Endohepatology: Arrival at the frontier of interventional endosonography.

Endohepatology describes the emerging field where diagnostic and therapeutic endoscopic ultrasound (EUS) are used for the diagnosis and management of liver disease and its sequelae. In this editorial we comment on the article by Gadour et al. The spectrum of EUS-guided procedures includes liver parenchymal and lesional biopsy, abscess drainage, treatment of focal liver lesions, diagnosis of portal hypertension and management of gastric varices. The data suggest that the application of EUS to hepatology is technically feasible and safe, heralding the arrival at a new frontier for EUS. More data, specifically randomised trials comparing EUS to interventional radiology techniques, and continued partnership between endoscopy and hepatology are required to see this field establish itself outside expert tertiary centres.

Managing radiation safety and protection in gastroenterology in Japan: insights from the REX-GI study.

Fluoroscopy-guided gastrointestinal procedures, including gastrointestinal stenting, balloon-assisted endoscopy (BAE), endoscopic retrograde cholangiopancreatography (ERCP), and endoscopic ultrasound (EUS), are essential for diagnosis and treatment in gastroenterology. Such procedures involve radiation exposure that necessitates strict safety measures to protect patients, doctors, and medical staff. The April 2020 update to Japan's Ionizing Radiation Injury Prevention Regulations for occupational exposure reduced the lens exposure dose limit to approximately one-seventh of its previous level. This change highlights the need for improved safety protocols. Without adaptation, the sustainability of fluoroscopy-based endoscopic techniques could be at risk due to the potential to exceed these new limits. This review examines the current state of medical radiation exposure in the field of gastroenterology in Japan and discusses the findings of the REX-GI study.

[Gastroenterology and hepatology: what's new in 2022]. / Gastroentérologie et hépatologie : ce qui a changé en 2022.

The field of gastroenterology and hepatology is evolving constantly. In 2022, numerous landmark studies have been published in all its subspecialities including hepatology, functional diseases, interventional endoscopy, and inflammatory bowel disease. Among the most significant advances are the antiviral treatment for hepatitis D, the new Chicago classification version 4 for esophageal motility disorders, the first biological treatment for eosinophilic esophagitis, a randomized controlled trial about the efficacy of screening colonoscopy, novel endoscopic techniques such as G-POEM or endoscopic sleeve gastrectomy, and emerging IBD therapies such as ozanimod, upadacitinib or anti-IL23 antibodies.

La gastroentérologie et l'hépatologie sont des disciplines variées et en pleine évolution. Durant l'année 2022, plusieurs études marquantes ont été publiées dans les domaines de l'hépatologie, des maladies fonctionnelles, de l'endoscopie et des maladies inflammatoires chroniques de l'intestin (MICI). Les avancées les plus importantes sont le traitement antiviral contre l'hépatite D, la nouvelle classification de Chicago version 4 pour les troubles moteurs œsophagiens, le traitement biologique de l'œsophagite à éosinophiles, l'efficacité de la coloscopie de dépistage, de nouvelles techniques endoscopiques comme le G-POEM ou la gastrectomie endoscopique et des nouveaux médicaments pour les MICI comme l'ozanimod, l'upadacitinib ou les anticorps anti-IL-23.

Gastrointestinal Endoscopy in Patients with Coronavirus Disease 2019: Indications, Findings, and Safety.

The coronavirus disease 2019 (COVID-19) pandemic has changed the practice of gastroenterology and how we perform endoscopy. As with any new or emerging pathogen, early in the pandemic, there was limited evidence and understanding of disease transmission, limited testing capability, and resource constraints, especially availability of personal protective equipment (PPE). As the COVID-19 pandemic progressed, enhanced protocols with particular emphasis on assessing the risk status of patients and proper use of PPE have been incorporated into routine patient care. The COVID-19 pandemic has taught us important lessons for the future of gastroenterology and endoscopy.

Ultrasound-based artificial intelligence in gastroenterology and hepatology.

