Patient-specific Advanced Visualization Modeling in Intracranial Aneurysms Featuring Anatomical, Clinical, and Demographic Features
Vishal Bhimarasetty1, Smruti Mahapatra1, Rahim Abdual 1, Korak Sarkar2
1BioDesign Lab, Ochsner Medical Center, 2Ochsner Health
Objective:
Classifying clinical attributes of three-dimensional (3D) advanced visualization (AV) modeling in Intracranial Aneurysms (IA).
Background:
Visualizing clinical imaging is traditionally accomplished via two-dimensional planar imaging. The growth of 3D-rendering technologies has created novel opportunities for advanced visualization (AV) in Cerebrovascular Disease (CVD), specifically Intracranial aneurysms (IA). The limitations of 2D imaging in CVD may be mitigated with patient-specific AV models which can be seen using 3D Viewer software (3DV), Mixed Reality (XR), and/or 3D Printing (3DP). There remains a gap in knowledge, however, in understanding how these tools are being used in complex IA.
Design/Methods:
The AV anatomical models are based on Digital Imaging and Communications in Medicine (DICOM) datasets procured via routine clinical imaging. DICOM datasets are segmented using computer-aided design (CAD) software into 3D files. Descriptive statistics were used to characterize anatomical, clinical, & demographic attributes associated with AV models used in IAs.
Results:
Six neurovascular physicians requested 84 AV models for IA cases over a 24-month period. In these IA cases, 78.57% pertained to female patients (n=66), & 38.1% represented African Americans (n=32). Among the AV IA cases, 90.4% utilized rXA (rotational angiography), 36.9% of patients had multiple diagnosed IAs (n=31), & 19.05% were hemorrhagic (n=16). The average IA size measured 7.07mm, with 51.19% found on the left side (n=43), & 46.43% located in the internal carotid artery (ICA).
Conclusions:
In conclusion, AV models are designed for IA using rXA imaging, and 3DV is used to view clinician-requested AV for IAs. Future directions involve evaluating the potential of AV models for procedural planning & clinical execution for IA's.