Clinical evaluation of a right-sided prophylactic gastropexy via a grid approach.

J Am Anim Hosp Assoc

Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, 4700 Hillsborough Street, Raleigh, North Carolina 27606, USA.

Published: September 2003

A new technique is described for a prophylactic incisional gastropexy via a right-sided grid approach (i.e., minilaparotomy). A pilot study showed comparable tensile strength between a traditional ventral midline approach and the grid approach. Six client-owned dogs were selected for the procedure. Four weeks postoperatively, a barium gastrogram was performed to assess stomach/gastropexy position. Complications included a seroma and postoperative discomfort. This technique should be considered for any at-risk breed that is not overweight. The right-sided grid approach to a prophylactic gastropexy was less invasive than a ventral midline approach and resulted in a stable gastropexy at 4 weeks postoperatively in five of six dogs.

Download full-text PDF

Source
http://dx.doi.org/10.5326/0390397DOI Listing

Publication Analysis

Top Keywords

grid approach
16
prophylactic gastropexy
8
right-sided grid
8
ventral midline
8
midline approach
8
weeks postoperatively
8
approach
6
clinical evaluation
4
evaluation right-sided
4
right-sided prophylactic
4

Similar Publications

Toward Grid-Based Models for Molecular Association.

J Chem Theory Comput

January 2025

Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Arnimallee 22, 14195 Berlin, Germany.

This paper presents a grid-based approach to model molecular association processes as an alternative to sampling-based Markov models. Our method discretizes the six-dimensional space of relative translation and orientation into grid cells. By discretizing the Fokker-Planck operator governing the system dynamics via the square-root approximation, we derive analytical expressions for the transition rate constants between grid cells.

View Article and Find Full Text PDF

Speed breeding advancements in safflower ( L.): a simplified and efficient approach for accelerating breeding programs.

Mol Breed

January 2025

Department of Agricultural Biotechnology, Genome and Stem Cell Center, Erciyes University, Kayseri, 38280 Türkiye.

This study investigated the potential of extended irradiation combined with immature embryo culture techniques to accelerate generation advancements in safflower ( L.) breeding programs. We developed an efficient speed breeding method by applying light-emitting diodes (LEDs) that emit specific wavelengths, alongside the in vitro germination of immature embryos under controlled environmental conditions.

View Article and Find Full Text PDF

Liquid-liquid phase separation driven by charge heterogeneity.

Commun Phys

December 2024

Institut für Theoretische Physik, TU Wien, Wiedner Hauptstraße 8-10, A-1040 Wien, Austria.

Despite the intrinsic charge heterogeneity of proteins plays a crucial role in the liquid-liquid phase separation (LLPS) of a broad variety of protein systems, our understanding of the effects of their electrostatic anisotropy is still in its early stages. We approach this issue by means of a coarse-grained model based on a robust mean-field description that extends the DLVO theory to non-uniformly charged particles. We numerically investigate the effect of surface charge patchiness and net particle charge on varying these features independently and with the use of a few parameters only.

View Article and Find Full Text PDF

Synergistic integration of brain networks and time-frequency multi-view feature for sleep stage classification.

Health Inf Sci Syst

December 2025

Faculty of Information Engineering and Automation, Kunming University of Science and Technology, No.727 Jingming South Road, Kunming, 650504 Yunnan China.

For diagnosing mental health conditions and assessing sleep quality, the classification of sleep stages is essential. Although deep learning-based methods are effective in this field, they often fail to capture sufficient features or adequately synthesize information from various sources. For the purpose of improving the accuracy of sleep stage classification, our methodology includes extracting a diverse array of features from polysomnography signals, along with their transformed graph and time-frequency representations.

View Article and Find Full Text PDF

In recent years, Wireless Sensor Networks (WSN) have become vital because of their versatility in numerous applications. Nevertheless, the attain problems like inherent noise, and limited node computation capabilities, result in reduced sensor node lifespan as well as enhanced power consumption. To tackle such problems, this study develops a Modified-Distributed Arithmetic-Offset Binary Coding-based Adaptive Finite Impulse Response (MDA-OBC based AFIR) framework.

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!