Artificial intelligence (AI), especially deep learning, is gaining extensive attention for its excellent performance in medical image analysis. It can automatically make a quantitative assessment of complex medical images and help doctors to make more accurate diagnoses. In recent years, AI based on ultrasound has been shown to be very helpful in diffuse liver diseases and focal liver lesions, such as analyzing the severity of nonalcoholic fatty liver and the stage of liver fibrosis, identifying benign and malignant liver lesions, predicting the microvascular invasion of hepatocellular carcinoma, curative transarterial chemoembolization effect, and prognoses after thermal ablation. Moreover, AI based on endoscopic ultrasonography has been applied in some gastrointestinal diseases, such as distinguishing gastric mesenchymal tumors, detection of pancreatic cancer and intraductal papillary mucinous neoplasms, and predicting the preoperative tumor deposits in rectal cancer. This review focused on the basic technical knowledge about AI and the clinical application of AI in ultrasound of liver and gastroenterology diseases. Lastly, we discuss the challenges and future perspectives of AI.

Current Applications of Telemedicine in Gastroenterology.

Telemedicine generally refers to the use of technology to communicate with patients and provide health care from a distance. Advances in technology, specifically computers, cellphones, and other mobile devices, have facilitated healthcare providers' growing ability to virtually monitor and mentor patients. There has been a progressive expansion in the use of telemedicine in the field of gastroenterology (GI), which has been accelerated by the COVID-19 pandemic. In this review, we discuss telemedicine-its history, various forms, and limitations-and its current applications in GI. Specifically, we focus on telemedicine in GI practice in general and specific applications, including the management of inflammatory bowel disease, celiac disease, and colorectal cancer surveillance and its use as an aid in endoscopic procedures.

Impact of Fellow Participation During Colonoscopy on Adenoma Detection Rates.

BACKGROUND: An endoscopist's adenoma detection rate (ADR) is inversely related to interval colorectal cancer risk and cancer mortality. Previous studies evaluating the impact of gastroenterology fellow participation in colonoscopy on ADR have generated conflicting results. AIMS: We aimed to determine the impact of fellow participation, duration of fellowship training, and physician sex on ADR and advanced ADR (AADR). METHODS: We retrospectively analyzed average-risk patients undergoing screening colonoscopy at Veterans Affairs New York Harbor Healthcare System Brooklyn Campus and Kings County Hospital Center. Review of colonoscopy and pathology reports were performed to obtain adenoma-specific details, including the presence of advanced adenoma and adenoma location (right vs. left colon). RESULTS: There were 893 colonoscopies performed by attending only and 502 performed with fellow participation. Fellow participation improved overall ADR (44.6% vs. 35.4%, p < 0.001), right-sided ADR (34.1% vs. 25.2%, p < 0.001), and AADR (15.3% vs. 8.3%, p < 0.001); however, these findings were institution-specific. Year of fellowship training did not impact overall ADR or overall AADR, but did significantly improve right-sided AADR (p-value for trend 0.03). Female attending physicians were associated with increased ADR (47.1% vs. 37.0%, p = 0.0037). Fellow sex did not impact ADR. CONCLUSIONS: Fellow participation in colonoscopy improved overall ADR and AADR, and female attending physicians were associated with improved ADR. Year of fellowship training did not impact overall ADR or AADR.

Best practices of handling, processing, and interpretation of small intestinal biopsies for the diagnosis and management of celiac disease: A joint consensus of Indian association of pathologists and microbiologists and Indian society of gastroenterology.

The Indian Association of Pathologists and Microbiologists (IAPM) and Indian Society of Gastroenterology (ISG) decided to make a joint consensus recommendation for handling, processing, and interpretation of SI biopsies for the diagnosis and management of celiac disease (CD) recognizing the inhomogeneous practice of biopsy sampling, orientation, processing, and interpretation. A modified Delphi process was used to develop this consensus document containing a total of 42 statements and recommendations, which were generated by sharing the document draft, incorporating expert's opinion, followed by three cycles of electronic voting as well as a full-day face-to-face virtual ZOOM meeting and review of supporting literature. Of the 42 statements, 7 statements are on small intestinal (SI) biopsy in suspected patients of CD, site and the number of biopsies; 7 on handling, fixative, orientation, processing, and sectioning in pathology laboratories; 2 on histological orientation; 13 statements on histological interpretation and histological grading; 3 on the assessment of follow-up biopsies; 2 statements on gluten-free diet (GFD)-nonresponsive CD; 4 on challenges in the diagnosis of CD; 2 statements each on pathology reporting protocol and training and infrastructure in this area. The goal of this guideline document is to formulate a uniform protocol agreed upon both by the experienced pathologists and gastroenterologists to standardize the practice, improve the yield of small bowel biopsy interpretation, patients' compliance, overall management in CD, and generate unified data for patient care and research in the related field.

