Robot‐assistant for MRI‐guided liver ablation: A pilot study

Franco, Enrico; Ristić, M.; Rea, Marc; Gedroyc, Wladyslaw

doi:10.1118/1.4961986

Cited by 24 publications

(22 citation statements)

References 33 publications

(53 reference statements)

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“…There are many advanced technologies which are developing in the department of radiology; most common among these are robotic imaging and wireless radiology. Few studies have mentioned the use of robot-assisted imaging modalities in many interventional procedures including use of robotics for the ultrasound-guided venipuncture, robot-assisted MRIguided liver ablation, and ultrasound-assisted robotic prostate brachytherapy [86][87][88]. Similarly, wireless imaging has been utilized in few settings such as the use of wireless x-ray output analyzer system, wireless transponder tracking system for ablative radiotherapy of the liver, and use of wireless intraoral coils for dental MRI [17,89,90].…”

Section: Modern Radiology Technologiesmentioning

confidence: 99%

Health Care–Associated Infections and the Radiology Department

Ilyas

Burbridge

Babyn

2019

Journal of Medical Imaging and Radiation Sciences

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Health care-associated infections (HCAIs) are a significant concern for both health care workers (HCWs) and patients. They are a major contributing factor of disease in industrialized countries, and are responsible for significant morbidity, mortality, and a direct annual financial loss of $6-7 billion in North America alone. They are an increasingly challenging health issue due to multidrug-resistant pathogens such as methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococci among others, along with an increasing number of susceptible patients. Over the last three decades, the risk of HCAIs has increased in the radiology department (RD) in part because of an increased number of patients visiting the department and an increase in the utilization of imaging modalities. In this review, we will discuss how patients and staff can be exposed to HCAIs in the RD, including contaminated inanimate surfaces, radiology equipment, and associated medical devices. As the role of medical imaging has extended from primarily diagnosis to include more interventions, the implementation and development of standardized infection minimization protocols and infection control procedures are vital in the RD, particularly in interventional radiology. With globalisation and the rapid movement of people regionally, nationally, and globally, there is greater risk of exposure to contagious diseases such as Ebola, especially if infected patients are undiagnosed when they travel. For effective infection control, advanced training and education of HCWs in the RD is essential.The purpose of this article is to provide an overview of HCAIs as related to activities of the RD. We will discuss the following major topics including the variety of HCAIs commonly encountered, the role of the RD in HCAIs, transmission of infections to patients and HCWs in the RD, standard infection prevention measures, and the management of susceptible/infected patients in the RD. We shall also examine the role of, and the preparedness of, HCWs, including RD technologists and interventional radiologists, who may be exposed to undiagnosed, yet infected patients. We shall conclude with a brief discussion of the role of further research related to HCAIs. Learning ObjectivesAfter the completion of this review article, the readers will Understand the exposure and role of radiology department in health care-associated infections, Know the causes/modes/transmission of infections in radiology department, Be conscious of standard disinfection protocols, Be aware of current and future strategies required for the effective control of health care-associated infection in the radiology department. This is a CME article and provides the equivalent of 2 hours of continuing education that may be applied to your professional development credit system. A 10-question multiple-choice quiz follows this reading. Please note that no formalized credit (category A) is available from CAMRT.

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Section: Modern Radiology Technologiesmentioning

confidence: 99%

Health Care–Associated Infections and the Radiology Department

Ilyas

Burbridge

Babyn

2019

Journal of Medical Imaging and Radiation Sciences

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“…Robot-assisted procedures were successfully completed on two patients. 77 The pilot study endorsed the clinical use of the robot as it was fully functional and was suitable for double-oblique needle insertions.…”

Section: Mri-guided General Surgery and Abdominal Intervention Robotsmentioning

confidence: 88%

“…More and more MRI-guided robotic systems are going through human clinical trials ranging from liver ablation 77 to breast biopsies. 69 Besides the demonstration of robot safety and functionality, robotic assistance has shown advantages and potential in terms of accuracy and procedure duration.…”

Section: Discussionmentioning

confidence: 99%

Sensors, Actuators, and Robots for Mri-Guided Surgery and Interventions

Fischer

2018

The Encyclopedia of Medical Robotics

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With the recent more widespread clinical use of interventional magnetic resonance imaging (MRI), MRI-compatible robotic systems have been heralded as a new approach to assist interventional procedures to allow physicians to treat patients more accurately and effectively. Deploying robotic systems inside MRI synergizes the imaging capability of MRI and the manipulation capability of robotic assistance, formulating the "closed-loop surgery" architecture that utilizes intra-operative imaging to adjust and control the interventional plan. However, MRI imposes unique challenges due to electromagnetic interference, material incompatibility, and confined space inside the MRI bore. This chapter introduces the advantages of MRI-guided surgery and challenges associated with being compatible with the MRI environment. It provides an overview of the state-ofthe-art in MRI-compatible sensors, actuators, and robotic systems with future perspectives by discussing the limitations, open questions, and challenges of the current research landscape.

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“…Most MRI‐guided needle insertion systems require confirmation MRI scan(s) to determine insertion depth as the systems rely on low‐resolution depth gauge or scale on the inserted needle. However, the proposed system monitors needle insertion with real‐time US imaging, synchronized MPR images, and the fused image helps determine needle depth, monitor tissues surrounding the needle path, and identify target organ shifts and needle deviations in real time.…”

Section: Discussionmentioning

confidence: 99%

Magnetic resonance and ultrasound image‐guided navigation system using a needle manipulator

et al. 2019

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Purpose Image guidance is crucial for percutaneous tumor ablations, enabling accurate needle‐like applicator placement into target tumors while avoiding tissues that are sensitive to injury and/or correcting needle deflection. Although ultrasound (US) is widely used for image guidance, magnetic resonance (MR) is preferable due to its superior soft tissue contrast. The objective of this study was to develop and evaluate an MR and US multi‐modal image‐guided navigation system with a needle manipulator to enable US‐guided applicator placement during MR imaging (MRI)‐guided percutaneous tumor ablation. Methods The MRI‐compatible needle manipulator with US probe was installed adjacent to a 3 Tesla MRI scanner patient table. Coordinate systems for the MR image, patient table, manipulator, and US probe were all registered using an optical tracking sensor. The patient was initially scanned in the MRI scanner bore for planning and then moved outside the bore for treatment. Needle insertion was guided by real‐time US imaging fused with the reformatted static MR image to enhance soft tissue contrast. Feasibility, targeting accuracy, and MR compatibility of the system were evaluated using a bovine liver and agar phantoms. Results Targeting error for 50 needle insertions was 1.6 ± 0.6 mm (mean ± standard deviation). The experiment confirmed that fused MR and US images provided real‐time needle localization against static MR images with soft tissue contrast. Conclusions The proposed MR and US multi‐modal image‐guided navigation system using a needle manipulator enabled accurate needle insertion by taking advantage of static MR and real‐time US images simultaneously. Real‐time visualization helped determine needle depth, tissue monitoring surrounding the needle path, target organ shifts, and needle deviation from the path.

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Robot‐assistant for MRI‐guided liver ablation: A pilot study

Cited by 24 publications

References 33 publications

Health Care–Associated Infections and the Radiology Department

Health Care–Associated Infections and the Radiology Department

Sensors, Actuators, and Robots for Mri-Guided Surgery and Interventions

Magnetic resonance and ultrasound image‐guided navigation system using a needle manipulator

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