AneuSearch: a software prototype for intracranial aneurysm searching and clinical decision support

Area of Science:

• Neurosurgery
• Medical Informatics
• Biomedical Engineering

Background:

• Intracranial aneurysms (IA) require complex clinical decisions.
• Information for IA treatment is often fragmented across multiple sources.
• Integrating diverse data is crucial for effective IA management.

Purpose of the Study:

• To develop AneuSearch, a framework for integrating IA information.
• To enable efficient searching of IA data based on specific criteria.
• To support clinical decision-making in intracranial aneurysm treatment.

Main Methods:

• Utilized DCM4Chee, an open-source DICOM image management system.
• Developed AneuSearchDB to store morphological, hemodynamic, and histological data.
• Designed relational tables addressing key neurosurgical questions.

Main Results:

• Deployed a prototype AneuSearch system in a Chinese hospital.
• System currently holds data for 105 IA patients, hemodynamic simulations, and histological images.
• The system successfully queried data and provided blood flow information.

Conclusions:

• AneuSearch offers a novel tool for intracranial aneurysm management.
• Future development will integrate IA treatment criteria into rupture risk assessment.