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Endovascular Perforation Model for Subarachnoid Hemorrhage Combined with Magnetic Resonance Imaging (MRI)
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Endovascular Perforation Model for Subarachnoid Hemorrhage Combined with Magnetic Resonance Imaging (MRI)

Published on: December 16, 2021

[Coronary arterial perforation during endovascular intervention]

N M Danilov, T T Gorgadze, A P Savchenko

    Vestnik Rentgenologii I Radiologii
    |November 27, 2007
    PubMed

    Insights

    Timely detection and treatment of coronary arterial perforation, a serious complication during endovascular interventions, are crucial. This paper outlines causes, classification, and an algorithm for managing these events, illustrated by a clinical case.

    Area of Science:

    • Interventional Cardiology
    • Vascular Surgery
    • Medical Complications

    Background:

    • Endovascular interventions carry risks, including coronary arterial perforation.
    • Prompt identification and management of this complication are vital for patient outcomes.

    Purpose of the Study:

    • To detail the causes, classification, and management strategies for coronary arterial perforation during endovascular procedures.
    • To provide a practical algorithm for addressing this complication.
    • To illustrate the clinical application through a case study.

    Main Methods:

    • Review of existing literature on coronary arterial perforation.
    • Development of a classification system for perforation severity.
    • Formulation of a step-by-step management algorithm.
    • Presentation of a detailed clinical case example.

    Main Results:

    • Identified common causes and predisposing factors for coronary arterial perforation.
    • Proposed a classification system to guide treatment decisions.
    • Demonstrated the efficacy of the outlined algorithm in a clinical scenario.
    • Highlighted the importance of early detection and intervention.

    Conclusions:

    • Coronary arterial perforation is a significant but manageable complication.
    • A structured approach involving timely detection, accurate classification, and algorithmic management improves outcomes.
    • Clinical vigilance and adherence to established protocols are essential for successful intervention.

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