OBJECTIVE: To compare robotic-assisted laparoscopy (RAL) and laparoscopy (LPS) for intraoperative and postoperative outcomes, and functional results after a 6-month follow-up period among patients having undergone excision of deep endometriosis (DE) involving the sacral plexus (SP) and sciatic nerve (SN).
METHODS: A retrospective analysis of 100 patients included in our prospective database, who underwent surgical eradication of DE involving the SP and SN at our tertiary referral centre between September 2018 and June 2023. Patients were managed by LPS (n = 71) until 2021, and subsequently by RAL (n = 29).
RESULTS: Baseline symptoms and distribution of DE lesions were comparable in the two groups. Nerve dissection, nerve shaving, and intra-nerve dissection were performed in 55 (77.5%), 14 (19.7%), and 2 (5.6%) patients in the LPS group, respectively. Nerve dissection and nerve shaving were performed and in 24 (82.8%) and 5 (17.2%) patients in the RAL group, while no cases of intra-nerve dissection were observed (P = 0.434). Mean operative times were 183.71 ± 85.32 min and 177.41 ± 77.19 min, respectively (P = 0.734). There were no reported cases of conversion to open surgery. Intraoperative and early postoperative complications were comparable between the two groups. At 6 months follow up, we observed a significant reduction in sciatic pain in both the LPS group (39.1% vs 15.6%, P < 0.001) and RAL group (37.5% vs 25%, P = 0.001), with no differences in terms of outcomes (P = 0.1).
CONCLUSIONS: Both LPS and RAL result in significant long-term relief of symptoms associated with SP and SN endometriosis. Although surgeons found that RAL improved the quality of excision of these specific DE localizations, our study did not reveal significant advantages in terms of its outcomes.

BACKGROUND: The purpose of this study was to compare one-year patient reported outcome measures between a novel fluoroscopy-based robotic-assisted (FL-RTHA) system and an existing computerised tomography-based robotic assisted (CT-RTHA) system.
METHODS: A review of 85 consecutive FL-RTHA and 125 consecutive CT-RTHA was conducted. Outcomes included one-year post-operative Veterans RAND-12 (VR-12) Physical (PCS)/Mental (MCS), Hip Disability and Osteoarthritis Outcome (HOOS) Pain/Physical Function (PS)/Joint replacement, and University of California Los Angeles (UCLA) Activity scores.
RESULTS: The FL-RTHA cohort had lower pre-operative VR-12 PCS, HOOS Pain, HOOS-PS, HOOS-JR, and UCLA Activity scores compared with patients in the CT-RTHA cohort. The FL-RTHA cohort reported greater improvements in HOOS-PS scores (-41.54 vs. -36.55; p = 0.028) than the CT-RTHA cohort. Both cohorts experienced similar rates of major post-operative complications, and had similar radiographic outcomes.
CONCLUSIONS: Use of the fluoroscopy-based robotic system resulted in greater improvements in HOOS-PS in one-year relative to the CT-based robotic technique.

OBJECTIVE: Predictive models help determine predictive factors necessary to improve functional outcomes after total knee arthroplasty (TKA). However, no study has assessed predictive models for functional outcomes after TKA based on the new concepts of personalised surgery and new technologies. This study aimed to develop and evaluate predictive modelling approaches to predict the achievement of minimal clinically important difference (MCID) in patient-reported outcome measures (PROMs) 1 year after TKA.
METHODS: Four hundred thirty robotic-assisted TKAs were analysed in this retrospective study. The mean age was 67.9 ± 7.9 years; the mean body mass index (BMI) was 32.0 ± 6.8 kg/m2. The following PROMs were collected preoperatively and 1-year postoperatively: knee injury and osteoarthritis outcome score for joint replacement, Western Ontario and McMaster Universities osteoarthritis index (WOMAC) Function, WOMAC Pain. Demographic data, preoperative CT scan, implant size, implant position on the robotic system and characteristics of the joint replacement procedure were selected as predictive variables. Four machine learning algorithms were trained to predict the MCID status at 1-year post-TKA for each PROM survey. \'No MCID\' was chosen as the target. Models were evaluated by class discrimination (F1-score) and area under the receiver operating characteristic curve (ROC-AUC).
RESULTS: The best-performing model was ridge logistic regression for WOMAC Function (area under the curve [AUC]  = 0.80, F1 = 0.48, sensitivity = 0.79, specificity = 0.62). Variables most strongly contributing to not achieving MCID status were preoperative PROMs, high BMI and femoral resection depth (posterior and distal), supporting functional positioning principles. Conversely, variables contributing to a positive outcome (achieving MCID) were medial/lateral alignment of the tibial component, whether the procedure was an outpatient surgery and whether the patient received managed Medicare insurance.
CONCLUSIONS: The most predictive variables included preoperative PROMs, BMI and surgical planning. The surgical predictive variables were valgus femoral alignment and femoral rotation, reflecting the benefits of personalised surgery. Including surgical variables in predictive models for functional outcomes after TKA should guide clinical and surgical decision-making for every patient.
METHODS: Level III.

