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Ukeh IN, Kassin MT, Varble N, Saccenti L, Li M, Xu S, Wood BJ. Fusion Technologies for Image-Guided Robotic Interventions. Tech Vasc Interv Radiol 2024; 27:101009. [PMID: 39828383 DOI: 10.1016/j.tvir.2024.101009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
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.
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Affiliation(s)
- Ifechi N Ukeh
- Center for Interventional Oncology, Radiology, and Imaging Sciences, NIH Clinical Center, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD.
| | - Michael T Kassin
- Center for Interventional Oncology, Radiology, and Imaging Sciences, NIH Clinical Center, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD
| | | | - Laetitia Saccenti
- Henri Mondor Biomedical Research Institute, Inserm U955, Team N°18, Créteil, France
| | - Ming Li
- Center for Interventional Oncology, Radiology, and Imaging Sciences, NIH Clinical Center, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD
| | - Sheng Xu
- Center for Interventional Oncology, Radiology, and Imaging Sciences, NIH Clinical Center, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD
| | - Bradford J Wood
- Center for Interventional Oncology, Radiology, and Imaging Sciences, NIH Clinical Center, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD
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Narayanan G, Gandhi RT, van den Bemd BAT. Image Guided Percutaneous Robotic Interventions for Solid Organs. Tech Vasc Interv Radiol 2024; 27:101006. [PMID: 39828386 DOI: 10.1016/j.tvir.2024.101006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
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.
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Affiliation(s)
- Govindarajan Narayanan
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL; Department of Interventional Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL; Department of Interventional Radiology, Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami, FL
| | - Ripal T Gandhi
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL; Department of Interventional Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL; Department of Interventional Radiology, Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami, FL
| | - Bente A T van den Bemd
- Department of Interventional Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL; Department of Interventional Radiology, Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami, FL; Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VUmc, Cancer Center Amsterdam, AMS, The Netherlands.
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Ozen M, Meredith N. Components of Robotic Systems in Image-Guided Percutaneous Interventions. Tech Vasc Interv Radiol 2024; 27:101011. [PMID: 39828387 DOI: 10.1016/j.tvir.2024.101011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
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.
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Affiliation(s)
- Merve Ozen
- Department of Radiology, Mayo Clinic, Phoenix, AZ.
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Kim A, Barnes N, Bailey C, Krieger A, Weiss CR. Remote-Controlled and Teleoperated Systems: Taking Robotic Image Guided Interventions to the Next Stage. Tech Vasc Interv Radiol 2024; 27:101008. [PMID: 39828385 DOI: 10.1016/j.tvir.2024.101008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2025]
Abstract
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.
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Affiliation(s)
- Alan Kim
- Division of Vascular and Interventional Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Noah Barnes
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD
| | - Christopher Bailey
- Division of Vascular and Interventional Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Axel Krieger
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD
| | - Clifford R Weiss
- Division of Vascular and Interventional Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD.
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Li KP, Wan S, Chen SY, Wang CY, Liu SH, Yang L. Perioperative, functional and oncologic outcomes of percutaneous ablation versus minimally invasive partial nephrectomy for clinical T1 renal tumors: outcomes from a pooled analysis. J Robot Surg 2024; 18:306. [PMID: 39105944 DOI: 10.1007/s11701-024-02052-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 07/15/2024] [Indexed: 08/07/2024]
Abstract
The objective of this study was to perform a comprehensive pooled analysis aimed at comparing the efficacy and safety of percutaneous ablation (PCA) versus minimally invasive partial nephrectomy (MIPN), including robotic and laparoscopic approaches, in patients diagnosed with cT1 renal tumors. We conducted a comprehensive search across four major electronic databases: PubMed, Embase, Web of Science, and the Cochrane Library, targeting studies published in English up to April 2024. The primary outcomes evaluated in this analysis included perioperative outcomes, functional outcomes, and oncological outcomes. A total of 2449 patients across 17 studies were included in the analysis. PCA demonstrated superior outcomes compared to MIPN in terms of shorter hospital stays (WMD: - 2.13 days; 95% Confidence Interval [CI]: - 3.29, - 0.97; p = 0.0003), reduced operative times (WMD: - 109.99 min; 95% CI: - 141.40, - 78.59; p < 0.00001), and lower overall complication rates (OR: 0.54; 95% CI: 0.40, 0.74; p = 0.0001). However, PCA was associated with a higher rate of local recurrence when compared to MIPN (OR: 3.81; 95% CI: 2.45, 5.92; p < 0.00001). Additionally, no significant differences were observed in major complications, estimated glomerular filtration rate decline, creatinine variation, overall survival, recurrence-free survival, and disease-free survival between the two treatment modalities. PCA presents a notable disadvantage regarding local recurrence rates in comparison to MIPN. However, PCA offers several advantages over MIPN, including shorter durations of hospital stay, reduced operative times, and lower complication rates, while achieving similar outcomes in other oncologic metrics.
