Robotic and Plastic Surgery: actuality and prospects for the near future, a scoping review.

OBJECTIVE: This work aims to review the existing use of robotics in plastic surgery. METHODS: A meticulous selection process identified 22 articles relevant to this scoping review. RESULTS: The literature on the use of robotics in plastic surgery is sparse. Nonetheless, this review highlights emerging benefits in microsurgery, breast reconstruction, and transoral surgery. CONCLUSION: This scoping review identifies critical articles reporting the emerging use of robotics in plastic surgery. While the scientific medical community has yet to extensively document its use, the available evidence suggests a promising future for robotics in this field.

Temporal and institutional trends in robotic surgery.

Robotic surgery has become increasingly prevalent in general surgery practice. While previous studies have shown the safety and efficacy of robotic assistance in laparoscopic general surgery procedures, few studies have evaluated the temporal and regional trends in implementation. In our retrospective population-based study, we aim to evaluate the national trends in robotic surgery. National Inpatient Database (NIS 2009-2014) was used to identify adults who underwent robotic assisted surgery (ICD 9 codes 17.41 to 17.49). Robotic procedures related to seven abdominal organ systems were compared against the trends of Urology, Gynaecologic, and Orthopedic robotic procedures. Discharge weights were applied to calculate National temporal trends separated by hospital size, teaching status and US geographic region. 894,163 patients received a robotic assisted procedure between 2009 and 2014 with 64% increase in utilization. The largest percent change was witnessed in biliary robotic procedures with 2984% change in utilization, followed by hernia (1376%). Lowest percent change was witnessed in esophageal procedures with 114% increase. Medium sized hospitals had the largest change in robotic utilization (41%), with large institutions seeing 18% decrease. Gastric procedures were the most common robotic procedure performed at small institutions (7917 total cases; 316%). Large institutions saw an overall decrease in gastric (- 47%), esophageal (- 17%), small and large intestinal (-16%), and hepatic (- 7%) robotic procedures. Rural non-teaching hospitals saw the largest increase in robotic surgery (274%). Urban non-teaching hospitals saw a decrease of 29%. While urban teaching institutions saw a 20% and 6% increase in gynecological and urological procedures, an overall decrease was seen in esophageal (- 10%), gastric (- 12%), intestinal (- 11%), hepatic (- 17%), biliary (- 10%), pancreatic (- 11%) and hernia procedures (- 14%). Biliary procedures saw the largest increase in rural institutions (740 cases; 392%), followed by hernia (144% increase). South region of the nation had the largest increase in robotic procedures (23%). No change was seen in the use of robotic surgery in the northeast region with the midwest and west seeing an overall decrease (- 4% and - 22%, respectively). Our study highlights the increase in use of robotics for both general and specialty surgery, with an increase in utilization over time. Increased incidence of robotic surgery in smaller, rural institutions with overall decrease in larger, urban teaching hospitals suggests increasing comfort in robotic surgery in the community setting. Further studies are necessary to evaluate the factors associated with increased utilization in smaller institutions.

The current status and global trends of clinical trials related to robotic surgery: a bibliometric and visualized study.

Conducting clinical trials can evaluate the effectiveness and safety of surgical robots. To promote the advancement of academic robotic programs in surgery, this study captures the development trend and research hotspots of clinical trials related to surgical robots by bibliometric analysis. Bibliometrix package in R software was used to analyze the publication year, authors, countries, institutes, and journals. The visualization maps of keywords were formed using VOSviewer. The keywords with the strongest citation bursts and the institutional collaboration map were created by CiteSpace. Urology dominates with 31.3% of publications and the controlled clinical trials in urology and orthopedic accounted for the highest proportion, reaching 73%. North America, the USA, and Seoul National University lead in productivity. The most productive country, region and institution are North America, USA and Seoul National University, respectively. The trend of collaboration is regional instead of international. Keyword and burst keyword analysis revealed a primary focus in clinical research on robotic surgery: evaluating process improvements, comparing robotic and traditional surgery, and assessing feasibility. Long-term clinical trials assess surgical robots not only intraoperative performance but also postoperative complications and overall surgical outcomes. The development in the field is unbalanced between regions and countries. To promote multi-center clinical trials, governments can streamline review procedures and establish international consensus review standards, while academic institutions can form academic alliances. Also, the study offers recommendations for the development of academic robotic programs and regional collaboration units in robotic surgery, which may provide researchers with a strong reference for future research.

Cutting Edge Developments in Spine Surgery at the University of Missouri.

