{"title":"Fluoroscopy and Cone Beam CT Guidance in Robotic Interventions","authors":"Brenda Chahla MD , Merve Ozen MD","doi":"10.1016/j.tvir.2024.101007","DOIUrl":"10.1016/j.tvir.2024.101007","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51613,"journal":{"name":"Techniques in Vascular and Interventional Radiology","volume":"27 4","pages":"Article 101007"},"PeriodicalIF":1.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ifechi N. Ukeh MD , Michael T. Kassin MD , Nicole Varble PhD , Laetitia Saccenti MD , Ming Li PhD , Sheng Xu PhD , Bradford J. Wood MD
{"title":"Fusion Technologies for Image-Guided Robotic Interventions","authors":"Ifechi N. Ukeh MD , Michael T. Kassin MD , Nicole Varble PhD , Laetitia Saccenti MD , Ming Li PhD , Sheng Xu PhD , Bradford J. Wood MD","doi":"10.1016/j.tvir.2024.101009","DOIUrl":"10.1016/j.tvir.2024.101009","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51613,"journal":{"name":"Techniques in Vascular and Interventional Radiology","volume":"27 4","pages":"Article 101009"},"PeriodicalIF":1.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Image-Guided Robotic Interventions for Musculoskeletal Disease","authors":"John B. Smirniotopoulos MS, MD , Merve Ozen MD","doi":"10.1016/j.tvir.2024.101004","DOIUrl":"10.1016/j.tvir.2024.101004","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51613,"journal":{"name":"Techniques in Vascular and Interventional Radiology","volume":"27 4","pages":"Article 101004"},"PeriodicalIF":1.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alan Kim BS , Noah Barnes BS , Christopher Bailey MD , Axel Krieger PhD , Clifford R. Weiss MD
{"title":"Remote-Controlled and Teleoperated Systems: Taking Robotic Image Guided Interventions to the Next Stage","authors":"Alan Kim BS , Noah Barnes BS , Christopher Bailey MD , Axel Krieger PhD , Clifford R. Weiss MD","doi":"10.1016/j.tvir.2024.101008","DOIUrl":"10.1016/j.tvir.2024.101008","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51613,"journal":{"name":"Techniques in Vascular and Interventional Radiology","volume":"27 4","pages":"Article 101008"},"PeriodicalIF":1.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Role and Future of Artificial Intelligence in Robotic Image-Guided Interventions","authors":"Tom Boeken , Hwa-Pyung David Lim , Emil I. Cohen","doi":"10.1016/j.tvir.2024.101001","DOIUrl":"10.1016/j.tvir.2024.101001","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51613,"journal":{"name":"Techniques in Vascular and Interventional Radiology","volume":"27 4","pages":"Article 101001"},"PeriodicalIF":1.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Role of Robotics in Image-Guided Trans-Arterial Interventions","authors":"Izzet Altun MD , Nariman Nezami MD","doi":"10.1016/j.tvir.2024.101005","DOIUrl":"10.1016/j.tvir.2024.101005","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51613,"journal":{"name":"Techniques in Vascular and Interventional Radiology","volume":"27 4","pages":"Article 101005"},"PeriodicalIF":1.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Components of Robotic Systems in Image-Guided Percutaneous Interventions","authors":"Merve Ozen MD , Nicholas Meredith","doi":"10.1016/j.tvir.2024.101011","DOIUrl":"10.1016/j.tvir.2024.101011","url":null,"abstract":"<div><div>The field of interventional radiology is facing a growing demand for percutaneous procedures targeting smaller and more complex lesions. Percutaneous medical robots have proven to increase efficiency and accuracy and can address these issues. This review is intended to provide an overview of the functionality and components of these robotic systems for operators learning to use them. We begin by discussing the functions of robots in percutaneous interventions and how they operate. After this discussion, greater focus is then placed on the technical components of robots which help achieve these functions.</div></div>","PeriodicalId":51613,"journal":{"name":"Techniques in Vascular and Interventional Radiology","volume":"27 4","pages":"Article 101011"},"PeriodicalIF":1.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Govindarajan Narayanan MD , Ripal T. Gandhi MD , Bente A.T. van den Bemd MD
