scholarly journals Endoscopic Classification of Intestinal Metaplasia

2013 ◽  
Vol 13 (2) ◽  
pp. 78 ◽  
Author(s):  
Byoung Wook Bang ◽  
Hyung Gil Kim
Keyword(s):  
Intestinal Metaplasia ◽  
Endoscopic Classification

Endoscopic grading of gastric intestinal metaplasia on risk assessment for early gastric neoplasia: can we replace histology assessment also in the West?

Gut ◽  
2020 ◽  
Vol 69 (10) ◽  
pp. 1762-1768 ◽  
Author(s):  
Pedro Marcos ◽  
Gisela Brito-Gonçalves ◽  
Diogo Libânio ◽  
Inês Pita ◽  
Rui Castro ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Intestinal Metaplasia ◽  
Matched Control ◽  
Gastric Intestinal Metaplasia ◽  
Control Subjects ◽  
Gastric Neoplasia ◽  
Endoscopic Classification ◽  
Control Study

ObjectivesTo assess the value of endoscopic grading of gastric intestinal metaplasia (EGGIM), operative link on gastritis assessment (OLGA) and operative link on gastric intestinal metaplasia (OLGIM) on risk stratification for early gastric neoplasia (EGN) and to investigate other factors possibly associated with its development.DesignSingle centre, case–control study including 187 patients with EGN treated endoscopically and 187 age-matched and sex-matched control subjects. Individuals were classified according to EGGIM, OLGA and OLGIM systems. EGN risk according to gastritis stages and other clinical parameters was further evaluated.ResultsMore patients with EGN had EGGIM of ≥5 than control subjects (68.6% vs 13.3%, p<0.001). OLGA and OLGIM stages III/IV were more prevalent in patients with EGN than in control subjects (68% vs 11%, p<0.001, and 61% vs 3%, p<0.001, respectively). The three systems were the only parameters significantly related to the risk of EGN in multivariate analysis: for EGGIM 1–4 (adjusted OR (AOR) 12.9, 95% CI 1.4 to 118.6) and EGGIM 5–10 (AOR 21.2, 95% CI 5.0 to 90.2); for OLGA I/II (AOR 5.0, 95% CI 0.56 to 44.5) and OLGA III/IV (AOR 11.1, 95% CI 3.7 to 33.1); for OLGIM I/II (AOR 11.5, 95% CI 4.1 to 32.3) and OLGIM III/IV (AOR 16.0, 95% CI 7.6 to 33.4).ConclusionThis study confirms the role of histological assessment as an independent risk factor for gastric cancer (GC), but it is the first study to show that an endoscopic classification of gastric intestinal metaplasia is highly associated with that outcome. After further prospective validation, this classification may be appropriate for GC risk stratification and may simplify every day practice by reducing the need for biopsies.

Fr612 INFLUENCE OF COMPUTER AIDED DIAGNOSIS WITH AUGMENTED VISUALIZATION ON ENDOSCOPIC CLASSIFICATION OF COLORECTAL POLYPS

2021 ◽  
Vol 160 (6) ◽  
pp. S-376
Author(s):  
Eladio Rodriguez-Diaz ◽  
Gyorgy Baffy Wai-Kit Lo ◽  
Hiroshi Mashimo ◽  
Aparna Repaka ◽  
Alexander Goldowsky ◽  
...  
Keyword(s):  
Computer Aided Diagnosis ◽  
Colorectal Polyps ◽  
Computer Aided ◽  
Endoscopic Classification ◽  
Aided Diagnosis

scholarly journals Expert-level classification of gastritis by endoscopy using deep learning: a multicenter diagnostic trial

2021 ◽  
Vol 09 (06) ◽  
pp. E955-E964
Author(s):  
Ganggang Mu ◽  
Yijie Zhu ◽  
Zhanyue Niu ◽  
Shigang Ding ◽  
Honggang Yu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Atrophic Gastritis ◽  
Intestinal Metaplasia ◽  
Layer By Layer ◽  
Test Set ◽  
White Light Endoscopy ◽  
High Risk Factors ◽  
External Test ◽  
Diagnostic Trial

