Journal of Robotic Surgery最新文献

Background: The development of Artificial Intelligence (AI) is one of the most revolutionary changes in modern history. The combination of AI and Robotic surgery can be used positively for better patient outcomes.

Methods and results: We aimed to conduct a review of AI and its role in robotic radical prostatectomy in modern day surgical practice. We conducted a literature review on this topic with specific discussion about whether the surgeon can be replaced by robots with AI capabilities based on latest studies available in the literature. We have presented a comprehensive overview of AI in robotic surgery.

Conclusion: We conclude that AI capabilities are to assist the surgeon and the team to improve patient outcomes. Robots cannot replace the surgeon in the near future. Robots with AI capabilities can be only used as an adjuvant to complement the surgical team and not replace them.

This study aimed to assess the safety and feasibility of the Robocare nursing model in patients undergoing da Vinci robot-assisted radical gastrectomy for gastric cancer. A total of 68 patients who underwent da Vinci robot-assisted radical gastrectomy for gastric cancer in our department from January 2022 to June 2022 were enrolled in this study and were assigned to a control group (n = 34) and an intervention group (n = 34). The control group received standard perioperative nursing care, while the intervention group received the Robocare model along with standard care. We compared the differences in postoperative hospital stay length, the incidence of postoperative complications, readmission rates within one month after discharge, and satisfaction with nursing care between the two groups. Compared to the control group, patients in the intervention group exhibited a significantly shorter postoperative hospital stay (mean 8.94 days vs. 9.76 days, P < 0.05) without an increase in the incidence of postoperative complications (26.5% vs. 29.4%, P > 0.05). In addition, there was no significant difference in readmission rates within 1 month after discharge between the two groups (14.7% vs. 5.9%, P > 0.05). Patient satisfaction was significantly higher in the intervention group compared to the control group (96.34% vs. 91.96%, P < 0.05). The implementation of the Robocare nursing model for patients undergoing da Vinci robot-assisted radical gastrectomy for gastric cancer may reduce the length of postoperative hospital stays without increasing the incidence of postoperative complications, while also enhancing patient satisfaction with nursing care.

Nissen fundoplication (NF) is a common surgical procedure to treat gastroesophageal reflux disease; however, a subset of patients may continue to experience symptoms or develop symptom recurrence despite a successful procedure. This study aims to compare laparoscopic and robotic approaches for treating failed NF and evaluate the outcomes after converting to Toupet fundoplication (TF). We conducted a retrospective analysis of patients who underwent robotic or laparoscopic revision to TF for failed NF between 2016 and 2023. The data collected included demographics, pre-operative workup, and peri- and post-operative outcomes. Symptom analysis and anti-reflux medication usage were collected using a patient questionnaire. Failed fundoplication was defined as the need for an additional operation due to unresolved GERD symptoms or the emergence of a new issue. Eighty-eight patients (56 laparoscopic, 32 robotic) were included. Mean operative time was 148.71 ± 53.64 min for the total cohort and was significantly longer in the robotic group (RG) 167.43 min vs 138.01 min in the Laparoscopic group (LG) (p value = 0.012). The LG had a length of hospital stay of 2.16 ± 1.69 days vs RG 2.21 ± 1.28 days (p value = 0.867). The LG had a higher number of early readmissions (5.4%, p value = 0.629) and both the LG and the RG had 1 patient that required an early reintervention. Symptoms of dysphagia and reflux decreased in both groups at last follow-up, but the reduction in PPI use was not significant. Surgical revision to TF for failed NF provides significant symptom improvement with low rates of complications and recurrences. Our study shows that both approaches are safe and feasible and have comparable surgical and symptom outcomes.

The robotic surgeon is at risk of visual fatigue from prolonged viewing of the video display resulting in digital eye strain and use of the three-dimensional binoculars resulting in accommodative stress. Symptoms of digital eye strain include blurred vision, dry eyes, eyestrain, neck and back ache, diplopia, light sensitivity, and headaches. Vergence or accommodation-related symptoms include blurred near or distance vision, difficulty refocusing, and diplopia. Beneficial ergonomic interventions to manage digital eye strain during robotic surgery include appropriate lighting, improved neck positioning, optimal screen positioning, improved image parameters, screen breaks, optimising environmental factors, and eye exercises. Correction of refractive error, use of lubricating eye drops, and blink efficiency training to induce motor memory have been shown to be effective in reducing visual fatigue. Vergence-accommodation mismatch can be reduced with slower movement of the camera, screen breaks, and correction of refractive error. Robotic surgeons should adopt these simple and non-invasive interventions to minimise visual fatigue.

