About this Research Topic
The field of robotics is becoming more important in the clinical sector due to the potential related to high accuracy and operator independence. Specifically, in oncology, it is essential to acquire a tissue sample of the suspected lesion at an early stage to confirm the cancer diagnosis. Imaging techniques such as MRI or ultrasound are often used for localization, and the physician inserts the needle manually in the conventional approach. Currently, it is challenging to target lesions that are small and not always visible, which influences diagnosis and subsequent treatment, therefore, robot-assisted biopsy introduces a stable hand to perform needle biopsies with great potential to other application areas.
This Research Topic aims to present cutting edge robotic solutions to boost the diagnosis and treatment of cancer. This includes the improvement of minimally invasive approaches such as the biopsy procedure by introducing robot assistance. There are many challenges involved in developing adequate solutions such as dependence on the visibility of the target, deformations related to tissue type, "real-time" readjustment of needle insertion trajectory and safety.
New approaches and advancements to localize and target lesions to acquire tissue samples using robotic assistance are being developed, including tissue modelling, registration, machine learning, but also ultrasound and MRI-assisted robotic approaches.
This Research Topic is open to papers detailing both theoretical and experimental results dealing with techniques for the actuation, sensor and control systems for robot-assisted biopsies. Innovative solutions and future perspectives on the use of robot-assisted biopsy approaches are included.
Topics of interest include, but are not limited to the following:
• Interventional robot-assisted approaches
• Biopsy robots including advancements in control, sensors, and actuation
• Recent developments of localisation and target lesions using robotic assistance
• Robot-assisted needle manipulators
Topic Editor Françoise J. Siepel has the following patent EP3504445, US16/326,442. Kim Mathiassen is affiliated with the Norwegian Defence Research Establishment and has licensed code to Mektron AS for interfacing sensors and ultrasonic devices for Universal Robots. All other Topic Editors declare no competing interests with regard to the Research Topic subject.
Keywords: Biopsy, imaging, robotics, oncology, radiology
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