Enhanced Laparoscopic Vision Improves Detection of Intraoperative Adverse Events During Laparoscopy

Trilling, Bertrand; Vijayan, Sinara; Goupil, Cécile; Kedisseh, E.; Letouzey, A.; Barraud, Pierre Alain; Faucheron, J.‐L.; Fiard, G.; Voros, Nikolaos S.

doi:10.1016/j.irbm.2020.12.001

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…In [ 6 ], a modified trocar with two miniature cameras was evaluated through animal experiments. Preliminary works have shown a reduction in operating time, in the number of commands of a robotic endoscope holder [ 7 ], and a faster reaction to adverse events [ 8 ] in a testbench environment. In [ 9 ], a trocar–camera assembly deployed four miniaturised cameras, increasing the FoV of a 10 mm endoscope by 51%.…”

Section: Introductionmentioning

confidence: 99%

Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy

et al. 2022

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Multi-camera systems were recently introduced into laparoscopy to increase the narrow field of view of the surgeon. The video streams are stitched together to create a panorama that is easier for the surgeon to comprehend. Multi-camera prototypes for laparoscopy use quite basic algorithms and have only been evaluated on simple laparoscopic scenarios. The more recent state-of-the-art algorithms, mainly designed for the smartphone industry, have not yet been evaluated in laparoscopic conditions. We developed a simulated environment to generate a dataset of multi-view images displaying a wide range of laparoscopic situations, which is adaptable to any multi-camera system. We evaluated classical and state-of-the-art image stitching techniques used in non-medical applications on this dataset, including one unsupervised deep learning approach. We show that classical techniques that use global homography fail to provide a clinically satisfactory rendering and that even the most recent techniques, despite providing high quality panorama images in non-medical situations, may suffer from poor alignment or severe distortions in simulated laparoscopic scenarios. We highlight the main advantages and flaws of each algorithm within a laparoscopic context, identify the main remaining challenges that are specific to laparoscopy, and propose methods to improve these approaches. We provide public access to the simulated environment and dataset.

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Section: Introductionmentioning

confidence: 99%

Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy

et al. 2022

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“…Augmented laparoscope solutions involve modifying existing laparoscope architectures with additional technology or devices, such as scanning prism assemblies 20 , 21 or panomorph lenses 22 , to expand the viewable area. Custom imaging trocars (CITs), like the Enhanced Laparoscopic Vision System 23 , 24 , feature cameras and lights that capture large FOVs to supplement or replace traditional laparoscopes. To facilitate insertion through the abdominal wall, most CITs exhibit mechanical mechanisms, such as sliding tacks or folding arms 23 – 28 , for remote intracorporeal deployment.…”

Section: Introductionmentioning

confidence: 99%

“…Custom imaging trocars (CITs), like the Enhanced Laparoscopic Vision System 23 , 24 , feature cameras and lights that capture large FOVs to supplement or replace traditional laparoscopes. To facilitate insertion through the abdominal wall, most CITs exhibit mechanical mechanisms, such as sliding tacks or folding arms 23 – 28 , for remote intracorporeal deployment. Intracorporeal vision networks (IVNs) are comprised of one 29 or more 30 – 33 stand-alone imaging devices that are mounted or placed inside the abdominal cavity.…”

Section: Introductionmentioning

confidence: 99%

A dual-view multi-resolution laparoscope for safer and more efficient minimally invasive surgery

Katz

Hua

Lee

et al. 2022

Sci Rep

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Minimally invasive surgery (MIS) is limited in safety and efficiency by the hand-held nature and narrow fields of view of traditional laparoscopes. A multi-resolution foveated laparoscope (MRFL) was invented to address these concerns. The MRFL is a stationary dual-view imaging device with optical panning and zooming capabilities. It is designed to simultaneously capture and display a zoomed view and supplemental wide view of the surgical field. Optical zooming and panning capabilities facilitate repositioning of the zoomed view without physically moving the system. Additional MRFL features designed to improve safety and efficiency include its snub-nosed endoscope, tool-tip auto tracking, programmable focus profiles, unique selectable display modalities, foot pedal controls, and independently controlled surgeon and assistant displays. An MRFL prototype was constructed to demonstrate and test these features. Testing of the prototype validates its design architecture and confirms the functionality of its features. The current MRFL prototype functions adequately as a proof of concept, but the system features and performance require further improvement to be practical for clinical use.

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“…The User Interface and the characteristics of the ELViS were developed on a test bench to identify the optimal configuration. A preliminary study describing bench experiments was recently published [15]. The results showed that an adverse event could be detected earlier when using ELViS.…”

Section: Introductionmentioning

confidence: 99%

Improving vision for surgeons during laparoscopy: the Enhanced Laparoscopic Vision System (ELViS)

et al. 2021

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Background: For many abdominal surgical interventions, laparotomy has gradually been replaced by laparoscopy, with numerous benefits for the patient in terms of post-operative recovery. However, during laparoscopy, the endoscope only provides a single viewpoint to the surgeon, leaving numerous blind-spots and opening the way to peri-operative adverse events. Alternative camera systems have been proposed, but many lack the requisite resolution/robustness for use during surgery or cannot provide real-time images. Here, we present the added value of the Enhanced Laparoscopic Vision System (ELViS) which overcomes these limitations and provides a broad view of the surgical field in addition to the usual high-resolution endoscope.Methods: Experienced laparoscopy surgeons performed several typical procedure steps on a live pig model. The time-to-completion for surgical exercises performed by conventional endoscopy and ELViSassisted surgery was measured. A debriefing interview following each operating session was conducted by an ergonomist, and a System Usability Scale (SUS) score was determined.Results: Proof of concept of ELVIS was achieved in an animal model with 7 expert surgeons without peroperative adverse events related to the surgical device. No differences were found in time-tocompletion. Mean SUS score was 74.7, classifying the usability of the ELViS as "good". During the debriefing interview, surgeons highlighted several situations where the ELViS provided a real advantage (such as during instrument insertion, exploration of the abdominal cavity or for orientation during close work), and also suggested avenues for improvement of the system.Conclusions: This first test of the ELViS prototype on a live animal model demonstrated its usability and provided promising and useful feedback for further development.

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Enhanced Laparoscopic Vision Improves Detection of Intraoperative Adverse Events During Laparoscopy

Cited by 4 publications

References 27 publications

Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy

Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy

A dual-view multi-resolution laparoscope for safer and more efficient minimally invasive surgery

Improving vision for surgeons during laparoscopy: the Enhanced Laparoscopic Vision System (ELViS)

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