segmenting. The team then downloaded an accurate heart model from an open source site and printed the model in thermoplastic material using a fused deposition modeling 3D printer. Metal nodes were placed throughout the heart model, which act as points the cardiologists can practice navigating the catheter to. Attached to these nodes is a circuit board which uses LEDs to display when the cardiologist correctly touches the desired node. There is not a model currently on the market that would help cardiologists become proficient with RF ablation; therefore this model will increase the safety of human patients during a RF ablation procedure.https://scholarscompass.vcu.edu/capstone/1123/thumbnail.jp

    国际过敏与鼻科学共识声明 : 变应性鼻炎

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/1/ICARPrimaryAuthorCOIForms1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/2/ICARSecondaryAuthorCOIForms.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/3/ICARPrimaryAuthorCOIForms2.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/4/ICARAuthorCOI2017.8.15.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/5/alr22073_c.pd

    国际过敏与鼻科学共识声明 : 变应性鼻炎

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/1/ICARPrimaryAuthorCOIForms1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/2/ICARSecondaryAuthorCOIForms.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/3/ICARPrimaryAuthorCOIForms2.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/4/ICARAuthorCOI2017.8.15.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150599/5/alr22073_c.pd

    International consensus statement on allergy and rhinology:Allergic rhinitis - 2023

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    Background: In the 5 years that have passed since the publication of the 2018 International Consensus Statement on Allergy and Rhinology: Allergic Rhinitis (ICAR-Allergic Rhinitis 2018), the literature has expanded substantially. The ICAR-Allergic Rhinitis 2023 update presents 144 individual topics on allergic rhinitis (AR), expanded by over 40 topics from the 2018 document. Originally presented topics from 2018 have also been reviewed and updated. The executive summary highlights key evidence-based findings and recommendation from the full document. Methods: ICAR-Allergic Rhinitis 2023 employed established evidence-based review with recommendation (EBRR) methodology to individually evaluate each topic. Stepwise iterative peer review and consensus was performed for each topic. The final document was then collated and includes the results of this work. Results: ICAR-Allergic Rhinitis 2023 includes 10 major content areas and 144 individual topics related to AR. For a substantial proportion of topics included, an aggregate grade of evidence is presented, which is determined by collating the levels of evidence for each available study identified in the literature. For topics in which a diagnostic or therapeutic intervention is considered, a recommendation summary is presented, which considers the aggregate grade of evidence, benefit, harm, and cost. Conclusion: The ICAR-Allergic Rhinitis 2023 update provides a comprehensive evaluation of AR and the currently available evidence. It is this evidence that contributes to our current knowledge base and recommendations for patient evaluation and treatment
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