Use of a novel multi-purpose sponge for laparoscopic surgery: Does it have special relevance to robotically-assisted laparoscopic surgery?

BACKGROUND: The STAR System (Ekymed SpA) is a novel multipurpose sponge developed for conventional manual laparoscopic surgery. MATERIALS AND METHODS: Between December 2012 and December 2014, we successfully used the sponge in ten robot-assisted and ten direct manual laparoscopic operations to achieve haemostasis, for blunt dissections, for atraumatic lifting of solid organs, to check for bile leaks, for cleaning the surgical field thus avoiding frequent use of suction or the application of haemostatic agents. The reason of the insertion (RI), the main use (MU) and any further use (FU), once inserted, were registered for each operation and compared between the two groups. RESULTS: The principal RI was haemostasis for minor bleeding, without differences between the two groups (P = not significant). Regard to MU, in the robotic group cleaning the surgical field was utilised more than laparoscopic group (100% vs. 60%; P = 0.03). About FU, atraumatic solid organs lifting was more frequent during robotically assisted surgery than with laparoscopy (50% vs. 0%; P = 0.01). A statistically more frequent use of the sponge was registered during standard laparoscopy for the blunt dissection (30% vs. 80%; P = 0.03). CONCLUSIONS: The STAR System was beneficial in both approaches, but it imparts added benefit during robotically-assisted laparoscopic surgery organs because of the lack of tactile feedback and because the operating surgeon is remote from the patient, and has to rely on the assisting surgeon in the sterile field for dealing with bleeding episodes, cleansing/mopping the operative field when necessary, who may not be experienced or completely proficient.

Proficiency assessment of gesture analysis in laparoscopy by means of the surgeon's musculo-skeleton model.

OBJECTIVE: This article presents the implementation of surgeon's musculo-skeletal model for gesture analysis in laparoscopy, thereby providing a complete account of the objective metrics needed to evaluate surgical performance and to improve the design of new surgical instruments including robotic instrumentation for surgical procedures. BACKGROUND: Previous published work has been based exclusively on the kinematics involved whereas, this study is focused on the dynamics and muscle contraction analysis to assess loads on bones and muscle fatigue during simulation of surgical interventions. METHODS: Nine medical students and 2 fully trained surgeons participated in the experimental sessions using a virtual laparoscopic simulator. Movement was acquired by means of an Optical Localization System and processed by means of the biomechanical software platform ADAMS-LifeMOD. RESULTS: The musculo-skeletal analysis allows calculation of how the muscles are used and their respective mean work during the exercises. Results, relative to biceps and trapezius for left and right arm, clearly demonstrate different proficiencies between surgeons and medical students and highlight differences in using different surgical instruments and assumption of different postures. CONCLUSIONS: The model provides data on the evaluation of biomechanical parameters of surgical gesture not only in kinematic terms but also includes analysis of the dynamics of muscle contraction analysis during surgical manipulations.

A 3-D mixed-reality system for stereoscopic visualization of medical dataset.

We developed a simple, light, and cheap 3-D visualization device based on mixed reality that can be used by physicians to see preoperative radiological exams in a natural way. The system allows the user to see stereoscopic "augmented images," which are created by mixing 3-D virtual models of anatomies obtained by processing preoperative volumetric radiological images (computed tomography or MRI) with real patient live images, grabbed by means of cameras. The interface of the system consists of a head-mounted display equipped with two high-definition cameras. Cameras are mounted in correspondence of the user's eyes and allow one to grab live images of the patient with the same point of view of the user. The system does not use any external tracker to detect movements of the user or the patient. The movements of the user's head and the alignment of virtual patient with the real one are done using machine vision methods applied on pairs of live images. Experimental results, concerning frame rate and alignment precision between virtual and real patient, demonstrate that machine vision methods used for localization are appropriate for the specific application and that systems based on stereoscopic mixed reality are feasible and can be proficiently adopted in clinical practice.

EndoCAS navigator platform: a common platform for computer and robotic assistance in minimally invasive surgery.

BACKGROUND: Computer-assisted surgery (CAS) systems are currently used in only a few surgical specialties: ear, nose and throat (ENT), neurosurgery and orthopaedics. Almost all of these systems have been developed as dedicated platforms and work on rigid anatomical structures. The development of augmented reality systems for intra-abdominal organs remains problematic because of the anatomical complexity of the human peritoneal cavity and especially because of the deformability of its organs. The aim of the present work was to develop and implement a highly modular platform (targeted for minimally invasive laparoscopic surgery) generally suitable for CAS, and to produce a prototype for demonstration of its potential clinical application and use in laparoscopic surgery. METHODS: In this paper we outline details of a platform integrating several aspects of CAS and medical robotics into a modular open architecture: the EndoCAS navigator platform, which integrates all the functionalities necessary for provision of computer-based assistance to surgeons during all the management phases (diagnostic work-up, planning and intervention). A specific application for computer-assisted laparoscopic procedures has been developed on the basic modules of the platform. The system provides capabilities for three-dimensional (3D) surface model generation, 3D visualization, intra-operative registration, surgical guidance and robotic assistance during laparoscopic surgery. The description of specific modules and an account of the initial clinical experience with the system are reported. RESULTS: We developed a common platform for computer assisted surgery and implemented a system for intraoperative laparoscopic navigation. The preliminary clinical trials and feedback from the surgeons on its use in laparoscopic surgery have been positive, although experience has been limited to date. CONCLUSIONS: We have successfully developed a system for computer-assisted technologies for use in laparoscopic surgery and demonstrated, by early clinical trials, that the introduction of these technologies in operative laparoscopy, even though they are not yet sufficiently accurate (from an engineering viewpoint) for surgical treatment of intra-abdominal disease, brings added benefits to the execution of interventions by surgeons and hence represents concrete on-going progress in interventional technology.