A pre-operative planning for endoprosthetic human tracheal implantation: a decision support system based on robust design of experiments.

Comput Methods Biomech Biomed Engin

a Group of Structural Mechanics and Material Modelling (GEMM), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza , Spain.

Published: May 2014

Swallowing depends on physiological variables that have a decisive influence on the swallowing capacity and on the tracheal stress distribution. Prosthetic implantation modifies these values and the overall performance of the trachea. The objective of this work was to develop a decision support system based on experimental, numerical and statistical approaches, with clinical verification, to help the thoracic surgeon in deciding the position and appropriate dimensions of a Dumon prosthesis for a specific patient in an optimal time and with sufficient robustness. A code for mesh adaptation to any tracheal geometry was implemented and used to develop a robust experimental design, based on the Taguchi's method and the analysis of variance. This design was able to establish the main swallowing influencing factors. The equations to fit the stress and the vertical displacement distributions were obtained. The resulting fitted values were compared to those calculated directly by the finite element method (FEM). Finally, a checking and clinical validation of the statistical study were made, by studying two cases of real patients. The vertical displacements and principal stress distribution obtained for the specific tracheal model were in agreement with those calculated by FE simulations with a maximum absolute error of 1.2 mm and 0.17 MPa, respectively. It was concluded that the resulting decision support tool provides a fast, accurate and simple tool for the thoracic surgeon to predict the stress state of the trachea and the reduction in the ability to swallow after implantation. Thus, it will help them in taking decisions during pre-operative planning of tracheal interventions.

Download full-text PDF

Source
http://dx.doi.org/10.1080/10255842.2012.715639DOI Listing

Publication Analysis

Top Keywords

decision support
12
pre-operative planning
8
support system
8
system based
8
stress distribution
8
thoracic surgeon
8
tracheal
5
planning endoprosthetic
4
endoprosthetic human
4
human tracheal
4

Similar Publications

Objective: Despite excellent functional outcomes after shoulder stabilization surgery, a substantial number of patients fail to return to sports (RTS) at the preinjury level. The psychological factors affecting RTS postsurgery have been underexplored. This scoping review aimed to identify and analyze potential psychological factors influencing the decision to RTS after shoulder stabilization surgery.

View Article and Find Full Text PDF

Background: Dyspnoea is one of the emergency department's (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), pneumonia and "other diagnoses" by using deep learning and complete, unselected data from an entire regional health care system.

Methods: In this cross-sectional study, we included all dyspnoeic ED visits of patients ≥ 18 years of age at the two EDs in the region of Halland, Sweden, 07/01/2017-12/31/2019.

View Article and Find Full Text PDF

Background: Private-part skin diseases (PPSDs) can cause a patient's stigma, which may hinder the early diagnosis of these diseases. Artificial intelligence (AI) is an effective tool to improve the early diagnosis of PPSDs, especially in preventing the deterioration of skin tumors in private parts such as Paget disease. However, to our knowledge, there is currently no research on using AI to identify PPSDs due to the complex backgrounds of the lesion areas and the challenges in data collection.

View Article and Find Full Text PDF

Groundwater is an essential freshwater source worldwide, but increasing pollution poses risks to its sustainability. This study applied a comprehensive approach to assess hydrogeochemical facies and groundwater quality in Odisha's large low-lying coastal regions. Analysis of 136 samples revealed that sodium (9.

View Article and Find Full Text PDF

The causal explanations voice-hearers have for their voice-hearing experiences may influence affective outcome and clinical decision making. Voice-hearers endorse a range of explanatory models, which do not consistently align with explanatory models held by healthcare professionals. Research has established that explanatory models for voice-hearing are dynamic rather than fixed, and are influenced by internal beliefs and motivations, culture, and contact with significant others.

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!