Introduction: Although intestinal anastomoses are mainly made by staplers, manual anastomoses are still in use worldwide. In previous studies, single layer anastomosis has shown better results compared to double layer techniques.

Purpose: To test experimentally some aspects of three different single layer anastomotic techniques in order to identify advantages and disadvantages of each.

Material And Methods: The study was done on Sprague Dawley rats. Animals were randomly divided into four groups. Three experimental groups consisted of 21 animals each, and the fourth sham group contained 10 animals. By 7 animals of each group were sacrificed on the 4th and the rest of 14 animals on the 7th postoperative day. In all groups the resected distal part of the colon was anastomosed using Halsted, Gambee and Gambee-Halsted technique. To evaluate each specific technique the following were used: postoperative complication frequency, biomechanical measurements, adhesion density, condition of intestinal lumen and histological parameters of the healing process.

Results: The complication frequency was not significantly different between the tested techniques. The average bursting pressure and tensile strength were higher on both the 4th and 7th postoperative days with the Gambee technique. In the colon segments removed on the 4th postoperative day 97% of pressure induced ruptures occurred in the anastomotic line, whereas on the 7th postoperative day 76% of ruptures occurred about 1cm distal to the anastomotic line.

Conclusion: The Gambee technique had significantly better biomechanical and histological results compare to the other two anastomotic techniques. Adhesion density was significantly lower in the control group (p<0.001).

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijsu.2008.10.005DOI Listing

Publication Analysis

Top Keywords

single layer
12
anastomotic techniques
12
7th postoperative
12
postoperative day
12
three single
8
layer anastomotic
8
complication frequency
8
adhesion density
8
gambee technique
8
ruptures occurred
8

Similar Publications

Multiplexed spatial mapping of chromatin features, transcriptome and proteins in tissues.

Nat Methods

January 2025

Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

The phenotypic and functional states of cells are modulated by a complex interactive molecular hierarchy of multiple omics layers, involving the genome, epigenome, transcriptome, proteome and metabolome. Spatial omics approaches have enabled the study of these layers in tissue context but are often limited to one or two modalities, offering an incomplete view of cellular identity. Here we present spatial-Mux-seq, a multimodal spatial technology that allows simultaneous profiling of five different modalities: two histone modifications, chromatin accessibility, whole transcriptome and a panel of proteins at tissue scale and cellular level in a spatially resolved manner.

View Article and Find Full Text PDF

A fault tolerant CSA in QCA technology for IoT devices.

Sci Rep

January 2025

Department of Computer Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran.

According to recent research, with the ever-increasing use of Internet of Things (IoT) devices, there has arisen an ever-growing need for high-performance yet low-power circuits that can efficiently process information. Quantum-dot Cellular Automata (QCA) has emerged as a promising alternative to conventional complementary metal-oxide-semiconductor (CMOS) technology due to its great potential in digital design at nanoscale levels on account of very low power consumption and very high processing speed. However, QCA circuits are inherently prone to faults due to variations in manufacturing processes and due to the influence of environmental factors.

View Article and Find Full Text PDF

Multi task opinion enhanced hybrid BERT model for mental health analysis.

Sci Rep

January 2025

Department of Computer Science, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia.

Understanding the nuanced emotions and points of view included in user-generated content remains challenging, even though text data analysis for mental health is a crucial instrument for assessing emotional well-being. Most current models neglect the significance of integrating viewpoints in comprehending mental health in favor of single-task learning. To offer a more thorough knowledge of mental health, in this study, we present an Opinion-Enhanced Hybrid BERT Model (Opinion-BERT), built to handle multi-task learning for simultaneous sentiment and status categorization.

View Article and Find Full Text PDF

The transcriptional response of cortical neurons to concussion reveals divergent fates after injury.

Nat Commun

January 2025

Unit on the Development of Neurodegeneration, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Traumatic brain injury (TBI) is a risk factor for neurodegeneration, however little is known about how this kind of injury alters neuron subtypes. In this study, we follow neuronal populations over time after a single mild TBI (mTBI) to assess long ranging consequences of injury at the level of single, transcriptionally defined neuronal classes. We find that the stress-responsive Activating Transcription Factor 3 (ATF3) defines a population of cortical neurons after mTBI.

View Article and Find Full Text PDF

Spatio-temporal transformers for decoding neural movement control.

J Neural Eng

January 2025

Department of Information Engineering, Electronics and Telecommunications, University of Rome La Sapienza, Piazzale Aldo Moro 5, Rome, 00185, ITALY.

Deep learning tools applied to high-resolution neurophysiological data have significantly progressed, offering enhanced decoding, real-time processing, and readability for practical applications. However, the design of artificial neural networks to analyze neural activity in vivo remains a challenge, requiring a delicate balance between efficiency in low-data regimes and the interpretability of the results. Approach: To address this challenge, we introduce a novel specialized transformer architecture to analyze single-neuron spiking activity.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!