Faculty Bibliography

We describe 2 cases in which video capsule endoscopy was performed remotely using TeleInGEstion Remote Video Capsule Endoscopy (TIGER VCE), given limited access to endoscopy during the COVID-19 pandemic. The patients ingested the CapsoCam capsule during a televisit, and the video was subsequently reviewed remotely by the physician. TIGER VCE was used to diagnose a benign etiology of melena and used to confirm a diagnosis of Crohn's disease before the initiation of biologic therapy. These cases demonstrate the safety and efficacy of TIGER VCE. We feel that this technique may be considered as a standard ingestion technique in the future.

GOAL/OBJECTIVE:This meta-analysis aims to compare the sessile-serrated adenoma detection rate (SSADR) of currently available mechanical new technology devices (NTDs) to conventional colonoscopy (CC). BACKGROUND:NTDs including Endocuff, EndoRing, G-Eye, and AmplifEYE were developed with the aim of improving adenoma detection rate by enhancing colonic mucosal visualization. Increasing awareness of the risk of sessile-serrated adenoma progression to malignancy has ushered a need to increase the detection of these characteristically flat lesions. STUDY/METHODS:Embase and PubMed/Medline databases were searched from inception through January 2019 for published manuscripts or major conference abstracts reporting SSADR with Endocuff, EndoRing, G-Eye, AmplifEYE, and CC. Randomized controlled trials, high-quality case-control, cohort, and observational studies in adults with >10 subjects were included. The primary outcome was pooled SSADR odds ratio (ORs) with 95% confidence interval (95% CI) comparing CC with the NTDs. In addition, an analysis comparing each device to CC was performed. RESULTS:Of 207 citations identified, a total of 14 studies with 12,655 subjects were included in our analysis (5931 subjects with NTDs and 6724 with CC). There were 12 studies with Endocuff, 2 with EndoRing, 1 with G-EYE, and 1 with AmplifEYE. The mean age was 62.4 years and 57.5% were males. Pooled SSADR with NTDs was 12.3% as compared with 6.4% with CC, with an OR of 1.81 (95% CI: 1.6-2.0, I2: 77%). Analysis of Endocuff alone yielded an OR 1.81 (95% CI: 1.6-2.1, I2: 79%). CONCLUSION/CONCLUSIONS:Mechanical NTDs, notably Endocuff, are a safe and effective tool to increase the SSADR.

Coronavirus disease 2019 (COVID-19) is associated with considerable morbidity and mortality. The number of confirmed cases of infection with SARS-CoV-2, the virus causing COVID-19 continues to escalate with over 70 million confirmed cases and over 1.6 million confirmed deaths. Severe-to-critical COVID-19 is associated with a dysregulated host immune response to the virus, which is thought to lead to pathogenic immune dysregulation and end-organ damage. Presently few effective treatment options are available to treat COVID-19. Leronlimab is a humanized IgG4, kappa monoclonal antibody that blocks C-C chemokine receptor type 5 (CCR5). It has been shown that in patients with severe COVID-19 treatment with leronlimab reduces elevated plasma IL-6 and chemokine ligand 5 (CCL5), and normalized CD4/CD8 ratios. We administered leronlimab to 4 critically ill COVID-19 patients in intensive care. All 4 of these patients improved clinically as measured by vasopressor support, and discontinuation of hemodialysis and mechanical ventilation. Following administration of leronlimab there was a statistically significant decrease in IL-6 observed in patient A (p=0.034) from day 0-7 and patient D (p=0.027) from day 0-14. This corresponds to restoration of the immune function as measured by CD4+/CD8+ T cell ratio. Although two of the patients went on to survive the other two subsequently died of surgical complications after an initial recovery from SARS-CoV-2 infection.

Sampling error during screening and surveillance endoscopy is a well-recognized problem. Wide-area transepithelial sampling with three-dimensional computer-assisted analysis (WATS3D), used adjunctively to forceps biopsy (FB), has been shown to increase the detection of Barrett's esophagus (BE) and BE-associated neoplasia. We evaluated the clinical utility of WATS3D and its impact on the management of patients with BE and dysplasia. Between 2013 and 2018, 432 consecutive patients who had a WATS3D positive and an accompanying FB negative result were identified. Physicians were contacted to determine if the WATS3D result impacted their decision to enroll patients in surveillance or increase the frequency of surveillance, recommend ablation, and/or initiate or increase the dose of proton pump inhibitors (PPIs). WATS3D directly impacted the management of 97.8% of 317 BE patients; 96.2% were enrolled in surveillance and 60.2% were started on PPIs or their dose was increased. WATS3D impacted the management of 94.9% and 94.1% of the 98 low-grade dysplasia and 17 high-grade dysplasia patients, respectively. As a result of WATS3D, 33.7% of low-grade dysplasia and 70.6% of high-grade dysplasia patients underwent endoscopic therapy. More than 37% of all dysplasia patients were enrolled in a surveillance program, and nearly 30% were scheduled to be surveilled more frequently. PPIs were either initiated, or the dose was increased in more than 54% of all dysplasia patients. We demonstrate that WATS3D has high clinical utility. By prompting physicians to change their clinical management in patients with negative FB results, WATS3D, used adjunctively to FB, directly impacts patient management, and improves patient outcomes.

