A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery

Paranoid About Androids: A Review of Robotics in Radiology

In tandem with the ever-increasing global population, the demand for diagnostic radiology service provision is on the rise and at a disproportionate rate compared to the number of radiologists available to practice. The current "revolution in robotics" promises to alleviate personnel shortages in many sectors of industry, including medicine. Despite negative depictions of robots in popular culture, their multiple potential benefits cannot be overlooked, in particular when it comes to health service provision. The type of robots used for interventional procedures are largely robotic-assistance devices, such as the Da Vinci surgical robot. Advances have also been made with regards to robots for image-guided percutaneous needle placement, which have demonstrated superior accuracy compared to manual methods. It is likely that artificial intelligence will come to play a key role in the field of robotics and will result in an increase in the levels of robotic autonomy attainable. However, this concept is not without ethical and legal considerations, most notably who is responsible should an error occur; the physician, the robot manufacturer, software engineers, or the robot itself? Efforts have been made to legislate in order to protect against the potentially harmful effects of unexplainable "black-box" decision outputs of artificial intelligence systems. In order to be accepted by patients, studies have shown that the perceived level of trustworthiness and predictability of robots is crucial. Ultimately, effective, widespread implementation of medical robotic systems will be contingent on developers remaining cognizant of factors that increase human acceptance, as well as ensuring compliance with regulations.

Robotic Surgery in Safety-Net Hospitals: Addressing Health Disparities and Improving Access to Care

Minimally invasive surgery (MIS) has demonstrated significant clinical and economic benefits that have been consistently validated and reproduced in practice and the literature for the past few decades. These benefits include improved patient outcomes, reduced complications, shorter hospital stays, decreased narcotic use, quicker recovery times, and lower rates of wound infections. However, safety-net hospitals, which historically serve a larger percentage of underserved and marginalized populations, often lack the resources to invest in high capital equipment. This limitation decreases access for these marginalized groups to the advantages of MIS, particularly robotic surgery and a wider range of surgical operations. This disparity in access to care highlights a critical shortfall in the delivery of health care for these patients and other vulnerable populations.

In vivo evaluation of tissue damage from varying grasping forces using the Saroa surgical system

Robot-assisted surgery can help to reduce patient burden and operator stress by enabling precise manipulations with multiple joint motions, but may also cause complications due to the lack of tactile sensation. The Saroa surgical system was developed with a haptic feedback function, and allows operators to adjust grasping forces as desired. In this study, we investigated tissue damage from varying grasping forces using the Saroa surgical system, and assessed the utility of this system. The grasping forceps of the Saroa system were used to grasp the lungs, esophagus, aorta, liver, spleen, small intestine, and large intestine of six beagle dogs with forces of 1, 2, and 3 N for durations of 1, 2, and 4 min. The effects of different grasping forces and durations on tissue damage were histologically evaluated. Histological evaluations showed that grasping force caused tissue damage in the lung and liver, but not the other organs. These results showed the lung and liver were more vulnerable to grasping forces, and exhibited more severe tissue damage at higher forces. These findings suggest that the haptic feedback function of the Saroa system could help to reduce intraoperative organ damage, especially in the fields of lung and liver surgery.

Minimally invasive instrumented fixation for Hangman's fracture assisted by the TiRobot system: A case report

INTRODUCTION AND IMPORTANCE

Freehand screw placement in upper cervical surgery can be technically challenging. Therefore, navigation techniques are increasingly being used to improve safety and accuracy. However, the use of robots in cervical screw insertion is often limited due to issues with skiving and poor accuracy.

CASE PRESENTATION

A 51-year-old male who presented with neck pain following a car accident was diagnosed with type I hangman's fracture without neurological deficiency. To avoid traction and external immobilization, we safely and accurately placed two cannulated screws into the lamina and pedicle of C2 using the TiRobot system. The procedure involved minimal soft tissue dissection, and the patient was discharged on day 3 without a cervical collar. At the six-week and 1-year follow-up, the patient had no neck pain and showed good range of motion in the cervical spine.

CLINICAL DISCUSSION

During the procedure, certain techniques can help improve the safety and accuracy of screw insertion.

CONCLUSION

Our experience suggests that the intraoperative 3-dimensional image-based robotic guidance for upper cervical surgery is feasible, safe, and accurate.

Simulation training with haptic feedback of instrument vibrations reduces resident workload during live robot-assisted sleeve gastrectomy

BACKGROUND

New surgeons experience heavy workload during robot-assisted surgery partially because they must use vision to compensate for the lack of haptic feedback. We hypothesize that providing realistic haptic feedback during dry-lab simulation training may accelerate learning and reduce workload during subsequent surgery on patients.

METHODS

We conducted a single-blinded study with 12 general surgery residents (third and seventh post-graduate year, PGY) randomized into haptic and control groups. Participants performed five simulated bariatric surgeries on a custom inanimate simulator followed by live robot-assisted sleeve gastrectomies (RASGs) using da Vinci robots. The haptic group received naturalistic haptic feedback of instrument vibrations during their first four simulated procedures. Participants completed pre-/post-procedure STAI and post-procedure NASA-TLX questionnaires in both simulation and the operating room (OR).

RESULTS

Higher PGY level (simulation: p < 0.001, OR p = 0.004), shorter operative time (simulation: p < 0.001, OR p = 0.003), and lower pre-procedure STAI (simulation: p = 0.003, OR p < 0.001) were significantly associated with lower self-reported overall workload in both operative settings; PGY-7 s reported about 10% lower workload than PGY-3 s. The haptic group had significantly lower overall covariate-adjusted NASA-TLX during the fourth (p = 0.03) and fifth (p = 0.04) simulated procedures and across all OR procedures (p = 0.047), though not for only the first three OR procedures. Haptic feedback reduced physical demand (simulation: p < 0.001, OR p = 0.001) and increased perceived performance (simulation: p = 0.031, OR p < 0.001) in both settings.

CONCLUSION

Haptic feedback of instrument vibrations provided during robotic surgical simulation reduces trainee workload during both simulation and live OR cases. The implications of workload reduction and its potential effects on patient safety warrant further investigation.

Principles of Stereotactic Surgery

BACKGROUND AND OBJECTIVES

Stereotactic procedures are used to manage a diverse set of patients across a variety of clinical contexts. The stereotactic devices and software used in these procedures vary between surgeons, but the fundamental principles that constitute safe and accurate execution do not. The aim of this work is to describe these principles to equip readers with a generalizable knowledge base to execute and understand stereotactic procedures.

METHODS

A combination of a review of the literature and empirical experience from several experienced surgeons led to the creation of this work. Thus, this work is descriptive and qualitative by nature, and the literature is used to support instead of generate the ideas of this framework.

RESULTS

The principles detailed in this work are categorized based on 5 clinical domains: imaging, registration, mechanical accuracy, target planning and adjustment, and trajectory planning and adjustment. Illustrations and tables are used throughout to convey the concepts in an efficient manner.

CONCLUSION

Stereotactic procedures are complex, requiring a thorough understanding of each step of the workflow. The concepts described in this work enable functional neurosurgeons with the fundamental knowledge necessary to provide optimal patient care.

Impact of Robotic Percutaneous Coronary Intervention (R-PCI) With and Without CCTA-Guidance on Clinical Outcomes and Hospital Economics: A Single Center Registry

BACKGROUND

Several studies have confirmed the safety and efficacy of robotic assisted coronary interventions for simple and complex coronary lesions. However, in the real-world clinical setting the currently available evidence is still inconclusive with regard to clinical outcomes. In terms of financial sustainability, the emerging use of pre-PCI Coronary Computed Tomography Angiography (CCTA) may potentially impact the overall patient journey and related costs. However, the role of CCTA guidance in elective robotic-assisted revascularizations and its potential impact on hospital economics has never been investigated. Therefore, we aimed to assess the clinical impact of R-PCI according to procedural complexity and its potential financial sustainability when integrated with CCTA guidance.

