Best Practice & Research Clinical Gastroenterology最新文献_第10页

Curative criteria for endoscopic treatment of gastric cancer 胃癌内镜治疗的治愈标准

IF 3.2 3区医学

Best Practice & Research Clinical Gastroenterology Pub Date : 2024-02-01 DOI: 10.1016/j.bpg.2024.101884

João A. Cunha Neves , Pedro G. Delgado-Guillena , Patrícia Queirós , Diogo Libânio , Enrique Rodríguez de Santiago

{"title":"Curative criteria for endoscopic treatment of gastric cancer","authors":"João A. Cunha Neves , Pedro G. Delgado-Guillena , Patrícia Queirós , Diogo Libânio , Enrique Rodríguez de Santiago","doi":"10.1016/j.bpg.2024.101884","DOIUrl":"10.1016/j.bpg.2024.101884","url":null,"abstract":"<div><p><span><span><span>Endoscopic treatment, particularly </span>endoscopic submucosal dissection, has become the primary treatment for early gastric cancer. A comprehensive optical assessment, including </span>white light endoscopy<span>, image-enhanced endoscopy, and magnification, are the cornerstones for clinical staging and determining the resectability of lesions. This paper discusses factors that influence the indication for endoscopic resection and the likelihood of achieving a curative resection. Our review stresses the critical need for interpreting the histopathological report in accordance with clinical guidelines and the imperative of tailoring decisions based on the patients' and lesions’ characteristics and preferences. Moreover, we offer guidance on managing complex scenarios, such as those involving non-curative resection. Finally, we identify future research avenues, including the role of artificial intelligence in estimating the depth of invasion and the urgent need to refine predictive scores for </span></span>lymph node metastasis and metachronous lesions.</p></div>","PeriodicalId":56031,"journal":{"name":"Best Practice & Research Clinical Gastroenterology","volume":"68 ","pages":"Article 101884"},"PeriodicalIF":3.2,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139669623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Endoscopic resection of residual rectal neoplasia after definitive chemoradiotherapy for rectal cancer 直肠癌明确化放疗后的直肠残余肿瘤内窥镜切除术

IF 3.2 3区医学

Best Practice & Research Clinical Gastroenterology Pub Date : 2024-02-01 DOI: 10.1016/j.bpg.2024.101896

Robert Klimkowski , Jakub Krzyzkowiak , Nastazja Dagny Pilonis , Krzysztof Bujko , Michal F. Kaminski

引用次数: 0

Curative criteria for endoscopic treatment of colorectal cancer 结直肠癌内窥镜治疗的治愈标准

IF 3.2 3区医学

Best Practice & Research Clinical Gastroenterology Pub Date : 2024-02-01 DOI: 10.1016/j.bpg.2024.101883

Lucille Quénéhervé , Mathieu Pioche , Jérémie Jacques

引用次数: 0

Multimodal management of foregut neuroendocrine neoplasms 前肠神经内分泌肿瘤的多模式治疗

IF 3.2 3区医学

Best Practice & Research Clinical Gastroenterology Pub Date : 2024-02-01 DOI: 10.1016/j.bpg.2024.101889

Yichan Zhou , James Weiquan Li , Noriya Uedo

引用次数: 0

Curative criteria for endoscopic treatment of oesophageal adenocarcinoma 食管腺癌内窥镜治疗的治愈标准

IF 3.2 3区医学

Best Practice & Research Clinical Gastroenterology Pub Date : 2024-02-01 DOI: 10.1016/j.bpg.2024.101886

Annemijn D.I. Maan , Prateek Sharma , Arjun D. Koch

引用次数: 0

Endoscopic resection for residual oesophageal neoplasia after definitive chemoradiotherapy 内镜下切除最终化疗后残留的食道肿瘤

IF 3.2 3区医学

Best Practice & Research Clinical Gastroenterology Pub Date : 2024-02-01 DOI: 10.1016/j.bpg.2024.101885

Judith Honing, Arjun D. Koch, Peter D. Siersema, Manon Spaander

引用次数: 0

Multimodal cancer treatment with endoscopy 利用内窥镜进行多模式癌症治疗

IF 3.2 3区医学

Best Practice & Research Clinical Gastroenterology Pub Date : 2024-02-01 DOI: 10.1016/j.bpg.2024.101892

Michal F. Kaminski, Nastazja Dagny Pilonis

引用次数: 0

Models and scores to predict adequacy of bowel preparation before colonoscopy 预测结肠镜检查前肠道准备是否充分的模型和分数

IF 3.2 3区医学

Best Practice & Research Clinical Gastroenterology Pub Date : 2023-12-01 DOI: 10.1016/j.bpg.2023.101859

Romane Fostier , Georgios Tziatzios , Antonio Facciorusso , Apostolis Papaefthymiou , Marianna Arvanitakis , Konstantinos Triantafyllou , Paraskevas Gkolfakis

