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Esophageal stent fracture:case report and review of the literature

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World Journal of Gastroenterology 2014年第10期20卷 2715-2720页

作者： Harshit S Khara David L Diehl seth a gross Department of Gastroenterology and Nutrition Geisinger Medical Center Danville PA 17822 United States Division of Gastroenterology NYU School of Medicine NYU Langone Medical Center New York NY 10028United States

Endoscopic esophageal stent placement is widely used in the treatment of a variety of benign and malignant esophageal *** expanding metal stents(SEMS)are associated with significantly reduced stent related mortality and morbidity compared to plastic stents for treatment of esophageal conditions;however they have known complications of stent migration,stent occlusion,tumor ingrowth,stricture formation,reflux,bleeding and perforation amongst others.A rare and infrequently reported complication of SEMS is stent fracture and subsequent migration of the broken *** have only been a handful of published case reports describing this *** this report we describe a case of a spontaneously fractured nitinol esophageal SEMS,and review the available literature on the unusual occurrence of SEMS fracture placed for benign or malignant obstruction in the *** fracture could be a potentially dangerous event and should be considered in a patient having recurrent dysphagia despite successful placement of an esopha-geal *** usually requires endoscopic therapy and may unfortunately require surgery for retrieval of a distally migrated *** recognition and prompt management may be able to prevent further problems.

关键词： Esophagus Self-expanding metal stent Stent complic

Artificial intelligence in gastroenterology:A narrative review

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Artificial Intelligence in Gastroenterology 2022年第5期3卷 117-141页

作者： Jonathan S Galati Robert J Duve Matthew O'Mara seth a gross Department of Medicine NYU Langone HealthNew YorkNY 10016United States Department of Internal Medicine Jacobs School of Medicine and Biomedical SciencesUniversity at BuffaloBuffaloNY 14203United States Division of Gastroenterology NYU Langone HealthNew YorkNY 10016United States

Artificial intelligence(AI)is a complex concept,broadly defined in medicine as the development of computer systems to perform tasks that require human *** has the capacity to revolutionize medicine by increasing efficiency,expediting data and image analysis and identifying patterns,trends and associations in large *** gastroenterology,recent research efforts have focused on using AI in esophagogastroduodenoscopy,wireless capsule endoscopy(WCE)and colonoscopy to assist in diagnosis,disease monitoring,lesion detection and therapeutic *** main objective of this narrative review is to provide a comprehensive overview of the research being performed within gastroenterology on AI in esophagogastroduodenoscopy,WCE and colonoscopy.

关键词： Artificial intelligence Colonoscopy Computer-aided detection Deep learning Endoscopy Machine learning

Practice patterns in FNA technique: A survey analysis

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World Journal of Gastrointestinal Endoscopy 2014年第10期6卷 499-505页

作者： Christopher J DiMaio Jonathan M Buscaglia seth a gross Harry R Aslanian Adam J Goodman Sammy Ho Michelle K Kim Shireen Pais Felice Schnoll-Sussman Amrita sethi Uzma D Siddiqui David H Robbins Douglas G Adler Satish Nagula Division of Gastroenterology Icahn School of Medicine at Mount Sinai Mount Sinai Medical CenterNew York NY 10029 United States Division of Gastroenterology and Hepatology Stony Brook University School of MedicineStony BrookNew YorkNY 11794 United States Division of Gastroenterology NYU School of Medicine New York NY 10016 United States Section of Digestive Diseases Yale School of Medicine New Haven Connecticut CT 06510 United States Division of Digestive and Liver Diseases Montefiore Medical Center Bronx New York NY 10467 United States Division of Gastroenterology and Hepatobiliary Diseases New York Medical College Valhalla New York NY 10595 United States Division of Gastroenterology and Hepatology Weill Cornell Medical College New York NY 10065 United States Division of Digestive and Liver Diseases Columbia University Medical Center New York NY 10032 United States Section of Gastroenterology Hepatology and Nutrition University of Chicago Medicine Chicago Illinois IL 60637 United States Division of Gastroenterology Lenox Hill Hospital New York NY 10075 United States Division of Gastroenterology and Hepatology University of Utah School of Medicine Salt Lake City Utah UT 84132 United States

AIM: To ascertain fine needle aspiration(FNA) tech-niques by endosonographers with varying levels of ex-perience and ***: A survey study was performed on United States based endosonographers. The subjects complet-ed an anonymous online electronic survey. The main outcome measurements were differences in needle choice, FNA technique, and clinical decision making among endosonographers and how this relates to years in practice, volume of EUS-FNA procedures, and prac-tice ***: A total of 210(30.8%) endosonographers completed the survey. Just over half(51.4%) identified themselves as academic/university-based practitioners. The vast majority of respondents(77.1%) identified themselves as high-volume endoscopic ultrasound(EUS)(> 150 EUS/year) and high-volume FNA(> 75 FNA/year) performers(73.3). If final cytology is non-diagnostic, high-volume EUS physicians were more likely than low volume physicians to repeat FNA with a core needle(60.5% vs 31.2%; P = 0.0004), and low volume physicians were more likely to refer patients for either surgical or percutaneous biopsy,(33.4% vs 4.9%, P < 0.0001). Academic physicians were more likely to repeat FNA with a core needle(66.7%) compared to community physicians(40.2%, P < 0.001). CONCLUSION: There is significant variation in EUS-FNA practices among United States endosonographers. Differences appear to be related to EUS volume and practice environment.

关键词： Endoscopic ultrasound Diagnostic procedures and techniques Fine needle biopsy Fine needle aspiration

Technical Note: Identification of CT Texture Features Robust to Tumor Size Variations for Normal Lung Texture Analysis

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International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 2018年第3期7卷 330-338页

作者： Wookjin Choi Sadegh Riyahi seth J. Kligerman Chia-Ju Liu James G. Mechalakos Wei Lu Department of Medical Physics Memorial Sloan Kettering Cancer Center New York USA Department of Radiology University of California at San Diego San Diego USA Department of Radiology Memorial Sloan Kettering Cancer Center New York USA

Normal lung CT texture features have been used for the prediction of radiation-induced lung disease (RILD). For these features to be clinically useful, they should be robust to tumor size variations and not correlated with the normal lung volume of interest, i.e., the volume of the peri-tumoral region (PTR). CT images of 14 lung cancer patients were studied. Different sizes of gross tumor volumes (GTVs) were simulated and placed in the lung contralateral to the tumor. 27 texture features [nine from intensity histogram, eight from the gray-level co-occurrence matrix (GLCM) and ten from the gray-level run-length matrix (GLRM)] were extracted from the PTR. The Bland-Altman analysis was applied to measure the normalized range of agreement (nRoA) for each feature when GTV size varied. A feature was considered as robust when its nRoA was less than the threshold (100%). Sixteen texture features were identified as robust. None of the robust features was correlated with the volume of the PTR. No feature showed statistically significant differences (P 0.05) on GTV locations. We identified 16 robust normal lung CT texture features that can be further examined for the prediction of RILD.

关键词： Radiation-Induced Lung Disease Normal Lung Texture Radiomics CT Stereotactic Body Radiotherapy