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An Early Warning Model of Unfavorable Outcomes Following Endovascular Interventional Treatment of Intracranial Aneurysm

NCT06364293 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 750

Last updated 2024-04-15

No results posted yet for this study

Summary

Endovascular treatment has become one of the primary treatment methods for intracranial aneurysms. The unfavorable outcomes during follow-up included aneurysm recurrence and long-term incomplete-occlusion, which would bring a high risk of rebleeding and retreatment. Previous studies have tried to predict the outcomes of aneurysms following endovascular treatment based on aneurysm characteristics including morphology, embolization packing degree, etc, but the conclusion was inconsistent. Hemodynamics of aneurysms and parent artery played a greater role in predicting outcomes following endovascular treatments. Investigators also found that the outcomes were determined by many factors, in which the demography, clinical indicators, treatment methods, and material selection can not be ignored, and the mechanism of unfavorable imaging outcomes should be explored using large samples of clinical cases and numerous variable parameters. The pre-experiment of investigators confirmed that artificial intelligence technology can meet the calculation requirements for deep mining and analysis of large sample data. This study aims to use the deep learning model to identify relevant risk factors and weights, establish a stable and accurate prediction model, then incorporate the prospective study to verify the model. The results will be very helpful in accurately predicting the adverse outcomes such as recurrence and long-term non-occlusion after endovascular treatment and help to improve the therapeutic strategy and avoid risk factors. Besides, the occurrence of ischemic or hemorrhagic complications during follow-up may affect the final follow-up outcome, so the analysis was included as one of the outcome events to evaluate the prognosis after intervention.

Conditions

  • Intracranial Aneurysm

Interventions

OTHER

Observational design does not include interventional behavior.

Observational design does not include interventional behavior.

Sponsors & Collaborators

  • National Natural Science Foundation of China

    collaborator OTHER_GOV

  • Beijing Tiantan Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-01-01
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06364293 on ClinicalTrials.gov