Techniques in Vascular and Interventional Radiology最新文献

Trans-arterial interventions are an increasingly utilized approach for diagnosing and treating a wide range of pathologies, providing superior patient outcomes compared to traditional open surgical methods. Recent advancements in tracking and navigation technologies have significantly refined these interventions, enhancing procedural precision and success. Advanced imaging modalities, such as fluoroscopy, cone beam computed tomography (CBCT), and intravascular ultrasound (IVUS), are frequently used strategies offering critical real-time guidance. Although fluoroscopy remains the primary choice for many procedures, advancements in CBCT and IVUS have enabled the delivery of detailed volumetric and intravascular imaging while reducing radiation exposure. Aiming to enhance imaging capabilities further, image fusion and augmented reality technologies show substantial potential for integrating multiple datasets into cohesive models, improving instrument tracking and spatial orientation during interventions. Innovations in navigation systems, including electromagnetic, fiberoptic, and robotic navigation, provide additional tracking capabilities for enhanced intra-arterial navigation. This article will review the current advancements in imaging, tracking, navigation, and image fusion technologies and explore their utility in enhancing trans-arterial interventions.

Interventional radiology (IR) has aided advances in the diagnosis and treatment of lung pathologies through procedures such as percutaneous biopsy, tumor ablation and drainage of intra-thoracic collections. The success and safety of these interventions largely depend on timely and accurate needle/device placement. Additionally, there is an inherent need to minimize radiation exposure during image-guided procedures. Robotic systems offer potential solutions to improve procedure time and accuracy, as well as reduce radiation dose. This article summarizes the existing data for clinically utilized robotic systems in the context of percutaneous lung intervention. Additionally, practical considerations are outlined when implementing robotic systems in clinical practice. Whilst robotic systems can be useful adjunctive tools, currently available systems require significant physician supervision and are therefore limited by a lack of true system autonomy.

Interventional Radiology is at the forefront of integrating advanced imaging techniques and minimally-invasive procedures to enhance patient care. The advent of Digital Health Technologies (DHTs), including artificial intelligence (AI), robotics, and extended reality (XR), is revolutionizing healthcare, particularly in IR due to its reliance on innovative technology and advanced imaging. Since 2016, the proportion of these DHT-related publications in IR has consistently increased. The proportion of AI-related studies published in IR was 69% higher than in surgery, XR-related studies were 94% higher, and robotics studies were 192% higher, indicating a more rapid growth rate in IR compared to surgery. This article explores the transformative impact of these technologies on IR, emphasizing their potential to enhance precision, efficiency, and patient outcomes. Despite the promising advancements, there is a lack of standardization and clinical consensus on the optimal use of DHTs in IR. The variability in IR procedures and imaging systems across hospitals complicates the standardization of workflows and comparison of studies. This underscores the importance of integrating DHTs as aids to IR practitioners rather than replacement, ensuring that these technologies enhance both clinical and procedural practice.

Developments in robotic interventions have greatly affected the field of interventional radiology (IR), particularly when combined with imaging modalities such as fluoroscopy and cone-beam computed tomography (CBCT). The aim of this review is to compare and evaluate the safety, precision, and clinical outcomes of fluoroscopy and CBCT-guided robotic interventions in IR. An extensive search of the literature on PubMed and Google Scholar databases was conducted up to November 2024. Searched terms included "robotic interventions," "fluoroscopy guidance," "cone-beam CT guidance," and "robotic surgery." Literature review showed improved patient outcomes in robotic-assisted procedures, with fewer complications and higher success rates especially in anatomically challenging cases. Fluoroscopy-guided robotic interventions provide real-time imaging, allowing for accurate interventions while CBCT-guided procedures offer enhanced 3D visualization, reducing radiation exposure while maintaining high diagnostic accuracy and shorter needle puncture times. Both fluoroscopy and CBCT-guided robotic interventions play a critical role in advancing interventional radiology and are expected to improve procedural outcomes in IR.

