Gastroenterology & Endoscopy最新文献

英文中文

The role of artificial intelligence in ultrasonographic diagnosis of liver cancer: Current status and future perspectives 人工智能在肝癌超声诊断中的作用：现状及展望

Gastroenterology & Endoscopy

Pub Date : 2025-10-01 DOI: 10.1016/j.gande.2025.09.002

Yubing Shen , Luwen Zhang , Peng Wu

With the rapid advancement of artificial intelligence (AI) technologies, ultrasonography has undergone transformative progress in the diagnosis of liver cancer. This review summarizes the latest developments of AI-assisted ultrasonographic diagnosis of liver cancer, including commonly used ultrasound modalities (such as B-mode ultrasound and contrast-enhanced ultrasound) and their applicability across different patient populations. AI models have demonstrated superior performance in tasks such as distinguishing malignant from benign lesions, tumor subtyping, and multitask learning. They are particularly proficient in detecting small lesions, extracting quantitative imaging features, and minimizing subjective bias. Technological advancements in this field have evolved from traditional machine learning to deep learning and further to multimodal fusion approaches. The focus has shifted from static image analysis to dynamic video processing, from single-task models to multitask frameworks, and from model-centric development to clinical integration. Although many AI models have outperformed traditional diagnostic methods and even expert radiologists in performance, their clinical translation remains hindered by several challenges. These include the scarcity of high-quality annotated data, absence of standardized protocols, limited model interpretability, and complexities in multimodal data integration. Future directions should concentrate on establishing standardized multicenter databases, advancing privacy-preserving federated learning techniques, strengthening interdisciplinary collaboration, and conducting prospective clinical validation and real-world studies. As a non-invasive and efficient tool, AI-assisted ultrasonographic diagnosis of liver cancer holds great promise in the era of precision medicine.

随着人工智能（AI）技术的飞速发展，超声检查在肝癌诊断方面取得了革命性的进展。本文综述了人工智能辅助超声诊断肝癌的最新进展，包括常用的超声模式（如b超和增强超声）及其在不同患者群体中的适用性。人工智能模型在区分良性和恶性病变、肿瘤亚型和多任务学习等任务中表现优异。他们在检测小病变、提取定量成像特征和减少主观偏见方面尤其熟练。该领域的技术进步已经从传统的机器学习发展到深度学习，再到多模态融合方法。重点已经从静态图像分析转向动态视频处理，从单任务模型转向多任务框架，从以模型为中心的开发转向临床集成。尽管许多人工智能模型在性能上超过了传统的诊断方法，甚至超过了放射科专家，但它们的临床应用仍然受到一些挑战的阻碍。这些问题包括缺乏高质量的带注释的数据、缺乏标准化协议、有限的模型可解释性以及多模态数据集成中的复杂性。未来的方向应该集中在建立标准化的多中心数据库，推进保护隐私的联合学习技术，加强跨学科合作，进行前瞻性临床验证和现实世界的研究。人工智能辅助肝癌超声诊断作为一种无创、高效的诊断工具，在精准医疗时代具有广阔的应用前景。

{"title":"The role of artificial intelligence in ultrasonographic diagnosis of liver cancer: Current status and future perspectives","authors":"Yubing Shen , Luwen Zhang , Peng Wu","doi":"10.1016/j.gande.2025.09.002","DOIUrl":"10.1016/j.gande.2025.09.002","url":null,"abstract":"<div><div>With the rapid advancement of artificial intelligence (AI) technologies, ultrasonography has undergone transformative progress in the diagnosis of liver cancer. This review summarizes the latest developments of AI-assisted ultrasonographic diagnosis of liver cancer, including commonly used ultrasound modalities (such as B-mode ultrasound and contrast-enhanced ultrasound) and their applicability across different patient populations. AI models have demonstrated superior performance in tasks such as distinguishing malignant from benign lesions, tumor subtyping, and multitask learning. They are particularly proficient in detecting small lesions, extracting quantitative imaging features, and minimizing subjective bias. Technological advancements in this field have evolved from traditional machine learning to deep learning and further to multimodal fusion approaches. The focus has shifted from static image analysis to dynamic video processing, from single-task models to multitask frameworks, and from model-centric development to clinical integration. Although many AI models have outperformed traditional diagnostic methods and even expert radiologists in performance, their clinical translation remains hindered by several challenges. These include the scarcity of high-quality annotated data, absence of standardized protocols, limited model interpretability, and complexities in multimodal data integration. Future directions should concentrate on establishing standardized multicenter databases, advancing privacy-preserving federated learning techniques, strengthening interdisciplinary collaboration, and conducting prospective clinical validation and real-world studies. As a non-invasive and efficient tool, AI-assisted ultrasonographic diagnosis of liver cancer holds great promise in the era of precision medicine.</div></div>","PeriodicalId":100571,"journal":{"name":"Gastroenterology & Endoscopy","volume":"3 4","pages":"Pages 241-250"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145332466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Erratum to missing informed consent forms 缺失知情同意书的勘误表