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Affiliation(s)
- Kun-Peng Li
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
- Institute of Urology, Clinical Research Center for Urology in Gansu Province, Lanzhou, China
| | - Shun Wan
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
- Institute of Urology, Clinical Research Center for Urology in Gansu Province, Lanzhou, China
| | - Si-Yu Chen
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
- Institute of Urology, Clinical Research Center for Urology in Gansu Province, Lanzhou, China
| | - Chen-Yang Wang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China
- Institute of Urology, Clinical Research Center for Urology in Gansu Province, Lanzhou, China
| | - Shan-Hui Liu
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China.
- Institute of Urology, Clinical Research Center for Urology in Gansu Province, Lanzhou, China.
| | - Li Yang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou, China.
- Institute of Urology, Clinical Research Center for Urology in Gansu Province, Lanzhou, China.
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Chlorogiannis DD, Charalampopoulos G, Bale R, Odisio B, Wood BJ, Filippiadis DK. Innovations in Image-Guided Procedures: Unraveling Robot-Assisted Non-Hepatic Percutaneous Ablation. Semin Intervent Radiol 2024; 41:113-120. [PMID: 38993597 PMCID: PMC11236453 DOI: 10.1055/s-0044-1786724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
Interventional oncology is routinely tasked with the feat of tumor characterization or destruction, via image-guided biopsy and tumor ablation, which may pose difficulties due to challenging-to-reach structures, target complexity, and proximity to critical structures. Such procedures carry a risk-to-benefit ratio along with measurable radiation exposure. To streamline the complexity and inherent variability of these interventions, various systems, including table-, floor-, gantry-, and patient-mounted (semi-) automatic robotic aiming devices, have been developed to decrease human error and interoperator and intraoperator outcome variability. Their implementation in clinical practice holds promise for enhancing lesion targeting, increasing accuracy and technical success rates, reducing procedure duration and radiation exposure, enhancing standardization of the field, and ultimately improving patient outcomes. This narrative review collates evidence regarding robotic tools and their implementation in interventional oncology, focusing on clinical efficacy and safety for nonhepatic malignancies.
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Affiliation(s)
| | - Georgios Charalampopoulos
- 2nd Department of Radiology, University General Hospital “ATTIKON,” Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Reto Bale
- Department of Radiology, Interventional Oncology - Stereotaxy and Robotics, Medical University Innsbruck, Innsbruck, Austria
| | - Bruno Odisio
- Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bradford J. Wood
- Interventional Radiology and Center for Interventional Oncology, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Dimitrios K. Filippiadis
- 2nd Department of Radiology, University General Hospital “ATTIKON,” Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Matsui Y, Kamegawa T, Tomita K, Uka M, Umakoshi N, Kawabata T, Munetomo K, Iguchi T, Matsuno T, Hiraki T. Robotic systems in interventional oncology: a narrative review of the current status. Int J Clin Oncol 2024; 29:81-88. [PMID: 37115426 DOI: 10.1007/s10147-023-02344-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023]
Abstract
Interventional oncology offers minimally invasive treatments for malignant tumors for curative and palliative purposes based on the percutaneous insertion of needles or catheters into the target location under image guidance. Robotic systems have been gaining increasing attention as tools that provide potential advantages for image-guided interventions. Among the robotic systems developed for intervention, those relevant to the oncology field are mainly those for guiding or driving the needles in non-vascular interventional procedures such as biopsy and tumor ablation. Needle-guiding robots support planning the needle path and align the needle robotically according to the planned trajectory, which is combined with subsequent manual needle insertion by the physician through the needle guide. Needle-driving robots can advance the needle robotically after determining its orientation. Although a wide variety of robotic systems have been developed, only a limited number of these systems have reached the clinical phase or commercialization thus far. The results of previous studies suggest that such interventional robots have the potential to increase the accuracy of needle placement, facilitate out-of-plane needle insertion, decrease the learning curve, and reduce radiation exposure. On the other hand, increased complexity and costs may be a concern when using robotic systems compared with conventional manual procedures. Further data should be collected to comprehensively assess the value of robotic systems in interventional oncology.
