VIST® Case-It by Mentice is a software solution that allows clinicians and educators to create patient-specific simulation cases for endovascular procedures using actual patient anatomy data. The software integrates with clinically validated segmentation solutions, enabling users to import anatomical datasets and build a personalized library of training cases. These cases can be customized by adding pathologies and shared with colleagues, supporting collaborative learning and preparation for challenging interventions. Case-It is designed to work seamlessly with the VIST® simulation platforms, ensuring high realism and compatibility. The system is intended to address the evolving needs of medical education, certification, and clinical rehearsal by providing a flexible environment for individualized, scenario-based training. Mentice also offers a certification program to ensure compatibility with professional and FDA-approved segmentation workstations, maintaining data integrity and workflow efficiency[1][2].

Key Features

Patient-Specific Case Creation Enables simulation based on real patient anatomy.

• Import anatomy data from segmentation workstations.
• Build unlimited, personalized case libraries.

Case Customization and Sharing Facilitates collaborative and targeted training.

• Add pathologies to cases for tailored scenarios.
• Share complex cases with colleagues for team preparation.

Seamless Integration and Certification Ensures compatibility and workflow efficiency.

• Certified to work with professional, FDA-approved segmentation solutions.
• Direct import into VIST® simulators for immediate use.

Supports Clinical Rehearsal and Education Improves readiness for real procedures.

• Use as a warm-up or rehearsal before actual interventions.
• Adaptable to changing curricula and regional needs.

Benefits

Personalized and Realistic Training Enhances clinical preparedness and skill development.

• Practice on anatomies relevant to actual patient cases.
• Reduces the learning curve for complex interventions.

Collaborative Learning and Quality Improvement Supports team-based education and knowledge sharing.

• Enables sharing of challenging or rare cases.
• Facilitates peer review and discussion.

Workflow Efficiency and Data Integrity Maintains seamless integration with existing tools.

• Certified compatibility with segmentation workstations.
• Minimizes extra work and learning curve for users.