Gastroenterology & Endoscopy

Pub Date : 2025-10-01 DOI: 10.1016/j.gande.2025.06.002

引用次数: 0

Erratum to previously published articles regarding missing conflict-of-interest disclosures 先前发表的关于遗漏的利益冲突披露的文章的勘误表

Gastroenterology & Endoscopy

Pub Date : 2025-10-01 DOI: 10.1016/j.gande.2025.06.003

引用次数: 0

Randomized controlled trials evaluating large language models in digestive diseases: a scoping review 评价消化系统疾病大语言模型的随机对照试验：范围综述

Gastroenterology & Endoscopy

Pub Date : 2025-10-01 DOI: 10.1016/j.gande.2025.09.003

Peng Wu , Fuxiao Li , Yuanxi Jia , Jiaqian Yin , Yubing Shen , Yanxiao Gao , Ying Li , Feng Sha , Zhirong Yang , Jinling Tang

This scoping review summarizes the current landscape of randomized controlled trials (RCTs) evaluating the use of large language models (LLMs) in digestive diseases. We conducted a systematic search of PubMed, Web of Science, Scopus, and CENTRAL for published RCTs, and of ClinicalTrials.gov and the International Clinical Trials Registry Platform (ICTRP) for ongoing trials. We included RCTs on digestive diseases in which LLMs were the primary intervention. A total of four published and ten ongoing RCTs were identified. Most trials were conducted in China and the United States, primarily as single-country, single-center studies. Gastrointestinal diseases were the main focus, followed by hepatobiliary conditions. The assessed LLM applications predominantly supported clinical decision-making and patient education, with question answering emerging as the most common natural language processing task. Notably, the trials were relatively balanced in their use of general-purpose versus domain-specific LLMs, reflecting diverse strategies in model deployment. The most common study design involved comparisons between LLM-assisted and unassisted approaches, with primary outcomes centered on various aspects of care management. The main limitation of this review is the relatively small number of available studies. Despite this, the identified trials highlight the promising potential of LLM applications in digestive diseases. Further international, multicenter, well-reported RCTs with a focus on real patient outcomes are urgently needed to confirm the usefulness of LLMs in clinical practice.

本综述综述了评估大语言模型（LLMs）在消化系统疾病中的应用的随机对照试验（rct）的现状。我们系统地检索了PubMed、Web of Science、Scopus和CENTRAL的已发表的随机对照试验，以及ClinicalTrials.gov和国际临床试验注册平台（ICTRP）的正在进行的试验。我们纳入了以llm为主要干预措施的消化系统疾病的随机对照试验。共确定了4项已发表的随机对照试验和10项正在进行的随机对照试验。大多数试验在中国和美国进行，主要是单国家、单中心研究。胃肠道疾病是主要的焦点，其次是肝胆疾病。评估的法学硕士应用程序主要支持临床决策和患者教育，回答问题成为最常见的自然语言处理任务。值得注意的是，这些试验在使用通用法学硕士和特定领域法学硕士方面相对平衡，反映了模型部署中的不同策略。最常见的研究设计包括比较llm辅助和非辅助方法，主要结果集中在护理管理的各个方面。本综述的主要局限性是现有研究的数量相对较少。尽管如此，确定的试验突出了LLM在消化系统疾病中的应用潜力。迫切需要进一步的国际、多中心、报道良好的rct，关注真实的患者结果，以确认llm在临床实践中的有用性。