{"title":"Image Guided Percutaneous Robotic Interventions for Solid Organs","authors":"Govindarajan Narayanan MD , Ripal T. Gandhi MD , Bente A.T. van den Bemd MD","doi":"10.1016/j.tvir.2024.101006","DOIUrl":"10.1016/j.tvir.2024.101006","url":null,"abstract":"<div><div>Robotic systems for minimally invasive procedures, particularly in interventional oncology, have advanced significantly, especially for percutaneous interventions guided by CT, Cone-beam CT, and MRI. These systems, which include needle-guiding and needle-driving robots, enhance the precision of procedures like biopsy and tumor ablation. Needle-guiding robots plan and align the needle, while needle-driving robots autonomously advance it, improving needle placement accuracy, enabling out-of-plane insertion, and reducing radiation exposure. These robotic systems offer key clinical benefits, such as stable needle guidance for challenging angulated approaches and better access to lesions in confined spaces, like CT or MRI gantries. They can guide the needle to the optimal region of a lesion without the need for a second contrast injection, improving both diagnosis and treatment. While many robotic systems have been developed, only a few have reached clinical use. Early studies show promising results, but concerns about increased complexity and cost remain. Further research and clinical trials are needed to fully evaluate their value, though we believe that robotic systems will play an increasingly important role in the future of image-guided interventions, particularly for challenging tumors.</div></div>","PeriodicalId":51613,"journal":{"name":"Techniques in Vascular and Interventional Radiology","volume":"27 4","pages":"Article 101006"},"PeriodicalIF":1.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hanzhou Li , John T. Moon , Vishal Shankar , Janice Newsome , Judy Gichoya , Zachary Bercu
{"title":"Health inequities, bias, and artificial intelligence","authors":"Hanzhou Li , John T. Moon , Vishal Shankar , Janice Newsome , Judy Gichoya , Zachary Bercu","doi":"10.1016/j.tvir.2024.100990","DOIUrl":"10.1016/j.tvir.2024.100990","url":null,"abstract":"<div><div>Musculoskeletal (MSK) pain leads to significant healthcare utilization, decreased productivity, and disability globally. Due to its complex etiology, MSK pain is often chronic and challenging to manage effectively. Disparities in pain management—influenced by provider implicit biases and patient race, gender, age, and socioeconomic status—contribute to inconsistent outcomes. Interventional radiology (IR) provides innovative solutions for MSK pain through minimally invasive procedures, which can alleviate symptoms and reduce reliance on opioids. However, IR services may be underutilized, especially due to current treatment paradigms, referral patterns, and in areas with limited access to care. Artificial intelligence (AI) presents a promising avenue to address these inequities by analyzing large datasets to identify disparities in pain management, recognizing implicit biases, improving cultural competence, and enhancing pain assessment through multimodal data analysis. Additionally, patients who may benefit from an IR pain procedure for their MSK pain may then receive more information through their providers after being identified as a candidate by AI sifting through the electronic medical record. By leveraging AI, healthcare providers can potentially mitigate their biases while ensuring more equitable pain management and better overall outcomes for patients.</div></div>","PeriodicalId":51613,"journal":{"name":"Techniques in Vascular and Interventional Radiology","volume":"27 3","pages":"Article 100990"},"PeriodicalIF":1.4,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visceral nerve interventions in interventional radiology","authors":"Shen Ning, Samir Ghandour, Ashraf Thabet, Shams Iqbal","doi":"10.1016/j.tvir.2024.100983","DOIUrl":"10.1016/j.tvir.2024.100983","url":null,"abstract":"<div><div>Chronic abdominal visceral pain management often requires multidisciplinary collaboration. Image-guided visceral nerve interventions may be critical in the management of visceral pain refractory to medical treatments. Abdominal and pelvic pain is mediated by specific nerves involving specific ganglia. The well-defined location of these ganglia provides important targets for percutaneous image-guided interventions to alleviate chronic abdominal or pelvic pain. In this review, we provide an in-depth discussion of the anatomy, indications, evidence, and technical and clinical considerations and complications for celiac plexus, superior hypogastric, inferior hypogastric, and ganglion impar block and neurolysis.</div></div>","PeriodicalId":51613,"journal":{"name":"Techniques in Vascular and Interventional Radiology","volume":"27 3","pages":"Article 100983"},"PeriodicalIF":1.4,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}