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Aichi Chien

Department of Radiological Science, David Geffen School of Medicine at UCLA, 10833 Leconte Ave, Box 957350 Los Angeles, CA 90095, USA

  • Research Article   
    Computer-Assisted Aneurysm Growth Evaluation and Detection (AGED): Comparison with Clinical Aneurysm Follow-Up
    Author(s): Aichi Chien*, Ziga Spiclin, Ziga Bizjak and Kambiz Nael

    Background: Since growing Intracranial Aneurysms (IA) are more likely to rupture, detecting growth is an important part of unruptured IA follow-up. Recent studies have consistently shown that detecting IA growth can be challenging, especially in smaller aneurysms. In this study, we present an automated computational method to assist in aneurysm growth detection. Methods: An analysis program, Aneurysm Growth Evaluation and Detection (AGED), based on IA images was developed. To verify the program can satisfactorily detect clinical aneurysm growth, we performed this comparative study using clinical determinations of growth during IA follow-up as a gold standard. Patients with unruptured, saccular IA followed by diagnostic brain CTA to monitor IA progression were reviewed. 48 IA image series from 20 longitudinally-followed ICA.. View more»

    DOI: 10.4172/2155-9864.22.13.517

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