{"title":"Randomized controlled trials evaluating large language models in digestive diseases: a scoping review","authors":"Peng Wu , Fuxiao Li , Yuanxi Jia , Jiaqian Yin , Yubing Shen , Yanxiao Gao , Ying Li , Feng Sha , Zhirong Yang , Jinling Tang","doi":"10.1016/j.gande.2025.09.003","DOIUrl":"10.1016/j.gande.2025.09.003","url":null,"abstract":"<div><div>This scoping review summarizes the current landscape of randomized controlled trials (RCTs) evaluating the use of large language models (LLMs) in digestive diseases. We conducted a systematic search of PubMed, Web of Science, Scopus, and CENTRAL for published RCTs, and of ClinicalTrials.gov and the International Clinical Trials Registry Platform (ICTRP) for ongoing trials. We included RCTs on digestive diseases in which LLMs were the primary intervention. A total of four published and ten ongoing RCTs were identified. Most trials were conducted in China and the United States, primarily as single-country, single-center studies. Gastrointestinal diseases were the main focus, followed by hepatobiliary conditions. The assessed LLM applications predominantly supported clinical decision-making and patient education, with question answering emerging as the most common natural language processing task. Notably, the trials were relatively balanced in their use of general-purpose versus domain-specific LLMs, reflecting diverse strategies in model deployment. The most common study design involved comparisons between LLM-assisted and unassisted approaches, with primary outcomes centered on various aspects of care management. The main limitation of this review is the relatively small number of available studies. Despite this, the identified trials highlight the promising potential of LLM applications in digestive diseases. Further international, multicenter, well-reported RCTs with a focus on real patient outcomes are urgently needed to confirm the usefulness of LLMs in clinical practice.</div></div>","PeriodicalId":100571,"journal":{"name":"Gastroenterology & Endoscopy","volume":"3 4","pages":"Pages 232-240"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145332465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prevalence and association of small intestinal bacterial overgrowth with functional gastrointestinal disorders in children: A systematic review and meta-analysis 儿童小肠细菌过度生长与功能性胃肠疾病的患病率及其相关性：一项系统综述和荟萃分析

Gastroenterology & Endoscopy

Pub Date : 2025-09-26 DOI: 10.1016/j.gande.2025.09.001

Hamidreza Zivarifar , Fatemeh Sadat Hashemi Javaheri , Nawfal R. Hussein , Masoud Keikha

Background

Small intestinal bacterial overgrowth (SIBO) has been implicated in the pathophysiology of functional gastrointestinal disorders (FGIDs), yet its prevalence and clinical relevance in children remain unclear. This systematic review and meta-analysis aimed to estimate the pooled prevalence of SIBO in pediatric FGIDs and assess its association with specific FGID subtypes.

Methods

A comprehensive search of PubMed, Embase, Scopus, Web of Science, and Cochrane Library was conducted from inception to May 2025 for observational studies involving children (≤18 years) with FGIDs evaluated for SIBO using standardized diagnostic methods. Pooled prevalence and odds ratios (ORs) with 95 % confidence intervals (CIs) were calculated using random-effects models. Subgroup analyses were performed by FGID subtype, diagnostic modality (glucose vs. lactulose breath test), and dominant gas type (hydrogen vs. methane). Risk of bias was assessed using JBI tools; publication bias was evaluated using Begg's and Egger's tests.

Results

Fourteen studies comprising 2459 children were included. The pooled prevalence of SIBO among children with FGIDs was 33.2 % (95 % CI: 26.8 %–40.3 %; I² = 76.5 %). Compared to controls, children with FGIDs had a significantly higher likelihood of SIBO (OR = 4.06, 95 % CI: 2.51–6.56). The highest prevalence was observed in irritable bowel syndrome (38.5 %) and functional constipation (28.7 %). Methane-dominant SIBO was notably associated with constipation-predominant FGIDs. No significant publication bias was identified.

