Aim: To introduce and evaluate the efficacy and technical aspects of endoscopic submucosal dissection (ESD) using a novel device, the Fork knife.
Methods: From March 2004 to April 2008, ESD was performed on 265 gastric lesions using a Fork knife (Endo FS) (group A) and on 72 gastric lesions using a Flexknife (group B) at a single tertiary referral center. We retrospectively compared the endoscopic characteristics of the tumors, pathological findings, and sizes of the resected specimens. We also compared the en bloc resection rate, complete resection rate, complications, and procedure time between the two groups.
Results: The mean size of the resected specimens was 4.27 +/- 1.26 cm in group A and 4.29 +/- 1.48 cm in group B. The en bloc resection rate was 95.8% (254/265 lesions) in group A and 93.1% (67/72) in group B. Complete ESD without tumor cell invasion of the resected margin was obtained in 81.1% (215/265) of group A and in 73.6% (53/72) of group B. The perforation rate was 0.8% (2/265) in group A and 1.4% (1/72) in group B. The mean procedure time was 59.63 +/- 56.12 min in group A and 76.65 +/- 70.75 min in group B (P < 0.05).
Conclusion: The Fork knife (Endo FS) is useful for clinical practice and has the advantage of reducing the procedure time.
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http://dx.doi.org/10.3748/wjg.14.6726 | DOI Listing |
Mem Cognit
November 2024
Medical Faculty Mannheim/Heidelberg University, Central Institute of Mental Health, Mannheim, Germany.
Individual differences in working memory capacity (WMC) are correlated with long-term memory (LTM) differences. Whether this is because high-WMC individuals encode more effectively, resulting in better LTM storage, or because they better retrieve information from LTM is debated. In two experiments, we used Bayesian-hierarchical multinomial modeling to correlate participant-level storage and retrieval processes from LTM recall to WMC abilities estimated from operation and symmetry complex span tasks.
View Article and Find Full Text PDFSci Rep
January 2024
Department of Mechanical Engineering, Virginia Tech, Goodwin Hall, 635 Prices Fork Road, Blacksburg, VA, 24061, USA.
Labor shortages in the United States are impacting a number of industries including the meat processing sector. Collaborative technologies that work alongside humans while increasing production abilities may support the industry by enhancing automation and improving job quality. However, existing automation technologies used in the meat industry have limited collaboration potential, low flexibility, and high cost.
View Article and Find Full Text PDFBMJ
December 2023
Department of Diagnostic Imaging, National University Hospital, Singapore 119074, Singapore.
Objective: To investigate the behaviour of common healthcare related objects in a 3 tesla (T) MRI (magnetic resonance imaging) scanner, examining their ability to self-propel towards the scanner bore and their potential for tissue penetration.
Design: Prospective in situ experimental study.
Setting: Clinical 3 T MRI scanner.
Annu Int Conf IEEE Eng Med Biol Soc
July 2023
Recent object detection models show promising advances in their architecture and performance, expanding potential applications for the benefit of persons with blindness or low vision (pBLV). However, object detection models are usually trained on generic data rather than datasets that focus on the needs of pBLV. Hence, for applications that locate objects of interest to pBLV, object detection models need to be trained specifically for this purpose.
View Article and Find Full Text PDFUnhealthy dietary habits are considered as the primary cause of various chronic diseases, including obesity and diabetes. The automatic food intake monitoring system has the potential to improve the quality of life (QoL) of people with diet-related diseases through dietary assessment. In this work, we propose a novel contactless radar-based approach for food intake monitoring.
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