Related Experiment Video

Updated: Aug 19, 2026

Manufacturing Abdominal Aorta Hydrogel Tissue-Mimicking Phantoms for Ultrasound Elastography Validation
09:32

Manufacturing Abdominal Aorta Hydrogel Tissue-Mimicking Phantoms for Ultrasound Elastography Validation

Published on: September 19, 2018

Relationship between travel time to the nearest hospital and survival from ruptured abdominal aortic aneurysms:

Veena C de Souza1, David P Strachan

  • 1Department of Public Health Sciences, St George's Hospital Medical School, Cranmer Terrace, London SW17 0RE, UK. vennaandjustin@hotmail.com

Journal of Public Health (Oxford, England)
|March 8, 2005
PubMed
Abstract

More Related Videos

An Approach to Point-Of-Care Ultrasound Evaluation of the Abdominal Aorta07:12

An Approach to Point-Of-Care Ultrasound Evaluation of the Abdominal Aorta

Published on: September 8, 2023

Creation of a Rodent Model of Abdominal Aortic Aneurysm by Blocking Adventitial Vasa Vasorum Perfusion08:37

Creation of a Rodent Model of Abdominal Aortic Aneurysm by Blocking Adventitial Vasa Vasorum Perfusion

Published on: November 8, 2017

Related Concept Videos

Aneurysm III: Interprofessional Care01:26

Aneurysm III: Interprofessional Care

Aneurysm management involves either conservative medical therapy or surgical intervention, depending on the size and symptoms of the aneurysm. Conservative management is generally reserved for smaller, asymptomatic aneurysms, while larger or symptomatic aneurysms often necessitate surgical repair.Conservative Medical TherapyFor small, asymptomatic aneurysms, particularly abdominal aortic aneurysms (AAA) less than 5.5 centimeters in diameter, conservative medical therapy is recommended. This...
Aneurysm II: Clinical Manifestations and Diagnostic Studies01:21

Aneurysm II: Clinical Manifestations and Diagnostic Studies

Thoracic, aortic arch and abdominal aneurysms are significant vascular conditions that can present with various clinical manifestations and lead to serious complications. Understanding these manifestations and the appropriate diagnostic studies is essential for effective management and treatment.Thoracic Aortic AneurysmsThoracic aortic aneurysms often remain asymptomatic until they reach a size that impinges on adjacent structures. They typically cause deep, diffuse chest pain that radiates to...
Aneurysm IV: Nursing Management01:22

Aneurysm IV: Nursing Management

Vigilant monitoring for aneurysm rupture is essential for patients undergoing aortic surgery.Preoperative Nursing ManagementContinuously monitor the patient for manifestations of aneurysm rupture, such as pallor, weakness, tachycardia, hypotension, abdominal, back, groin, or periumbilical pain, changes in consciousness, and a pulsating abdominal mass. Regularly assess the patient's peripheral pulses.Instruct the patient to consume a clear liquid diet the day before surgery and administer...
Aneurysm I: Introduction01:30

Aneurysm I: Introduction

An aortic aneurysm is a localized outpouching or dilation at a weak point in the artery wall. It may involve different parts of the aorta, such as the abdominal aorta, aortic arch, or thoracic aorta.Etiological factorsSeveral disorders are associated with aortic aneurysms.Congenital causes, such as primary connective tissue disorders like Marfan syndrome, impact the integrity and strength of connective tissues, notably affecting the aorta. Marfan syndrome is a genetic disorder that specifically...
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.