Conclusions

SIBO is common in pediatric FGIDs, particularly in IBS and constipation subtypes, supporting its consideration in diagnostic and therapeutic strategies for affected children.

背景：小肠细菌过度生长（SIBO）与功能性胃肠疾病（fgid）的病理生理有关，但其在儿童中的患病率和临床相关性尚不清楚。本系统综述和荟萃分析旨在估计儿童FGID中SIBO的总患病率，并评估其与特定FGID亚型的关系。方法综合检索PubMed、Embase、Scopus、Web of Science和Cochrane Library，从成立到2025年5月，使用标准化诊断方法评估SIBO的fgid儿童（≤18岁）的观察性研究。采用随机效应模型计算95%置信区间（ci）的合并患病率和优势比（ORs）。根据FGID亚型、诊断方式（葡萄糖与乳果糖呼气试验）和主要气体类型（氢气与甲烷）进行亚组分析。使用JBI工具评估偏倚风险；采用Begg’s和Egger’s检验评估发表偏倚。结果纳入14项研究，2459名儿童。FGIDs患儿SIBO的总患病率为33.2% （95% CI: 26.8% - 40.3%; I2 = 76.5%）。与对照组相比，患有FGIDs的儿童发生SIBO的可能性明显更高（OR = 4.06, 95% CI: 2.51-6.56）。肠易激综合征患病率最高（38.5%），功能性便秘患病率最高（28.7%）。以甲烷为主的SIBO与以便秘为主的fgid显著相关。未发现显著的发表偏倚。结论sibo在儿童fgid中很常见，特别是在IBS和便秘亚型中，支持其在受影响儿童的诊断和治疗策略中的考虑。

{"title":"Prevalence and association of small intestinal bacterial overgrowth with functional gastrointestinal disorders in children: A systematic review and meta-analysis","authors":"Hamidreza Zivarifar , Fatemeh Sadat Hashemi Javaheri , Nawfal R. Hussein , Masoud Keikha","doi":"10.1016/j.gande.2025.09.001","DOIUrl":"10.1016/j.gande.2025.09.001","url":null,"abstract":"<div><h3>Background</h3><div>Small intestinal bacterial overgrowth (SIBO) has been implicated in the pathophysiology of functional gastrointestinal disorders (FGIDs), yet its prevalence and clinical relevance in children remain unclear. This systematic review and meta-analysis aimed to estimate the pooled prevalence of SIBO in pediatric FGIDs and assess its association with specific FGID subtypes.</div></div><div><h3>Methods</h3><div>A comprehensive search of PubMed, Embase, Scopus, Web of Science, and Cochrane Library was conducted from inception to May 2025 for observational studies involving children (≤18 years) with FGIDs evaluated for SIBO using standardized diagnostic methods. Pooled prevalence and odds ratios (ORs) with 95 % confidence intervals (CIs) were calculated using random-effects models. Subgroup analyses were performed by FGID subtype, diagnostic modality (glucose vs. lactulose breath test), and dominant gas type (hydrogen vs. methane). Risk of bias was assessed using JBI tools; publication bias was evaluated using Begg's and Egger's tests.</div></div><div><h3>Results</h3><div>Fourteen studies comprising 2459 children were included. The pooled prevalence of SIBO among children with FGIDs was 33.2 % (95 % CI: 26.8 %–40.3 %; I<sup>2</sup> = 76.5 %). Compared to controls, children with FGIDs had a significantly higher likelihood of SIBO (OR = 4.06, 95 % CI: 2.51–6.56). The highest prevalence was observed in irritable bowel syndrome (38.5 %) and functional constipation (28.7 %). Methane-dominant SIBO was notably associated with constipation-predominant FGIDs. No significant publication bias was identified.</div></div><div><h3>Conclusions</h3><div>SIBO is common in pediatric FGIDs, particularly in IBS and constipation subtypes, supporting its consideration in diagnostic and therapeutic strategies for affected children.</div></div>","PeriodicalId":100571,"journal":{"name":"Gastroenterology & Endoscopy","volume":"4 1","pages":"Pages 20-25"},"PeriodicalIF":0.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced liver cancer detection: Leveraging pre-processing techniques for 3D CT volumes 增强肝癌检测：利用3D CT体积预处理技术

