Search

Introduction: A limitation to expanding laparoscopic simulation training programs is the scarcity of expert evaluators. In 2019, a new digital platform for remote and asynchronous laparoscopic simulation training was validated. Through this platform, 369 trainees have been trained in 14 institutions across Latin America, collecting 6729 videos of laparoscopic training exercises. The use of artificial intelligence (AI) has recently emerged in surgical simulation, showing usefulness in training assessment, virtual reality scenarios, and laparoscopic virtual reality simulation. An AI algorithm to assess basic laparoscopic simulation training exercises was developed. This study aimed to analyze the agreement between this AI algorithm and expert evaluators in assessing basic laparoscopic-simulated training exercises., Methods: The AI algorithm was trained using 400-bean drop (BD) and 480-peg transfer (PT) videos and tested using 64-BD and 43-PT randomly selected videos, not previously used to train the algorithm. The agreement between AI and expert evaluators from the digital platform (EE) was then analyzed. The exercises being assessed involve using laparoscopic graspers to move objects across an acrylic board without dropping any objects in a determined time (BD < 24 s, PT < 55 s). The AI algorithm can detect object movement, identify if objects have fallen, track grasper clamps location, and measure exercise time. Cohen's Kappa test was used to evaluate the agreement between AI assessments and those performed by EE, using a pass/fail nomenclature based on the time to complete the exercise., Results: After the algorithm was trained, 79.69% and 93.02% agreement were observed in BD and PT, respectively. The Kappa coefficients test observed for BD and PT were 0.59 (moderate agreement) and 0.86 (almost perfect agreement), respectively., Conclusion: This first approach of AI use in basic laparoscopic skills simulated training assessment shows promising results, providing a preliminary framework to expand the use of AI to other basic laparoscopic skills exercises., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Obesity is mainly caused by intake of a high-fat diet and sedentarism, and is considered a public health issue worldwide. Increased intestinal permeability may favour endotoxaemia generated by lipopolysaccharides, a substance present in the cell membrane of Gram-negative bacteria, and, consequently, an increase in systemic inflammation and metabolic diseases. In contrast (On the other hand), consumption of a healthy diet can help in the prevention and treatment of metabolic syndrome. In this way, chia seeds (Salvia hispanica L.), rich in polyunsaturated fatty acids, may present an anti-inflammatory role. In addition, chia is rich in antioxidants like caffeic and gallic acid and fiber. However, few studies have investigated the relationship between chia seeds, inflammatory mechanisms and intestinal permeability. Therefore, the aim of this study was to analyse the effects of chia administration on metabolism in obese mice. Swiss mice were fed a hyperlipidic diet either supplemented with or without 3% chia flour for 16 weeks. The results showed that supplementation could not reduce the deleterious effects of the lipid-rich diet in terms of body composition, glucose intolerance and activity of antioxidants enzymes in the liver. In addition, supplementation with chia in the control diet decreased the amount of occludin in the intestinal colon. In conclusion, although chia did not improve metabolic parameters it seemed to restore the intestinal barriers integrity. The beneficial effects of chia seem to be dependent of the quantity used, since our data conflict with those in the literature; however, it is important to note that other studies, unlike our protocol, used chia in the form of seeds or oil, and not flour., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Objective: The aim of this study was to evaluate the effect of adding xanthan gum to the diet of rats on the production of cytokines and pro-inflammatory factors and on tumor development in rats inoculated with Walker 256 tumor cells., Methods: Fifty-six rats were divided into 4 groups: control diet (C), control diet with tumor (TC), xanthan gum diet (XG), xanthan gum diet with tumor (TXG)., Results: The ingestion of xanthan gum promotes changes in cytokine content: increasing IL-6 TNF-α and IL-10 in retroperitoneal adipose tissue compared to the control group; and increasing TNF-α in the mesenteric adipose tissue compared to the C and TXG groups. On the contrary, the addition of xanthan gum to the diet did not affect the development of Walker 256 tumors in rats., Conclusion: The continuous use of xanthan gum triggered a pro-inflammatory response, promoting an increase in pro-inflammatory cytokines in the adipose tissue, but it did not have an effect on the tumor development in the animals inoculated with Walker 256 tumor cells., Competing Interests: The authors have declared that no competing interests exist.

Chia seed (Salvia hispanica L.) contains high amounts of n-3 α-linolenic acid (ALA) and has been associated with many health benefits. The aim of the present study was to evaluate the AIN-93 diet supplemented by chia flour on cancer-cachexia development and tissues inflammatory response. Wistar rats at 30 days old were treated with control diet or diet supplemented with chia flour for eight weeks. After this period, half of the animals in each diet group were inoculated with Walker 256 tumor cells. On the 14th day after tumor inoculation, the animals were euthanized and white adipose tissue depots, liver, gastrocnemius muscle, and tumor were removed. The tumor weight was higher and IL-10 content was lower in chia flour group. The tumor bearing did not modify the cytokines content in gastrocnemius muscle, retroperitoneal and epididymal adipose tissue, however, it decreased IL-1β and TNF-α content in liver, and IL6R and IL-10R protein content in mesenteric adipose tissue. In conclusion, our results demonstrated that supplementation with chia flour did not prevent the tumor bearing effects in Walker 256 model.