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Affiliation(s)
- Yusuke Matsui
- Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan.
| | - Tetsushi Kamegawa
- Faculty of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
| | - Koji Tomita
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Mayu Uka
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Noriyuki Umakoshi
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Takahiro Kawabata
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Kazuaki Munetomo
- Department of Radiology, Okayama University Hospital, Okayama, Japan
| | - Toshihiro Iguchi
- Department of Radiological Technology, Faculty of Health Sciences, Okayama University, Okayama, Japan
| | - Takayuki Matsuno
- Faculty of Natural Science and Technology, Okayama University, Okayama, Japan
| | - Takao Hiraki
- Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-Cho, Kita-Ku, Okayama, 700-8558, Japan
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Charalampopoulos G, Bale R, Filippiadis D, Odisio BC, Wood B, Solbiati L. Navigation and Robotics in Interventional Oncology: Current Status and Future Roadmap. Diagnostics (Basel) 2023; 14:98. [PMID: 38201407 PMCID: PMC10795729 DOI: 10.3390/diagnostics14010098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 12/26/2023] [Accepted: 12/30/2023] [Indexed: 01/12/2024] Open
Abstract
Interventional oncology (IO) is the field of Interventional Radiology that provides minimally invasive procedures under imaging guidance for the diagnosis and treatment of malignant tumors. Sophisticated devices can be utilized to increase standardization, accuracy, outcomes, and "repeatability" in performing percutaneous Interventional Oncology techniques. These technologies can reduce variability, reduce human error, and outperform human hand-to-eye coordination and spatial relations, thus potentially normalizing an otherwise broad diversity of IO techniques, impacting simulation, training, navigation, outcomes, and performance, as well as verification of desired minimum ablation margin or other measures of successful procedures. Stereotactic navigation and robotic systems may yield specific advantages, such as the potential to reduce procedure duration and ionizing radiation exposure during the procedure and, at the same time, increase accuracy. Enhanced accuracy, in turn, is linked to improved outcomes in many clinical scenarios. The present review focuses on the current role of percutaneous navigation systems and robotics in diagnostic and therapeutic Interventional Oncology procedures. The currently available alternatives are presented, including their potential impact on clinical practice as reflected in the peer-reviewed medical literature. A review of such data may inform wiser investment of time and resources toward the most impactful IR/IO applications of robotics and navigation to both standardize and address unmet clinical needs.
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Affiliation(s)
- Georgios Charalampopoulos
- 2nd Department of Radiology, University General Hospital “ATTIKON”, Medical School, National and Kapodistrian University of Athens, 1 Rimini Str, 12462 Athens, Greece;
| | - Reto Bale
- Interventional Oncology/Stereotaxy and Robotics, Department of Radiology, Medical University of Innsbruck, 6020 Innsbruck, Austria;
| | - Dimitrios Filippiadis
- 2nd Department of Radiology, University General Hospital “ATTIKON”, Medical School, National and Kapodistrian University of Athens, 1 Rimini Str, 12462 Athens, Greece;
| | - Bruno C. Odisio
- Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Bradford Wood
- Interventional Radiology and Center for Interventional Oncology, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Luigi Solbiati
- Department of Radiology, IRCCS Humanitas Research Hospital, Rozzano (Milano), Italy and Department of Biomedical Sciences, Humanitas University, Pieve Emanuele (Milano), 20072 Milano, Italy;
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Klein C, Cazalas G, Margue G, Piana G, DE Kerviler E, Gangi A, Puech P, Nedelcu C, Grange R, Buy X, Michiels C, Jegonday MA, Rouviere O, Grenier N, Marcelin C, Bernhard JC. Percutaneous tumor ablation versus image guided robotic-assisted partial nephrectomy for cT1b renal cell carcinoma: a comparative matched-pair analysis (UroCCR 80). Minerva Urol Nephrol 2023; 75:559-568. [PMID: 37728492 DOI: 10.23736/s2724-6051.23.05274-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
BACKGROUND Partial nephrectomy (PN) is the gold standard treatment for cT1b renal tumors. Percutaneous guided thermal ablation (TA) has proven oncologic efficacy with low morbidity for the treatment of small renal masses (<3 cm). Recently, 3D image-guided robot-assisted PN (3D-IGRAPN) has been described, and decreased perioperative morbidity compared to standard RAPN has been reported. Our objective was to compare two minimally invasive image-guided nephron-sparing procedures (TA vs. 3D-IGRAPN) for the treatment of cT1b renal cell carcinomas (4.1-7 cm). METHODS Patients treated with TA and 3D-IGRAPN for cT1b renal cell carcinoma, prospectively included in the UroCCR database (NCT03293563), were pair-matched for tumor size, pathology, and RENAL score. The primary endpoint was the local recurrence rate between the two groups. Secondary endpoints included metastatic evolution, perioperative complications, decrease in renal function, and length of hospitalization. RESULTS A total of 198 patients were included and matched into two groups of 72 patients. The local recurrence rate was significantly higher in the TA group than that in the 3D-IGRAPN group (4.2% vs. 15.2%, P=0.04). Metastatic evolution and perioperative outcomes such as major complications, eGFR decrease, and length of hospitalization did not differ significantly between the two groups. CONCLUSIONS 3D-IGRAPN resulted in a significantly lower local recurrence rate and comparable rates of complications and metastatic evolution compared with thermal ablation.
