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Endovascular image-guided interventions (EIGIs)

Identifieur interne : 000E81 ( Pmc/Curation ); précédent : 000E80; suivant : 000E82

Endovascular image-guided interventions (EIGIs)

Auteurs : Stephen Rudin ; Daniel R. Bednarek ; Kenneth R. Hoffmann

Source :

RBID : PMC:2669303

Abstract

Minimally invasive interventions are rapidly replacing invasive surgical procedures for the most prevalent human disease conditions. X-ray image-guided interventions carried out using the insertion and navigation of catheters through the vasculature are increasing in number and sophistication. In this article, we offer our vision for the future of this dynamic field of endovascular image-guided interventions in the form of predictions about (1) improvements in high-resolution detectors for more accurate guidance, (2) the implementation of high-resolution region of interest computed tomography for evaluation and planning, (3) the implementation of dose tracking systems to control patient radiation risk, (4) the development of increasingly sophisticated interventional devices, (5) the use of quantitative treatment planning with patient-specific computer fluid dynamic simulations, and (6) the new expanding role of the medical physicist. We discuss how we envision our predictions will come to fruition and result in the universal goal of improved patient care.


Url:
DOI: 10.1118/1.2821702
PubMed: 18293585
PubMed Central: 2669303

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PMC:2669303

Le document en format XML

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<p id="P1">Minimally invasive interventions are rapidly replacing invasive surgical procedures for the most prevalent human disease conditions. X-ray image-guided interventions carried out using the insertion and navigation of catheters through the vasculature are increasing in number and sophistication. In this article, we offer our vision for the future of this dynamic field of endovascular image-guided interventions in the form of predictions about (1) improvements in high-resolution detectors for more accurate guidance, (2) the implementation of high-resolution region of interest computed tomography for evaluation and planning, (3) the implementation of dose tracking systems to control patient radiation risk, (4) the development of increasingly sophisticated interventional devices, (5) the use of quantitative treatment planning with patient-specific computer fluid dynamic simulations, and (6) the new expanding role of the medical physicist. We discuss how we envision our predictions will come to fruition and result in the universal goal of improved patient care.</p>
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<given-names>Daniel R.</given-names>
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<name>
<surname>Hoffmann</surname>
<given-names>Kenneth R.</given-names>
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<aff id="A1">Toshiba Stroke Research Center, University at Buffalo, State University of New York, Biomedical Research Building, Room 445, 3435 Main Street, Buffalo, New York 14214</aff>
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Author to whom correspondence should be addressed. Electronic mail:
<email>srudin@buffalo.edu</email>
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<p>Electronic mail:
<email>bednarek@buffalo.edu</email>
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<p>Electronic mail:
<email>kh9@buffalo.edu</email>
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<issue>1</issue>
<fpage>301</fpage>
<lpage>309</lpage>
<abstract>
<p id="P1">Minimally invasive interventions are rapidly replacing invasive surgical procedures for the most prevalent human disease conditions. X-ray image-guided interventions carried out using the insertion and navigation of catheters through the vasculature are increasing in number and sophistication. In this article, we offer our vision for the future of this dynamic field of endovascular image-guided interventions in the form of predictions about (1) improvements in high-resolution detectors for more accurate guidance, (2) the implementation of high-resolution region of interest computed tomography for evaluation and planning, (3) the implementation of dose tracking systems to control patient radiation risk, (4) the development of increasingly sophisticated interventional devices, (5) the use of quantitative treatment planning with patient-specific computer fluid dynamic simulations, and (6) the new expanding role of the medical physicist. We discuss how we envision our predictions will come to fruition and result in the universal goal of improved patient care.</p>
</abstract>
<kwd-group>
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<contract-num rid="EB1">R01 EB002873-05</contract-num>
<contract-num rid="NS1">K25 NS047242-05</contract-num>
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<contract-sponsor id="HL1">National Heart, Lung, and Blood Institute : NHLBI</contract-sponsor>
<contract-sponsor id="EB1">National Institute of Biomedical Imaging and Bioengineering : NIBIB</contract-sponsor>
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