Abstract Background and study aims Endoscopy plays a crucial role in diagnosis of gastritis. Endoscopists have low accuracy in diagnosing atrophic gastritis with white-light endoscopy (WLE). High-risk factors (such as atrophic gastritis [AG]) for carcinogenesis demand early detection. Deep learning (DL)-based gastritis classification with WLE rarely has been reported. We built a system for improving the accuracy of diagnosis of AG with WLE to assist with this common gastritis diagnosis and help lessen endoscopist fatigue. Methods We collected a total of 8141 endoscopic images of common gastritis, other gastritis, and non-gastritis in 4587 cases and built a DL -based system constructed with UNet + + and Resnet-50. A system was developed to sort common gastritis images layer by layer: The first layer included non-gastritis/common gastritis/other gastritis, the second layer contained AG/non-atrophic gastritis, and the third layer included atrophy/intestinal metaplasia and erosion/hemorrhage. The convolutional neural networks were tested with three separate test sets. Results Rates of accuracy for classifying non-atrophic gastritis/AG, atrophy/intestinal metaplasia, and erosion/hemorrhage were 88.78 %, 87.40 %, and 93.67 % in internal test set, 91.23 %, 85.81 %, and 92.70 % in the external test set ,and 95.00 %, 92.86 %, and 94.74 % in the video set, respectively. The hit ratio with the segmentation model was 99.29 %. The accuracy for detection of non-gastritis/common gastritis/other gastritis was 93.6 %. Conclusions The system had decent specificity and accuracy in classification of gastritis lesions. DL has great potential in WLE gastritis classification for assisting with achieving accurate diagnoses after endoscopic procedures.

Correction: Development and validation of the SIMPLE endoscopic classification of diminutive and small colorectal polyps

Endoscopy ◽  
2018 ◽  
Vol 50 (08) ◽  
pp. C8-C8 ◽  
Author(s):  
Marietta Iacucci ◽  
Cristina Trovato ◽  
Marco Daperno ◽  
Oluseyi Akinola ◽  
David Greenwald ◽  
...  
Keyword(s):  
Colorectal Polyps ◽  
Endoscopic Classification ◽  
Development And Validation

Endoscopic classification of local recurrence after definitive chemoradiotherapy for esophageal squamous cell carcinoma

Esophagus ◽  
2009 ◽  
Vol 6 (4) ◽  
pp. 243-248 ◽  
Author(s):  
Sachiko Yamamoto ◽  
Ryu Ishihara ◽  
Hiroyasu Iishi ◽  
Noriya Uedo ◽  
Yoji Takeuchi ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Local Recurrence ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Definitive Chemoradiotherapy ◽  
Endoscopic Classification

Endoscopic classification of vascular lesions of the small intestine (with videos)

2008 ◽  
Vol 67 (1) ◽  
pp. 169-172 ◽  
Author(s):  
Tomonori Yano ◽  
Hironori Yamamoto ◽  
Keijiro Sunada ◽  
Tomohiko Miyata ◽  
Michiko Iwamoto ◽  
...  
Keyword(s):  
Small Intestine ◽  
Vascular Lesions ◽  
Endoscopic Classification

Accuracy and reliability of the endoscopic classification of portal hypertensive gastropathy

2002 ◽  
Vol 56 (5) ◽  
pp. 675-680 ◽  
Author(s):  
Hwan Y. Yoo ◽  
Joseph A. Eustace ◽  
Sumita Verma ◽  
Lin Zhang ◽  
Mary Harris ◽  
...  
Keyword(s):  
Portal Hypertensive Gastropathy ◽  
Endoscopic Classification

Endoscopic Classification of Eosinophilic Esofagitis

2014 ◽  
Vol 109 ◽  
pp. S563
Author(s):  
Lorete Kotze ◽  
Augusto Fey
Keyword(s):  
Endoscopic Classification
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