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Affiliation(s)
- Clément Klein
- Department of Urology, Bordeaux Pellegrin University Hospital, Bordeaux, France -
| | - Grégoire Cazalas
- Department of Radiology, Bordeaux Pellegrin University Hospital, Bordeaux, France
| | - Gaëlle Margue
- Department of Urology, Bordeaux Pellegrin University Hospital, Bordeaux, France
| | - Gilles Piana
- Department of Radiology, Paoli-Calmettes Institute, Marseille, France
| | | | - Afshin Gangi
- Department of Interventional Radiology, Strasbourg University Hospital, Strasbourg, France
| | - Phillipe Puech
- Department of Radiology, Lille University Hospital, Lille, France
| | - Cosmina Nedelcu
- Department of Radiology, Angers University Hospital, Angers, France
| | - Remi Grange
- Department of Radiology, Saint-Etienne University Hospital, Saint Etienne, France
| | - Xavier Buy
- Department of Interventional Radiology, Bergonié Institute, Bordeaux, France
| | - Clément Michiels
- Department of Urology, Bordeaux Pellegrin University Hospital, Bordeaux, France
| | | | | | - Nicolas Grenier
- Department of Radiology, Bordeaux Pellegrin University Hospital, Bordeaux, France
| | - Clément Marcelin
- Department of Radiology, Bordeaux Pellegrin University Hospital, Bordeaux, France
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Swikehardt M, Newsome J, Macey M, Park P, Vilvendhan R, Kamil A, Bercu Z, Flacke S. Percutaneous Robotics in Interventional Radiology. Tech Vasc Interv Radiol 2023; 26:100917. [PMID: 38071024 DOI: 10.1016/j.tvir.2023.100917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The accuracy of the robotic device not only relies on a reproducible needle advancement, but also on the possibility to correct target movement at chosen checkpoints and to deviate from a linear to a nonlinear trajectory. We report our experience in using the robotic device for the insertion of trocar needles in CT guided procedures. The majority of procedures were targeted organ biopsies in the chest abdomen or pelvis. The accuracy of needle placement after target adjustments did not significantly differ from those patients where a linear trajectory could be used. The steering capabilities of the robot allow correction of target movement of the fly.
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Affiliation(s)
- Michael Swikehardt
- Department of Radiology, Lahey Hospital and Medical Center, Tufts University Medical School, Burlington, MA
| | - Janice Newsome
- Division or Interventional Radiology and Image guided Medicine, Department of Radiology, Emory University School of Medicine, Atlanta, GA
| | - Matthew Macey
- Department of Radiology, Lahey Hospital and Medical Center, Tufts University Medical School, Burlington, MA
| | - Peter Park
- Division or Interventional Radiology and Image guided Medicine, Department of Radiology, Emory University School of Medicine, Atlanta, GA
| | - Rajendran Vilvendhan
- Department of Radiology, Lahey Hospital and Medical Center, Tufts University Medical School, Burlington, MA
| | - Arif Kamil
- Division or Interventional Radiology and Image guided Medicine, Department of Radiology, Emory University School of Medicine, Atlanta, GA
| | - Zachary Bercu
- Division or Interventional Radiology and Image guided Medicine, Department of Radiology, Emory University School of Medicine, Atlanta, GA
| | - Sebastian Flacke
- Department of Radiology, Lahey Hospital and Medical Center, Tufts University Medical School, Burlington, MA.
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