The treatment of spinal pathologies has evolved significantly from the times of Hippocrates and Galen to the current era. This evolution has led to the development of cutting-edge technologies to improve surgical techniques and patient outcomes. The University of Missouri Health System is a high-volume, tertiary care academic medical center that serves a large catchment area in central Missouri and beyond. The Department of Neurosurgery has sought to integrate the best available technologies to serve their spine patients. These technological advancements include intra-operative image guidance, robotic spine surgery, minimally invasive techniques, motion preservation surgery, and interdisciplinary care of metastatic disease to the spine. These advances have resulted in safer surgeries with enhanced outcomes at the University of Missouri. This integration of innovation demonstrates our tireless commitment to ensuring excellence in the comprehensive care of a diverse range of patients with complex spinal pathologies.

The death of laparoscopy.

BACKGROUND: The introduction of laparoscopy in 1989 revolutionized surgical practices, reducing post-operative complications, and enhancing outcomes. Despite its benefits, limitations in laparoscopic tools have led to continued use of open surgery. Robotic-assisted surgery emerged to address these limitations, but its adoption trends and potential impact on open and laparoscopic surgery require analysis. METHODS: A retrospective analysis used the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) databases from 2012 to 2021. The study encompassed various abdominal procedures, employing Vector Autoregressive (VAR) models to analyze the dynamic relationships between surgical techniques. The models predicted future trends in open, laparoscopic, and robotic surgery until Q2 of 2025. RESULTS: The analysis included 360,171 patients across diverse procedures. In urology, robotic surgery dominated prostatectomies (83.1% in 2021) and nephrectomies (55.1% in 2021), while the open approach remained the predominant surgical technique for cystectomies (72.5% in 2021). In general surgery, robotic colectomies were forecasted to surpass laparoscopy, becoming the primary approach by 2024 (45.7% in 2025). Proctectomies also showed a shift towards robotic surgery, predicted to surpass laparoscopy and open surgery by 2025 (32.3%). Pancreatectomies witnessed a steady growth in robotic surgery, surpassing laparoscopy in 2021, with forecasts indicating further increase. While hepatectomies remained predominantly open (70.0% in 2025), esophagectomies saw a rise in robotic surgery, predicted to become the primary approach by 2025 (52.3%). CONCLUSIONS: The study suggests a transformative shift towards robotic-assisted surgery, poised to dominate various minimally invasive procedures. The forecasts indicate that robotic surgery may surpass laparoscopy and open surgery in colectomies, proctectomies, pancreatectomies, and esophagectomies by 2025. This anticipated change emphasizes the need for proactive adjustments in surgical training programs to align with evolving surgical practices. The findings have substantial implications for future healthcare practices, necessitating a balance between traditional laparoscopy and the burgeoning role of robotic-assisted surgery.

Five historical innovations that have shaped modern urological surgery.

Throughout history, many innovations have contributed to the development of modern urological surgery, improving patient outcomes and expanding the range of treatment options available to patients. This article explores five key historical innovations that have shaped modern urological surgery: External shockwave lithotripsy, transurethral resection of prostate, cystoscope, perioperative prostate-specific antigen and robotic surgery. The selection of innovations for inclusion in this article was meticulously determined through expert consensus and an extensive literature review. We will review the development, impact and significance of each innovation, highlighting their contributions to the field of urological surgery and their ongoing relevance in contemporary and perioperative practice.

IoT Security and Computation Management on a Multi-Robot System for Rescue Operations Based on a Cloud Framework.

There is a growing body of literature that recognizes the importance of Multi-Robot coordination and Modular Robotics. This work evaluates the secure coordination of an Unmanned Aerial Vehicle (UAV) via a drone simulation in Unity and an Unmanned Ground Vehicle (UGV) as a rover. Each robot is equipped with sensors to gather information to send to a cloud server where all computations are performed. Each vehicle is registered by blockchain ledger-based network security. In addition to these, relevant information and alerts are displayed on a website for the users. The usage of UAV-UGV cooperation allows for autonomous surveillance due to the high vantage field of view. Furthermore, the usage of cloud computation lowers the cost of microcontrollers by reducing their complexity. Lastly, blockchain technology mitigates the security issues related to adversarial or malicious robotic nodes connecting to the cluster and not agreeing to privacy rules and norms.

Perspectives of Gynecologic Oncologists on Minimally Invasive Surgery During COVID-19 Pandemic: A Turkish Society of Minimally Invasive Gynecologic Oncology (MIJOD) Survey.