With an increase in robot-assisted surgery across all specialties, adequate training and credentialing strategies need to be identified to ensure patients safety. The meta-analysis assesses the transferability of technical surgical skills between laparoscopic surgery, open surgery, and robot-assisted surgery.
A systematic search was conducted in Medline, Cochrane Central Register of Controlled Trials, and Web of Science. Outcomes were categorized into time, process, product, and composite outcome measures and pooled separately using Hedges\'g (standardized mean difference [SMD]). Subgroup analyses were performed to assess the effect of study design, virtual reality platforms and task difficulty.
Out of 14,120 screened studies, 30 were included in the qualitative synthesis and 26 in the quantitative synthesis. Technical surgical skill transfer was demonstrated from laparoscopic to robot-assisted surgery (composite: SMD 0.40, 95%-confidence interval [CI] [0.19; 0.62], time: SMD 0.62, CI [0.33; 0.91]) and vice versa (composite: SMD 0.66, CI [0.33; 0.99], time [basic skills]: SMD 0.36, CI [0.01; 0.72]). No skill transfer was seen from open to robot-assisted surgery with limited available data.
Technical surgical skills can be transferred from laparoscopic to robot-assisted surgery and vice versa. Robot-assisted and laparoscopic surgical skills training and credentialing should not be regarded separately, but a reasonable combination could shorten overall training times and increase efficiency. Previous experience in open surgery should not be considered as an imperative prerequisite for training in robot-assisted surgery. Recommendations for studies assessing skill transfer are proposed to increase comparability and significance of future studies.
PROSPERO CRD42018104507.

BACKGROUND: In Total Hip replacement (THR) surgery, a critical step is to cut an accurate hemisphere into the acetabulum so that the component can be fitted accurately and obtain early stability. This study aims to determine whether burring rather than reaming the acetabulum can achieve greater accuracy in the creation of this hemisphere.
METHODS: A preliminary robotic system was developed to demonstrate the feasibility of burring the acetabulum using the Universal Robot (UR10). The study will describe mechanical design, robot trajectory optimisation, control algorithm development, and results from phantom experiments compared with both robotic reaming and conventional reaming. The system was also tested in a cadaver experiment.
RESULTS: The proposed robotic burring system can produce a surface in 2 min with an average error of 0.1 and 0.18 mm, when cutting polyurethane bone block #15 and #30, respectively. The performance was better than robotic reaming and conventional hand reaming.
CONCLUSIONS: The proposed robotic burring system outperformed robotic and conventional reaming methods to produce an accurate acetabular cavity. The findings show the potential usage of a robotic-assisted burring in THR for acetabular preparation.

The da Vinci single-port system (SPS) (Intuitive Surgical, Sunnyvale, CA, USA) was designed for single-port (SP) surgery. Although we have reported our clinical outcomes using the SPS for a simple procedure in general thoracic surgery, major pulmonary resection had been performed only in cadaveric experiments to date. This study evaluated the feasibility of SP subcostal robotic major pulmonary resection using the SPS. Here, we present our initial clinical experience of SP subcostal robotic major pulmonary resection at our institution.
Twenty-five patients with lung cancer underwent SP major subcostal pulmonary resection using the SPS between March and November 2022. Patient characteristics, intraoperative and perioperative outcomes were assessed. Questionnaires were used to evaluate patient satisfaction with the cosmetic results and quality of life through face-to-face or telephone interviews on postoperative day 30.
All patients underwent major pulmonary resection with complete radical resection (R0). Nineteen patients underwent lobectomy, whereas six patients underwent segmentectomy. The mean docking time and total operative time were 4.16 ± 1.19 min (range, 2.3-7.8 min) and 197.6 ± 55.33 min (range, 130-313 min), respectively. No patients underwent conversion to open thoracotomy. One patient required an additional assistant port due to severe pleural adhesions.
SP subcostal robotic major pulmonary resection using the SPS is feasible and safe. With the continuous development of robotic technology and surgical techniques, we believe that more complex general thoracic surgeries will be performed in the future using SPS.