METHODS

Major adverse cardiovascular events (MACE) at the latest clinical follow-up available have been prospectively evaluated in a single center cohort of 111 patients undergoing elective R-PCI (CorPath, Corindus GRX Robotic Drive, Boston, MA). The study population was subsequently divided into two groups according to either the median Syntax Score (SS = 14) as a surrogate of procedural complexity or the adoption of CCTA-guidance. Additionally, both periprocedural and in-hospital outcomes have been investigated in the overall cohort and in the subgroups.

RESULTS

Overall, MACE occurred in 5.4% of the patients at a median follow-up of 309 days. Procedural complexity was associated with significantly longer procedural time and radiation exposure (SS ≥ 14: 94.5 ± 32.1 vs. 78.7 ± 25.5 min, p = 0.011, and 32.7 ± 30.9 vs. 22.5 ± 19.8 mSv, p = 0.010, respectively), but not with increased in-hospital and long-term clinical outcomes. Additionally, patients undergoing CCTA-guided R-PCI had a significantly higher rate of same-day-discharge (SDD-64.6% vs. 44.2% respectively, p = 0.034) than those without CCTA support.

CONCLUSION

R-PCI appears safe and effective regardless the procedural complexity. Moreover, the integration of robotics and CCTA-guidance appears to have beneficial impact on hospital economics by optimizing resource utilization and improving patient selection for percutaneous revascularization.

Full Study, Model Verification, and Control of a Five Degrees of Freedom Hybrid Robotic-Assisted System for Neurosurgery

BACKGROUND

Neurosurgery demands high precision, and robotic-assisted systems are increasingly employed to enhance surgical outcomes. This study focuses on a hybrid robotic-assisted system for neurosurgery, addressing forward and inverse kinematics, Jacobian matrices, and system singularities.

METHODS

The system is simulated using MATLAB/Simscape Multibody to achieve accurate kinematic and dynamic representations. An inverse kinematics framework was developed for generating and validating a circular trajectory at the end-effector tip. Two control strategies are compared: traditional active joint PID control and combined trajectory feedback plus feedforward control.

RESULTS

The combined control strategy significantly improves performance, reducing the maximum absolute error of each output by an average of 46.5% and the mean square error by 50.31% under optimal conditions.

CONCLUSION

The findings highlight the potential of trajectory feedback and feedforward control to enhance the precision and reliability of robotic-assisted neurosurgical procedures.

Recommendations on Robotic Hepato-Pancreato-Biliary Surgery. The Paris Jury-Based Consensus Conference

OBJECTIVE

To establish the first consensus guidelines on the safety and indications of robotics in Hepato-Pancreatic-Biliary (HPB) surgery. The secondary aim was to identify priorities for future research.

BACKGROUND

HPB robotic surgery is reaching the IDEAL 2b exploration phase for innovative technology. An objective assessment endorsed by the HPB community is timely and needed.

METHODS

The ROBOT4HPB conference developed consensus guidelines using the Zurich-Danish model. An impartial and multidisciplinary jury produced unbiased guidelines based on the work of 10 expert panels answering predefined key questions and considering the best-quality evidence retrieved after a systematic review. The recommendations conformed with the GRADE and SIGN50 methodologies.

RESULTS

Sixty-four experts from 20 countries considered 285 studies, and the conference included an audience of 220 attendees. The jury (n=10) produced recommendations or statements covering 5 sections of robotic HPB surgery: technology, training and expertise, outcome assessment, and liver and pancreatic procedures. The recommendations supported the feasibility of robotics for most HPB procedures and its potential value in extending minimally invasive indications, emphasizing, however, the importance of expertise to ensure safety. The concept of expertise was defined broadly, encompassing requirements for credentialing HPB robotics at a given center. The jury prioritized relevant questions for future trials and emphasized the need for prospective registries, including validated outcome metrics for the forthcoming assessment of HPB robotics.

CONCLUSIONS

The ROBOT4HPB consensus represents a collaborative and multidisciplinary initiative, defining state-of-the-art expertise in HPB robotics procedures. It produced the first guidelines to encourage their safe use and promotion.

Expanding Applications and Future of Robotic Microsurgery

Robotic-assisted microsurgery has emerged as a transformative technology, offering enhanced precision for complex procedures across various fields, including lymphatic surgery, breast reconstruction, trauma, and neurosurgery. This paper reviews current advancements, applications, and potential future directions for robotic-assisted microsurgery. In lymphatic surgery, robotic systems such as Symani have improved precision in thoracic duct reconstruction and lymphatic vessel anastomoses, reducing morbidity despite longer surgery times. In breast reconstruction, robotic systems are being used to refine techniques like the miraDIEP approach, minimizing tissue damage and enhancing precision in individualized treatments. Trauma reconstruction, particularly for extremities, has also benefited from robotic assistance, enabling successful sutures in small vessels and nerves. Emerging applications in meningeal lymphatics show potential for treating neurodegenerative diseases through improved drainage. In neurosurgery, robots enhance precision in deep and narrow anatomic spaces, although advancements in specialized instruments are needed for full implementation. Future development of robotic microsurgery systems will focus on improved maneuverability, miniaturization, and integration of tools like augmented reality and haptic feedback. The goal is to combine robotic precision, data storage, and processing with human skills such as judgment and flexibility. Although robots are unlikely to replace surgeons, they are poised to play an increasingly significant role in enhancing surgical outcomes. As the technology evolves, further research and clinical trials are needed to refine robotic systems and validate their expanding applications in clinical practice.

Global trends and hotspots in robotic surgery over the past decade: a bibliometric and visualized analysis

Since its introduction, robotic surgery has experienced rapid development and has been extensively implemented across various medical disciplines. It is crucial to comprehend the advancements in research and the evolutionary trajectory of its thematic priorities. This research conducted a bibliometric analysis on the literature pertaining to robotic surgery, spanning the period from 2014 to 2023, sourced from the Web of Science database. The objective was to delineate the publication trends and trace the development of research topics within the domain of robotic surgery. From 2014 to 2023, there has been a consistent upward trend in the annual volume of publications concerning robotic surgery. The United States emerges as the leading country in terms of both the number of publications (n=3402) and citations (n=57731). The Journal of Robotic Surgery has the highest number of publications (n=506), while IEEE Transactions on Robotics has the highest number of citations (n=53). Yonsei University is the institution with the greatest number of publications (n=196), and the University of Washington has the highest average citation count (n=30). Alexandre Mottrie is the author with the most publications and citations (n=70 publications, n=1816 citations). Keyword analysis revealed seven distinct clusters: (1) applications and techniques of robotic surgery; (2) urological surgery and associated complications; (3) gastrointestinal diseases and surgical interventions; (4) robotic thyroid surgery and related complications; (5) gynecological diseases and corresponding surgical procedures; (6) Da Vinci robot and its training; (7) pulmonary diseases and associated surgeries. Artificial intelligence (AI) has been identified as a newly emerging keyword in the field. The corpus of literature on robotic surgery has seen a steady rise over the past decade, marked by extensive collaboration among various countries, institutions, and researchers. This study has delineated the global trends, identified research hotspots, highlighted emerging topics, and outlined the foundational knowledge within the field of robotic surgery. Looking forward, the integration of AI with robotic surgery is poised to offer substantial benefits and is anticipated to become a pivotal trend and area of focus in the field's future advancement.

Does robotic-assisted unicompartmental knee arthroplasty improve alignment and outcomes?