BACKGROUND: To evaluate gynecologic oncologists' trends and attitudes towards the use of Minimally invasive surgery (MIS) in active period of the COVID-19 pandemic in Turkey. METHODS: Online national survey sent to members of Turkish Endoscopy Platform consisting of six sections and 45 questions between the dates 1-15 June 2020 in Turkey to explore their surgical practice during the pandemic in three hospital types: Education and research hospital/university hospital, state hospital and private Hospital. Participants were gynecologic oncologists who are members of Turkish Endoscopy Platform. RESULTS: Fifty-eight percent of participants canceled all operations except for cancer surgeries and emergent operations. About a quarter of participants (28%) continued to operate laparoscopically and/or robotically. For the evaluation of the suspected adnexial mass (SAM) 64% used laparotomy and only 13 % operated by laparoscopy (L/S). For the management of low-risk early-stage endometrial cancer only fifth of the participants preferred to perform L/S. For endometrial cancer with high-intermediate risk factors more than half of participants preferred complete staging with laparotomy. For advanced stage ovarian cancer, one-fifth of the participants preferred to perform an explorative laparotomy, whilst 15 % preferred diagnostic laparoscopy to triage the patients for either NACT or cytoreductive surgery. On the contrary 41 % of participants chose to have cytology by paracentesis for neo-adjuvant chemotherapy (NACT). Gynecologic oncologists with >10 years L/S experience used MIS more for SAM. Furthermore, experienced surgeons used L/S more for endometrial cancer patients. In busy COVID hospitals, more participants preferred laparotomy over L/S. CONCLUSION: Use of MIS decreased during the pandemic in Turkey. More experienced surgeons continued to perform MIS. Surgical treatment was the preferred approach for SAM, early-stage endometrial cancer.  However, NACT was more popular compared to radical surgery.

A Brief Insight on Magnetic Resonance Conditional Neurosurgery Robots.

The brain is a delicate organ in the human body that requires extreme care. Brain-related diseases are unavoidable. Perse, neurosurgery is a complicated procedure that demands high precision and accuracy. Developing a surgical robot is a complex task. To date, there are only a handful of neurosurgery robots in the market that distinctly undergo clinical procedures. These robots have exorbitant cost that hinders the utmost care progress in the area as they are unaffordable. This paper looked at the historical perspective and presented insight literature of the magnetic resonance conditional stereotactic neurosurgery robots that find their ways in clinics, abandoning research projects and promising research yet to undergo clinical use. In addition, the study also gives a thorough insight into the advantage of magnetic resonance imaging modalities and magnetic resonance conditional robots and the future challenges in automation use. Image compatibility test data and accuracy results are also examined because they guarantee that these systems work correctly in particular imaging settings. The primary differences between these systems include actuation and control technologies, construction materials, and the degree of freedom. Thus, one system has an advantage over the other.

Management Trends and Outcomes of Patients Undergoing Radical Cystectomy for Urothelial Carcinoma of the Bladder: Evolution of the University of Southern California Experience over 3,347 Cases.

PURPOSE: There are conflicting reports on outcome trends following radical cystectomy (RC) for bladder cancer. MATERIALS AND METHODS: Evolution of modern bladder cancer management and its impact on outcomes was analyzed using a longitudinal cohort of 3,347 patients who underwent RC at an academic center between 1971 and 2018. Outcomes included recurrence-free survival (RFS) and overall survival (OS). Associations were assessed using univariable and multivariable models. RESULTS: In all, 70.9% of cases underwent open RC in the last decade, although trend for robot-assisted RC rose since 2009. While lymphadenectomy template remained consistent, nodal submission changed to anatomical packets in 2002 with increase in yield (p <0.001). Neoadjuvant chemotherapy (NAC) use increased with time with concomitant decrease in adjuvant chemotherapy; this was notable in the last decade (p <0.001) and coincided with improved pT0N0M0 rate (p=0.013). Median 5-year RFS and OS probabilities were 65% and 55%, respectively. Advanced stage, NAC, delay to RC, lymphovascular invasion and positive margins were associated with worse RFS (all, multivariable p <0.001). RFS remained stable over time (p=0.73) but OS improved (5-year probability, 1990-1999 51%, 2010-2018 62%; p=0.019). Among patients with extravesical and/or node-positive disease, those who received NAC had worse outcomes than those who directly underwent RC (p ≤0.001). CONCLUSIONS: Despite perioperative and surgical advances, and improved pT0N0M0 rates, there has been no overall change in RFS trend following RC, although OS rates have improved. While patients who are downstaged with NAC derive great benefit, our real-world experience highlights the importance of preemptively identifying NAC nonresponders who may have worse post-RC outcomes.

