Infections of cardiac implantable electronic devices and how to improve transvenous lead extraction by the virtual reality.

Introduction: Infections in cardiac implantable electronic devices (CIED) are increasing over time and associated with substantially mortality and healthcare costs. The best approach is the complete removal of the system by transvenous lead extraction (TLE). However, when leads are more than 10 years old, this technique requires considerable expertise and failures with the result of abandoned leads or serious complications may occur. The aim of this study is to describe our experience using virtual and mixed reality in the preoperative planning of complex cases. Patients and methods: Consecutive patients from a referral centre with CIED infections in which TLE was judged difficult. Synchronized computed tomography (CT) scan images were processed and transferred to a fully immersive virtual reality room and also to the operative room (mixed reality) for better guidance during the extracting procedure. Results: Ten patients (seven with local and three with systemic infections) were preoperative evaluated. Processed images and virtual reality showed intense adherences of the leads to the veins, right ventricle, and right atrium endocardium and between them that preclude a difficult extraction and required a carefully planning and sometimes a different technical approach. The anticipated difficulty was confirmed by the higher times of fluoroscopy. All leads were extracted and no complications were registered. Conclusions: Preoperative planning is essential for evaluation of TLE difficulty and prevention of unexpected situations. Virtual reality seems an estimable aid for operators in planning difficult cases and also an excellent tool for teaching. Supplementary information: The online version contains supplementary material available at 10.1007/s12055-023-01663-9.

3D Printing of Diffuse Low-Grade Gliomas Involving Eloquent Cortical Areas and Subcortical Functional Pathways: Technical Note.

BACKGROUND: Surgical resection of diffuse low-grade gliomas (DLGGs) involving cortical eloquent areas and subcortical functional pathways represents a challenge in neurosurgery. Patient-specific, 3-dimensional (3D)-printed models of head and brain structures have emerged in recent years as an educational and clinical tool for patients, doctors, and surgical residents. METHODS: Using multimodal high-definition magnetic resonance imaging data, which incorporates information from specific task-based functional neuroimaging and diffusion tensor imaging tractography and rapid prototyping technologies with specialized software and "in-house" 3D printing, we were able to generate 3D-printed head models that were used for preoperative patient education and consultation, surgical planning, and resident training in 2 complicated DLGG surgeries. RESULTS: This 3D-printed model is rapid prototyped and shows a means to model individualized, diffuse, low-level glioma in 3D space with respect to cortical eloquent areas and subcortical pathways. Survey results from 8 surgeons with different levels of expertise strongly support the use of this model for surgical planning, intraoperative surgical guidance, doctor-patient communication, and surgical training (>95% acceptance). CONCLUSIONS: Spatial proximity of DLGG to cortical eloquent areas and subcortical tracts can be readily assessed in patient-specific 3D printed models with high fidelity. 3D-printed multimodal models could be helpful in preoperative patient consultation, surgical planning, and resident training.