Unicompartmental knee arthroplasty (UKA) continues to increase in popularity as an excellent option for patients with single compartment disease. Robotic-assisted UKA has emerged as an optional tool with hopes for improvement in component placement, limb alignment, and patient outcomes. Furthermore, as patients continue to educate themselves, robotic assistance will become increasingly prevalent. There are now various robotic platforms on the market, each with varying differences, and more published data are emerging on alignment and outcomes. The literature to date largely concludes that robotic-assisted UKA provides more accuracy than manual UKA. Short- to mid-term outcomes may be improved with robotic UKA, but definitive differences in outcomes are uncertain. Survivorship with robotic UKA is non-inferior to reported manual UKA survivorship rates, and more long-term data are needed to fully elucidate this point. Orthopaedic surgeons should weigh these potential advantages against the drawbacks including cost and operative time when making a decision about whether robotic technology is right for their practice.

Initial Experience With VELYS Robot-Assisted Total Knee Replacement: Coronal Plane Accuracy and Effect of Robotic Training on Outcomes

INTRODUCTION

The use of robots for arthroplasty is gaining momentum in recent times to provide accuracy in bony cuts and alignment. We aimed to study the efficacy of coronal plane correction with a new robotic system (VELYS™ Robotic-Assisted Surgery) and also the effect of the learning curve of robot-assisted total knee arthroplasty (RATKA) on outcomes. We hypothesize that the benefits of RATKA are not limited to only surgeons having specific training in robotic knee replacement.

MATERIALS AND METHODS

A total of 101 RATKAs were performed between November 1, 2022, and December 1, 2022, by a surgeon and all the cases were included in this study. The first 50 consecutive knees were considered as 'Cohort I' and the next 51 consecutive knees as 'Cohort II'. The intraoperative robotic registration data and tourniquet time were recorded. On three months follow‑up, Oxford Knee Score and lower limb scannogram were recorded.

RESULTS

All the 101 cases achieved the desired coronal plane alignment within 3 degrees from neutral. There was a significant difference in the tourniquet time between the two groups. There was no significant difference in the mean three months post-operative values of coronal and sagittal deformity correction, range of flexion, and Oxford Knee Score between the two groups.

CONCLUSION

The VELYS™​​​​​​​ robot-assisted system produces an accurate correction of coronal alignment. As the surgeon's experience increases with the system, there is a reduction in tourniquet time; however, the degree of deformity correction is comparable to that when he had no experience. Hence the benefits of RATKA are not limited to only surgeons having specific training in robotic-assisted knee replacement.

Upcoming multi-visceral robotic surgery systems: a SAGES review

BACKGROUND

Robotic surgical procedures continue to increase both in the United States (US) and worldwide. Several novel robotic surgical platforms are under development or undergoing regulatory approval. This review explores robotic platforms that are expected to reach US consumers within the next 2-3 years.

METHODS

The SAGES Robotic Platforms Working Group identified robotic surgery platforms in various stages of development and selected multi-visceral systems nearing or completing the US Food and Drug Administration (FDA) approval process. We outline key system components including architecture, unique features, development status, regulatory approval, and expected markets.

RESULTS

We identified twenty robotic platforms that met our selection criteria. Ten companies were based in North America, and ten were based in Europe or Asia. Each system is described in detail and key features are summarized in table form for easy comparison.

CONCLUSION

The emergence of novel robotic surgical platforms represents an important evolution in the growth of minimally invasive surgery. Increased competition has the potential to bring value to surgical patients by stimulating innovation and driving down cost. The impact of these platforms remains to be determined, but the continued growth of robotic surgery seems to be all but assured.

Evolution of Robotics in Neurosurgery

Technology and neurosurgery have gone hand in hand since a long time. Technological development of robotics in neurosurgery over the last couple of decades has been rapid, yet it still has a long way to go before it becomes a "routine" element of the standard neurosurgical procedure. Apart from the obvious advantages they have over humans, that is, precision, consistency, endurance, and reproducibility, robots also provide additional freedom of movement beyond what is anatomically feasible for humans. Since its first practical application in 1985, the promise of robotics has spurred development and design of numerous such devices for application in neurosurgery. In the current era, the role of robots in neurosurgery is limited to programming movements and planning trajectories for deep cranial targets, biopsies, spinal screw placements, deep brain stimulation, and stereotactic radiosurgery. This narrative, nonsystematic review discusses the evolution of various robotic systems, with a focus on their neurosurgical applications.

Laparoscopic Robotic Assisted Surgery in Reproductive Medicine

Laparoscopic Robot-assisted surgery is one of the most promising and rapidly developing surgical advancements of the twenty-first century with a potential to make significant contributions to reproductive medicine and preservation of fertility. Presently, laparoscopic robotic assisted surgery is used for various benign and malignant gynecological procedures, including fertility enhancing procedures. Laparoscopic Robot-assisted surgery is superior to traditional open procedures with regards to post-surgical hospital stay and blood loss; however, the difference is comparable to laparoscopic surgery. Regarding operative times, the results have been inconsistent due to variations in surgeons' experience. The primary drawbacks of robotic systems are their high installation and maintenance costs and historical lack of tactile feedback; however, this has been overcome by the most recent evolution of robotic systems. Along with the major advances in cancer therapy, the number of female cancer survivors of reproductive age has dramatically increased. Consequently, fertility preservation and fertility enhancement have gained more emphasis in reproductive surgery in the last decade. A broad range of surgical procedures such as tubal reanastomosis, myomectomy, treatment of deep infiltrating endometriosis, ovarian transposition, radical trachelectomy, and ovarian transplantation has been introduced to restore or preserve fertility using Laparoscopic Robot-assisted surgery. In this article, we aim to present the current applications, advantages, and disadvantages of Laparoscopic Robot-assisted surgical technology in the field of reproductive surgery, including the more recent advances of Artificial Intelligence (AI) in the field.

Nanorobots mediated drug delivery for brain cancer active targeting and controllable therapeutics

Brain cancer pose significant life-threats by destructively invading normal brain tissues, causing dysneuria, disability and death, and its therapeutics is limited by underdosage and toxicity lying in conventional drug delivery that relied on passive delivery. The application of nanorobots-based drug delivery systems is an emerging field that holds great potential for brain cancer active targeting and controllable treatment. The ability of nanorobots to encapsulate, transport, and supply therapies directly to the lesion site through blood-brain barriers makes it possible to deliver drugs to hard-to-reach areas. In order to improve the efficiency of drug delivery and problems such as precision and sustained release, nanorobots are effectively realized by converting other forms of energy into propulsion and motion, which are considered as high-efficiency methods for drug delivery. In this article, we described recent advances in the treatment of brain cancer with nanorobots mainly from three aspects: firstly, the development history and characteristics of nanorobots are reviewed; secondly, recent research progress of nanorobots in brain cancer is comprehensively investigated, like the driving mode and mechanism of nanorobots are described; thirdly, the potential translation of nanorobotics for brain diseases is discussed and the challenges and opportunities for future research are outlined.

The pharmacist's role in optimizing medication management before, during, and after minimally invasive and bariatric surgery

PURPOSE

Minimally invasive surgery (MIS) with integrated enhanced recovery pathways (ERPs) helps reduce length of stay and improve surgical outcomes. As these procedures have become more prevalent over time, pharmacists are in key positions to manage medications in the perioperative space to help optimize transitions of care and reduce safety events. Here we identify several clinical areas across phases of care for these procedures in which the knowledge and guidance of pharmacists, as members of the interprofessional team, are paramount.

SUMMARY

Perioperative pharmacy expertise is often required for MIS procedures in the areas of acid suppression, antithrombotic management, blood glucose control, drug formulation, immunosuppressant optimization, pain mitigation, and postoperative nausea and vomiting prevention and treatment. For each MIS procedure, pharmacists should identify and consider diet and anatomical changes as well as patient- and surgery-specific risk factors. Pharmacists can then utilize their knowledge of the pharmacokinetics and pharmacodynamics of individual medications along with evidence-based medicine to recommend selection of appropriate agents.

