Gastrointestinal stromal tumors (GISTs) are mesenchymal tumors accounting for only a small fraction of all primary malignant tumors of the gastrointestinal tract. Histologically, GISTs are classified as epithelioid, spindle type, or mixed. We present a case of a 66-year-old male incidentally noted to have a pedunculated gastric mass along the lesser curvature of the stomach during a laparoscopic Nissen fundoplication and hiatal hernia repair. A wedge resection was performed and the pathology demonstrated a 3.7 cm GIST of epithelioid type. Four years after the initial surgery, a jejunal mass was identified via CT enterography as part of a workup for ongoing iron deficiency anemia. A laparoscopic small bowel resection was performed, and the pathology revealed a new primary 3.2 cm GIST of the spindle cell subtype. Three years after surgery, surveillance imaging is negative for any recurrence. This appears to be the first report of the occurrence of metachronous primary GISTs of different histologic subtypes, separated by location.

BACKGROUND:Adherence to preoperative weight loss recommendations may serve as a surrogate for the level of engagement in hiatal hernia (HH) patients. This study aims to evaluate the relationship between achieving preoperative weight loss goals and outcomes after HH repair. METHODS:A retrospective review of 235 patients undergoing laparoscopic HH repair at a single institution was performed. Patients were grouped based on the percentage of weight loss goal achieved. Low achievement was defined as the bottom quartile of goal achievement (≤75%); high achievement was defined as the top quartile (≥140%). Baseline characteristics, clinical outcomes, and patient reported outcomes (PROMs) were compared between groups. RESULTS:131/235 (55.7%) achieved their weight loss goal. No differences in baseline characteristics or clinical outcomes were observed between the low and high achievement groups. While both groups experienced improvements in PROMs postoperatively, patients in the high achievement group demonstrated significantly lower symptom burden at one-month postoperatively. Further, high-achievement patients were more likely to experience complete resolution of common HH symptoms at one-month postoperatively, including no difficulty swallowing food, no breathing difficulties or choking episodes, no choking when eating food, no choking when drinking liquid, and no regurgitation of food or liquid. CONCLUSIONS:In patients undergoing laparoscopic HH repair, patients achieving their preoperative weight loss goals experienced less overall symptom burden and lower prevalence of common symptoms one-month postoperatively than those with low levels of goal achievement. These results demonstrate that patients can take an active role in improving their own surgical outcomes and health status.

BACKGROUND:Prior studies have demonstrated the value of live streamed surgical procedures in surgical education and that learning is further enhanced with the use of 360-degree video. Emerging virtual reality (VR) technology now offers yet another advancement by placing learners in an immersive environment, which can improve both engagement and procedural learning.AIMS:The aim here is to test the feasibility of live streaming surgery in immersive virtual reality using consumer-level technology, including stream stability and impacts on case duration.METHODOLOGY:Ten laparoscopic procedures were live-streamed in a 360-degree immersive VR format over a 3-week period for viewing by surgical residents in a remote location wearing a head-mounted display. Stream quality, stability and latency were monitored, and operating room time was compared to non-streamed surgeries to quantify impacts on procedure times.CONCLUSIONS:This novel live streaming configuration was able to deliver high-quality, low-latency video directly to a VR platform, allowing complete immersion into the learning environment by remote learners. Live streaming surgical procedures in an immersive VR format provides an efficient, cost-effective, and reproducible way to teleport remote learners from any location directly into the operating room.

The aim of this review is to highlight the racial and ethnic differences in the prevalence, presentation, management, and outcomes of benign foregut disorders. Gastroesophageal reflux disease and achalasia make up the most common benign esophageal disorders. There are limited data in the literature regarding racial and ethnic disparities in the care and management of these disorders. However, studies have shown that racial and ethnic disparities play a role in the management of these disorders. To minimize the impact of these disparities, more effort is needed in identifying the interplay between race, insurance status, socioeconomic status and their underlying mechanism.

The use of digital technology is increasing rapidly across surgical specialities, yet there is no consensus for the term 'digital surgery'. This is critical as digital health technologies present technical, governance, and legal challenges which are unique to the surgeon and surgical patient. We aim to define the term digital surgery and the ethical issues surrounding its clinical application, and to identify barriers and research goals for future practice. 38 international experts, across the fields of surgery, AI, industry, law, ethics and policy, participated in a four-round Delphi exercise. Issues were generated by an expert panel and public panel through a scoping questionnaire around key themes identified from the literature and voted upon in two subsequent questionnaire rounds. Consensus was defined if >70% of the panel deemed the statement important and <30% unimportant. A final online meeting was held to discuss consensus statements. The definition of digital surgery as the use of technology for the enhancement of preoperative planning, surgical performance, therapeutic support, or training, to improve outcomes and reduce harm achieved 100% consensus agreement. We highlight key ethical issues concerning data, privacy, confidentiality and public trust, consent, law, litigation and liability, and commercial partnerships within digital surgery and identify barriers and research goals for future practice. Developers and users of digital surgery must not only have an awareness of the ethical issues surrounding digital applications in healthcare, but also the ethical considerations unique to digital surgery. Future research into these issues must involve all digital surgery stakeholders including patients.

