Active clinical trials for "Metaplasia"

The OLGIM staging system is highly recommended for a comprehensive assessment of GIM severity to evaluate patients' gastric cancer risk. However, its need to take at least 4 biopsies is not clinically feasible due to a serious shortage of pathologists compared with the large number of gastric cancer screening population. We plan to develop a Digital Pathology artificial intelligence diagnosis system (DPAIDS), to automatically identify tumor areas in whole slide images(WSI) and quickly and accurately quantify the severity of intestinal metaplasia according to the proportion of intestinal metaplasia areas.

Current national guidelines recommend the use of OLGIM score to evaluate the risk of gastric cancer in patients, and close gastroscopic monitoring should be performed after OLGIM grade III/IV. However, it would not be clinically feasible to require at least four biopsies. Confocal laser endomicroscopy is able to magnify the tissue by 1000X, which can be seen at the cellular level. Observing goblet cells under Confocal laser endomicroscopy is simpler and diagnostic accuracy is comparable to pathology. Confocal laser endomicroscopy enables better assessment of intestinal metaplasia in gastric mucosa, thus quantifying the risk of gastric cancer and avoiding multiple biopsies.

The primary objectives of this study are: To identify clinical or histological factors associated with gastric cancer development in patients with IM and AG To establish a machine learning algorithm for prediction of future gastric cancer risks and individual risk stratification in patient with IM and AG

The operative link on gastric intestinal metaplasia assessment (OLGIM) staging systems using biopsy specimens were commonly used for histological assessment of gastric cancer risk. But its clinical application is limited for at least biopsy samples. The endoscopic grading system (EGGIM) has been shown a significant correlation with the OLGIM. The investigators designed a computer-aided diagnosis program using deep neural network to automatically evaluate the extent of IM and calculate the EGGIM scores in endoscopy examination. This study is aimed at exploring the relevance of the EGGIM scores automatically evaluated by Artificial Intelligence and OLGIM scores.

In this study, we aim to establish a prospective cohort of patients with endoscopically and histologically confirmed intestinal metaplasia, collect gastric mucosal tissue samples from this cohort, and follow the development of gastric cancer over time.

This study is designed to evaluate the effect of dexlansoprazole once daily (QD) and twice daily (BID) dosing on the recurrence of intestinal metaplasia (IM) in participants who achieved complete eradication of Barrett's esophagus (BE) with high-grade dysplasia (HGD) following radiofrequency ablation (RFA).

In this project, we are trying to identify patients with the earliest signs of abnormality in the lining of the lower part of the food pipe (or esophagus) known as intestinal metaplasia (IM); also commonly called Barrett's esophagus or Barrett's Epithelium (BE). IM is sometimes difficult to diagnose by routine microscopic examination (called histology). We have developed a specific antibody, a protein called immunoglobulin that specifically reacts with another partner protein, if it exists. Using this marker antibody (called mAb Das-1) that has been patented (US patent #5,888,743), we have shown that this marker can detect the abnormal changes in the distal esophagus before it is evident by histology. IM usually develops in the face of long-term acid reflux from the stomach to the esophagus and causes the lining to change from the normal squamous type (like that of skin) to a type of lining normally seen in the small intestine and colon. A subgroup of patients with IM may, subsequently, develop histologically evident Barrett's Epithelium and a small percent of these patients may develop cancer of the esophagus. Thus, BE is considered as a pre-cancerous condition. We already have an ongoing IRB for the portion of the project involving taking biopsies and performing the antibody staining to identify patients that react with the antibody but histologically negative for BE.

The study is aimed to investigate the different rates of pyloric/ pseudopyloric metaplasia or spasmolytic polypeptide-expressing metaplasia (SPEM) of corpus between autoimmune gastritis and H. pylori-infected non-ulcer dyspepsia.

Helicobacter pylori (H. pylori) infection, affecting an estimated 50% of the global population, is a main cause of chronic gastritis, peptic ulcers and gastric cancer. By causing progressive damage to the stomach and may eventually result in gastric atrophy, H. pylori infection has been demonstrated to be responsible for more than 95% of gastric malignancies

This phase I trial studies the side effects and best dose of erlotinib hydrochloride in preventing cancer in patients with precancerous lesions of the lung. Erlotinib hydrochloride may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth.