Can Robots Accelerate the Learning Curve for Surgical Training? An Analysis of Residents and Medical Students

Surgical traineeship has traditionally been based on a master apprentice model where learning takes place in the operating theatre. This approach has changed over the past few years with greater emphasis on surgical training taking place within the surgical skills laboratory. We developed a high fidelity simulator, the Image-guided Robotic Assisted Surgical simulator (IRAS) with an incorporated robotic guidance feature. The robot system is developed to mimic the process of an experienced surgeon physically holding a trainee's hands to demonstrate maneuvering of the laparoscopic instruments. We aimed to assess the efficacy of incorporating robotic guidance into this high fidelity surgical simulator. Forty-two participants (13 surgical residents and 29 medical students) were recruited. Participants had one practice run for familiarisation and subsequently performed the virtual laparoscopic cholecystectomy (LC) once. Among the medical students, they were ransomised to either a control or intervention group. They were tasked to perform a second- and third-timed LC assessment. Participants were asked to rate the simulator using a 5-point Likert scale Questionnaire. IRAS rated favourably in hand-eye coordination and training bimanual dexterity (mean score: 4.1 and 4.0 among students, 3.4 and 3.4 among residents) though it faired suboptimally in realism. At baseline, residents were statistically faster compared to students (overall time: 418.9 vs 586.8 seconds,= 0.001). Participants randomised to the intervention group consistently scored better. However, their overall time were not statistically significant from the control group. The robotic guidance capability of the IRAS is a key advantage of this simulator platform over the conventional platform.

Long-Term Oncological Safety of Minimally Invasive Hepatectomy in Patients with Hepatocellular Carcinoma: A Case-Control Study

<p><b>INTRODUCTION</b>Minimally invasive hepatectomy (MIH) for patients with hepatocellular carcinoma (HCC) is technically challenging, especially with large posteriorly located tumours or background of liver cirrhosis. This is a case-control study comparing the long-term oncological safety of HCC patients who underwent MIH and open hepatectomy (OH). Most of these patients have liver cirrhosis compared to other studies.</p><p><b>MATERIALS AND METHODS</b>Sixty patients were divided into 2 groups, 30 underwent MIH and 30 underwent OH for HCC resection. The patients in both groups were matched for extent of tumour resection, age and cirrhosis status. Patient characteristics, risk factors of HCC and all oncological data were studied.</p><p><b>RESULTS</b>Negative resection margins were achieved in 97% of patients in both groups. The mean blood loss during surgery was significantly lower in the MIH group compared to the OH group (361 mL vs 740 mL; 95% CI, 222.2, 734.9; P = 0.04). Hospitalisation is significantly shorter in MIH group (7 days vs 11 days; 95% CI, 6.9, 12.2,; P = 0.04). Eight patients (27%) in the MIH group and 13 patients (43%) in the OH group developed HCC recurrence (P = 0.17). One, 3 and 5 years disease-free survival between MIH and OH groups are 76% vs 55%, 58% vs 47%, and 58% vs 39% respectively (P = 0.18). One, 3 and 5 years overall survival between MIH and OH groups are 93% vs 78%, 89% vs 70%, and 59% vs 65% respectively (P = 0.41).</p><p><b>CONCLUSION</b>MIH is a safe and feasible curative treatment option for HCC with similar oncological outcomes compared to OH. MIH can be safely performed to remove tumours larger than 5 cm, in cirrhotic liver, as well as centrally and posterior located tumours. In addition, MIH patients have significant shorter hospitalisation and intraoperative blood loss.</p>

Current technology in navigation and robotics for liver tumours ablation

Radiofrequecy ablation is the most widely used local ablative therapy for both primary and metastatic liver tumours. However, it has limited application in the treatment of large tumours (tumours >3cm) and multicentric tumours. In recent years, many strategies have been developed to extend the application of radiofrequency ablation to large tumours. A promising approach is to take advantage of the rapid advancement in imaging and robotic technologies to construct an integrated surgical navigation and medical robotic system. This paper presents a review of existing surgical navigation methods and medical robots. We also introduce our current developed model - Transcutaneous Robot-assisted Ablation-device Insertion Navigation System (TRAINS). The clinical viability of this prototyped integrated navigation and robotic system for large and multicentric tumors is demonstrated using animal experiments.