Transoral robotic surgery (TORS) has become a common surgical approach for the treatment of both benign and malignant conditions of the oropharynx. While the newer da Vinci Xi platform has largely replaced the previous Si model in many institutions, the reported outcomes with this system in head and neck surgery are limited. We report the feasibility of using the da Vinci Xi platform for managing oropharyngeal cancer and obstructive sleep apnea in a low-volume center. This retrospective review from a consecutive case series includes demographic, procedural, and outcome data from all patients who underwent TORS using the da Vinci Xi platform at a single institution over a 5-year period from 2019 to 2023. Thirty-five patients (19 males and 16 females) underwent TORS for a variety of indications. No patients were excluded from the study. There were no mortalities, readmissions, or severe complications directly related to the primary surgery. Our case series demonstrates that TORS is feasible with the da Vinci Xi system even in low-volume centers and supports the existing data suggesting that the Xi platform has an acceptable safety profile.

To develop and validate a novel Comorbidity score for Robotic Surgery (CRS) in predicting severe complications after robot-assisted radical prostatectomy (RARP). Furthermore, we investigated the impact of the surgical platform (Multi-Port - MP vs Single-Port - SP) according to this score. We included 2085 ("development cohort") and 595 ("validation cohort") patients undergoing RARP at two tertiary referral centers between 2014 and March 2024 in a retrospective study. Statistical analyses included validation of the Charlson Comorbidity Index (CCI) to predict 30-day severe complications (Clavien-Dindo ≥ 3a), development and external validation of CRS using calibration plots and decision curve analysis. Lastly, locally weighted scatterplot smoothing (LOWESS) analysis was used to graphically explore the impact of the robotic platform according to novel CRS. CCI exhibited limited predictive ability for severe complications (60% in the validation cohort). In multivariable logistic regression analyses testing the correlation between each condition included in CCI and severe complications, diabetes and myocardial infarction resulted as independent predictors (OR 1.75 [95%CI 1.05-2.82]; OR 1.92 [95%CI 1.26-2.88]) and were subsequently fitted into a multivariable logistic model including age, previous abdominal surgery and obesity (BMI > 30). The resulting predictive model demonstrated superior discrimination and clinical net benefit in predicting severe complications compared to CCI (AUC 64 vs 60%). At LOWESS analysis, SP platform was associated with lower risk of severe complications as CRS increased compared to MP system. The validated CRS showed better accuracy compared to CCI in predicting severe complications after RARP. Additionally, the use of SP robotic platform may reduce the risk of severe complications in highly comorbid patients according to CRS.

Minimal-invasive surgery (MIS) and robotic surgery (RS) offer multiple advantages over open surgery (Vajsbaher et al. in Cogn Syst Res 64:08, 2020). However, the lack of haptic feedback is still a limitation. Surgeons learn to adapt to this lack of haptic feedback using visual cues to make judgements about tissue deformation. Experienced robotic surgeons use the visual interpretation of tissue as a surrogate for tactile feedback. The aim of this review is to identify the visual cues that are consciously or unconsciously used by expert surgeons to manipulate soft tissue safely during Minimally Invasive Surgery (MIS) and Robotic Surgery (RS). We have conducted a comprehensive literature review with papers on visual cue identification and their application in education, as well as skill assessment and surgeon performance measurement with respect to visual feedback. To visualise our results, we provide an overview of the state-of-the-art in the form of a matrix across identified research features, where papers are clustered and grouped in a comparative way. The clustering of the papers showed explicitly that state-of-the-art research does not in particular study the direct effects of visual cues in relation to the manipulation of the tissue and training for that purpose, but is more concentrated on tissue identification. We identified a gap in the literature about the use of visual cues for educational design solutions, that aid the training of soft-tissue manipulation in MIS and in RS. There appears to be a need RS education to make visual cue identification more accessible and set it in the context of manipulation tasks.

