Background: The application of robotic staplers in surgeries has increased in recent years. Robotic platform enhances ability of the surgeon to directly control and manoeuvre staplers to achieve required angulation and sealing within the confines of the thorax and pelvis. Hence, in this study, we intended to learn the effectiveness of the SureForm™ SmartFire™ technology stapling system in various oncological procedures. Patients and Methods: Prospective study of 76 patients who underwent robotic-assisted total oesophagectomy, gastrectomies, hemicolectomies, low anterior resection/abdominoperineal resection and lobectomies/metastasectomy for respective malignancies for 16 months. Internal data log of the da Vinci surgical system for reload colour, reloads used, clamp attempts and staple fires used during each procedure along with patient’s post-operative outcomes were recorded. Results: One hundred and sixty-four firings have been made in 76 cases, with the majority being green reloads (76.8%) and average reloads for radical cystectomy 3.5, lobectomies/metastasectomy 3.44 and oesophagectomy 2.55. None of the cases had incomplete firings and required force-fire activation. In forty per cent of cases, the robotic stapler had to pause for sequential compression and seal. Seventy per cent of anterior resection procedures had at least one firing >45° beyond the laparoscopy limit. Collectively 52% SureForm stapler fires in anterior resection with >45° angle of fire. None of the cases had bleed or leak. Conclusion: SureForm™ SmartFire™ robotic staplers can be used for various oncological surgeries with minimal peri-operative leak and bleeding and has better articulation in closed spaces. Further case-matched comparative studies with laparoscopic or handheld powered staplers would be required for useful operative decision-making and analyse the clinical outcomes.
Background: Minimally invasive surgery in rectal cancer has gained prominence owing to its various advantages in surgical outcomes. Due to rapid adoption of robotics in rectal surgery, we intended to assess the pace in which surgeons gain proficiency using cumulative summation (CUSUM) technique in learning curve. Materials and Methods: This was a prospective study of 262 rectal cancer cases who underwent robotic-assisted low anterior resection and abdominoperineal resection (RA-LAR and RA-APR). Parameters considered for the study were console time, docking time, lymph nodal yield, total operative time and post-operative outcomes. We used Manipal technique of port placements and modified centroside docking for the procedure. Results: The mean age of our study was 46.62 ± 5.7 years, the mean body mass index (BMI) was 31.51 ± 3.2 kg/m2. 215 (82.06%) underwent RA-LAR and 47 (17.93%) underwent RA-APR. 2.67% of cases required to open during our initial period. We had three phases of learning curve, initial phase (11th case), plateau phase (29th case) and then phases of mastery (30th case onwards). Our mean total operative time reduced from 5.5 to 3.5 h (210 ± 8.2 min), console time from 4.5 to 2.9 h (174 ± 4.5 min) and docking time from 15 to 9 ± 1 min from 30th case onwards. Conclusion: RA surgeries for rectal cancer have got good oncological and functional outcomes in high BMI, male pelvis and low rectal cancers. Learning curve can be shortened with constant self-auditing of the surgeon and team with each surgeries performed, reviewing the steps and by improving techniques.
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