Biaxial sensing suture breakage warning system for robotic surgery

Dai, Yongheng; Abiri, Ahmad; Pensa, Jake; Liu, S; Paydar, Omeed; Sohn, Hyunmin; Sun, Songping; Pellionisz, P.; Pensa, Claudio; Dutson, Erik; Candler, Robert N.

doi:10.1007/s10544-018-0357-6

Cited by 17 publications

(17 citation statements)

References 24 publications

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“…In laparoscopic and robotic surgery, it has been noted that the lack of haptic feedback has become a growing issue due to the application of excessive force that may lead to clinical problems, such as intraoperative and postoperative suture breakage [ 11 ]. Latest sensing technology and haptic feedback systems that can reduce instances of suture failure without negatively impacting performance outcomes, including knot quality, are, therefore, under investigation [ 11 , 14 , 15 ].…”

Section: Discussionmentioning

confidence: 99%

Individualized Wound Closure—Mechanical Properties of Suture Materials

Polykandriotis

Daenicke

Bolat³

et al. 2022

JPM

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Wound closure is a key element of any procedure, especially aesthetic and reconstructive plastic surgery. Therefore, over the last decades, several devices have been developed in order to assist surgeons in achieving better results while saving valuable time. In this work, we give a concise review of the literature and present a biomechanical study of different suturing materials under mechanical load mimicking handling in the operating theatre. Nine different suture products, all of the same USP size (4-0), were subjected to a standardized crushing load by means of a needle holder. All materials were subjected to 0, 1, 3 and 5 crushing load cycles, respectively. The linear tensile strength was measured by means of a universal testing device. Attenuation of tensile strength was evaluated between materials and between crush cycles. In the pooled analysis, the linear tensile strength of the suture materials deteriorated significantly with every cycle (p < 0.0001). The suture materials displayed different initial tensile strengths (in descending order: polyglecaprone, polyglactin, polydioxanone, polyamid, polypropylene). In comparison, materials performed variably in terms of resistance to crush loading. The findings were statistically significant. The reconstructive surgeon has to be flexible and tailor wound closure techniques and materials to the individual patient, procedure and tissue demands; therefore, profound knowledge of the physical properties of the suture strands used is of paramount importance. The crushing load on suture materials during surgery can be detrimental for initial and long-term wound repair strength. As well as the standard wound closure methods (sutures, staples and adhesive strips), there are promising novel devices.

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Section: Discussionmentioning

confidence: 99%

Individualized Wound Closure—Mechanical Properties of Suture Materials

Polykandriotis

Daenicke

Bolat³

et al. 2022

JPM

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“…Thus, enabling telerobotic surgical systems with force sensing and force reflecting modules is of high importance, which increases the quality of teleoperated surgery (Talasaz and Patel, 2013;Talasaz et al, 2017). A machine learning algorithm has been deployed to estimate the elongation of suture from knot type, initial suture length, and surgical thread type data, and visual feedback has been used to warn the surgeon of the risk of suture breakage (Dai et al, 2019). In particular, considering a larger number of surgeries that can benefit from teleoperated procedures using robots, during the era of COVID, addressing this challenge should be accelerated.…”

Section: Robotics-assisted Surgerymentioning

confidence: 99%

Robotics and AI for Teleoperation, Tele-Assessment, and Tele-Training for Surgery in the Era of COVID-19: Existing Challenges, and Future Vision

et al. 2021

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The unprecedented shock caused by the COVID-19 pandemic has severely influenced the delivery of regular healthcare services. Most non-urgent medical activities, including elective surgeries, have been paused to mitigate the risk of infection and to dedicate medical resources to managing the pandemic. In this regard, not only surgeries are substantially influenced, but also pre- and post-operative assessment of patients and training for surgical procedures have been significantly impacted due to the pandemic. Many countries are planning a phased reopening, which includes the resumption of some surgical procedures. However, it is not clear how the reopening safe-practice guidelines will impact the quality of healthcare delivery. This perspective article evaluates the use of robotics and AI in 1) robotics-assisted surgery, 2) tele-examination of patients for pre- and post-surgery, and 3) tele-training for surgical procedures. Surgeons interact with a large number of staff and patients on a daily basis. Thus, the risk of infection transmission between them raises concerns. In addition, pre- and post-operative assessment also raises concerns about increasing the risk of disease transmission, in particular, since many patients may have other underlying conditions, which can increase their chances of mortality due to the virus. The pandemic has also limited the time and access that trainee surgeons have for training in the OR and/or in the presence of an expert. In this article, we describe existing challenges and possible solutions and suggest future research directions that may be relevant for robotics and AI in addressing the three tasks mentioned above.

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“…Nevertheless, the lack of tactile feedback might impair surgical outcomes, leading to suture breakage or failure. Dai et al evaluated a biaxial haptic feedback system that effectively warns the user when the tension is approaching the suture's failure point (49). Similarly, in 2016, Shademan et al proved the feasibility of autonomous surgery, evaluating a supervised system compared to robotic, laparoscopic, and manual approach, when performing an intestinal anastomosis (50).…”

Section: Surgical Performance and Planningmentioning

confidence: 99%

Artificial intelligence in thoracic surgery: a narrative review

Valente¹,

Río²,

Bignami³

2021

J Thorac Dis

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The aim of this article is to review the current applications of artificial intelligence in thoracic surgery, from diagnosis and pulmonary disease management, to preoperative risk-assessment, surgical planning, and outcomes prediction. Background: Artificial intelligence implementation in healthcare settings is rapidly growing, though its widespread use in clinical practice is still limited. The employment of machine learning algorithms in thoracic surgery is wide-ranging, including all steps of the clinical pathway. Methods: We performed a narrative review of the literature on Scopus, PubMed and Cochrane databases, including all the relevant studies published in the last ten years, until March 2021. Conclusion:Machine learning methods are promising encouraging results throughout the key issues of thoracic surgery, both clinical, organizational, and educational. Artificial intelligence-based technologies showed remarkable efficacy to improve the perioperative evaluation of the patient, to assist the decisionmaking process, to enhance the surgical performance, and to optimize the operating room scheduling. Still, some concern remains about data supply, protection, and transparency, thus further studies and specific consensus guidelines are needed to validate these technologies for daily common practice.

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Biaxial sensing suture breakage warning system for robotic surgery

Cited by 17 publications

References 24 publications

Individualized Wound Closure—Mechanical Properties of Suture Materials

Individualized Wound Closure—Mechanical Properties of Suture Materials

Robotics and AI for Teleoperation, Tele-Assessment, and Tele-Training for Surgery in the Era of COVID-19: Existing Challenges, and Future Vision

Artificial intelligence in thoracic surgery: a narrative review

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