CONCLUSION

Pharmacist contributions to perioperative medication management for MIS procedures can improve care as surgical patients navigate transitions through the perioperative setting. Pharmacists can further incorporate medication expertise through development and implementation of institutional MIS protocols within the context of ERPs. As such, any pharmacist should feel empowered to aid in the care of surgical patients.

Integrating AI into Breast Reconstruction Surgery: Exploring Opportunities, Applications, and Challenges

Background: Artificial intelligence (AI) has significantly influenced various sectors, including healthcare, by enhancing machine capabilities in assisting with human tasks. In surgical fields, where precision and timely decision-making are crucial, AI's integration could revolutionize clinical quality and health resource optimization. This study explores the current and future applications of AI technologies in reconstructive breast surgery, aiming for broader implementation. Methods: We conducted systematic reviews through PubMed, Web of Science, and Google Scholar using relevant keywords and MeSH terms. The focus was on the main AI subdisciplines: machine learning, computer vision, natural language processing, and robotics. This review includes studies discussing AI applications across preoperative, intraoperative, postoperative, and academic settings in breast plastic surgery. Results: AI is currently utilized preoperatively to predict surgical risks and outcomes, enhancing patient counseling and informed consent processes. During surgery, AI supports the identification of anatomical landmarks and dissection strategies and provides 3-dimensional visualizations. Robotic applications are promising for procedures like microsurgical anastomoses, flap harvesting, and dermal matrix anchoring. Postoperatively, AI predicts discharge times and customizes follow-up schedules, which improves resource allocation and patient management at home. Academically, AI offers personalized training feedback to surgical trainees and aids research in breast reconstruction. Despite these advancements, concerns regarding privacy, costs, and operational efficacy persist and are critically examined in this review. Conclusions: The application of AI in breast plastic and reconstructive surgery presents substantial benefits and diverse potentials. However, much remains to be explored and developed. This study aims to consolidate knowledge and encourage ongoing research and development within the field, thereby empowering the plastic surgery community to leverage AI technologies effectively and responsibly for advancing breast reconstruction surgery.

Conventional versus Robot-Assisted Immediate Breast Reconstruction: Reconstructive Outcome and Patient-Reported Outcome Measures

BACKGROUND

In this study, the authors compared conventional and robot-assisted mastectomy and breast reconstruction. To the authors' knowledge, this study is the first to report the results of robot-assisted mastectomy and breast reconstruction and provide a comparison of patient-reported outcomes.

METHOD

This retrospective study included 473 breasts of 423 patients who underwent conventional mastectomy and breast reconstruction and 164 breasts of 153 patients who underwent robot-assisted mastectomy and breast reconstruction from July of 2019 to October of 2021. Demographic and oncologic data, reconstructive outcomes, and patient-reported outcomes (BREAST-Q) were evaluated. The results of implant-based and autologous breast reconstruction were evaluated separately.

RESULTS

Skin necrosis requiring surgical débridement occurred significantly more frequently in the conventional group (8.0%) than in the robot-assisted group (2.0%) in implant-based reconstruction ( P = 0.035). At 6 to 12 months, patients who underwent robot-assisted breast reconstruction showed a higher Sexual Well-being score for implant-based reconstruction and a higher Physical Well-being score for autologous breast reconstruction than conventional breast reconstruction according to the BREAST-Q questionnaire.

CONCLUSIONS

Robot-assisted mastectomy and breast reconstruction was associated with less skin necrosis and better patient-reported outcomes (Sexual Well-being for implant-based reconstruction and Physical Well-being for autologous breast reconstruction) than the conventional option. Robotic surgery could be a good option for mastectomy and breast reconstruction.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Therapeutic, III.

Robotics and Artificial Intelligence in Minimally Invasive Spine Surgery: A Bibliometric and Visualization Analysis

OBJECTIVE

This study aims to highlight the trends in the minimally invasive spine surgery (MISS) research field from the bibliometrics perspective.

METHODS

The articles and reviews from 2002 to 2022 were manually retrieved from Scopus based on predefined inclusion criteria. A total of 296 articles for robotics and 13 articles for AI were included in the final analysis. All publication records were imported and analyzed in Microsoft Excel and VOSviewer.

RESULTS

An increase in the number of publications per year was observed in the last five years. For robotics, the United States published the largest number of articles (161), but the Netherlands had the highest total citations (1216). Beijing Jishuitan Hospital, China, was the most prolific institution. For journals, World Neurosurgery had the most publications (31), while Spine journal was the most impactful (average citation index = 86.6). Wang T.Y was the author with the most published articles (5). For AI, the United States had the greatest number of publications (10) and the highest citations (229). Global Spine Journal had the most publications (3), while Spine had the most citations (112). Kim J.S. was the most cited author (102). Recent keywords mainly focused on techniques and prognoses using these modalities in MISS. There were relatively fewer collaborations among countries.

CONCLUSIONS

An increasing trend in publications regarding robotics and AI use reflects the recent MISS technique advancements. Our findings can provide useful information to identify potential research fronts in the coming years. Enhanced collaboration on an international level should be pursued.

Robotic Surgery in Gynecologic Oncology-A Bibliometric Study

STUDY OBJECTIVE

To characterize robotic surgery publications in gynecologic oncology, and to identify factors associated with high citation metrics.

DESIGN

A cross-sectional study SETTING: Original articles on robotic surgery in gynecologic oncology.

PATIENTS

No patients involved.

INTERVENTIONS

Robotic surgeries in gynecologic oncology.

MEASUREMENTS AND MAIN RESULTS

We performed PubMed Medical Subject Headings search for original articles on robotic surgery in gynecologic oncology. We analyzed citation scores and income level of country of publication, as well as factors associated with high citation metrics. Overall, 566 studies during 2005 to 2023 were included. Of those 292, 51.6% were from North America, and 182 32.2% from Europe. The leading tumor site studied was endometrial cancer (57.4%). The majority (87.6%) of studies were retrospective and 13 (2.3%) were randomized controlled trials. Most studies (94.2%) originated in high-income countries. Articles from middle-income countries had lower citations per year as compared to high-income countries (median 1.6 vs 2.5, p =.002) and were published in lower-impact factor journals (median 2.6 vs 4.3, p < .001) when compared with high-income countries. Cervical cancer studies had higher representation in middle-income countries than in high-income countries (48.5% vs 18.4%, p < .001). In a multivariable regression analysis, journal's impact factor [aOR 95% CI 1.26 (1.12-1.40)], cervical cancer topic [aOR 95% CI 3.0 (1.58-5.91)], and North American publications [aOR 95% CI 2.07 (1.08-3.97)] were independently associated with higher number of citations per year.

CONCLUSION

The majority of robotic surgery research in gynecologic oncology is retrospective and from high-income countries. Middle-income countries are not as frequently cited and are predominantly in lower-impact factor journals.

Analyzing the emergence of surgical robotics in Africa: a scoping review of pioneering procedures, platforms utilized, and outcome meta-analysis

Purpose

Surgical practice globally has undergone significant advancements with the advent of robotic systems. In Africa, a similar trend is emerging with the introduction of robots into various surgical specialties in certain countries. The need to review the robotic procedures performed, platforms utilized, and analyze outcomes such as conversion, morbidity, and mortality associated with robotic surgery in Africa, necessitated this study. This is the first study examining the status and outcomes of robotic surgery in Africa.

Methods

A thorough scoping search was performed in PubMed, Google Scholar, Web of Science, and African Journals Online. Of the 1,266 studies identified, 16 studies across 3 countries met the inclusion criteria. A meta-analysis conducted using R statistical software estimated the pooled prevalences with the 95% confidence interval (CI) of conversion, morbidity, and mortality.

Results

Surgical robots are reportedly in use in South Africa, Egypt, and Tunisia. Across four specialties, 1,328 procedures were performed using da Vinci (Intuitive Surgical), Versius (CMR Surgical), and Senhance (Asensus Surgical) surgical robotic platforms. Urological procedures (90.1%) were the major procedures performed, with robotic prostatectomy (49.3%) being the most common procedure. The pooled rate of conversion and prevalence of morbidity from the meta-analysis was 0.21% (95% CI, 0%-0.54%) and 21.15% (95% CI, 7.45%-34.85%), respectively. There was no reported case of mortality.

