Barrett’s esophagus(BE) is a complication of gastroesophageal reflux disease,and a premalignant lesion for esophageal adenocarcinoma(EAC).Observational studies suggest that endoscopic surveillance is associated with ...Barrett’s esophagus(BE) is a complication of gastroesophageal reflux disease,and a premalignant lesion for esophageal adenocarcinoma(EAC).Observational studies suggest that endoscopic surveillance is associated with the detection of dysplasia and EAC at an early stage along with improved survival,but controversies still remain.The management of patients with BE involves endoscopic surveillance,preventive and clinical measures for cancer,and endoscopic and surgical approaches to treatment.Deciding upon the most appropriate treatment is a challenge.This study presents the results and the effectiveness of these practices.展开更多
BACKGROUND Previous observational studies have shown that the prevalence of gastroesophageal reflux disease(GERD)and Barrett’s esophagus(BE)is associated with socioeconomic status.However,due to the methodological li...BACKGROUND Previous observational studies have shown that the prevalence of gastroesophageal reflux disease(GERD)and Barrett’s esophagus(BE)is associated with socioeconomic status.However,due to the methodological limitations of traditional observational studies,it is challenging to definitively establish causality.AIM To explore the causal relationship between the prevalence of these conditions and socioeconomic status using Mendelian randomization(MR).METHODS We initially screened single nucleotide polymorphisms(SNPs)to serve as proxies for eight socioeconomic status phenotypes for univariate MR analysis.The inverse variance weighted(IVW)method was used as the primary analytical method to estimate the causal relationship between the eight socioeconomic status phenotypes and the risk of GERD and BE.We then collected combinations of SNPs as composite proxies for the eight socioeconomic phenotypes to perform multivariate MR(MVMR)analyses based on the IVW MVMR model.Furthermore,a two-step MR mediation analysis was used to examine the potential mediation of the associations by body mass index,major depressive disorder(MDD),smoking,alcohol consumption,and sleep duration.RESULTS The study identified three socioeconomic statuses that had a significant impact on GERD.These included household income[odds ratio(OR):0.46;95% confidence interval(95%CI):0.31-0.70],education attainment(OR:0.23;95%CI:0.18-0.29),and the Townsend Deprivation Index at recruitment(OR:1.57;95%CI:1.04-2.37).These factors were found to independently and predominantly influence the genetic causal effect of GERD.Furthermore,the mediating effect of educational attainment on GERD was found to be mediated by MDD(proportion mediated:10.83%).Similarly,the effect of educational attainment on BE was mediated by MDD(proportion mediated:10.58%)and the number of cigarettes smoked per day(proportion mediated:3.50%).Additionally,the mediating effect of household income on GERD was observed to be mediated by sleep duration(proportion mediated:9.75%)CONCLUSION This MR study shed light on the link between socioeconomic status and GERD or BE,providing insights for the prevention of esophageal cancer and precancerous lesions.展开更多
BACKGROUND Barrett’s esophagus(BE),which has increased in prevalence worldwide,is a precursor for esophageal adenocarcinoma.Although there is a gap in the detection rates between endoscopic BE and histological BE in ...BACKGROUND Barrett’s esophagus(BE),which has increased in prevalence worldwide,is a precursor for esophageal adenocarcinoma.Although there is a gap in the detection rates between endoscopic BE and histological BE in current research,we trained our artificial intelligence(AI)system with images of endoscopic BE and tested the system with images of histological BE.AIM To assess whether an AI system can aid in the detection of BE in our setting.METHODS Endoscopic narrow-band imaging(NBI)was collected from Chung Shan Medical University Hospital and Changhua Christian Hospital,resulting in 724 cases,with 86 patients having pathological results.Three senior endoscopists,who were instructing physicians of the Digestive Endoscopy Society of Taiwan,independently annotated the images in the development set to determine whether each image was classified as an endoscopic BE.The test set consisted of 160 endoscopic images of 86 cases with histological results.RESULTS Six pre-trained models were compared,and EfficientNetV2B2(accuracy[ACC]:0.8)was selected as the backbone architecture for further evaluation due to better ACC results.In the final test,the AI system correctly identified 66 of 70 cases of BE and 85 of 90 cases without BE,resulting in an ACC of 94.37%.CONCLUSION Our AI system,which was trained by NBI of endoscopic BE,can adequately predict endoscopic images of histological BE.The ACC,sensitivity,and specificity are 94.37%,94.29%,and 94.44%,respectively.展开更多