OBJECTIVE: The purpose of this study is to evaluate the in vivo medial and lateral joint laxities across various total knee arthroplasty (TKA) alignment categories correlated to (1) hip-knee-ankle angle, (2) proximal tibial angle and (3) distal femoral angle in a consecutive group of patients undergoing robotic-assisted TKA.
METHODS: Using ligament tensions acquired during 805 robotic-assisted TKA with a dynamic ligament tensor under a load of 70-90 N, the relationship between medial and lateral collateral ligament laxity and overall limb alignment was established. Only knees with neutral or mechanical varus alignment were included and divided into five groups: neutral (0°-3°), varus 3°-5°, varus 6°-9°, varus 10°-13° and varus ≥14°. Groups were further subdivided by the intraoperative medial proximal tibial angle (MPTA) and lateral distal femoral angle (LDFA). The distraction of the medial and lateral sides was compared across the various alignments using an analysis of variance.
RESULTS: The ability to distract the medial collateral ligament in extension and flexion was proportional to the degree of varus deformity, increasing from 4.0 ± 2.3 mm in the neutral group to 8.7 ± 3.2 mm in the varus ≥14° group (p < 0.0001). On the lateral side, the distraction of the lateral collateral ligament decreased in both extension (2.2 ± 2.4 vs. 1.2 ± 2.7, p < 0.0001) and flexion (2.8 ± 2.8 to 1.7 ± 3.0, p < 0.0001) with increasing native varus deformity. MPTA and LDFA had similar effects, where increasing MPTA varus and LDFA valgus increased medial distractibility in extension and flexion. There was significant variability of the stretch of the ligaments within and across all alignment categories, in which the standard deviation of the groups ranged from 2.0 to 3.0 mm.
CONCLUSIONS: This study demonstrates increased medial ligament distractibility with increasing varus deformity. However, there was significant variability in ligamentous laxity within various limb alignment categories suggesting the anatomy and soft tissue identity of the knee is complex and highly variable. TKAs seeking to be more anatomic will not only need to restore alignment but also native soft tissue tensions.
METHODS: Level III, prognostic.

OBJECTIVE: To evaluate the safety and feasibility of the new surgical robot HUGO robotic assisted surgery (RAS) in a series of gynecologic surgical procedures.
METHODS: Between March and October 2022, 138 patients treated at Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy were enrolled in the study. All patients suitable for a minimally-invasive approach were prospectively included and divided into two groups: Group 1 (78 patients) made up of patients operated on for uterine and/or adnexal pathologies, and Group 2 (60 patients) made up of patients treated for pelvic organ prolapse.
RESULTS: In Group 1, median docking time (DT) was 5 min and median console time (CT) was 90 min. In two patients (2.6%) redocking was necessary. In two patients (2.6%), the surgeon continued the surgery laparoscopically. Intraoperative complications occurred in two surgeries (2.6%). In Group 2, median DT was 4 min and median CT was 134.5 min. In three patients (5%), redocking was necessary. In all patients, the surgery was successfully completed robotically without intraoperative complications.
CONCLUSIONS: The present study demonstrates that the new HUGO RAS system for gynecologic surgery is safe with good results in terms of surgical efficacy and perioperative outcomes. Further studies are needed to investigate its use in other technical and surgical aspects.

UNASSIGNED: The increasing popularity of robotic assisted surgery (RAS) as it is implemented in to sub specialities poses many challenges to ensuring standards in quality and safety. The area of Reconstructive and Functional Urology (RFU) has a wide range and largely complex heterogeneous procedures. In recent years RFU has started to incorporate RAS as the primary method to undertake these procedures due to improved vision, dexterity, and access to deep cavities. To ensure patient safety majority of institutions maintain minimal requirements to operate using RAS however across specialities and institutions these greatly vary.
UNASSIGNED: A narrative review of all the relevant papers known to the author was conducted.
UNASSIGNED: Specific challenges facing RFU is the inability to rely on case numbers as a surrogate means to measure competency as well the ongoing consideration of how to differentiate between surgeons with robotic training and those with the clinical experience specific to RFU.
UNASSIGNED: This review explores current models of training and credentialling and assess how it can be adapted to suggest a standardised guideline for RFU to ensure the highest standards of patient care.