Background and study aims  The coronavirus disease 2019 (COVID-19), and measures taken to mitigate its impact, have profoundly affected the clinical care of gastroenterology patients and the work of endoscopy units. We aimed to describe the clinical care delivered by gastroenterologists and the type of procedures performed during the early to peak period of the pandemic. Methods  Endoscopy leaders in the New York region were invited to participate in an electronic survey describing operations and clinical service. Surveys were distributed on April 7, 2020 and responses were collected over the following week. A follow-up survey was distributed on April 20, 2020. Participants were asked to report procedure volumes and patient characteristics, as well protocols for staffing and testing for COVID-19. Results  Eleven large academic endoscopy units in the New York City region responded to the survey, representing every major hospital system. COVID patients occupied an average of 54.5 % (18 - 84 %) of hospital beds at the time of survey completion, with 14.5 % (2 %-23 %) of COVID patients requiring intensive care. Endoscopy procedure volume and the number of physicians performing procedures declined by 90 % (66 %-98 %) and 84.5 % (50 %-97 %) respectively following introduction of restricted practice. During this period the most common procedures were EGDs (7.9/unit/week; 88 % for bleeding; the remainder for foreign body and feeding tube placement); ERCPs (5/unit/week; for cholangitis in 67 % and obstructive jaundice in 20 %); Colonoscopies (4/unit/week for bleeding in 77 % or colitis in 23 %) and least common were EUS (3/unit/week for tumor biopsies). Of the sites, 44 % performed pre-procedure COVID testing and the proportion of COVID-positive patients undergoing procedures was 4.6 % in the first 2 weeks and up to 19.6 % in the subsequent 2 weeks. The majority of COVID-positive patients undergoing procedures underwent EGD (30.6 % COVID +) and ERCP (10.2 % COVID +). Conclusions  COVID-19 has profoundly impacted the operation of endoscopy units in the New York region. Our data show the impact of a restricted emergency practice on endoscopy volumes and the proportion of expected COVID positive cases during the peak time of the pandemic.

INTRODUCTION: Lipomas are benign submosal lesions, which can be found throughout the gastrointestinal tract. In most patients, these are incidentals findings and patients are asymptomatic. However, there are instances when lipomas can cause symptoms of obstruction if very large. This case highlights a rare complication of a colonic lipoma. CASE DESCRIPTION/METHODS: The case is of a 31-year-old man, who initially presented for intermittent rectal bleeding. On initial evaluation he had a benign abdominal exam, but a rectal exam was performed suggested hemorrhoids. There was no significant past medical history and no family history of colon cancer. A colonoscopy was performed demonstrating sigmoid diverticulosis, an ascending colon lipoma, and internal hemorrhoids, the likely cause of bleeding. Ten days later the patient calls with intermittent abdominal pain for the last several days. On further questioning, the patient does report occasional episodes of a similar sharp pain for the last few years, but in the last few days the pain has intensified. An outpatient CT scan was performed showing a 6.8 cm lipoma in the transverse colon causing colo-colonic intussusception (image 1). The patient was taken for urgent robotic right hemicolectomy with a side to side ileocolic anastomosis. Final pathology confirmed a large lipoma. The patient fully recovered and symptoms have resolved.
Discussion(s): DISCUSSION: Intussusception is when the bowel telescopes on itself. The most common location is the small bowel, but intussusception can occur in the colon 1. A lipoma is a benign submucosal tumor, which can be found in the colon. In the majority of cases lipomas are incidental finding and cause no symptoms. Based on autopsy reports, the incidence rate of colonic lipomas is 0.2-0.8%. However, clinical symptoms might include abdominal pain, bleeding, and perforation. Clinicians should be aware of this unique presentation, which requires surgical intervention

BACKGROUND AND AIMS/OBJECTIVE:Artificial intelligence (AI), specifically deep learning, offers the potential to enhance the field of gastrointestinal endoscopy in areas ranging from lesion detection and classification, to quality metrics and documentation. Progress in this field will be measured by whether AI implementation can lead to improved patient outcomes and more-efficient clinical workflow for GI endoscopists. The aims of this article are to report the findings of a multidisciplinary group of experts focusing on issues in artificial intelligence research and applications related to gastroenterology and endoscopy, to review the current status of the field, and to produce recommendations for investigators developing and studying new AI technologies for gastroenterology. METHODS:A multidisciplinary meeting was held on September 28, 2019, bringing together academic, industry, and regulatory experts in diverse fields including gastroenterology, computer and imaging sciences, machine learning, and computer vision, Food and Drug Administration (FDA) and National Institutes of Health (NIH). Recent and ongoing studies in gastroenterology and current technology in AI were presented and discussed, key gaps in knowledge were identified, and recommendations were made for research that would have the highest impact in making advances and implementation in the field of AI to gastroenterology. RESULTS:There was a consensus that AI will transform the field of gastroenterology, particularly endoscopy and image interpretation. Powered by advanced machine learning algorithms, the use of computer vision to endoscopy has the potential to result in better prediction and treatment outcomes for patients with gastroenterology disorders and cancer. Large libraries of endoscopic images, "EndoNet," will be important to facilitate development and application of AI systems. The regulatory environment for implementation of AI systems is evolving, but common outcomes such as colon polyp detection have been highlighted as potential clinical trial endpoints. Other threshold outcomes will be important, as well as clarity on iterative improvement of clinical systems. CONCLUSIONS:Gastroenterology is a prime candidate for early adoption of AI. AI is rapidly moving from an experimental phase to a clinical implementation phase in gastroenterology. It is anticipated that the implementation of AI in gastroenterology over the next decade will have a significant and positive impact on patient care and clinical workflows. Ongoing collaboration among gastroenterologists, industry experts, and regulatory agencies will be important to ensure that progress is rapid and clinically meaningful. However, there are several constraints and areas that will benefit from further exploration, including potential clinical applications, implementation, structure and governance, role of gastroenterologists, and potential impact of AI in gastroenterology.