The impact of operative approach on postoperative outcomes and healthcare utilization after colectomy.

BACKGROUND: To evaluate national trends in adoption of different surgical approaches for colectomy and compare clinical outcomes and resource utilization between approaches. METHODS: Retrospective study of patients aged ≥18 years who underwent elective inpatient left or right colectomy between 2010 and 2019 from the Premier Healthcare Database. Patients were classified by operative approach: open, minimally invasive: either laparoscopic or robotic. Postoperative outcomes assessed within index hospitalization include operating room time, hospital length of stay, rates of conversion to open surgery, reoperation, and complications. Post-discharge readmission, hospital-based encounters, and costs were collected to 30 days post-discharge. Multivariable regression models were used to compare outcomes between operative approaches adjusted for patient baseline characteristics and clustering within hospitals. RESULTS: Among 206,967 patients, the robotic approach rates increased from 2.1%/1.6% (2010) to 32.6%/26.8% (2019) for left/right colectomy, offset by a decrease in both open and laparoscopic approaches. Median length of stay for both left and right colectomies was significantly longer in open (6 days) and laparoscopic (5 days) compared to robotic surgery (4 days; all P values <.001). Robotic surgery compared to open and laparoscopic was associated with a significantly lower conversion rate, development of ileus, overall complications, and 30-day hospital encounters. Robotic surgery further demonstrated lower mortality, reoperations, postoperative bleeding, and readmission rates for left and right colectomies than open. Robotic surgery had significantly longer operating room times and higher costs than either open or laparoscopic. CONCLUSIONS: Robotic surgery is increasingly being used in colon surgery, with outcomes equivalent and in some domains superior to laparoscopic.

Robot Application for Hepatopancreatic Disorders, Gastroesophageal Reflux Disease, and Achalasia.

INTRODUCTION: We undertook this study to describe the number and variety of robotic operations undertaken for hepatopancreatic and esophageal disorders. METHODS: Data from 2015 through March of 2018 were analyzed for da Vinci™ robot application for hepatopancreatic disorders, gastroesophageal reflux disease (GERD), and achalasia. RESULTS: From 2015 through 2017, robotic hepatopancreatic operations increased 49%, robotic hepatic operations increased 107%, and robotic pancreatic operations increased 26%. Quarter after quarter, robotic application increased for hepatopancreatic operations, hepatic operations, and pancreatic operations (P < .001 for each) with acceleration over the most recent months. The application of the Xi robot platform increased from 12% of robotic hepatopancreatic operations in 2015-71% in 2018 (1075% increase in numbers). From 2015 through 2017, robotic fundoplications and myotomies increased by 55%, robotic fundoplications increased by 59%, and robotic Heller myotomies increased by 211%. Quarter after quarter, robotic application increased for fundoplications and Heller myotomies (P < .001 for each) with acceleration over the most recent months. The application of the Xi robot platform increased from 13% of these robotic operations in 2015-64% in 2018 (935% increase in numbers). Less than 10% of hepatopancreatic operations, fundoplications, and myotomies are undertaken robotically. CONCLUSIONS: There has been an accelerating increase in the number of robotic operations for hepatopancreatic disorders, GERD, and achalasia over the past 3 » years. Application of the Xi robot has dramatically increased, both absolutely and relatively. Still only a small proportion of operations for hepatopancreatic disorders, GERD, and achalasia use the robotic platform; this is changing fast.

Urologic Surgery in Digital Era: Foresights and Futuristic Approach.

The new scientific developments and technological opportunities that have led to significant changes all build up the digital era. In medicine, the use of new technologies in patient diagnosis and treatment processes has opened new horizons for physicians and patients. As considering for the medical training, 3-dimensional modeling opportunities, virtual reality, augmented reality, and various simulators offered by the new technologies of the digital era have become a new hope. The 3-dimensional scanning and modeling, 3-dimensional medical printing, virtual reality technologies applications and simulators in urology are very recent and valuable. Besides, the exoscope-assisted 3-dimensional open surgery provides high-resolution 3-dimensional images to surgeons with high comfort as compared with old-fashioned operating microscopes. New modalities that tried to be integrated in robotic surgery are 3-dimensional reconstruction, usage of indocyanine green, augmented reality, contrast ultrasound, haptic feedback, and availability of single port. Some new companies announced their new robotic systems in the market. The use of these new technological applications during medical training, especially at the beginning of the education curve for various surgical interventions, may be beneficial in terms of reducing possible complications that may be encountered due to inexperience at the beginning of the education process and increasing patient safety. Urology will also stay at the futuristic approach in medicine, while 3-dimensional technologies used more widely in this field.