Thiopurines: Use them or lose them? International survey on current and future use of thiopurines in inflammatory bowel disease.

BACKGROUND AND AIMS: The role of thiopurines in therapeutic algorithms of Crohn's disease (CD) and Ulcerative colitis (UC) is being questioned. This work aimed to investigate current practice and future perspectives of Inflammatory Bowel Disease (IBD) physicians regarding the efficacy, safety, and role of precision medicine with thiopurines in IBD. METHODS: A 29-questions web-based survey was developed and distributed to IBD physicians worldwide. RESULTS: We collected the complete answers of 408 physicians from 50 countries. Most participants were experienced physicians in IBD; 26.0% met our definition of "IBD expert". Four physicians reported to not use thiopurines in clinical practice. Most respondents used thiopurines in monotherapy and in combination therapy, both in CD and UC. Respondents tended to consider thiopurines as drugs with a good safety profile, with the agreement of 61.5% of the overall cohort. A minority of physicians (~6%) considered that thiopurines will not be used in the future in IBD patients, while 57.8% believed that these drugs will still be used, in mono and combination therapy. CONCLUSION: Despite the many emerging treatments in IBD, according to the beliefs of most physicians surveyed, thiopurines will still be an important part of the treatment algorithm of both CD and UC.

AGA Technical Review on the Medical Management of Moderate to Severe Luminal and Perianal Fistulizing Crohn's Disease.

The incidence and prevalence of Crohn's disease (CD) is rising globally. Patients with moderate to severe CD are at high risk for needing surgery and hospitalization and for developing disease-related complications, corticosteroid dependence, and serious infections. Optimal management of outpatients with moderate to severe luminal and/or fistulizing (including perianal) CD often requires the use of immunomodulator (thiopurines, methotrexate) and/or biologic therapies, including tumor necrosis factor-α antagonists, vedolizumab, or ustekinumab, either as monotherapy or in combination (with immunomodulators) to mitigate these risks. Decisions about optimal drug therapy in moderate to severe CD are complex, with limited guidance on comparative efficacy and safety of different treatments, leading to considerable practice variability. Since the last iteration of these guidelines published in 2013, significant advances have been made in the field, including the regulatory approval of 2 new biologic agents, vedolizumab and ustekinumab. Therefore, the American Gastroenterological Association prioritized updating clinical guidelines on this topic. To inform the clinical guidelines, this technical review was completed in accordance with the GRADE (Grading of Recommendations Assessment, Development and Evaluation) framework. The review addressed the following focused questions (in adult outpatients with moderate to severe luminal CD): overall and comparative efficacy of different medications for induction and maintenance of remission in patients with or without prior exposure to tumor necrosis factor-α antagonists, comparative efficacy and safety of biologic monotherapy vs combination therapy with immunomodulators, comparative efficacy of a top-down (upfront use of biologics and/or immunomodulator therapy) vs step-up treatment strategy (acceleration to biologic and/or immunomodulator therapy only after failure of mesalamine), and the role of corticosteroids and mesalamine for induction and/or maintenance of remission. Finally, in adult outpatients with moderate to severe fistulizing CD, this review addressed the efficacy of pharmacologic interventions for achieving fistula and the role of adjunctive antibiotics without clear evidence of active infection.

Appraisal of the current guidelines for the management of diverticular disease using the Appraisal of Guidelines Research and Evaluation II (AGREE II) instrument.