{"title":"Models and scores to predict adequacy of bowel preparation before colonoscopy","authors":"Romane Fostier , Georgios Tziatzios , Antonio Facciorusso , Apostolis Papaefthymiou , Marianna Arvanitakis , Konstantinos Triantafyllou , Paraskevas Gkolfakis","doi":"10.1016/j.bpg.2023.101859","DOIUrl":"10.1016/j.bpg.2023.101859","url":null,"abstract":"<div><p><span><span><span>Adequate bowel preparation is of paramount importance for the effectiveness of preventive </span>colonoscopy as it allows visualization of the </span>mucosal surface and </span>adenomas<span> detection, the pre-malignant lesions leading to colon cancer. Still, a considerable portion of patients fail to achieve adequate bowel cleansing, with predictors of inadequate bowel preparation being at the focal point of several studies, so far. Incorporation of these factors within predictive models has been implemented in an effort to promptly identify patients at risk for inadequate bowel preparation and thus, timely adopt practices that have the potential to improve bowel cleansing. Ultimately, this could lead to improved procedural outcomes not only in terms of neoplastic detection rate but also interval repeat procedures, expenses, patient convenience and adverse events risk. Aim of this manuscript is to present an up to date overview of all predictive scores/models addressing bowel cleansing adequacy in everyday clinical practice.</span></p></div>","PeriodicalId":56031,"journal":{"name":"Best Practice & Research Clinical Gastroenterology","volume":"67 ","pages":"Article 101859"},"PeriodicalIF":3.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79929001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predictive models in EUS/ERCP EUS/ERCP 的预测模型

IF 3.2 3区医学

Best Practice & Research Clinical Gastroenterology Pub Date : 2023-12-01 DOI: 10.1016/j.bpg.2023.101856

Barbara Lattanzi , Daryl Ramai , Paraskevas Gkolfakis , Antonio Facciorusso

{"title":"Predictive models in EUS/ERCP","authors":"Barbara Lattanzi , Daryl Ramai , Paraskevas Gkolfakis , Antonio Facciorusso","doi":"10.1016/j.bpg.2023.101856","DOIUrl":"10.1016/j.bpg.2023.101856","url":null,"abstract":"<div><p>Predictive models (PMs) in endoscopic retrograde cholangiopancreatography (ERCP) and endoscopic ultrasound (EUS) have the potential to improve patient outcomes, enhance diagnostic accuracy, and guide therapeutic interventions. This review aims to summarize the current state of predictive models in ERCP and EUS and their clinical implications. To be considered useful in clinical practice a PM should be accurate, easy to perform, and may consider objective variables. PMs in ERCP estimate correct indication, probability of success, and the risk of developing adverse events. These models incorporate patient-related factors and technical aspects of the procedure. In the field of EUS, these models utilize clinical and imaging data to predict the likelihood of malignancy, presence of specific lesions, or risk of complications related to therapeutic interventions. Further research, validation, and refinement are necessary to maximize the utility and impact of these models in routine clinical practice.</p></div>","PeriodicalId":56031,"journal":{"name":"Best Practice & Research Clinical Gastroenterology","volume":"67 ","pages":"Article 101856"},"PeriodicalIF":3.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1521691823000367/pdfft?md5=cbc3471b10ee516e7622904aa3da3a59&pid=1-s2.0-S1521691823000367-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88082400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prognostic models in end stage liver disease 肝病晚期的预后模型

IF 3.2 3区医学

Best Practice & Research Clinical Gastroenterology Pub Date : 2023-12-01 DOI: 10.1016/j.bpg.2023.101866

A. Ferrarese, M. Bucci, A. Zanetto, M. Senzolo, G. Germani, M. Gambato, F.P. Russo, P. Burra

{"title":"Prognostic models in end stage liver disease","authors":"A. Ferrarese, M. Bucci, A. Zanetto, M. Senzolo, G. Germani, M. Gambato, F.P. Russo, P. Burra","doi":"10.1016/j.bpg.2023.101866","DOIUrl":"10.1016/j.bpg.2023.101866","url":null,"abstract":"<div><p><span>Cirrhosis is a major cause of death worldwide, and is associated with significant health care costs. Even if milestones have been recently reached in understanding and managing end-stage liver disease (ESLD), the disease course remains somewhat difficult to prognosticate. These difficulties have already been acknowledged already in the past, when scores instead of single parameters have been proposed as valuable tools for short-term prognosis. These standard scores, like Child Turcotte Pugh (CTP) and model for end-stage liver disease (MELD) score, relying on biochemical and clinical parameters, are still widely used in clinical practice to predict short- and medium-term prognosis. The MELD score, which remains an accurate, easy-to-use, objective predictive score, has received significant modifications over time, in order to improve its performance especially in the </span>liver transplant (LT) setting, where it is widely used as prioritization tool. Although many attempts to improve prognostic accuracy have failed because of lack of replicability or poor benefit with the comparator (often the MELD score or its variants), few scores have been recently proposed and validated especially for subgroups of patients with ESLD, as those with acute-on-chronic liver failure. Artificial intelligence will probably help hepatologists in the near future to fill the current gaps in predicting disease course and long-term prognosis of such patients.</p></div>","PeriodicalId":56031,"journal":{"name":"Best Practice & Research Clinical Gastroenterology","volume":"67 ","pages":"Article 101866"},"PeriodicalIF":3.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77089742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0