Gastroenterology & Endoscopy

Pub Date : 2025-08-23 DOI: 10.1016/j.gande.2025.08.003

Dhanyashree , Veena Devi Shastrimath V , N.S. Vipin Naik

Accurate extraction and segmentation of the liver from medical images remain challenging due to the organ's irregular shape, similar intensity values to adjacent structures, variable contrast levels, and inherent noise in CT images. Addressing these issues is crucial for effective liver analysis and early cancer detection. This study investigates the impact of various pre-processing techniques—including windowing, normalization, histogram equalization, median filtering, and block filtering—applied to 3D CT volumes from the publicly available Liver Tumor Segmentation Benchmark (LiTS) dataset. These pre-processing methods aim to enhance image quality and facilitate more accurate liver segmentation using deep learning models. The results demonstrate that the optimized pre-processing pipeline significantly improves segmentation performance, achieving a Dice similarity coefficient of 77.15 % and an overall accuracy of 93 %. Moreover, the application of these techniques contributed to increasing the mean positive predictive value (PPV) to 0.94, indicating more reliable identification of liver structures. Future work will focus on implementing the UNET architecture for precise segmentation, with the goal of achieving higher accuracy and aiding early diagnosis of liver cancer. The findings underscore the importance of pre-processing in overcoming imaging challenges and improving deep learning-based detection systems, ultimately contributing to timely intervention and better patient outcomes.

由于肝脏形状不规则、强度值与相邻结构相似、对比度水平变化以及CT图像中固有的噪声，从医学图像中准确提取和分割肝脏仍然具有挑战性。解决这些问题对于有效的肝脏分析和早期癌症检测至关重要。本研究探讨了各种预处理技术（包括开窗、归一化、直方图均衡化、中值滤波和块滤波）对来自公开可用的肝肿瘤分割基准（LiTS）数据集的3D CT体积的影响。这些预处理方法旨在提高图像质量，并使用深度学习模型进行更准确的肝脏分割。结果表明，优化后的预处理流水线显著提高了分割性能，实现了77.15%的Dice相似系数和93%的总体准确率。此外，这些技术的应用有助于将平均阳性预测值（PPV）提高到0.94，表明更可靠地识别肝脏结构。未来的工作将集中于实现精确分割的UNET架构，目标是实现更高的准确性并帮助肝癌的早期诊断。研究结果强调了预处理在克服成像挑战和改进基于深度学习的检测系统方面的重要性，最终有助于及时干预和改善患者预后。

{"title":"Enhanced liver cancer detection: Leveraging pre-processing techniques for 3D CT volumes","authors":"Dhanyashree , Veena Devi Shastrimath V , N.S. Vipin Naik","doi":"10.1016/j.gande.2025.08.003","DOIUrl":"10.1016/j.gande.2025.08.003","url":null,"abstract":"<div><div>Accurate extraction and segmentation of the liver from medical images remain challenging due to the organ's irregular shape, similar intensity values to adjacent structures, variable contrast levels, and inherent noise in CT images. Addressing these issues is crucial for effective liver analysis and early cancer detection. This study investigates the impact of various pre-processing techniques—including windowing, normalization, histogram equalization, median filtering, and block filtering—applied to 3D CT volumes from the publicly available Liver Tumor Segmentation Benchmark (LiTS) dataset. These pre-processing methods aim to enhance image quality and facilitate more accurate liver segmentation using deep learning models. The results demonstrate that the optimized pre-processing pipeline significantly improves segmentation performance, achieving a Dice similarity coefficient of 77.15 % and an overall accuracy of 93 %. Moreover, the application of these techniques contributed to increasing the mean positive predictive value (PPV) to 0.94, indicating more reliable identification of liver structures. Future work will focus on implementing the UNET architecture for precise segmentation, with the goal of achieving higher accuracy and aiding early diagnosis of liver cancer. The findings underscore the importance of pre-processing in overcoming imaging challenges and improving deep learning-based detection systems, ultimately contributing to timely intervention and better patient outcomes.</div></div>","PeriodicalId":100571,"journal":{"name":"Gastroenterology & Endoscopy","volume":"4 1","pages":"Pages 26-37"},"PeriodicalIF":0.0,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The possibility of artificial intelligence in the management of H. pylori infection 人工智能在幽门螺杆菌感染管理中的可能性

