TY  - JOUR
AU  - Sarkar, Korak
AU  - Bhimarasetty, Vishal
AU  - Rahim, Abdul
AU  - Curtis, Colin
AU  - Hughes, Kimberly
PY  - 2025
DA  - 2025/2/21
TI  - Assessing the Feasibility and Utility of Patient-Specific 3D Advanced Visualization Modeling in Cerebrovascular Disease: Retrospective Analysis and Prospective Survey Pilot Study
JO  - JMIR Form Res
SP  - e51939
VL  - 9
KW  - cerebrovascular disease
KW  - advanced visualization
KW  - 3D modeling
KW  - cerebrovascular
KW  - intracerebral arteriovenous malformations
KW  - artery
KW  - vein
KW  - vessel
KW  - medical extended reality
KW  - 3D printing
KW  - medical simulation
KW  - virtual reality
KW  - augmented reality
KW  - usability
KW  - survey
KW  - stroke
KW  - brain
KW  - cerebral
AB  - Background: The prevalence, clinical burden, and health care costs (>US $100 billion) associated with cerebrovascular disease (CVD) will increase significantly as the US population grows and ages over the next 25 years. Existing 2D imaging modalities have inherent limitations in visualizing complex CVD, which may be mitigated with the use of patient-specific 3D advanced visualization (AV) technologies. There remain gaps in knowledge, however, regarding how and with what impact these technologies are being used in CVD. Objective: The aim of this study was to characterize the clinical attributes and reported utility associated with the use of 3D AV modeling in CVDs, specifically intracerebral arteriovenous malformations. Methods: This pilot study employs a combination of retrospective analysis and prospective surveys to describe the utilization and utility of patient-specific AV models at a single high-volume certified comprehensive stroke center. Results: From July 2017 to February 2023, 25 AV models were created for 4 different clinicians. The average patient age was 37.4 years; 44% (11/25) of the patients were African Americans, 52% (13/25) were on public insurance, and 56% (14/25) were associated with a neurovascular procedure. In this study, 18 clinicians with diverse experience responded to AV model surveys, with a 92.2% (166/180) completion rate. There was an average reported utility of 8.0 on a 0-10 scale, with higher scores reflecting increased utility. Compared to 2D viewing, AV models allowed staff to appreciate novel abnormal anatomy, and therefore, they would have changed their therapeutic approach in 45% (23/51) of the cases. Conclusions: AV models were used in complex CVDs associated with young, publicly insured individuals requiring resource-intensive interventions. There was strong and diverse clinician engagement with overall report of substantial utility of AV models. Staff clinicians frequently reported novel anatomical and therapeutic insights based on AV models compared to traditional 2D viewing. This study establishes the infrastructure for future larger randomized studies that can be repeated for CVDs or other disease states and incorporate assessments of other AV modalities such as 3D printing and medical extended reality. 
SN  - 2561-326X
UR  - https://formative.jmir.org/2025/1/e51939
UR  - https://doi.org/10.2196/51939
DO  - 10.2196/51939
ID  - info:doi/10.2196/51939
ER  -