W1877 Inter-Observer Variability in the Assessment of NBI Mucosal and Vascular Patterns in Barrett's Esophagus (BE) Patients: A Multi-Center Study

2008 ◽  
Vol 134 (4) ◽  
pp. A-724
Author(s):  
Ajay Bansal ◽  
Amit Rastogi ◽  
Wouter L. Curvers ◽  
Mohammed A. Kara ◽  
Christopher R. Lynch ◽  
...  
Keyword(s):  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Observer Variability ◽  
Inter Observer Variability ◽  
Multi Center Study ◽  
Center Study

scholarly journals Deep Learning for Whole-Slide Tissue Histopathology Classification: A Comparative Study in the Identification of Dysplastic and Non-Dysplastic Barrett’s Esophagus

2020 ◽  
Vol 10 (4) ◽  
pp. 141
Author(s):  
Rasoul Sali ◽  
Nazanin Moradinasab ◽  
Shan Guleria ◽  
Lubaina Ehsan ◽  
Philip Fernandes ◽  
...  
Keyword(s):  
Deep Learning ◽  
Comparative Study ◽  
Barrett’S Esophagus ◽  
Gold Standard ◽  
Barrett's Esophagus ◽  
Image Features ◽  
Feature Representation ◽  
Observer Variability ◽  
Inter Observer Variability ◽  
Weakly Supervised

The gold standard of histopathology for the diagnosis of Barrett’s esophagus (BE) is hindered by inter-observer variability among gastrointestinal pathologists. Deep learning-based approaches have shown promising results in the analysis of whole-slide tissue histopathology images (WSIs). We performed a comparative study to elucidate the characteristics and behaviors of different deep learning-based feature representation approaches for the WSI-based diagnosis of diseased esophageal architectures, namely, dysplastic and non-dysplastic BE. The results showed that if appropriate settings are chosen, the unsupervised feature representation approach is capable of extracting more relevant image features from WSIs to classify and locate the precursors of esophageal cancer compared to weakly supervised and fully supervised approaches.

scholarly journals Roux-en-Y Gastric Bypass as a Treatment for Barrett’s Esophagus after Sleeve Gastrectomy

2019 ◽  
Vol 30 (4) ◽  
pp. 1273-1279 ◽  
Author(s):  
Daniel M. Felsenreich ◽  
Felix B. Langer ◽  
Christoph Bichler ◽  
Magdalena Eilenberg ◽  
Julia Jedamzik ◽  
...  
Keyword(s):  
Gastric Bypass ◽  
Sleeve Gastrectomy ◽  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Hospital Setting ◽  
University Hospital ◽  
Demeester Score ◽  
The Mean ◽  
Multi Center Study ◽  
Acid Exposure Time

Abstract Background Laparoscopic sleeve gastrectomy (SG) is the most frequently performed bariatric procedure today. While an increasing number of long-term studies report the occurrence of Barrett’s esophagus (BE) after SG, its treatment has not been studied, yet. Objectives The aim of this study was to evaluate Roux-en-Y gastric bypass (RYGB) as treatment for BE and reflux after SG. Setting University hospital setting, Austria Methods This multi-center study includes all patients (n = 10) that were converted to RYGB due to BE after SG in Austria. The mean interval between SG and RYGB was 42.7 months. The follow-up after RYGB in this study was 33.4 months. Gastroscopy, 24 h pH-metry, and manometry were performed and patients were asked to complete the BAROS and GIQLI questionnaires. Results Weight and BMI at the time of SG was 120.8 kg and 45.1 kg/m2. Eight patients (80.0%) went into remission of BE after the conversion to RYGB. Two patients had RYGB combined with hiatoplasty. The mean acid exposure time in 24 h decreased from 36.8 to 3.8% and the mean DeMeester score from 110.0 to 16.3. Patients scored 5.1 on average in the BAROS after conversion from SG to RYGB which denotes a very good outcome. Conclusions RYGB is an effective therapy for patients with BE and reflux after SG. Its outcomes in the current study were BE remission in the majority of cases as well as a decrease in reflux activity. Further studies with larger cohorts are necessary to confirm these findings.

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