A patient-specific multi-modality abdominal aortic aneurysm imaging phantom.

No prior work had resolved the challenge of creating versatile phantoms compatible with diverse imaging systems. Current vascular models often lack the necessary fidelity for both radiation and sound-based visualization techniques. This gap motivated the development of new tools to improve pre-clinical device testing. Prior research has shown that reducing ionizing radiation exposure remains a priority in modern clinical practice. That uncertainty drove the need for realistic, non-human testing platforms for vascular interventions. Surgical trainees require high-quality simulation tools to master complex endovascular procedures safely. Existing solutions frequently fail to replicate patient-specific anatomy with sufficient accuracy for advanced training. This study addresses these limitations by proposing a novel fabrication method for abdominal aortic aneurysm models.

The aim of this study is to propose a temperature-stable, high-fidelity method for creating complex abdominal aortic aneurysm phantoms. Researchers sought to address the need for models compatible with both radiation-based and ultrasound-based imaging modalities. This work focuses on utilizing low-cost materials to improve accessibility for pre-clinical device testing. The team intended to provide a platform that facilitates comparisons in research settings. Additionally, the study explores the benefits of these phantoms for surgical trainees gaining experience with new techniques. The motivation stems from the increasing awareness of ionizing radiation dangers in clinical environments. By creating patient-specific structures, the authors hope to enhance the realism of simulation tools. This effort seeks to bridge the gap between patient anatomy and benchtop testing requirements.

The Review Approach involved acquiring volumetric computed tomography data from a patient with an abdominal aortic aneurysm. Researchers performed segmentation on specific regions of interest to generate a 3D printable model. The team utilized water-soluble materials to print wall-less vascular structures representing the patient anatomy. These structures were subsequently embedded within tailored tissue-mimicking materials to replicate surrounding biological environments. A non-soluble 3D printed spine was integrated to serve as a fixed radiological landmark. The fabrication process prioritized the use of low-cost materials to ensure accessibility. Investigators evaluated the resulting phantom using multiple imaging systems to confirm compatibility. Finally, the utility of the model was tested during a simulated endovascular aneurysm repair procedure.

Key Findings From the Literature indicate that the hybrid fabrication method successfully produces realistic, patient-derived vascular phantoms. The models provided accurate visual representations during intravascular ultrasound, computed tomography, and transcutaneous ultrasound assessments. The inclusion of a non-soluble spine effectively provided a necessary radiological landmark for navigation. During simulated endovascular aneurysm repair, the phantom demonstrated utility for training with image fusion. The temperature-stable design maintained fidelity across the tested imaging modalities. These results confirm that complex vascular structures can be created using the described hybrid approach. The study provides evidence that these phantoms are compatible with both radiation-based and ultrasound-based systems. The findings support the use of these models for benchtop development and surgical training applications.

The authors propose that their hybrid fabrication technique successfully produces complex, patient-derived vascular models. These phantoms demonstrate realistic visual characteristics across computed tomography, intravascular ultrasound, and transcutaneous ultrasound platforms. The study suggests these tools serve as effective aids for benchtop development of emerging imaging technologies. Researchers also highlight the potential for refining novel minimally invasive surgical procedures using these models. The findings indicate that the inclusion of a non-soluble spine provides a necessary radiological landmark for accurate navigation. The team concludes that their method offers a viable, low-cost alternative for creating high-fidelity anatomical structures. These models may improve the training experience for clinicians performing endovascular aneurysm repair. The work confirms that patient-specific data can be translated into functional, multimodality-compatible simulation tools.