O20 Interim results from prospective post-market clinical impact trial of presize software simulation in informing flow diverting stent deployment in aneurysm treatment
<h3>Introduction</h3> Preoperative simulation of flow-diverting stent (FD) deployment in aneurysm treatment could improve procedural accuracy and efficiency compared with standard planning. <h3>Aim of Study</h3> Present interim results (first 50 patients) for first-of-its-kind, multi-centre prospective trial collecting real-world evidence on impact of CE-marked PreSize Neurovascular simulation software (Oxford Heartbeat) on clinical decision-making for FD deployment. <h3>Methods</h3> The interventional neuroradiologist (INR) firstly plans each case, deciding device/size to use without PreSize (standard planning), then uses PreSize in real-time. Based on this, INR decides which device to use in procedure (no prescribing). Data is collected on pre-deployment decision-making and procedure outcomes (devices used, intraoperative manipulations, simulation accuracy against post-deployment imaging). The registered study (10 hospitals) received ethics/health research approvals, supported by UK’s National Institute of Health and Care Research. <h3>Results</h3> Average standard-selected FD length was 19.54mm vs. 18.61mm with PreSize. In 45% of cases, standard-selected FD length was different vs. PreSize-selected (mostly PreSize-selected length was shorter, by up to 20mm). Average standard-selected FD diameter was 4.17mm vs. 4.33mm (PreSize). In 31% of cases, standard-selected FD diameter was different to PreSize-selected (mostly diameter increase, by up to 1mm). In all but 6 cases, device chosen was based directly on PreSize simulation; in only 3 cases balloon angioplasty was performed; in 88% of cases, only 1 device was deployed (1.1 device/patient); prospective simulation accuracy was evaluated 95% (mean). <h3>Conclusion</h3> First-of-its-kind trial presents prospective data on impact of planning simulation on clinical practice, demonstrating pre-deployment real-time planning with PreSize changes device selection from current practice.
Authors
- Hemant Sonwalkar (ORCID: https://orcid.org/0000-0003-4822-7338)
- Anne Schmitt
- Tufail F. Patankar (ORCID: https://orcid.org/0000-0003-3460-1528)
- Arun Chandran (ORCID: https://orcid.org/0000-0001-6820-4884)
- Jonathan Downer (ORCID: https://orcid.org/0000-0002-8272-092X)
Institutions
- Lancashire Teaching Hospitals NHS Foundation Trust (GB)
- University of Liverpool (GB)
- Leeds Teaching Hospitals NHS Trust (GB)
- Edinburgh Royal Infirmary (GB)
- Walton Centre (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- University College London (GB)
Publication Details
- Journal
- Abstracts
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1136/jnis-2024-esmint.20
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00