Gastroenterology & Endoscopy

Pub Date : 2025-08-21 DOI: 10.1016/j.gande.2025.08.002

Zivarifar Hamidreza, Khosravi Manizhe, Keikha Masoud

引用次数: 0

Mutational analysis of exon 14 and 15 of the APC gene in esophageal squamous cell carcinoma in Mthatha-South Africa: A cross-sectional study 南非mththa地区食管鳞状细胞癌APC基因外显子14和15的突变分析：一项横断面研究

Gastroenterology & Endoscopy

Pub Date : 2025-08-21 DOI: 10.1016/j.gande.2025.08.001

Thandazile Nontamo, Gabriel Tchuente Kamsu, Eugene Jamot Ndebia

Esophageal cancer is a major public health challenge in the Eastern Cape region of South Africa. Although changes in the APC gene are frequently implicated in various forms of cancer, few studies have examined its mutations in esophageal cancer, particularly in this highly endemic region. This study aimed to analyze mutations in exons 14 and 15 of the APC gene in esophageal cancer patients at the Nelson Mandela Hospital in Mthatha. To achieve this, biopsy samples of cancerous and normal tissues were collected from ESCC patients, then DNA was extracted and amplified by PCR targeting exons 14 and 15 of the APC gene before being sequenced using the Sanger method. Sequencing data were processed from both AB1 and FASTA formats, aligned to the hg19 reference genome, and variants were identified via comparison with the transcripts NM_001354905.2 (exon 14) and NM_001354906.2 (exon 15) using custom alignment and variant-calling scripts. All variants were annotated using HGVS nomenclature and cross-referenced against publicly available databases, including ClinVar, dbSNP, and Ensembl VEP. The results showed a total of 37 mutation events, with 83.8% detected in tumour tissues and 16.2% in histologically normal tissues. Tumour samples from exon 15 exhibited the highest mutation frequency (88.5%). In contrast, there were fewer mutations in normal tissues, and they were mostly novel. In sum, this study highlights the key role of mutations in the APC gene, particularly its exon 15, in the etiology of esophageal cancer. These findings emphasize the predominance of APC disruption in tumor tissues but also support the need to further explore mutational processes in adjacent normal tissue, particularly for early detection strategies.

食管癌是南非东开普省的一项重大公共卫生挑战。尽管APC基因的变化经常与各种形式的癌症有关，但很少有研究调查其在食管癌中的突变，特别是在这一高度流行的地区。本研究旨在分析Mthatha Nelson Mandela医院食管癌患者APC基因外显子14和15的突变。为此，我们收集ESCC患者的癌组织和正常组织的活检样本，提取DNA并针对APC基因的14和15外显子进行PCR扩增，然后使用Sanger法进行测序。测序数据从AB1和FASTA格式处理，与hg19参考基因组比对，并通过自定义比对和变异调用脚本与转录本NM_001354905.2（外显子14）和NM_001354906.2（外显子15）进行比较，鉴定出变异。所有变体都使用HGVS命名法进行注释，并与公开可用的数据库交叉引用，包括ClinVar、dbSNP和Ensembl VEP。结果显示，共有37个突变事件，在肿瘤组织中检测到83.8%，在组织学正常组织中检测到16.2%。外显子15的肿瘤样本突变频率最高（88.5%）。相比之下，正常组织中的突变较少，而且大多是新的。总之，本研究强调了APC基因突变，特别是其外显子15在食管癌病因学中的关键作用。这些发现强调了肿瘤组织中APC破坏的优势，但也支持进一步探索邻近正常组织中突变过程的必要性，特别是早期发现策略。