BACKGROUND Esophageal replacement(ER)with gastric pull-up(GPU)or jejunal interposition(JI)used to be the standard treatment for long-gap esophageal atresia(LGEA).Changes of the ER grafts on a macro-and microscopic lev...BACKGROUND Esophageal replacement(ER)with gastric pull-up(GPU)or jejunal interposition(JI)used to be the standard treatment for long-gap esophageal atresia(LGEA).Changes of the ER grafts on a macro-and microscopic level however,are unknown.AIM To evaluate long-term clinical symptoms and anatomical and mucosal changes in adolescents and adults after ER for LGEA.METHODS A cohort study was conducted including all LGEA patients≥16 years who had undergone GPU or JI between 1985-2003 at two tertiary referral centers in the Netherlands.Patients underwent clinical assessment,contrast study and endoscopy with biopsy.Data was collected prospectively.Group differences between JI and GPU patients,and associations between different outcome measures were assessed using the Fisher’s exact test for bivariate variables and the Mann-Whitney U-test for continuous variables.Differences with a P-value<0.05 were considered statistically significant.RESULTS Nine GPU patients and eleven JI patients were included.Median age at follow-up was 21.5 years and 24.4 years,respectively.Reflux was reported in six GPU patients(67%)vs four JI patients(36%)(P=0.37).Dysphagia symptoms were reported in 64%of JI patients,compared to 22%of GPU patients(P=0.09).Contrast studies showed dilatation of the jejunal graft in six patients(55%)and graft lengthening in four of these six patients.Endoscopy revealed columnar-lined esophagus in three GPU patients(33%)and intestinal metaplasia was histologically confirmed in two patients(22%).No association was found between reflux symptoms and macroscopic anomalies or intestinal metaplasia.Three GPU patients(33%)experienced severe feeding problems vs none in the JI group.The median body mass index of JI patients was 20.9 kg/m^(2) vs 19.5 kg/m^(2) in GPU patients(P=0.08).CONCLUSION The majority of GPU patients had reflux and intestinal metaplasia in 22%.The majority of JI patients had dysphagia and a dilated graft.Follow-up after ER for LGEA is essential.展开更多
Confocal laser endomicroscopy (CLE) is a new endoscopic imaging technology that allows real-time, high-resolution observation of tomographic images of mucosal cells and subcellular levels in vivo, detecting microscopi...Confocal laser endomicroscopy (CLE) is a new endoscopic imaging technology that allows real-time, high-resolution observation of tomographic images of mucosal cells and subcellular levels in vivo, detecting microscopic structural changes in mucosal morphology, and its in vivo immediate pathological diagnostic capability can avoid delays in mucosal pathological diagnosis and reduce the pain caused by repeated biopsies. CLE is known as “optical biopsy” and compared with other endoscopic techniques, it has obvious advantages. CLE systems include probe-based confocal laser endomicroscopy (pCLE) and endoscope-based confocal laser endomicroscopy (eCLE). Since 2006, CLE has been widely used for the evaluation of various lesions in the digestive system, including esophageal, gastric, and colonic neoplasia, pancreatic cysts and solid lesions, and inflammatory bowel disease. The advent of CLE has made in vivo microscopic imaging possible, which has changed the endoscopic screening and diagnosis of multiple gastrointestinal (GI) lesions. However, the value of its use in GI diseases is still controversial. In this review, we focus on the application of CLE in the field of esophageal diseases.展开更多
The application of artificial intelligence(AI)in gastrointestinal endoscopy has gained significant traction over the last decade.One of the more recent applications of AI in this field includes the detection of dyspla...The application of artificial intelligence(AI)in gastrointestinal endoscopy has gained significant traction over the last decade.One of the more recent applications of AI in this field includes the detection of dysplasia and cancer in Barrett’s esophagus(BE).AI using deep learning methods has shown promise as an adjunct to the endoscopist in detecting dysplasia and cancer.Apart from visual detection and diagnosis,AI may also aid in reducing the considerable interobserver variability in identifying and distinguishing dysplasia on whole slide images from digitized BE histology slides.This review aims to provide a comprehensive summary of the key studies thus far as well as providing an insight into the future role of AI in Barrett’s esophagus.展开更多
文摘Barrett’s esophagus(BE) is a complication of gastroesophageal reflux disease,and a premalignant lesion for esophageal adenocarcinoma(EAC).Observational studies suggest that endoscopic surveillance is associated with the detection of dysplasia and EAC at an early stage along with improved survival,but controversies still remain.The management of patients with BE involves endoscopic surveillance,preventive and clinical measures for cancer,and endoscopic and surgical approaches to treatment.Deciding upon the most appropriate treatment is a challenge.This study presents the results and the effectiveness of these practices.