Conclusion

The outcomes highlight successful implementation and the potential for wider adoption. Based on our findings, we advocate for multidisciplinary and multinational collaboration, investment in surgical training programs, and policy initiatives aimed at addressing barriers to the widespread adoption of robotic surgery in Africa.

Progress, challenges, and future perspectives of robot-assisted natural orifice specimen extraction surgery for colorectal cancer: a review

With the continuous advancements in precision medicine and the relentless pursuit of minimally invasive techniques, Natural Orifice Specimen Extraction Surgery (NOSES) has emerged. Compared to traditional surgical methods, NOSES better embodies the principles of minimally invasive surgery, making scar-free operations possible. In recent years, with the progress of science and technology, Robot-Assisted Laparoscopic Surgery has been widely applied in the treatment of colorectal cancer. Robotic surgical systems, with their clear surgical view and high operational precision, have shown significant advantages in the treatment process. To further improve the therapeutic outcomes for colorectal cancer patients, some scholars have attempted to combine robotic technology with NOSES. However, like traditional open surgery or laparoscopic surgery, the use of the robotic platform presents both advantages and limitations. Therefore, this study reviews the current research status, progress, and controversies regarding Robot-Assisted Laparoscopic Natural Orifice Specimen Extraction Surgery for colorectal cancer, aiming to provide clinicians with more options in the diagnosis and treatment of colorectal cancer.

Robotic surgery: bibliometric analysis, continental distribution, and co-words analysis from 2001 to 2023

The project aimed to conduct an up-to-date and comprehensive bibliometric analysis of robotic surgery to provide a detailed and holistic understanding of the field. Three strategies were employed in the data analysis i.e. search terms were explored in (A) the title, abstract, and keywords and (B) only in the title of the documents. In 3rd part we analyzed the top 100 most cited papers. Vosviewer and R Studio were utilized for detailed bibliometric and network analyses. Strategy one identified 38,469 publications, and strategy two identified 6451 publications from 2001 to 2023. The top authors, universities, countries, sponsors, and sources based on the number of publications were identified for both strategies. The top 100 most cited papers were analyzed, providing the annual number of publications and various citation metrics. Top authors (by number of publications, total citations, h-index, g-index, and m-index), universities, and countries within these highly cited papers, along with their co-authorship networks and dynamics, were examined. Co-words analysis of the top 100 most cited papers revealed the primary focus of these documents across 25 categories. This comprehensive bibliometric analysis of robotic surgery highlighted significant contributions and collaborations in the field, emphasizing the importance of global and collaborative efforts in advancing robotic surgery research.

Evolution of Neurosurgical Robots: Historical Progress and Future Direction

In 1985, Professor KWOH first introduced robots into neurosurgery. Since then, advancements of stereotactic frames, radiographic imaging, and neuronavigation have led to the dominance of classic stereotactic robots. A comprehensive retrieval was performed using academic databases and search agents to acquire professional information, with a cutoff date of June, 2024. This reveals a multitude of emerging technologies are coming to the forefront, including tremor filtering, motion scaling, obstacle avoidance, force sensing, which have made significant contributions to the high efficiency, high precision, minimally invasive, and exact efficacy of robot-assisted neurosurgery. Those technologies have been applied in innovative magnetic resonance-compatible neurosurgical robots, such as Neuroarm and Neurobot, with real-time image-guided surgery. Despite these advancements, the major challenge is considered as magnetic resonance compatibility in terms of space, materials, driving, and imaging. Future research directions are anticipated to focus on 1) robotic precise perception; 2) artificial intelligence; and 3) the advancement of telesurgery.

Going under Dr. Robot's knife: the effects of robot anthropomorphism and mortality salience on attitudes toward autonomous robot surgeons

OBJECTIVE

This study sought to experimentally test two potential factors that could affect the consumer acceptance of autonomous robot surgeons: anthropomorphism and mortality salience. The study also investigated the effect of gender and its interaction with anthropomorphism on attitudes toward autonomous robot surgeons.

DESIGN AND MAIN OUTCOME MEASURES

A between-subjects experiment with a 2 (anthropomorphism: low vs. high) x 2 (mortality salience: no vs. yes) factorial design was conducted (N = 196). The trust in the autonomous surgical robot and the willingness to undergo autonomous robotic surgery served as the dependent variables.

RESULTS

When death thoughts were not active, the human-likeness of the autonomous surgical robot significantly increased the trust in the robot and the willingness to undergo autonomous robotic surgery. Activating death thoughts did not further increase the positive attitudes toward the higher-anthropomorphic robot, while it significantly increased the trust in and the willingness to be operated on by the lower-anthropomorphic robot, rendering both robots comparable. This study also found that women had less positive attitudes toward the autonomous robot surgeon, regardless of the robot's human-likeness.

CONCLUSION

Anthropomorphism and mortality salience can both positively affect the acceptance of autonomous robotic surgery but only in the absence of one another.

Efficacy and safety of a neurointerventional operation robotic assistance system in cerebral angiography

BACKGROUND

At present, neurointerventional surgery requires angiographers to perform operations in the digital subtraction angiography (DSA) room. Ionising radiation and chronic joint damage are still unavoidable for angiographers. Therefore, we researched and developed a neurointerventional robot-assisted system, which is operated by angiographers in an operating room outside the DSA room. We have conducted a prospective, multicentre, randomised controlled trial to evaluate the safety and efficacy of a robot-assisted system in human cerebral angiography. In the future, this research will provide a platform for the research and development of an intelligent surgical system and bring revolutionary progress in neurointerventional surgery.

METHODS

From December 2020 to December 2021, 260 patients were enrolled from three medical centres, who were randomly and equally divided into a robot-assisted system group and a clinical routine cerebral angiography group. The success rate of angiography, the rate of the catheter reaching the target vessel, the operation time, X-ray radiation exposure and the incidence of related adverse events were compared between the two groups.

RESULTS

A total of 257 patients completed this trial; baseline characteristics of the two groups did not differ significantly. The success rate of angiography in both the control group and the experimental group was 100%. The rate of the catheter reaching the target vessel was 99.23% and 100.00% in the control and experimental groups, respectively. For the control versus experimental groups, the angiographic operation time was 48.59±25.60 min versus 47.94±27.49 min, respectively; the X-ray radiation dose was 735.01±554.77 mGy versus 821.65±705.45 mGy, respectively; and the incidence of adverse events was 23.44% versus 22.48%, respectively. No statistical differences were present between the two groups.

CONCLUSION

The robot-assisted surgical system is more convenient for cerebral angiography and is as safe and effective as the traditional cerebral angiography.

Robotics in total knee replacement: Current use and future implications

Robotic total knee replacement (TKR) surgery has evolved over the years with the aim of improving the overall 80% satisfaction rate associated with TKR surgery. Proponents claim higher precision in executing the pre-operative plan which results in improved alignment and possibly better clinical outcomes. Opponents suggest longer operative times with potentially higher complications and no superiority in clinical outcomes alongside increased costs. This editorial will summarize where we currently stand and the future implications of using robotics in knee replacement surgery.

