Clinical application of 3D-Slicer + 3D printing guide combined with transcranial neuroendoscopic in minimally invasive neurosurgery

The Integration of 3D Virtual Reality and 3D Printing Technology as Innovative Approaches to Preoperative Planning in Neuro-Oncology

Our study explores the integration of three-dimensional (3D) virtual reality (VR) and 3D printing in neurosurgical preoperative planning. Traditionally, surgeons relied on two-dimensional (2D) imaging for complex neuroanatomy analyses, requiring significant mental visualization. Fortunately, nowadays advanced technology enables the creation of detailed 3D models from patient scans, utilizing different software. Afterwards, these models can be experienced through VR systems, offering comprehensive preoperative rehearsal opportunities. Additionally, 3D models can be 3D printed for hands-on training, therefore enhancing surgical preparedness. This technological integration transforms the paradigm of neurosurgical planning, ensuring safer procedures.

Exploring the Application of the Artificial-Intelligence-Integrated Platform 3D Slicer in Medical Imaging Education

Artificial Intelligence (AI) has revolutionized medical imaging procedures, specifically with regard to image segmentation, reconstruction, interpretation, and research. 3D Slicer, an open-source medical image analysis platform, has become a valuable tool in medical imaging education due to its integration of various AI applications. Through its open-source architecture, students can gain practical experience with diverse medical images and the latest AI technology, reinforcing their understanding of anatomy and imaging technology while fostering independent learning and clinical reasoning skills. The implementation of this platform improves instruction quality and nurtures skilled professionals who can meet the demands of clinical practice, research institutions, and technology innovation enterprises. AI algorithms' application in medical image processing have facilitated their translation from the lab to practical clinical applications and education.

Application of 3D visualization technology based on hematoma edge key points setting for emergency hypertensive cerebral hemorrhage surgery in primary hospitals

OBJECTIVE

This study aims to explore the application potential of 3D visualization technology based in emergency hypertensive cerebral hemorrhage surgery in primary hospitals. The specific goal is to use 3DSlicer software to perform 3D reconstruction and body surface projection on patients with hypertensive cerebral hemorrhage, provide accurate hematoma location information, help surgeons determine the specific location of hematoma on the body surface, and reduce the expansion of surgical incisions.

METHODS

3D reconstruction technology based on 3DSlicer software was employed to process CT images of patients with cerebral hemorrhage. By segmenting and reconstructing the images, a 3D model of the hematoma was generated and projected onto the patient's body surface. Utilizing the functionalities of 3DSlicer software in conjunction with the surgeon's anatomical knowledge, accurate hematoma positioning on the body surface was achieved.

RESULTS

23 patients were enrolled in this study, and underwent successful surgical evacuation. The implementation of 3D visualization technology using 3DSlicer software is expected to provide precise hematoma localization information for emergency hypertensive intracerebral hemorrhage surgery in primary hospitals. This approach will enable surgeons to accurately determine the appropriate surgical incision, thereby minimizing unnecessary trauma and improving the overall success rate of surgery.

CONCLUSION

This study demonstrates the potential application of 3D visualization technology based on 3DSlicer software in emergency hypertensive cerebral hemorrhage surgery within primary hospitals. By utilizing 3DSlicer software for hematoma localization, accurate information support can be provided to assist surgeons in managing patients with hypertensive cerebral hemorrhage.

Advances in the Molecular Landscape of Lung Cancer Brain Metastasis

Lung cancer is one of the most frequent tumors that metastasize to the brain. Brain metastasis (BM) is common in advanced cases, being the major cause of patient morbidity and mortality. BMs are thought to arise via the seeding of circulating tumor cells into the brain microvasculature. In brain tissue, the interaction with immune cells promotes a microenvironment favorable to the growth of cancer cells. Despite multimodal treatments and advances in systemic therapies, lung cancer patients still have poor prognoses. Therefore, there is an urgent need to identify the molecular drivers of BM and clinically applicable biomarkers in order to improve disease outcomes and patient survival. The goal of this review is to summarize the current state of knowledge on the mechanisms of the metastatic spread of lung cancer to the brain and how the metastatic spread is influenced by the brain microenvironment, and to elucidate the molecular determinants of brain metastasis regarding the role of genomic and transcriptomic changes, including coding and non-coding RNAs. We also present an overview of the current therapeutics and novel treatment strategies for patients diagnosed with BM from NSCLC.