基金Supported by Sichuan Research Center for Coordinated Development of TCM Culture,No.2022XT12.
文摘BACKGROUND Previous observational studies have shown that the prevalence of gastroesophageal reflux disease(GERD)and Barrett’s esophagus(BE)is associated with socioeconomic status.However,due to the methodological limitations of traditional observational studies,it is challenging to definitively establish causality.AIM To explore the causal relationship between the prevalence of these conditions and socioeconomic status using Mendelian randomization(MR).METHODS We initially screened single nucleotide polymorphisms(SNPs)to serve as proxies for eight socioeconomic status phenotypes for univariate MR analysis.The inverse variance weighted(IVW)method was used as the primary analytical method to estimate the causal relationship between the eight socioeconomic status phenotypes and the risk of GERD and BE.We then collected combinations of SNPs as composite proxies for the eight socioeconomic phenotypes to perform multivariate MR(MVMR)analyses based on the IVW MVMR model.Furthermore,a two-step MR mediation analysis was used to examine the potential mediation of the associations by body mass index,major depressive disorder(MDD),smoking,alcohol consumption,and sleep duration.RESULTS The study identified three socioeconomic statuses that had a significant impact on GERD.These included household income[odds ratio(OR):0.46;95% confidence interval(95%CI):0.31-0.70],education attainment(OR:0.23;95%CI:0.18-0.29),and the Townsend Deprivation Index at recruitment(OR:1.57;95%CI:1.04-2.37).These factors were found to independently and predominantly influence the genetic causal effect of GERD.Furthermore,the mediating effect of educational attainment on GERD was found to be mediated by MDD(proportion mediated:10.83%).Similarly,the effect of educational attainment on BE was mediated by MDD(proportion mediated:10.58%)and the number of cigarettes smoked per day(proportion mediated:3.50%).Additionally,the mediating effect of household income on GERD was observed to be mediated by sleep duration(proportion mediated:9.75%)CONCLUSION This MR study shed light on the link between socioeconomic status and GERD or BE,providing insights for the prevention of esophageal cancer and precancerous lesions.
文摘BACKGROUND Barrett’s esophagus(BE),which has increased in prevalence worldwide,is a precursor for esophageal adenocarcinoma.Although there is a gap in the detection rates between endoscopic BE and histological BE in current research,we trained our artificial intelligence(AI)system with images of endoscopic BE and tested the system with images of histological BE.AIM To assess whether an AI system can aid in the detection of BE in our setting.METHODS Endoscopic narrow-band imaging(NBI)was collected from Chung Shan Medical University Hospital and Changhua Christian Hospital,resulting in 724 cases,with 86 patients having pathological results.Three senior endoscopists,who were instructing physicians of the Digestive Endoscopy Society of Taiwan,independently annotated the images in the development set to determine whether each image was classified as an endoscopic BE.The test set consisted of 160 endoscopic images of 86 cases with histological results.RESULTS Six pre-trained models were compared,and EfficientNetV2B2(accuracy[ACC]:0.8)was selected as the backbone architecture for further evaluation due to better ACC results.In the final test,the AI system correctly identified 66 of 70 cases of BE and 85 of 90 cases without BE,resulting in an ACC of 94.37%.CONCLUSION Our AI system,which was trained by NBI of endoscopic BE,can adequately predict endoscopic images of histological BE.The ACC,sensitivity,and specificity are 94.37%,94.29%,and 94.44%,respectively.