Implementing a robotic hepatopancreatobiliary program for new faculty: safety, feasibility and lessons learned

Robotic surgery is increasingly utilized in hepatopancreatobiliary (HPB) surgery, but the learning curve is a substantial obstacle hindering implementation. Comprehensive robotic training can help to surmount this obstacle; however, despite the expansion of robotic training into residency and fellowship programs, limited data are available about how this translates into successful incorporation in faculty practice. All operations performed during the first three years of practice of a surgical oncologist at a tertiary care academic institution were retrospectively reviewed. The surgeon underwent comprehensive robotic training during residency and fellowship. 137 HPB operations were performed during the initial three years of practice. Over 80% were performed robotically each year across a spectrum of HPB procedures with a 6% conversion rate. Median operative time, a metric for operative proficiency and evaluation for a learning curve, was similar throughout the study period for each major operation and below several reported optimized operative time benchmarks. The major complications, defined as a Clavien-Dindo of 3 or more, were similar across the experience and comparable to published series. Comprehensive robotic training in residency and fellowship as well as a dedicated, well-trained operative team allows for early attainment of optimized outcomes in a new HPB robotic practice.

Revolutionary Advances of Robotic Surgery in Urology Field

The advent of robotic surgery has significantly impacted various surgical fields, particularly urology, gynecology, general surgery, and cardiac surgery. While the da Vinci robotic platform has been predominant over the past two decades, recent years have witnessed the emergence of new robotic platforms in Japan, now actively used in clinical practice. Currently, the available systems in Japan, alongside the da Vinci, include the Hinotori, Senhance, Hugo Ras, and Saroa surgical systems. This review focuses on comparing the notable functions of each system in urologic surgery, emphasizing the areas in which they differ from the da Vinci robotic platform. The development of new robotic systems is ongoing, promising not only cost reductions but also the introduction of innovative devices and educational systems. Soft robotics, which constructs robotic devices using soft, adaptable materials, has the potential to become central to the next generation of robotic surgery. Moreover, the collaboration between Artificial Intelligence (AI) and robotic surgery significantly contributes to increasing efficiency, accuracy, and safety in the medical field, with more innovative applications expected in the future.

The current state of autonomous suturing: a systematic review

BACKGROUND

Robotic technology is an important tool in surgical innovation, with robots increasingly being used in the clinical setting. Robots can be used to enhance accuracy, perform remote actions, or to automate tasks. One such surgical task is suturing, a repetitive, fundamental component of surgery that can be tedious and time consuming. Suturing is a promising automation target because of its ubiquity, repetitive nature, and defined constraints. This systematic review examines research to date on autonomous suturing.

METHODS

A systematic review of the literature focused on autonomous suturing was conducted in accordance with PRISMA guidelines.

RESULTS

6850 articles were identified by searching PubMed, Embase, Compendex, and Inspec. Duplicates and non-English articles were removed. 4389 articles were screened and 4305 were excluded. Of the 84 remaining, 43 articles did not meet criteria, leaving 41 articles for final review. Among these, 34 (81%) were published after 2014. 31 (76%) were published in an engineering journal9 in a robotics journal, and 1 in a medical journal. The great majority of articles (33, 80%) did not have a specific clinical specialty focus, whereas 6 (15%) were focused on applications in MIS/laparoscopic surgery and 2 (5%) on applications in ophthalmology. Several suturing subtasks were identified, including knot tying, suture passing/needle insertion, needle passing, needle and suture grasping, needle tracking/kinesthesia, suture thread detection, suture needle shape production, instrument assignment, and suture accuracy. 14 articles were considered multi-component because they referred to several previously mentioned subtasks.

CONCLUSION

In this systematic review exploring research to date on autonomous suturing, 41 articles demonstrated significant progress in robotic suturing. This summary revealed significant heterogeneity of work, with authors focused on different aspects of suturing and a multitude of engineering problems. The review demonstrates increasing academic and commercial interest in surgical automation, with significant technological advances toward feasibility.

Implementing a Robotic Hepatopancreatobiliary Program for New Faculty: Safety, Feasibility and Lessons Learned

Background

Robotic surgery is increasingly utilized in hepatopancreatobiliary (HPB) surgery, but the learning curve is a substantial obstacle hindering implementation. Comprehensive robotic training can help to surmount this obstacle; however, despite the expansion of robotic training into residency and fellowship programs, limited data is available about how this translates into successful incorporation in faculty practice.

Methods

All operations performed during the first three years of practice of a complex general surgical oncology-trained surgical oncologist at a tertiary care academic institution were retrospectively reviewed. The surgeon underwent comprehensive robotic training during residency and fellowship.

Results

137 HPB operations were performed during the initial three years of practice. Over 80% were performed robotically each year across a spectrum of HPB procedures with a 6% conversion rate. Median operative time, the optimal metric for operative proficiency and evaluation for a learning curve, was similar throughout the study period for each major operation and below several reported optimized operative times. Major complications were similar across the experience and comparable to published series.

Conclusion

Comprehensive robotic training in residency and fellowship as well as a dedicated, well-trained operative team allows for early attainment of optimized outcomes in a new HPB robotic practice.

Clinical application of robots in dentistry: A scoping review

PURPOSE

The surge in digitalization and artificial intelligence has led to the wide application of robots in various fields, but their application in dentistry started relatively late. This scoping review aimed to comprehensively explore and map the current status of the clinical application of robots in dentistry.

STUDY SELECTION

An iterative approach was used to gather as much evidence as possible from four online databases, including PubMed, the China National Knowledge Infrastructure, the Japan Science and Technology Information Aggregator, Electronic, and the Institute of Electrical and Electronics Engineers, from January 1980 to December 2022.

RESULTS

A total of 113 eligible articles were selected from the search results, and it was found that most of the robots were developed and applied in the United States (n = 56; 50%). Robots were clinically applied in oral and maxillofacial surgery, oral implantology, prosthodontics, orthodontics, endodontics, and oral medicine. The development of robots in oral and maxillofacial surgery and oral implantology is relatively fast and comprehensive. About 51% (n = 58) of the systems had reached clinical application, while 49% (n = 55) were at the pre-clinical stage. Most of these are hard robots (90%; n = 103), and their invention and development were mainly focused on university research groups with long research periods and diverse components.

CONCLUSIONS

There are still limitations and gaps between research and application in dental robots. While robotics is threatening to replace clinical decision-making, combining it with dentistry to gain maximum benefit remains a challenge for the future.

The evolution of robotics: research and application progress of dental implant robotic systems

The use of robots to augment human capabilities and assist in work has long been an aspiration. Robotics has been developing since the 1960s when the first industrial robot was introduced. As technology has advanced, robotic-assisted surgery has shown numerous advantages, including more precision, efficiency, minimal invasiveness, and safety than is possible with conventional techniques, which are research hotspots and cutting-edge trends. This article reviewed the history of medical robot development and seminal research papers about current research progress. Taking the autonomous dental implant robotic system as an example, the advantages and prospects of medical robotic systems would be discussed which would provide a reference for future research.

Efficacy of computer-assisted robotic based clinical training program for spinal oncology education on pedicle screw placement

Pedicle screw placement (PSP) is the fundamental surgical technique that requires high accuracy for novice orthopedists studying spinal oncology education. Therefore, we set forth to establish a computer-assisted robotic navigation training program for novice spinal oncology education. Novice orthopedists were involved in this study to evaluate the feasibility and safety of the computer-assisted robotic navigation (CARN) training program. In this research, trainees were randomly taught by the CARN training program and the traditional training program. We prospectively collected the clinical data of patients with spinal tumors from 1st May 2021 to 1st March 2022. The ability of PSP was evaluated by cumulative sum (CUSUM) analysis, learning curve, and accuracy of pedicle screws. The patients included in both groups had similar baseline characteristics. In the CUSUM analysis of the learning curve for accurate PSP, the turning point in the CARN group was lower than that in the traditional group (70th vs. 92nd pedicle screw). The LC-CUSUM test indicated competency for PSP at the 121st pedicle screw in the CARN group and the 138th pedicle screw in the traditional group. The accuracy of PSP was also significantly higher in the CARN group than in the traditional group (88.17% and 79.55%, P = 0.03 < 0.05). Furthermore, no major complications occurred in either group. We first described CARN in spinal oncology education and indicated the CARN training program as a novel, efficient and safe training program for surgeons.