Global Research Trends in Robotic Applications in Spinal Medicine: A Systematic Bibliometric Analysis.

OBJECTIVE: We systematically evaluated the global research trends in robotic application on the spine through bibliometric analysis and mapping knowledge domains. METHODS: A systematic literature search was performed of the PubMed and Web of Science, including the Science Citation Index Expanded, databases. The number, countries, journals, and authors of the publications, total citations, average publication year, and institution sources were analyzed using Microsoft Excel, the Online Analysis Platform of Bibliometrics, and VOSviewer. The hotspots were analyzed and visualized using VOSviewer. RESULTS: We identified a total of 2135 publications. The United States ranked first in the number of publications (n = 824; 38.63%) and frequency of citations (n = 29,075). Northwestern University had the highest number of publications (n = 67) and Harvard University the highest number of citations (n = 4198). The Journal of NeuroEngineering and Rehabilitation published the largest number of reports (n = 73), and the most frequently cited journal was Nature (n = 3844 citations). The research hotspots were divided into 3 categories analyzed by VOSviewer: rehabilitation, basic science, and surgery. According to the average publication year, the most recent hotspot was radiation exposure, and the earliest hotspot was radiosurgery. CONCLUSIONS: The number of studies of robotic application on the spine has continued to increase. The United States was the greatest contributor to robotic applications on the spine. Robot-assisted rehabilitation for neurological and orthopedic lesions is still a major research hotspot. The range of robotic applications on the spine has expanded from assisted rehabilitation to assisted rehabilitation and surgery.

[Surgical de-escalation for head and neck cancer surgery]. / Désescalade en chirurgie oncologique cervico-faciale.

Head and neck cancer surgery often has functional and aesthetic consequences. De-escalation surgery is a major concern for surgeons with a constant desire to develop surgical techniques with less invasive approaches and to preserve anatomical structures as much as possible. This was made possible by the appearance of minimally transoral and endonasal surgery as well as by the limitation of the surgical procedure by neoadjuvant treatments or by the limitation of surgical excision without compromising the oncological outcome and patient survival. This evolution continues with the arrival of new technologies such as virtual reality or artificial intelligence.

Machine learning algorithms can more efficiently predict biochemical recurrence after robot-assisted radical prostatectomy.

OBJECTIVES: To develop a model for predicting biochemical recurrence (BCR) in patients with long follow-up periods using clinical parameters and the machine learning (ML) methods. MATERIALS METHOD: Patients who underwent robot-assisted radical prostatectomy between January 2014 and December 2019 were retrospectively reviewed. Patients who did not have BCR were assigned to Group 1, while those diagnosed with BCR were assigned to Group 2. The patient's demographic data, preoperative and postoperative parameters were all recorded in the database. Three different ML algorithms were employed: random forest, K-nearest neighbour, and logistic regression. RESULTS: Three hundred and sixty-eight patients were included in this study. Among these patients, 295 (80.1%) did not have BCR (Group 1), while 73 (19.8%) had BCR (Group 2). The mean duration of follow-up and duration until the diagnosis of BCR was calculated as 35.2 ± 16.7 and 11.5 ± 11.3 months, respectively. The multivariate analysis revealed that NLR, PSAd, risk classification, PIRADS score, T stage, presence or absence of positive surgical margin, and seminal vesicle invasion were predictive for BCR. Classic Cox regression analysis had an area under the curve (AUC) of 0.915 with a sensitivity and specificity of 90.6% and 79.8%. The AUCs for receiver-operating characteristic curves for random forest, K nearest neighbour, and logistic regression were 0.95, 0.93, and 0.93, respectively. All ML models outperformed the conventional statistical regression model in the prediction of BCR after prostatectomy. CONCLUSION: The construction of more reliable and potent models will provide the clinicians and patients with advantages such as more accurate risk classification, prognosis estimation, early intervention, avoidance of unnecessary treatments, relatively lower morbidity and mortality. The ML methods are cheap, and their powers increase with increasing data input; we believe that their clinical use will increase over time.