Management of robotic bleeding complications

Novellis, Pierluigi; Jadoon, Mehmood; Cariboni, Umberto; Bottoni, Edoardo; Pardolesi, Alessandro; Veronesi, Giulia

doi:10.21037/acs.2019.02.03

Cited by 16 publications

(8 citation statements)

References 4 publications

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“…To validate our algorithm, we used 15 recorded videos of robotic surgery (5 for parameter identification and 10 for testing), obtained from online public sources, including the US National Library of Medicine 23 (the links to the videos are available upon request). The videos cover various human surgical procedures such as middle lobectomy, right upper lobectomy, thoracotomy, thoracoscopic lung surgery and prostatectomy.…”

Section: Methodsmentioning

confidence: 99%

“…Each video had an occurrence of arterial bleeding in the form of sputtering. The bleedings occurred due to different reasons such as cutting of the artery vessel by the surgeon, hitting the vessel with the tip of robotic hook, significant and inappropriate movement of surgical tools, and exerting extra force on vascular surfaces 23 . Although the reasons for the bleedings were not explained in all videos and could not be identified by inspection, it is still appropriate for our algorithm development with respect to bleeding detection and localization.…”

Section: Methodsmentioning

confidence: 99%

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An entropy‐based approach to detect and localize intraoperative bleeding during minimally invasive surgery

Rahbar

Reisner

Ying

et al. 2020

Robotics Computer Surgery

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Background: During minimally invasive surgery (either robotic or traditional laparoscopic), vascular injuries may occur because of inadvertent surgical tool movements or actions. These vascular injuries can lead to arterial or venous bleeding with varying degrees of severity that may be life-threatening. Materials and Methods: Given that a bloody spot is characterized by homogenous and uniform texture, our algorithm automatically scans the entire surgical video frame-by-frame using a local entropy filter to segment each image into different regions sequence. By comparing changes in entropy in the frames sequences, the algorithm detects the moment of bleeding occurrence and its pixel location. We preliminarily tested the algorithm using ten minimally invasive-surgery videos., each of which contains one surgical-tool-induced bleeding. Results: Our results show that the algorithm can detect bleeding within 0.635 s, on average, after their occurrences and locate the bleeding sources within, on average, 2.5% of discrepancy in pixels from their origins. Conclusion: In this study, we present a novel and promising local-entropy-based image processing algorithm that detects spurts of blood and locate their source in real-time.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

An entropy‐based approach to detect and localize intraoperative bleeding during minimally invasive surgery

Rahbar

Reisner

Ying

et al. 2020

Robotics Computer Surgery

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“…Regardless of approach, if continued bleeding occurs, active haemostatic agents can be useful [ 77 , 78 ]. Catastrophic bleeding from the pulmonary artery in RATS is an ever-present risk [ 79 ]. An integral component of surgeon and robotic team training is preparation for this rare but important complication.…”

Section: Specificities Of Thoracic and Robotic Surgerymentioning

confidence: 99%

Multidisciplinary paper on patient blood management in cardiothoracic surgery in the UK: perspectives on practice during COVID-19

Al‐Attar

Gaer

Giordano

et al. 2023

J Cardiothorac Surg

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The coronavirus (COVID-19) pandemic disrupted all surgical specialties significantly and exerted additional pressures on the overburdened United Kingdom (UK) National Health Service. Healthcare professionals in the UK have had to adapt their practice. In particular, surgeons have faced organisational and technical challenges treating patients who carried higher risks, were more urgent and could not wait for prehabilitation or optimisation before their intervention. Furthermore, there were implications for blood transfusion with uncertain patterns of demand, reductions in donations and loss of crucial staff because of sickness and public health restrictions. Previous guidelines have attempted to address the control of bleeding and its consequences after cardiothoracic surgery, but there have been no targeted recommendations in light of the recent COVID-19 challenges. In this context, and with a focus on the perioperative period, an expert multidisciplinary Task Force reviewed the impact of bleeding in cardiothoracic surgery, explored different aspects of patient blood management with a focus on the use of haemostats as adjuncts to conventional surgical techniques and proposed best practice recommendations in the UK.

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“…Bleeding can be as a result of minor or major vascular injury. 10 A minor injury may respond to packing with a rolled piece of gauze for several minutes and these bleeders may cease spontaneously. Thus, when dividing a vessel, it is also helpful to have the rolled piece of gauze (cigar) in the vicinity and in view to use to tamponade and control unexpected bleeding (Supplemental Video 2).…”

Section: Have a Well Laid Out Plan To Handle Unexpected Pulmonary Arterial Bleedingmentioning

confidence: 99%

10 Commandments of Robotic Lobectomy

Onwugbufor

Predina

Osho

et al. 2021

Innovations�(Phila)

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Management of robotic bleeding complications

Cited by 16 publications

References 4 publications

An entropy‐based approach to detect and localize intraoperative bleeding during minimally invasive surgery

An entropy‐based approach to detect and localize intraoperative bleeding during minimally invasive surgery

Multidisciplinary paper on patient blood management in cardiothoracic surgery in the UK: perspectives on practice during COVID-19

10 Commandments of Robotic Lobectomy

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