Advancements in Robotic-Assisted Spine Surgery

Applications and workflows around spinal robotics have evolved since these systems were first introduced in 2004. Initially approved for lumbar pedicle screw placement, the scope of robotics has expanded to instrumentation across different regions. Additionally, precise navigation can aid in tumor resection or spinal lesion ablation. Robot-assisted surgery can improve accuracy while decreasing radiation exposure, length of hospital stay, complication, and revision rates. Disadvantages include increased operative time, dependence on preoperative imaging among others. The future of robotic spine surgery includes automated surgery, telerobotic surgery, and the inclusion of machine learning or artificial intelligence in preoperative planning.

[Robot-assisted Microsurgery in Lower Extremity Reconstruction]

BACKGROUND

In recent years, various robotic systems specifically designed for microsurgical tasks have been developed and approved. There is not much evidence for these systems to date. In our study, we examined the use of robot-assisted microsurgery in the reconstruction of the lower extremity.

PATIENTS/MATERIAL AND METHODS

Data was prospectively collected between February and November 2023. The Symani robotic system was used in 42 robot-assisted microsurgical procedures on the lower extremity, and the results were evaluated and documented.

RESULTS

The average age of the patients was 57±18 years. A total of 39 free flap reconstructions (95%), one lymphatic surgical procedure (3%) and two nerve transfers (5%) were performed. In total, 46 anastomoses and coaptations were carried out. This included six arterial end-to-end anastomoses (11%), seven arterial end-to-side anastomoses (13%), 36 venous end-to-end anastomoses (65%), two lymphovenous anastomoses (4%), and five epineural coaptations in the context of nerve transfers (9%). Arterial end-to-end anastomoses took an average of 26±12 minutes, and arterial end-to-side anastomoses took 42±21 minutes. The venous anastomoses took an average of 33±12 minutes. Epineural coaptations took an average of 24±13 minutes. In no procedure was there a need for a conversion to conventional hand suturing. There were two arterial thromboses (5%), one of which was successfully revised to save the flap. One total flap loss occurred, but there were no partial flap losses.

CONCLUSION

Using the Symani robotic system for microsurgical reconstruction of the lower extremity, we were able to demonstrate results that are comparable to conventional microsurgery.

Transferability of Technical Skills Across Robotic Surgery Platforms: A Scoping Review

As the application of robotic approaches to surgery continues to broaden, new consoles have been introduced to the market. Due to the global utilization of a single platform, previously validated curricula have not been assessed on new robotic systems. Surgery by its nature occurs in a high-stakes environment, potentially exacerbated by non-standardized robotic systems. The aim of this review is to critique the evidence available regarding the transferability of technical skills across robotic platforms. A scoping review utilizing the Medline (Pubmed) and Cochrane Databases was conducted. Full texts were reviewed and appraised. Selected articles were eligible for inclusion if they investigated the ability or implications of the transfer of skill across robotic platforms. Data was extracted, coded inductively, and themes synthesized. NVIVO software was used as an adjunct for this qualitative analysis. Following the removal of duplicates a total of 278 papers were screened according to the eligibility criteria. Fifty full-text articles were reviewed and four met the criterion for inclusion. Novices' performance across platforms was comparable. Increasing levels of prior robotic experience revealed an improvement in technical performance on a novel robotic platform. Safety metrics appear comparable across systems. Quantifying learning curves across robotic platforms and their implications for the robotic surgeon in training remains to be determined. Future research needs to address the gaps in the literature by clearly defining the extent of technical skills transfer between robotic platforms. These factors will guide the next iteration of surgical training curriculums and regulations for robotic surgery.

The distribution of robotic surgery in general and visceral surgery departments in Switzerland - a nationwide inquiry

Objectives

Since its introduction as a clinical technique, robotic surgery has been extended to different fields of surgery. However, the indications as well as the number of robotic procedures varied in different institutions. The aim of this investigation was to evaluate the current use of robotic surgery in general and digestive surgery in Switzerland.

Methods

All Swiss surgical departments that are recognized training institutes for postgraduate training in surgery by the Swiss Institute of Medical Education (SIWF) were queried with a detailed questionnaire regarding the use of robotic surgery techniques and were analyzed regarding hospital size and type of hospital.

Results

Ninety-three departments were queried, and 67 % (n=63) answered the survey. Fifty-eight were public, and five were private institutions. Seventeen (26 %) of the queried departments used robotic surgery in digestive surgery. Four out of 17 (23 %) of the departments that performed robotic surgery were private hospitals, while 13 (77 %) were public institutions. In the majority of departments, robotic surgery of the rectum (n=12; 70.6 %) and colon (n=11; 64.7 %) was performed, followed by hernia procedures (n=8; 47.1 %) and fundoplication (n=7; 41.2 %). Less frequently, pancreatic resections (n=5; 29.4 %), cholecystectomy (n=4; 23.5 %), adrenalectomy (n=4; 23.5 %), gastric bypass (n=3; 17.7 %), gastric sleeve (n=3; 17.7 %), hepatic procedures (n=2; 11.7 %), or small bowel resections (n=1; 5.9 %) were performed as robotic procedures. More than 25 procedures per year per department were performed for hernia surgery (n=5 departments), gastric bypass (n=2 departments), cholecystectomy, fundoplication, and colon surgery (each n=1 department).

Conclusions

The number and range of robotic procedures performed in Switzerland varied widely. Higher accreditation for general surgery or subspecialization of visceral surgery of the department was positively associated with the use of robotic techniques, reflecting an unequal availability of robotic surgery.

Safety and Feasibility of Single-Port Robotic-Assisted Nipple-Sparing Mastectomy

Importance

Robotic-assisted nipple-sparing mastectomies with multiport robots have been described in the US since 2015; however, significant hurdles to multiport robotic surgery exist in breast surgery.

Objective

To demonstrate that the single-port da Vinci SP (Intuitive Surgical) robotic system is feasible in patients undergoing robotic nipple-sparing mastectomy (rNSM).

Design, Setting, and Participants

An initial case series of 20 patients at a large university hospital underwent bilateral single-port robotic nipple-sparing mastectomies (SPrNSM) with tissue expander reconstruction from February 1, 2020, through January 4, 2023. Participants included women who met surgical criteria for nipple-sparing mastectomies, per standard of care.

Intervention

Surgery using a single-port robot and the surgical technique of the authors.

Main Outcomes and Measures

Age, indication, body mass index, breast size, operative time, conversion to open surgery, systemic complications, postoperative skin necrosis, and reported skin and nipple areolar complex (NAC) sensation.

Results

Twenty women aged 29 to 63 years (median, 40 years) underwent bilateral SPrNSM. Eleven patients completed prophylactic surgery due to a high risk for breast cancer (more than 20% lifetime risk) and 9 patients had breast cancer. Breast size ranged from A through D cup with median B cup and a body mass index range of 19.7 through 27.8 (median 24.4). The total duration of the procedure from incision to skin closure for both sides ranged from 205 minutes to 351 minutes (median, 277). The median robotic time for bilateral SPrNSM was 116 minutes and varied by cup size (A cup, 95 minutes; B cup, 140 minutes; C cup, 118 minutes; D cup, 114 minutes) with no inflection point in learning curve. No cases were converted to open and no immediate complications, such as hematoma, positive margins, or recurrence, were seen. In the first 10 patients prior to routine sensation testing, 20 resected breasts had measurable NAC sensation at a range from 4 to 36 months post-index resection (65%). In the second 10 patients of the cohort, measurable NAC was preserved in 13 of 20 resected breasts 2 weeks following the index operation (65%).

Conclusion and Relevance

In this case series, SPrNSM with immediate reconstruction was feasible and performed safely by an experienced breast surgeon with limited previous robotic training. Further studies confirming the preliminary data demonstrating improved NAC and skin sensation following SPrNSM are warranted.