Introduction: Trial and error have the propensity to generate knowledge. Near misses and adverse event reporting can improve patient care. Professional ridicule or litigation risks after an incident may lead to decreased reporting by physicians; however, the lack of incident reporting can negatively affect patient safety and halt scientific advancements. This study compares reporting patterns after distribution of financial incentives to surgeons for self-reporting quality incidents. Methods: Retrospective review of an internal incident reporting system, RL6, from September 2018 to September 2019 was performed. Incident reporting patterns after incentive distributions across professional classifications and surgical specialties were evaluated. Engagement surveys on incident reporting were completed by physicians. The primary outcomes were changes in reporting patterns and perceptions after distribution of incentives. Results: Two hundred and eighteen surgical patients were identified in the incidents reported. Financial incentives significantly increased incidents reported (35 to 183) by physicians (37.1% to 67.8%; P < 0.001) and physician assistants (2.9% to 18.6%; P < 0.001). Acute care surgery displayed the largest increase in incidents reported among surgical specialties (5.7% to 20.2%; P = 0.040). Surgeons exhibited an increase in reporting (60.0% to 94.5%; P < 0.001) compared with witnesses after incentivization (2.9% to 1.6%). Conclusions: Financial incentives were associated with increased incident reporting. After the establishment of incentives, physicians were more likely to report their incidents, which may dispel professional embarrassment and display incident ownership. Institutions must encourage reporting while supporting providers. Future quality-improvement studies targeting reporting should incorporate incentives aimed to engage and empower health-care providers. (C) 2021 Elsevier Inc. All rights reserved.

This is a review focused on advances and current limitations of computer vision (CV) and how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to one that we previously published in Sensors entitled, “Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?” As opposed to that article that also discussed issues of machine learning, deep learning and natural language processing, this review will delve deeper into the field of CV. Additionally, non-visual forms of data that can aid computerized robots in the performance of more autonomous actions, such as instrument priors and audio haptics, will also be highlighted. Furthermore, the current existential crisis for surgeons, endoscopists and interventional radiologists regarding more autonomy during procedures will be discussed. In summary, this paper will discuss how to harness the power of CV to keep doctors who do interventions in the loop.

Background. Touchless interaction devices have increasingly garnered attention for intraoperative imaging interaction, but there are limited recommendations on which touchless interaction mechanisms should be implemented in the operating room. The objective of this study was to evaluate the efficiency, accuracy, and satisfaction of 2 current touchless interaction mechanisms—hand motion and body motion for intraoperative image interaction. Methods. We used the TedCas plugin for ClearCanvas DICOM viewer to display and manipulate CT images. Ten surgeons performed 5 image interaction tasks—step-through, pan, zoom, circle measure, and line measure—on the 3 input interaction devices—the Microsoft Kinect, the Leap Motion, and a mouse. Results. The Kinect shared similar accuracy with the Leap Motion for most of the tasks. But it had an increased error rate in the step-through task. The Leap Motion led to shorter task completion time than the Kinect and was preferred by the surgeons, especially for the measure tasks. Discussion. Our study suggests that hand tracking devices, such as the Leap Motion, should be used for intraoperative imagining manipulation tasks that require high precision.

Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data. While an increasing number of data-driven approaches and clinical applications have been studied in the fields of radiological and clinical data science, translational success stories are still lacking in surgery. In this publication, we shed light on the underlying reasons and provide a roadmap for future advances in the field. Based on an international workshop involving leading researchers in the field of SDS, we review current practice, key achievements and initiatives as well as available standards and tools for a number of topics relevant to the field, namely (1) infrastructure for data acquisition, storage and access in the presence of regulatory constraints, (2) data annotation and sharing and (3) data analytics. We further complement this technical perspective with (4) a review of currently available SDS products and the translational progress from academia and (5) a roadmap for faster clinical translation and exploitation of the full potential of SDS, based on an international multi-round Delphi process.

Why do we classify things? For one, it brings about a certain order and organization to an otherwise seemingly complex, chaotic world. This certainly applies to the world of medicine. In this modern era of evidence-based practice, a classification system serves as a reference point for comparison and collection of data on convoluted diseases. In short, it can improve how clinicians and scientists research and treat a disease process. With a good system, one can standardize and make the diagnosis, treatment, and communication among providers reproducible.

This article was updated to correct the labeling of major column 3 in Table 2 to read “BMI > 35,” not “BMI ≤ 35.”