Angiodysplasia is being recognized as a major causal factor of colonic haemorrhage in the elderly. Superior mesenteric arteriography in an 86-year-old lady with recurrent haemorrhage revealed the lesion. Confirmation of the diagnosis was made possible by the injection of contrast material into the blood vessels of the removed intestine and subsequent histological examination.
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http://dx.doi.org/10.1002/bjs.1800660506 | DOI Listing |
World J Gastroenterol
January 2025
Department of Gastroenterology, Air Force Medical Center, Beijing 100142, China.
Background: Gastrointestinal (GI) vascular bleeding disorders pose significant clinical challenges due to their complex pathogenesis and varied treatment responses. Despite advancements in diagnostic and therapeutic techniques, optimal management strategies remain elusive, necessitating further research.
Aim: To assess research trends and clinical advancements in GI vascular bleeding disorders, highlighting key themes and therapeutic progress.
Cureus
December 2024
General Surgery, King Saud Medical City, Riyadh, SAU.
Angiodysplasia is one of the causes of recurrent episodes of lower gastrointestinal (GI) bleeding. Angiodysplasia could be associated with few lesions or multiple diffuse lesions, causing diversity in the clinical presentation of such patients. We report a case of a 19-year-old male presenting with life-threatening gastrointestinal bleeding due to diffuse angiodysplasia of the bowel extending from the jejunum to the sigmoid colon and requiring multiple investigations and management.
View Article and Find Full Text PDFMedicine (Baltimore)
October 2024
Department of Gastroenterology, The First Hospital of Jilin University, Changchun, China.
Med Image Anal
January 2025
Department of Electrical Engineering, Video Coding & Architectures, Eindhoven University of Technology, Eindhoven, The Netherlands.
Gastrointestinal endoscopic image analysis presents significant challenges, such as considerable variations in quality due to the challenging in-body imaging environment, the often-subtle nature of abnormalities with low interobserver agreement, and the need for real-time processing. These challenges pose strong requirements on the performance, generalization, robustness and complexity of deep learning-based techniques in such safety-critical applications. While Convolutional Neural Networks (CNNs) have been the go-to architecture for endoscopic image analysis, recent successes of the Transformer architecture in computer vision raise the possibility to update this conclusion.
View Article and Find Full Text PDFDig Liver Dis
January 2025
The Gonczarowski Family Institute of Gastroenterology and Liver Diseases, Shamir (Assaf Harofeh) Medical Center, School of Medicine Faculty of Medical and Health Sciences, Tel Aviv University, Zerifin, Israel.
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