Trial Registration

ClinicalTrials.gov Identifier: NCT05245812.

The downtrending cost of robotic bariatric surgery: a cost analysis of 47,788 bariatric patients

The surgical robot is assumed to be a fixed, indirect cost. We hypothesized rising volume of robotic bariatric procedures would decrease cost per patient over time. Patients who underwent elective, initial gastric bypass (GB) or sleeve gastrectomy (SG) for morbid obesity were selected from Florida Agency for Health Care Administration database from 2017 to 2021. Inflation-adjusted cost per patient was collected. Cost-over-time ($/patient year) and change in cost-over-time were calculated for open, laparoscopic, and robotic cases. Linear regression on cost generated predictive parameters. Density plots utilizing area under the curve demonstrated cost overlap. Among 76 hospitals, 11,472 bypasses (223 open, 6885 laparoscopic, 4364 robotic) and 36,316 sleeves (26,596 laparoscopic, 9724 robotic) were included. Total cost for robotic was approximately 1.5-fold higher (p < 0.001) than laparoscopic for both procedures. For GB, laparoscopic had lower total ($15,520) and operative ($6497) average cost compared to open (total $17,779; operative $9273) and robotic (total $21,756; operative $10,896). For SG, laparoscopic total cost was significantly less than robotic ($10,691 vs. $16,393). Robotic GB cost-over-time increased until 2021, when there was a large decrease in cost (-$944, compared with 2020). Robotic SG total cost-over time fluctuated, but decreased significantly in 2021 (-$490 compared with 2020). While surgical costs rose significantly in 2020 for bariatric procedures, our study suggests a possible downward trend in robotic bariatric surgery as total and operative costs are decreasing at a higher rate than laparoscopic costs.

Robotic systems in interventional oncology: a narrative review of the current status

Interventional oncology offers minimally invasive treatments for malignant tumors for curative and palliative purposes based on the percutaneous insertion of needles or catheters into the target location under image guidance. Robotic systems have been gaining increasing attention as tools that provide potential advantages for image-guided interventions. Among the robotic systems developed for intervention, those relevant to the oncology field are mainly those for guiding or driving the needles in non-vascular interventional procedures such as biopsy and tumor ablation. Needle-guiding robots support planning the needle path and align the needle robotically according to the planned trajectory, which is combined with subsequent manual needle insertion by the physician through the needle guide. Needle-driving robots can advance the needle robotically after determining its orientation. Although a wide variety of robotic systems have been developed, only a limited number of these systems have reached the clinical phase or commercialization thus far. The results of previous studies suggest that such interventional robots have the potential to increase the accuracy of needle placement, facilitate out-of-plane needle insertion, decrease the learning curve, and reduce radiation exposure. On the other hand, increased complexity and costs may be a concern when using robotic systems compared with conventional manual procedures. Further data should be collected to comprehensively assess the value of robotic systems in interventional oncology.

Clinical applications of robotic surgery platforms: a comprehensive review

Robotic surgery has expanded globally across various medical specialties since its inception more than 20 years ago. Accompanying this expansion were significant technological improvements, providing tremendous benefits to patients and allowing the surgeon to perform with more precision and accuracy. This review lists some of the different types of platforms available for use in various clinical applications. We performed a literature review of PubMed and Web of Science databases in May 2023, searching for all available articles describing surgical robotic platforms from January 2000 (the year of the first approved surgical robot, da Vinci® System, by Intuitive Surgical) until May 1st, 2023. All retrieved robotic platforms were then divided according to their clinical application into four distinct groups: soft tissue robotic platforms, orthopedic robotic platforms, neurosurgery and spine platforms, and endoluminal robotic platforms. Robotic surgical technology has undergone a rapid expansion over the last few years. Currently, multiple robotic platforms with specialty-specific applications are entering the market. Many of the fields of surgery are now embracing robotic surgical technology. We review some of the most important systems in clinical practice at this time.

Racial disparities in complications following elective colon cancer resection: Impact of laparoscopic versus robotic approaches

BACKGROUND

We sought to examine differences in outcomes for Black and White patients undergoing robotic or laparoscopic colectomy to assess the potential impact of technological advancement.

METHODS

We queried the ACS-NSQIP database for elective robotic (RC) and laparoscopic (LC) colectomy for cancer from 2012 to 2020. Outcomes included 30-day mortality and complications. We analyzed the association between outcomes, operative approach, and race using multivariable logistic regression.

RESULTS

We identified 64,460 patients, 80.9% laparoscopic and 19.1% robotic. RC patients were most frequently younger, male, and White, with fewer comorbidities (P ​< ​0.001). After adjustment, there was no difference in mortality by approach or race. Black patients who underwent LC had higher complications (OR 1.10, 95% CI 1.03-1.08, P ​= ​0.005) than their White LC counterparts and RC patients.

CONCLUSIONS

Robotic colectomy was associated with lower rates of complications in minority patients. Further investigation is required to identify the causal pathway that leads to our finding.

The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring

The next generation of surgical robotics is poised to disrupt healthcare systems worldwide, requiring new frameworks for evaluation. However, evaluation during a surgical robot's development is challenging due to their complex evolving nature, potential for wider system disruption and integration with complementary technologies like artificial intelligence. Comparative clinical studies require attention to intervention context, learning curves and standardized outcomes. Long-term monitoring needs to transition toward collaborative, transparent and inclusive consortiums for real-world data collection. Here, the Idea, Development, Exploration, Assessment and Long-term monitoring (IDEAL) Robotics Colloquium proposes recommendations for evaluation during development, comparative study and clinical monitoring of surgical robots-providing practical recommendations for developers, clinicians, patients and healthcare systems. Multiple perspectives are considered, including economics, surgical training, human factors, ethics, patient perspectives and sustainability. Further work is needed on standardized metrics, health economic assessment models and global applicability of recommendations.

Pediatric Brainstem Tumor Biopsy: Surgical Planning and Execution for Maximal Safety and Tissue Yield

Brainstem tumors account for 10-20% of pediatric brain tumors with a peak age of diagnosis between 7 and 9 years old and are often fatal. Historically, diagnosis of brainstem tumors has been largely based on imaging; however, recent studies have demonstrated the incongruities between preoperative MRI diagnosis and postoperative pathological findings highlighting the importance of brainstem biopsy for diagnostic accuracy. Stereotactic brainstem biopsy for pediatric brainstem tumors has been proven to be safe with a high diagnostic yield (96.1-97.4%) and relatively low morbidity and mortality. Successful pediatric brainstem tumor biopsy demands intricate knowledge of brainstem anatomy, cranial nerves and vasculature, and common pediatric brainstem tumors by the performing surgeon. Additionally, understanding of the surgical indications and techniques (e.g., frame-based versus frameless, robotic assistance, surgical approach, and targets selection) helps to ensure maximal safety and tissue yield. Pediatric brainstem biopsy permits histological conformation of brainstem lesions leading to accurate diagnosis and the potential for personalized treatment and future therapeutic research.

Deep Learning: A Primer for Neurosurgeons

This chapter explores the transformative impact of deep learning (DL) on neurosurgery, elucidating its pivotal role in enhancing diagnostic performance, surgical planning, execution, and postoperative assessment. It delves into various deep learning architectures, including convolutional and recurrent neural networks, and their applications in analyzing neuroimaging data for brain tumors, spinal cord injuries, and other neurological conditions. The integration of DL in neurosurgical robotics and the potential for fully autonomous surgical procedures are discussed, highlighting advancements in surgical precision and patient outcomes. The chapter also examines the challenges of data privacy, quality, and interpretability that accompany the implementation of DL in neurosurgery. The potential for DL to revolutionize neurosurgical practices through improved diagnostics, patient-specific surgical planning, and the advent of intelligent surgical robots is underscored, promising a future where technology and healthcare converge to offer unprecedented solutions in neurosurgery.