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Impact of long-term trends on outcomes in the management of colonic diverticular bleeding: mediation analyses in a large multicenter study.
J Gastroenterol
December 2024
Department of Gastroenterological Endoscopy, Tokyo Medical University, Shinjuku-ku, Tokyo, Japan.
Background: Despite accumulating evidence and recommendations for management of colonic diverticular bleeding (CDB), the changes in its clinical management and outcomes remain unknown.
Methods: We performed a retrospective tendency analysis on a biennial basis, a propensity score-matched cohort study between the first and latter half groups, and mediation analyses to compare the diagnostic and treatment methods between January 2010 and December 2019 (CODE BLUE-J Study).
Results: A total of 6575 patients with CDB were included.
ColonNeXt: Fully Convolutional Attention for Polyp Segmentation.
J Imaging Inform Med
December 2024
Hong Duc University, 565 Quang Trung, Dong Ve Ward, Thanh Hoa, 40000, Thanh Hoa, Viet Nam.
This study introduces ColonNeXt, a novel fully convolutional attention-based model for polyp segmentation from colonoscopy images, aimed at the enhancing early detection of colorectal cancer. Utilizing a purely convolutional neural network (CNN), ColonNeXt integrates an encoder-decoder structure with a hierarchical multi-scale context-aware network (MSCAN) in the encoder and a convolutional block attention module (CBAM) in the decoder. The decoder further includes a proposed CNN-based feature attention mechanism for selective feature enhancement, ensuring precise segmentation.
View Article and Find Full Text PDFTSdetector: Temporal-Spatial self-correction collaborative learning for colonoscopy video detection.
Med Image Anal
February 2025
Department of Computer and Data Science and Department of Biomedical Engineering, Case Western Reserve University, USA.
CNN-based object detection models that strike a balance between performance and speed have been gradually used in polyp detection tasks. Nevertheless, accurately locating polyps within complex colonoscopy video scenes remains challenging since existing methods ignore two key issues: intra-sequence distribution heterogeneity and precision-confidence discrepancy. To address these challenges, we propose a novel Temporal-Spatial self-correction detector (TSdetector), which first integrates temporal-level consistency learning and spatial-level reliability learning to detect objects continuously.
View Article and Find Full Text PDFResurgent Inflation and Its Impact on Medicare Reimbursements for Outpatient Gastroenterology Procedures.
Am J Gastroenterol
October 2024
Division of Gastroenterology, University of Toledo College of Medicine, Toledo, Ohio, USA.
Introduction: Rising healthcare costs have led to decreasing reimbursements for various procedures and providers. We chose to analyze Medicare reimbursement trends for 26 esophagogastroduodenoscopy (EGD) and 31 colonoscopy current procedural terminology (CPT) codes from 2018 to 2023 for hospital outpatient centers, ambulatory surgical centers (ASC), and gastroenterologists. We also wanted to look at the effects of inflation on these Medicare reimbursements.
View Article and Find Full Text PDFBowel preparation experiences and needs before follow-up colonoscopy in older adult postoperative colorectal cancer patients: A qualitative study.
World J Gastrointest Surg
September 2024
Department of Endoscopy, The Tongren Hospital Shanghai Jiao Tong University School of Medicine, Shanghai 200335, China.
Background: The bowel preparation process prior to colonoscopy determines the quality of the bowel preparation, which in turn affects the quality of the colonoscopy. Colonoscopy is an essential procedure for postoperative follow-up monitoring of colorectal cancer (CRC) patients. Previous studies have shown that advanced age and a history of colorectal resection are both risk factors for inadequate bowel preparation.
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