INTRODUCTION: Diverticular disease is one of the most frequent reasons for attending emergency departments and surgical causes of hospital admission. In the past decade, many surgical and gastroenterological societies have published guidelines for the management of diverticular disease. The aim of the present study was to appraise the methodological quality of these guidelines using the Appraisal of Guidelines Research and Evaluation II (AGREE II) tool. METHODS: PubMed, Embase, Cochrane Library and Google Scholar databases were searched systematically. The methodological quality of the guidelines was appraised independently by five appraisers using the AGREE II instrument. FINDINGS: A systematic search of the literature identified 12 guidelines. The median overall score of all guidelines was 68%. Across all guidelines, the highest score of 85% was demonstrated in the domain 'Scope and purpose'. The domains 'Clarity and presentation' and 'Editorial independence' both scored a median of 72%. The lowest scores were demonstrated in the domains 'Stakeholder involvement' and 'Applicability' at 46% and 40%, respectively. Overall, the National Institute for Health and Care Excellence (NICE) guidelines performed consistently well, scoring 100% in five of six domains; NICE was one of the few guidelines that specifically reported stakeholder involvement, scoring 97%. Generally, the domain of 'Stakeholder involvement' ranked poorly with seven of twelve guidelines scoring below 50%, with the worst score in this domain demonstrated by Danish guidelines at 25%. CONCLUSION: Six of twelve guidelines (NICE, American Society of Colon & Rectal Surgeons (ASCRS), European Society of Coloproctology (ESCP), American Gastroenterological Association, German Society of Gastroenterology/German Society for General and Visceral Surgery (German), Netherlands Society of Surgery) scored above 70%. Only three, NICE, ASCRS and ESCP, scored above 75% and were voted unanimously by the appraisers for use as they are. Therefore, use of AGREE II may help improve the methodological quality of guidelines and their future updates.

Artificial intelligence in precision medicine in hepatology.

The advancement of investigation tools and electronic health records (EHR) enables a paradigm shift from guideline-specific therapy toward patient-specific precision medicine. The multiparametric and large detailed information necessitates novel analyses to explore the insight of diseases and to aid the diagnosis, monitoring, and outcome prediction. Artificial intelligence (AI), machine learning, and deep learning (DL) provide various models of supervised, or unsupervised algorithms, and sophisticated neural networks to generate predictive models more precisely than conventional ones. The data, application tasks, and algorithms are three key components in AI. Various data formats are available in daily clinical practice of hepatology, including radiological imaging, EHR, liver pathology, data from wearable devices, and multi-omics measurements. The images of abdominal ultrasonography, computed tomography, and magnetic resonance imaging can be used to predict liver fibrosis, cirrhosis, non-alcoholic fatty liver disease (NAFLD), and differentiation of benign tumors from hepatocellular carcinoma (HCC). Using EHR, the AI algorithms help predict the diagnosis and outcomes of liver cirrhosis, HCC, NAFLD, portal hypertension, varices, liver transplantation, and acute liver failure. AI helps to predict severity and patterns of fibrosis, steatosis, activity of NAFLD, and survival of HCC by using pathological data. Despite of these high potentials of AI application, data preparation, collection, quality, labeling, and sampling biases of data are major concerns. The selection, evaluation, and validation of algorithms, as well as real-world application of these AI models, are also challenging. Nevertheless, AI opens the new era of precision medicine in hepatology, which will change our future practice.

Gastrointestinal endoscopy in children and adults: How do they differ?

Gastrointestinal endoscopy has grown dramatically over the past century, and with subsequent improvements in technology and anaesthesia, it has become a safe and useful tool for evaluation of GI pathology in children. There are substantial differences between paediatric and adult endoscopy beyond size, including: age-related patho-physiology and the different spectrum of diseases in children. Literature on endoscopic procedures in children is sparse but significant. The present review aims at describing the current knowledges on paediatric endoscopy practice and highlights the main areas of differences between paediatric and adult practice.

Changes in digestive cancer diagnosis during the SARS-CoV-2 pandemic in Italy: A nationwide survey.

BACKGROUND: The SARS-CoV-2 pandemic has had a huge impact on healthcare systems, resulting in many routine diagnostic procedures either being halted or postponed. AIMS: To evaluate whether the diagnoses of colorectal, gastric and pancreatic cancers have been impacted by the SARS-CoV-2 pandemic in Italy. METHODS: A survey designed to collect the number of histologically-proven diagnoses of the three cancers in gastroenterology services across Italy from January 1 to October 31 in 2017-2020. Non-parametric ANOVA for repeated measurements was applied to compare distributions by years and macro-areas. RESULTS: Compared to 2019, in 2020 gastric cancer diagnoses decreased by 15.9%, CRC by 11.9% and pancreatic by 9.9%. CRC distributions showed significant differences between all years, stomach cancer between 2018 and 2020 and 2019-2020, and pancreatic cancer only between 2017 and 2019. The 2019-2020 comparison showed fewer CRC diagnoses in the North (-13.7%), Center (-16.5%) and South (-4.1%), fewer stomach cancers in the North (-19.0%) and South (-9.4%), and fewer pancreatic cancers in the North (-14.1%) and Center (-4.7%), with an increase in the South (+12.3%). Distributions of CRC and gastric cancer were significantly different between all years in the North. CONCLUSIONS: This survey highlights the concerning effects of the COVID-19 pandemic on the diagnostic yield of gastroenterology services for stomach, colorectal and pancreatic cancers in Italy.

