{
  "abstract": "Background Accurate device sizing is crucial for successful flow diverter (FD) therapy in intracranial aneurysms. This study assesses the accuracy and clinical utility of the Ankyras virtual simulation software (Mentice AB, Gothenburg, Sweden) in predicting FD length across multiple device types and manufacturers.Methods We retrospectively analyzed 193 FDs (7 device types) deployed in 180 patients with 230 intracranial aneurysms. Simulation-based prediction of effective lengths (simulated length (SL)) and nominal manufacturer specifications (labeled length) were compared with measured in vivo lengths (measured length (ML)). Performance was evaluated using simulation accuracy (SA), absolute error (AE), relative error (RE), length ratio, and correlation analysis.Results Virtual simulation demonstrated good clinical usability, achieving a mean absolute deviation of only −1.38 mm at the proximal landing zone compared with ML. Simulation-based predictions showed significantly superior accuracy compared with nominal manufacturer specifications (SA 89.6±11.3% vs 81.8±13.7%, P<0.001), with mean AE reduced by 58% (−1.38 mm vs −3.34 mm) and mean RE by 42% (10.5% vs 18.2%). Strong correlations between SL and ML (r=0.900) validated predictive reliability across all tested device types. Centerline correction technology further enhanced parameters such as SA to 94.8±9.5%.Conclusion Virtual simulation-based prediction of effective FD length using the Ankyras software showed reliable and clinically meaningful results, enabling accurate estimations of the proximal landing zone and overall length. Ankyras, along with comparable simulation platforms, may provide considerable potential to facilitate FD selection and implementation, especially in anatomically complex cases.",
  "authors": [
    {
      "affiliations": [
        "Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Maximilian Rothe"
    },
    {
      "affiliations": [
        "Department of Neuroradiology, Ludwig Maximilian University of Munich, Munich, Germany"
      ],
      "name": "Thomas Liebig"
    },
    {
      "affiliations": [
        "Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Martin Renz"
    },
    {
      "affiliations": [
        "Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Maria Teresa Berndt-Mück"
    },
    {
      "affiliations": [
        "Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Dennis M Hedderich"
    },
    {
      "affiliations": [
        "Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Dominik Sepp"
    },
    {
      "affiliations": [
        "Department of Neurosurgery, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Bernhard Meyer"
    },
    {
      "affiliations": [
        "Department of Neurosurgery, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Chiara Negwer"
    },
    {
      "affiliations": [
        "Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Jannis Bodden"
    },
    {
      "affiliations": [
        "Department of Neurology, Ludwig Maximilian University of Munich, Munich, Germany"
      ],
      "name": "Florian Schoeberl"
    },
    {
      "affiliations": [
        "Department of Neuroradiology, Ludwig Maximilian University of Munich, Munich, Germany"
      ],
      "name": "Johannes Rueckel"
    },
    {
      "affiliations": [
        "Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Jan S Kirschke"
    },
    {
      "affiliations": [
        "Department of Neurology, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Silke Wunderlich"
    },
    {
      "affiliations": [
        "Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Tobias Boeckh-Behrens"
    },
    {
      "affiliations": [
        "Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany"
      ],
      "name": "Christian Maegerlein"
    }
  ],
  "title": "Virtual simulation accurately predicts in vivo flow diverter length for intracranial aneurysm treatment: a multicenter validation study",
  "uid": "71224a43-b0c6-599d-ad11-29ae4bc28752"
}