Dysplasia in Random Biopsies from Barrett’s Surveillance Is an Important Marker for More Severe Pathology

Noordzij, Irma C.; Ende, M. C. M. Van Loon van de; Curvers, Wouter L.; Lijnschoten, Gesina van; Huysentruyt, Clément J.R.; Schoon, Erik J.

doi:10.1007/s10620-020-06463-4

Cited by 6 publications

(4 citation statements)

References 15 publications

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“…Given the low progression rate among BE patients, which is estimated at 0.5% per year, the majority of gastroenterologists never encounter dysplasia and therefore may be less familiar with the mucosal changes associated with presence of neoplasia [17]. Visible neoplastic lesions, including early EAC, may remain undetected, especially when endoscopic surveillance is performed by endoscopists with limited experience in the recognition of early neoplastic lesions [18, 19]. Low-grade dysplasia may present itself with very subtle mucosal changes and is therefore easily missed [6].…”

Section: Esophagusmentioning

confidence: 99%

Artificial Intelligence in Upper Gastrointestinal Endoscopy

Tokat¹,

Tilburg²,

Koch³

et al. 2021

Dig Dis

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Background: Over the past decade, several artificial intelligence (AI) systems are developed to assist in endoscopic assessment of (pre-)cancerous lesions of the gastrointestinal (GI) tract. In this review, we aimed to provide an overview of the possible indications of AI technology in upper GI endoscopy and hypothesize about potential challenges for its use in clinical practice. Summary: Application of AI in upper GI endoscopy has been investigated for several indications: (1) detection, characterization, and delineation of esophageal and gastric cancer (GC) and their premalignant conditions; (2) prediction of tumor invasion; and (3) detection of Helicobacter pylori. AI systems show promising results with an accuracy of up to 99% for the detection of superficial and advanced upper GI cancers. AI outperformed trainee and experienced endoscopists for the detection of esophageal lesions and atrophic gastritis. For GC, AI outperformed mid-level and trainee endoscopists but not expert endoscopists. Key Messages: Application of artificial intelligence (AI) in upper gastrointestinal endoscopy may improve early diagnosis of esophageal and gastric cancer and may enable endoscopists to better identify patients eligible for endoscopic resection. The benefit of AI on the quality of upper endoscopy still needs to be demonstrated, while prospective trials are needed to confirm accuracy and feasibility during real-time daily endoscopy.

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Section: Esophagusmentioning

confidence: 99%

Artificial Intelligence in Upper Gastrointestinal Endoscopy

Tokat¹,

Tilburg²,

Koch³

et al. 2021

Dig Dis

View full text Add to dashboard Cite

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“…In the last decade, the frequency of BE per 1000 endoscopies has ranged from 2.9% to 18.9% of newly registered cases [33,34], posing a severe public health concern given the high risk of EAC [12]. There are several risk factors for the development of BE, with GERD being the most important [35,36]. As a result, the first approach in treating BE patients is to treat GERD to prevent oesophageal erosion [26].…”

Section: Discussionmentioning

confidence: 99%

Treatment of Barrett's Esophagus with radiofrequency ablation

et al. 2023

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IntroductionBBarrett's oesophagus (BE) represents the distal oesophageal epithelium changes that carry a high risk of developing oesophageal adenocarcinoma. One of the most challenging aspects of diagnosing BE by endoscopy is precise discerning between normal epithelium and BE changes, which is essential for therapy success. The objectives of this study were to compare the success of radio-frequency ablation (RFA) therapy to conservative treatment with proton pump inhibitor (PPI) drugs between the clinical presentation and endoscopy findings of BE at 2, 6, 12, and 24 months after administered therapy.Material and methods75 subjects are divided into two groups (RFA and PPI) based on the BE treatment regimen in this case-control study to compare the quality of treatments applied over a 24-month follow-up. Subjects who received RFA therapy were further divided into groups: those who received focal HALO 90 and those who received circumferential HALO 360, based primarily on EGDS findings or endoscopist experience.ResultsThe results show that using the RFA therapeutic modality in the treatment of BE is more effective (by 94.2% in the second month of follow-up, i.e., by 99% at the final visit after 24 months) than using PPI therapy alone. Re-RFA therapy was given to 15% of the subjects, mostly applied in the same therapeutic modality (HALO 90).ConclusionsOur findings show that RFA and re-RFA therapy have a high efficacy and safety profile, with no registered worsening of histology findings, the occurrence of oesophageal adenocarcinoma, or adverse effects of the therapy.

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“…Although endoscopic recognition of dysplasia in BE is difficult, experience in recognition of early neoplastic lesions increases the detection of early neoplastic lesions. In addition, dysplasia, which is a premalignant condition (also referred to as intraepithelial neoplasia), is an important marker for more severe pathologic changes ( 6 ). Because of the poor prognosis, BE has attracted the attention of researchers and clinicians worldwide.…”

Section: Introductionmentioning

confidence: 99%

The Top-Cited Articles With a Focus on Barrett's Esophagus: A Bibliometric Analysis

et al. 2022

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BackgroundBecause the number of published literatures with a focus on Barrett's esophagus (BE) that researchers must be familiar with has quickly increased in recent years, the significance of selective searching and summarization of bibliometrics is also increasing. It is, thus, very important to find a method that can quickly and effectively search the most influential medical science articles. Therefore, the objective of this study was to use bibliometric analysis to assess and characterize the most influential articles involving BE research.MethodsPublications on BE research were retrieved from the Web of Science Core Collection using the term “Barrett's esophagus.” Microsoft Excel 2016 and VOSviewer were used to further analyzed each article's citation number, title, journal, country, organization, category, and authorship.ResultsOn 14 June 2020, 5,389 records of BE research published until 2020 were retrieved. The citation number of the top 100 most-cited articles ranged from 208 to 824. Gastroenterology published 29 articles, which accounted for the largest number of top 100 articles (29%); however, among the top 500 most-cited articles, the American Journal of Gastroenterology published the largest number. Of the top-cited articles, the USA was by far the leading country in BE research and contributed most of the articles (n = 72). Among the academic institutions that produced the top 100 most-cited articles, the University of Washington (n = 12) was dominant. Sharma Prateek (n = 6) authored the largest number of most-cited articles. The USA contributed the most articles per year, and the time trend of the number of top 500 articles increased by 38-fold between 1987 and 2000. “Adenocarcinoma,” “high-grade dysplasia,” “cancer,” “diagnosis,” and “dysplasia” were the most influential keywords.ConclusionsThis study not only presents a historical perspective but also facilitated the recognition of the significant advances in this area by researchers. Furthermore, the current study serves as a guide in decision clinical practice decision-making and provides a valuable reference for further research.

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Dysplasia in Random Biopsies from Barrett’s Surveillance Is an Important Marker for More Severe Pathology

Cited by 6 publications

References 15 publications

Artificial Intelligence in Upper Gastrointestinal Endoscopy

Artificial Intelligence in Upper Gastrointestinal Endoscopy

Treatment of Barrett's Esophagus with radiofrequency ablation

The Top-Cited Articles With a Focus on Barrett's Esophagus: A Bibliometric Analysis

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