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Premalignant lesions and gastric cancer: Current understanding 被引量:13
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作者 Athanasios Koulis Andrew Buckle alex boussioutas 《World Journal of Gastrointestinal Oncology》 SCIE CAS 2019年第9期665-678,共14页
Over the last two decades there has been a broad paradigm shift in our understanding of gastric cancer(GC)and its premalignant states from gross histological models to increasingly precise molecular descriptions.In th... Over the last two decades there has been a broad paradigm shift in our understanding of gastric cancer(GC)and its premalignant states from gross histological models to increasingly precise molecular descriptions.In this review we reflect upon the historic approaches to describing premalignant lesions and GC,highlight the current molecular landscape and how this could inform future risk assessment prevention strategies. 展开更多
关键词 HELICOBACTER PYLORI Correa cascade ATROPHIC GASTRITIS Intestinal METAPLASIA Point of no return DYSPLASIA Stem cells Gastric cancer
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GASTROINTESTINAL ABNORMALITIES IDENTIFIED BY FLUORESCENCE ENDOMICROSCOPY
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作者 HONGCHUN BAO alex boussioutas +2 位作者 MCGEAREY ALEIXANDRIA RITA BUSUTTIL MIN GU 《Journal of Innovative Optical Health Sciences》 SCIE EI CAS 2012年第4期33-38,共6页
Real-tine in vivo microscopic imaging has becomne a reality with the advent of confocal and nonlinear endomicroscopy.These devices are best utilized in conjunction with standard white light endoscopy.We evaluated the ... Real-tine in vivo microscopic imaging has becomne a reality with the advent of confocal and nonlinear endomicroscopy.These devices are best utilized in conjunction with standard white light endoscopy.We evaluated the use of fuorescence endomicroscopy in detecting microscopic abnormalities in colonic tisues.Mice of C57bl/6 strain had intraperitoneal injection with azoxymethane once every week for five weeks and littermates,not exposed to azoxymethane served as controls.After 14 weeks,intestines were imaged by fuorescence endomicroscopy.The images show obvious cellular structural diferences between those two groups of mice.The difference in endomicroscopy imaging can be used for identifying tissues suspicious for neoplasia or other changes,leading to early diagnosis of gastrointestinal track of cancer. 展开更多
关键词 ENDOMICROSCOPY fuorescence imaging one photon fluorescence imaging gastroin-testinal cancers goblet cells NEOPLASIA
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Pathogenesis and precision medicine for predicting response in inflammatory bowel disease:advances and future directions 被引量:4
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作者 Robert D Little Thisun Jayawardana +7 位作者 Sabrina Koentgen Fan Zhang Susan J Connor alex boussioutas Mark G Ward Peter R Gibson Miles P Sparrow Georgina L Hold 《eGastroenterology》 2024年第1期41-52,共12页
The pathogenesis of inflammatory bowel disease(IBD)is complex and multifactorial.Undertreated disease has substantial individual and societal consequences.Current patient classification and subsequent positioning of I... The pathogenesis of inflammatory bowel disease(IBD)is complex and multifactorial.Undertreated disease has substantial individual and societal consequences.Current patient classification and subsequent positioning of IBD therapy are based on crude,readily accessible clinical data.These broad parameters are unlikely to reflect underlying molecular profiles and may account for the observed heterogeneity in treatment response.Precision medicine offers identification and integration of molecular profiles into clinical decision-making.Despite several promising scientific and technological advances,the pathogenesis and targetable molecular drivers of IBD remain incompletely understood.Precision medicine therefore remains aspirational.This comprehensive narrative review describes our current understanding of IBD pathophysiology,highlights preliminary genetic,immunological and microbial predictors of treatment response and outlines the role of‘big data’and machine learning in the path towards precision medicine. 展开更多
关键词 machine learning PATHOGENESIS treatment response inflammatory bowel disease ibd inflammatory bowel disease precision medicine molecular profiles big data
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