{"title":"Mutational analysis of exon 14 and 15 of the APC gene in esophageal squamous cell carcinoma in Mthatha-South Africa: A cross-sectional study","authors":"Thandazile Nontamo, Gabriel Tchuente Kamsu, Eugene Jamot Ndebia","doi":"10.1016/j.gande.2025.08.001","DOIUrl":"10.1016/j.gande.2025.08.001","url":null,"abstract":"<div><div>Esophageal cancer is a major public health challenge in the Eastern Cape region of South Africa. Although changes in the APC gene are frequently implicated in various forms of cancer, few studies have examined its mutations in esophageal cancer, particularly in this highly endemic region. This study aimed to analyze mutations in exons 14 and 15 of the APC gene in esophageal cancer patients at the Nelson Mandela Hospital in Mthatha. To achieve this, biopsy samples of cancerous and normal tissues were collected from ESCC patients, then DNA was extracted and amplified by PCR targeting exons 14 and 15 of the APC gene before being sequenced using the Sanger method. Sequencing data were processed from both AB1 and FASTA formats, aligned to the hg19 reference genome, and variants were identified via comparison with the transcripts NM_001354905.2 (exon 14) and NM_001354906.2 (exon 15) using custom alignment and variant-calling scripts. All variants were annotated using HGVS nomenclature and cross-referenced against publicly available databases, including ClinVar, dbSNP, and Ensembl VEP. The results showed a total of 37 mutation events, with 83.8% detected in tumour tissues and 16.2% in histologically normal tissues. Tumour samples from exon 15 exhibited the highest mutation frequency (88.5%). In contrast, there were fewer mutations in normal tissues, and they were mostly novel. In sum, this study highlights the key role of mutations in the APC gene, particularly its exon 15, in the etiology of esophageal cancer. These findings emphasize the predominance of APC disruption in tumor tissues but also support the need to further explore mutational processes in adjacent normal tissue, particularly for early detection strategies.</div></div>","PeriodicalId":100571,"journal":{"name":"Gastroenterology & Endoscopy","volume":"4 1","pages":"Pages 7-12"},"PeriodicalIF":0.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the effects of reflexology on gastrointestinal symptoms in Type-2 diabetic patients: A quasi-experimental study 探讨反射疗法对2型糖尿病患者胃肠道症状的影响：一项准实验研究

Gastroenterology & Endoscopy

Pub Date : 2025-07-18 DOI: 10.1016/j.gande.2025.07.001

Mohammad Rostamkhani , Fatemeh Sadat Hoseini , Azam Malek Hoseini , Masoud Etedali , Zahra Mahdavi , Reza Beiranvand , Hooman Mohammad Talebi

Introduction

Type 2 diabetes is a growing global health concern, often leading to gastrointestinal complications that impact quality of life. Reflexology, a non-invasive therapy, may help alleviate these symptoms, but its effects remain unexplored in diabetic patients. This study aims to assess its potential as a complementary treatment.

Research design and methods

This quasi-experimental pre-test/post-test control group study included 64 patients with type 2 diabetes and gastrointestinal symptoms recruited from Imam Reza Clinic of Arak University of Medical Sciences, Arak, Iran. Participants were allocated into intervention and control groups (n = 32 each). The intervention group received eight reflexology sessions over four weeks. Gastrointestinal symptoms were assessed using the Gastrointestinal Symptom Rating Scale (GSRS) at baseline and post-intervention. Data collection occurred between May and August 2024. Statistical analysis was performed using paired and independent t-tests with significance set at p < 0.05.

Results

The study found that reflexology significantly improved total gastrointestinal symptoms (p = 0.015), reflux (p = 0.030), and indigestion (p = 0.021) in Type 2 diabetes patients. Both groups showed symptom reduction post-intervention (p < 0.001), but between-group differences were not statistically significant. Reflexology had no significant effect on abdominal pain, diarrhea, or constipation, suggesting its benefits may be symptom-specific.

