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Robotic vascular surgery, 150 cases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F10%3A7447" target="_blank" >RIV/00216208:11110/10:7447 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Robotic vascular surgery, 150 cases

  • Original language description

    BACKGROUND: Based on their experience of 150 robot-assisted vascular reconstructions, the authors not only reflect on the current uses of the da Vinci robotic system in vascular surgery, but also discuss options for the further expansion of this cutting-edge technology in their area of expertise. METHODS: During the period November 2005-September 2009, the authors performed 150 robot-assisted vascular reconstructions in the aortoiliac area. The most significant include aortofemoral reconstructions and surgery on aneurysms of the abdominal aorta, the pelvic arteries and the splenic artery, as well as their first attempts to perform hybrid interventions. RESULTS: Four cases (2.7%) required conversion to standard surgery and four patients (2.7%) experienced more serious postoperative complications. On one occasion (0.7%) the robotic equipment broke down during the operation and surgery had to be completed laparoscopically.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FA - Cardiovascular diseases including cardio-surgery

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Medical Robotics and Computer Assisted Surgery

  • ISSN

    1478-5951

  • e-ISSN

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    5

  • Pages from-to

  • UT code for WoS article

    000285223000004

  • EID of the result in the Scopus database