Challenges of developing artificial intelligence-assisted tools for clinical medicine.

Machine learning, a subset of artificial intelligence (AI), is a set of computational tools that can be used to enhance provision of clinical care in all areas of medicine. Gastroenterology and hepatology utilize multiple sources of information, including visual findings on endoscopy, radiologic imaging, manometric testing, genomes, proteomes, and metabolomes. However, clinical care is complex and requires a thoughtful approach to best deploy AI tools to improve quality of care and bring value to patients and providers. On the operational level, AI-assisted clinical management should consider logistic challenges in care delivery, data management, and algorithmic stewardship. There is still much work to be done on a broader societal level in developing ethical, regulatory, and reimbursement frameworks. A multidisciplinary approach and awareness of AI tools will create a vibrant ecosystem for using AI-assisted tools to guide and enhance clinical practice. From optically enhanced endoscopy to clinical decision support for risk stratification, AI tools will potentially transform our practice by leveraging massive amounts of data to personalize care to the right patient, in the right amount, at the right time.

Hepatobiliary Organoids and Their Applications for Studies of Liver Health and Disease: Are We There Yet?

Organoid culture systems have emerged as a frontier technology in liver and biliary research. These three-dimensional (3D) cell cultures derived from pluripotent and adult hepatobiliary cells model organ structure and function. Building on gastrointestinal organoid establishment, hepatobiliary organoid cultures were generated from mouse leucine-rich repeat-containing G-protein-coupled receptor 5-positive liver progenitor cells. Subsequently, 3D hepatobiliary organoid cultures were developed from hepatocytes and cholangiocytes to model human and animal hepatobiliary health and disease. Hepatocyte organoids have been used to study Alagille syndrome, fatty liver disease, Wilson disease, hepatitis B viral infection, and cystic fibrosis. Cholangiocyte organoids have been established to study normal cholangiocyte biology and primary sclerosing cholangitis and to test organoid potential to form bile ducts and gallbladder tissue in vitro. Hepatobiliary cancer organoids, termed tumoroids, have been established from frozen and fresh human tissues and used as a drug-testing platform and for biobanking of cancer samples. CRISPR-based gene modifications and organoid exposure to infectious agents have permitted the generation of organoid models of carcinogenesis. This review summarizes currently available adult cell-derived hepatobiliary organoid models and their applications. Challenges faced by this young technology will be discussed, including the cellular immaturity of organoid-derived hepatocytes, co-culture development to better model complex tissue structure, the imperfection of extracellular matrices, and the absence of standardized protocols and model validation.

Evolving Role and Future Directions of Natural Language Processing in Gastroenterology.

In line with the current trajectory of healthcare reform, significant emphasis has been placed on improving the utilization of data collected during a clinical encounter. Although the structured fields of electronic health records have provided a convenient foundation on which to begin such efforts, it was well understood that a substantial portion of relevant information is confined in the free-text narratives documenting care. Unfortunately, extracting meaningful information from such narratives is a non-trivial task, traditionally requiring significant manual effort. Today, computational approaches from a field known as Natural Language Processing (NLP) are poised to make a transformational impact in the analysis and utilization of these documents across healthcare practice and research, particularly in procedure-heavy sub-disciplines such as gastroenterology (GI). As such, this manuscript provides a clinically focused review of NLP systems in GI practice. It begins with a detailed synopsis around the state of NLP techniques, presenting state-of-the-art methods and typical use cases in both clinical settings and across other domains. Next, it will present a robust literature review around current applications of NLP within four prominent areas of gastroenterology including endoscopy, inflammatory bowel disease, pancreaticobiliary, and liver diseases. Finally, it concludes with a discussion of open problems and future opportunities of this technology in the field of gastroenterology and health care as a whole.