Conclusion

Reflexology may reduce reflux and indigestion symptoms in type 2 diabetes patients. Adjusted analysis revealed significant effects, suggesting targeted benefits and highlighting the need for further controlled studies.

2型糖尿病是一个日益严重的全球健康问题，常导致影响生活质量的胃肠道并发症。反射疗法是一种非侵入性疗法，可能有助于缓解这些症状，但其对糖尿病患者的影响尚不清楚。本研究旨在评估其作为补充治疗的潜力。研究设计与方法本准实验前测试/后测试对照组研究从伊朗阿拉克医学大学伊玛目礼萨诊所招募64例有胃肠道症状的2型糖尿病患者。参与者被分为干预组和对照组（n = 32）。干预组在四周内接受八次反射疗法。在基线和干预后使用胃肠道症状评定量表（GSRS）评估胃肠道症状。数据收集时间为2024年5月至8月。采用配对和独立t检验进行统计学分析，显著性设置为p <； 0.05。结果研究发现，反射疗法可显著改善2型糖尿病患者的总胃肠道症状（p = 0.015）、反流（p = 0.030）和消化不良（p = 0.021）。两组患者干预后症状均有所减轻（p < 0.001），但组间差异无统计学意义。反射疗法对腹痛、腹泻或便秘无显著效果，提示其益处可能是症状特异性的。结论反射疗法可减轻2型糖尿病患者的反流和消化不良症状。调整后的分析显示了显著的效果，表明有针对性的益处，并强调需要进一步的对照研究。

{"title":"Exploring the effects of reflexology on gastrointestinal symptoms in Type-2 diabetic patients: A quasi-experimental study","authors":"Mohammad Rostamkhani , Fatemeh Sadat Hoseini , Azam Malek Hoseini , Masoud Etedali , Zahra Mahdavi , Reza Beiranvand , Hooman Mohammad Talebi","doi":"10.1016/j.gande.2025.07.001","DOIUrl":"10.1016/j.gande.2025.07.001","url":null,"abstract":"<div><h3>Introduction</h3><div>Type 2 diabetes is a growing global health concern, often leading to gastrointestinal complications that impact quality of life. Reflexology, a non-invasive therapy, may help alleviate these symptoms, but its effects remain unexplored in diabetic patients. This study aims to assess its potential as a complementary treatment.</div></div><div><h3>Research design and methods</h3><div>This quasi-experimental pre-test/post-test control group study included 64 patients with type 2 diabetes and gastrointestinal symptoms recruited from Imam Reza Clinic of Arak University of Medical Sciences, Arak, Iran. Participants were allocated into intervention and control groups (n = 32 each). The intervention group received eight reflexology sessions over four weeks. Gastrointestinal symptoms were assessed using the Gastrointestinal Symptom Rating Scale (GSRS) at baseline and post-intervention. Data collection occurred between May and August 2024. Statistical analysis was performed using paired and independent t-tests with significance set at p < 0.05.</div></div><div><h3>Results</h3><div>The study found that reflexology significantly improved total gastrointestinal symptoms (p = 0.015), reflux (p = 0.030), and indigestion (p = 0.021) in Type 2 diabetes patients. Both groups showed symptom reduction post-intervention (p < 0.001), but between-group differences were not statistically significant. Reflexology had no significant effect on abdominal pain, diarrhea, or constipation, suggesting its benefits may be symptom-specific.</div></div><div><h3>Conclusion</h3><div>Reflexology may reduce reflux and indigestion symptoms in type 2 diabetes patients. Adjusted analysis revealed significant effects, suggesting targeted benefits and highlighting the need for further controlled studies.</div></div>","PeriodicalId":100571,"journal":{"name":"Gastroenterology & Endoscopy","volume":"4 1","pages":"Pages 1-6"},"PeriodicalIF":0.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145685779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Errata regarding missing abstracts in previously published articles 关于先前发表的文章中缺少摘要的勘误表

Gastroenterology & Endoscopy

Pub Date : 2025-06-07 DOI: 10.1016/j.gande.2025.05.008

引用次数: 0

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Gastroenterology & Endoscopy

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