Current and future practices in surgical retraction

Peter, Soben; Curran, Janette; Mountain, Rocky

doi:10.1016/j.surge.2013.06.004

Cited by 19 publications

(9 citation statements)

References 77 publications

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“…A significant portion of each MIS procedure is devoted to Tissue Retraction (TR), which is conducted to access the area of interest (e.g. tumour) [2]. Exposing the surgical area is therefore a crucial task in MIS, as surgeons rely mainly on visual information, given that tactile feedback is absent or extremely limited.…”

Section: Autonomous Tissue Retraction In Robotic Assisted Minimally Imentioning

confidence: 99%

“…Exposing the surgical area is therefore a crucial task in MIS, as surgeons rely mainly on visual information, given that tactile feedback is absent or extremely limited. This is especially problematic in urology, where access to the bladder and prostate is obstructed by bowels and connective tissue [2]. In this clinical practice, robotic MIS is nowadays a common approach, with platforms such as the DaVinci Surgical System (DVSS) from Intuitive Surgical widely used worldwide.…”

Section: Autonomous Tissue Retraction In Robotic Assisted Minimally Imentioning

confidence: 99%

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Autonomous Tissue Retraction in Robotic Assisted Minimally Invasive Surgery – A Feasibility Study

Attanasio

Scaglioni

Leonetti

et al. 2020

IEEE Robot. Autom. Lett.

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Section: Autonomous Tissue Retraction In Robotic Assisted Minimally Imentioning

confidence: 99%

Section: Autonomous Tissue Retraction In Robotic Assisted Minimally Imentioning

confidence: 99%

Autonomous Tissue Retraction in Robotic Assisted Minimally Invasive Surgery – A Feasibility Study

Attanasio

Scaglioni

Leonetti

et al. 2020

IEEE Robot. Autom. Lett.

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“…Tissue retraction (TR) is a recurring subtask carried out during a Minimally Invasive Surgery (MIS) that involves manipulating deformable connective tissues to access the region of interest such as a tumour and takes a significant time during each procedure [1]. Nowadays, MIS is commonly assisted via robotic platforms such as the DaVinci Surgical System (DVSS) that consist of several instruments.…”

Section: Introductionmentioning

confidence: 99%

Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery

Pore¹,

Corsi²,

Marchesini³

et al. 2021

Preprint

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Deep Reinforcement Learning (DRL) is a viable solution for automating repetitive surgical subtasks due to its ability to learn complex behaviours in a dynamic environment. This task automation could lead to reduced surgeon's cognitive workload, increased precision in critical aspects of the surgery, and fewer patient-related complications. However, current DRL methods do not guarantee any safety criteria as they maximise cumulative rewards without considering the risks associated with the actions performed. Due to this limitation, the application of DRL in the safety-critical paradigm of robot-assisted Minimally Invasive Surgery (MIS) has been constrained. In this work, we introduce a Safe-DRL framework that incorporates safety constraints for the automation of surgical subtasks via DRL training. We validate our approach in a virtual scene that replicates a tissue retraction task commonly occurring in multiple phases of an MIS. Furthermore, to evaluate the safe behaviour of the robotic arms, we formulate a formal verification tool for DRL methods that provides the probability of unsafe configurations. Our results indicate that a formal analysis guarantees safety with high confidence such that the robotic instruments operate within the safe workspace and avoid hazardous interaction with other anatomical structures.

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“…The majority of modern surgical lighting illuminates from an external source, a dissecting microscope, into a cavity or is mounted on a surgical instrument, such as retractors, endoscopes, orthoscopic tools, and suction tubes [1][2][3][4][5][6]. However, such conventional implements and instruments are unable to provide sufficient lighting during various surgical procedures.…”

Section: Introductionmentioning

confidence: 99%

A Soft, Biocompatible Magnetic Field Enabled Wireless Surgical Lighting Patty for Neurosurgery

et al. 2020

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General surgical procedures are subject to low-light conditions or a narrow angle of view, and such limitations in light limit visibility and complicate the given surgical procedure. Conventional lighted surgical tools rely on an external light source, which may be oriented into a cavity or mounted on a surgical instrument such as retractor, endoscopes, or suction tubes. However, such conventional lighted instruments do not provide adequate lighting during various surgical procedures. Here, we present a soft, miniaturized magnetic-enabled wireless surgical lighting patty. Specifically, the proposed surgical lighting patty that can be temporarily implanted into a cavity or surgical corridor provides lighting to the surgical subject and manages fluids in a surgical field. The surgical lighting patty is a multilayer patty, two outer layers of the lighted surgical patty and the center lighted layer. A reed switch in the central layer can activate the power supply in response to a magnet to emit the light from the light source. The result allows a dramatically simplified wireless operation. Moreover, it can provide various wavelengths of light to a surgical field for purposes such as illuminating the surgeon’s field of vision, exciting dyes, and sterilizing surgical fields.

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Current and future practices in surgical retraction

Cited by 19 publications

References 77 publications

Autonomous Tissue Retraction in Robotic Assisted Minimally Invasive Surgery – A Feasibility Study

Autonomous Tissue Retraction in Robotic Assisted Minimally Invasive Surgery – A Feasibility Study

Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery

A Soft, Biocompatible Magnetic Field Enabled Wireless Surgical Lighting Patty for Neurosurgery

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