The purpose of this study is to explore the risk factors for conversion from minimally invasive surgery to thoracotomy in patients with lung cancer through meta-analytic approach, and provide a better evidence-based basis for clinicians to perform surgery. We conducted a comprehensive search across databases including PubMed, Embase, Web of Science, and the Cochrane Library database to identify relevant English-language studies published up to February 2024. The pooled effect estimate was calculated using the odds ratio (OR) and a 95% confidence interval (CI). We also conducted sensitivity, subgroup, and publication bias tests. Meta-analysis was performed by using stata18MP software. The study was registered with PROSPERO(ID: CRD42024524790). We included a total of 8 studies. We discovered that gender (OR: 1.58; 95% CI: 1.23-2.03; P < 0.001), chronic obstructive pulmonary disease (COPD) (OR: 1.13; 95% CI: 1.04-1.23; P = 0.005), location of the tumor (OR: 1.21; 95% CI: 1.12-1.31; P < 0.001) were all linked to an increased risk of conversion. Additionally, the type of surgery (OR: 0.14; 95% CI: 0.05-0.39; P < 0.001) was associated with a reduced risk of conversion. Nevertheless, age, smoking, and obesity showed no association with the risk of conversion. The current meta-analysis suggests that the male gender, COPD, upper lobe tumor location, and the video-assisted approach are risk factors for conversion from minimally invasive surgery to thoracotomy in patients with lung cancer. More high-quality studies are required to validate the above results due to the limited number and types of studies included.

In the era of minimally invasive surgery (MIS), parenchyma-preserving liver resections are gaining prominence with the potential to offer improved perioperative outcomes without compromising oncological safety. The surgeon learning curve remains challenging, and simulation plays a key role in surgical training. Existing simulation models can be limited by suboptimal fidelity and high cost. We describe a novel, reproducible, high-fidelity, low-cost liver metastases model using porcine livers from adult Landrace pigs, with porcine perinephric fat used to simulate subcapsular metastases. This model was then utilised in a training session for surgical trainees performing robotic parenchyma-preserving surgery (PPS) under the guidance of expert robotic surgeons, with feedback being recorded. Trainees rated the model highly on its fidelity to human liver simulation (median score 9), tissue handling (median score 8), and overall usefulness (median score 9). Tissue handling was felt to simulate in vivo liver resection closely, while suggestions for improvement included adding simulated blood flow. This is a novel, low-cost, high-fidelity simulation model of liver metastases with high acceptability to surgical trainees, which could be readily adopted by other training centres.

Little is known about the incidence of subcutaneous emphysema (SE) after robotic cardiac surgery. The aim of this study was to describe the incidence, identify risk factors, and assess its influence on postoperative outcomes. Patients undergoing robotic mitral valve repair (n = 63, 54.3%), robotic minimally invasive direct coronary artery bypass grafting (n = 23, 19.8%), and robotic totally endoscopic coronary artery bypass grafting (n = 30,25.9%) were included in the analysis (total n = 116). Subcutaneous emphysema occurred in 53/116 patients (45.7%). It was mild in 30/53 patients (56.6%), moderate in one patient (1.9%), and severe in 22/53 patients (41.5%). Low body weight (p = 0.009), low BMI (p = 0.006), small body surface area (p = 0.01), and older age (p = 0.041) significantly correlated with SE. Patients undergoing robotic mitral valve repair were affected more often than patients undergoing robotic coronary artery bypass grafting (p = 0.04). Severe subcutaneous emphysema resulted in an increased need for CT-chest imaging (p = 0.026), and additional chest tubes (p = 0.029). Severe emphysema was highly associated with pneumothorax (p < 0.001) and increased duration of chest tube drainage (p = 0.003). Subcutaneous emphysema after robotic heart surgery occurs preferentially in patients with low body weight, low BMI, a small body surface area, and older age and is more common in robotic MVR than in robotic coronary artery bypass surgery. It leads to an increased need for thoracic imaging and additional chest tube insertion. Clinical outcomes are not affected.