An image guided robot only becomes fully useful with integrated software leveraging image fusion. Image fusion is the process of registering and superimposing imaging data in the same coordinate space and can be helpful to image-guided robotic interventions. Effective percutaneous robotic procedures can utilize real-time image guidance and navigation which are powered by fusion technologies. By integrating information from multiple imaging modalities, fusion technologies provide insights into anatomic features and procedural targets that may not be apparent through traditional positional tracking or single-modality imaging. Current robots available for interventions highlight different approaches to utilizing real-time fusion and procedure planning. As robotics become increasingly integrated into interventional radiology clinical practice, the continued innovation and adoption of fusion-based approaches will enable more seamless use of this technology, offering the potential for improved safety, standardization, and clinical efficacy. This review explores key techniques in image fusion and highlights the integration of fusion and robotics towards the goal of optimized and automated interventional procedures.

Image-guided robotic interventions have revolutionized the treatment of musculoskeletal (MSK) diseases, combining the precision of robotics with advanced imaging to improve procedural accuracy and patient outcomes. This review delves into the evolution, current applications, and future prospects of robotic systems in managing MSK disorders. Special attention is given to the integration of various imaging modalities, the clinical impact on patient care, and the ongoing challenges that need to be addressed to enhance the adoption and efficacy of these technologies.

Remote-controlled and teleoperated robotic systems mark transformative advancements in interventional radiology (IR), with the potential to enhance precision, reduce radiation exposure, and expand access to care. By integrating robotic devices with imaging guidance, these systems enable precise instrument placement and navigation, thereby improving the efficacy and safety of minimally invasive procedures. Remote-controlled and teleoperated robotic systems-operated by clinicians using control interfaces from within or adjacent to the procedure room-are being adopted for both percutaneous and endovascular interventions. In contrast, although their application is still experimental, teleoperation over long distances hold promise for extending IR services to medically underserved areas by enabling remote procedures. This review details the definitions and components of remote-controlled and teleoperated robotic systems in IR, examines their clinical applications in percutaneous and endovascular interventions, and discusses relevant challenges and future directions for their incorporation into IR practices.

Artificial intelligence and robotics are transforming interventional radiology, driven by advancements in computer vision, robotics and procedural automation. Historically focused on diagnostics, AI now also enhances procedural capabilities in IR, enabling future robotic systems to handle complex tasks such as catheter manipulation or needle placement with increasing precision and reliability. Early robotic systems in IR demonstrated improved accuracy in both vascular and percutaneous interventions, though none were equipped with automatic decision-making. This review tends to show the potential in improving procedural outcomes with AI for robotics, though challenges remain. Techniques like reinforcement learning and haptic vision are under investigation to address several issues, training robots to adapt based on real-time feedback from the environment. As AI-driven robotics evolve, IR could shift towards a model where human expertise oversees the technology rather than performs the intervention itself.

The integration of robotic systems in image-guided trans-arterial interventions has revolutionized the field of Interventional Radiology (IR), offering enhanced precision, safety, and efficiency. These advancements are particularly impactful for acute conditions such as stroke, pulmonary embolism, and STEMI, where timely intervention is critical. Robotic platforms like the CorPath GRX and Magellan allow for remote navigation and catheter-based interventions, making it possible to extend specialized services to remote and underserved areas. These systems reduce radiation exposure for operators and enable safer, more complex procedures such as neurovascular interventions, pulmonary embolism treatment, and trans-arterial chemoembolization. By allowing specialists to control procedures remotely, robotic systems can dramatically improve outcomes in regions lacking immediate access to expert care for acute diseases. However, challenges such as high costs, the need for robust telecommunication infrastructure, and the absence of tactile feedback still exist. Future innovations, including untethered micro-robots and MR-guided robotics, hold promise for addressing these limitations. As these technologies evolve, robotic systems are expected to play a vital role in improving access to life-saving interventions in remote areas, transforming how trans-arterial procedures for acute diseases are performed while reducing risks to both patients and operators.