文摘BACKGROUND Esophageal replacement(ER)with gastric pull-up(GPU)or jejunal interposition(JI)used to be the standard treatment for long-gap esophageal atresia(LGEA).Changes of the ER grafts on a macro-and microscopic level however,are unknown.AIM To evaluate long-term clinical symptoms and anatomical and mucosal changes in adolescents and adults after ER for LGEA.METHODS A cohort study was conducted including all LGEA patients≥16 years who had undergone GPU or JI between 1985-2003 at two tertiary referral centers in the Netherlands.Patients underwent clinical assessment,contrast study and endoscopy with biopsy.Data was collected prospectively.Group differences between JI and GPU patients,and associations between different outcome measures were assessed using the Fisher’s exact test for bivariate variables and the Mann-Whitney U-test for continuous variables.Differences with a P-value<0.05 were considered statistically significant.RESULTS Nine GPU patients and eleven JI patients were included.Median age at follow-up was 21.5 years and 24.4 years,respectively.Reflux was reported in six GPU patients(67%)vs four JI patients(36%)(P=0.37).Dysphagia symptoms were reported in 64%of JI patients,compared to 22%of GPU patients(P=0.09).Contrast studies showed dilatation of the jejunal graft in six patients(55%)and graft lengthening in four of these six patients.Endoscopy revealed columnar-lined esophagus in three GPU patients(33%)and intestinal metaplasia was histologically confirmed in two patients(22%).No association was found between reflux symptoms and macroscopic anomalies or intestinal metaplasia.Three GPU patients(33%)experienced severe feeding problems vs none in the JI group.The median body mass index of JI patients was 20.9 kg/m^(2) vs 19.5 kg/m^(2) in GPU patients(P=0.08).CONCLUSION The majority of GPU patients had reflux and intestinal metaplasia in 22%.The majority of JI patients had dysphagia and a dilated graft.Follow-up after ER for LGEA is essential.
文摘Confocal laser endomicroscopy (CLE) is a new endoscopic imaging technology that allows real-time, high-resolution observation of tomographic images of mucosal cells and subcellular levels in vivo, detecting microscopic structural changes in mucosal morphology, and its in vivo immediate pathological diagnostic capability can avoid delays in mucosal pathological diagnosis and reduce the pain caused by repeated biopsies. CLE is known as “optical biopsy” and compared with other endoscopic techniques, it has obvious advantages. CLE systems include probe-based confocal laser endomicroscopy (pCLE) and endoscope-based confocal laser endomicroscopy (eCLE). Since 2006, CLE has been widely used for the evaluation of various lesions in the digestive system, including esophageal, gastric, and colonic neoplasia, pancreatic cysts and solid lesions, and inflammatory bowel disease. The advent of CLE has made in vivo microscopic imaging possible, which has changed the endoscopic screening and diagnosis of multiple gastrointestinal (GI) lesions. However, the value of its use in GI diseases is still controversial. In this review, we focus on the application of CLE in the field of esophageal diseases.
文摘The application of artificial intelligence(AI)in gastrointestinal endoscopy has gained significant traction over the last decade.One of the more recent applications of AI in this field includes the detection of dysplasia and cancer in Barrett’s esophagus(BE).AI using deep learning methods has shown promise as an adjunct to the endoscopist in detecting dysplasia and cancer.Apart from visual detection and diagnosis,AI may also aid in reducing the considerable interobserver variability in identifying and distinguishing dysplasia on whole slide images from digitized BE histology slides.This review aims to provide a comprehensive summary of the key studies thus far as well as providing an insight into the future role of AI in Barrett’s esophagus.
