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Related Concept Videos

Peripheral Artery Disease I: Introduction01:30

Peripheral Artery Disease I: Introduction

378
Peripheral artery disease (PAD) predominantly results from atherosclerosis, which involves the accumulation of fatty deposits, or plaques, within the walls of arteries. This causes them to narrow and harden, significantly reducing blood flow. PAD predominantly affects the legs, particularly the arteries supplying the thighs and calves. In rare cases, it may involve other arteries, including those in the arms.Etiology of PAD:The principal cause of PAD is atherosclerosis, which results from fatty...
378
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

370
DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
370
Peripheral Artery Disease IV: Nursing Management01:26

Peripheral Artery Disease IV: Nursing Management

378
 The nursing management of a patient with peripheral artery disease (PAD) begins with a thorough assessment of the patient’s health history and clinical manifestations.AssessmentHealth History: Evaluate the patient’s history of hypertension, hyperlipidemia, family history of cardiovascular issues, and lifestyle factors such as dietary patterns, smoking, and physical activity.Physical Examination:Assess the affected extremity for decreased or absent peripheral pulses,...
378
Peripheral Artery Disease III: Interprofessional Care01:27

Peripheral Artery Disease III: Interprofessional Care

335
Peripheral Artery Disease (PAD) is characterized by narrowed arteries that diminish blood flow to the extremities. Effective management of PAD requires an interprofessional approach involving various healthcare professionals. The critical aspects of interprofessional care for PAD patients focus on risk factor modification, drug therapy, exercise therapy, nutrition therapy, critical limb ischemia care, and interventional radiology and surgical procedures.The primary treatment goal for PAD...
335
Peripheral Artery Disease V: Postoperative Nursing Management01:23

Peripheral Artery Disease V: Postoperative Nursing Management

414
During the postoperative period, it is crucial to focus on maintaining circulation, identifying and managing potential complications, and planning for discharge.Nursing AssessmentVital signs monitoring: Regularly monitor vital signs, including blood pressure, heart rate, respiratory rate, and temperature, to detect early signs of complications such as bleeding and infection.Circulation assessment: Monitor pulses, perform Doppler assessments, and check capillary refill, color, temperature, and...
414
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation01:21

Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation

425
Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
425

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Automated Region Extraction from Thermal Images for Peripheral Vascular Disease Monitoring.

Jean Gauci1, Owen Falzon1, Cynthia Formosa2

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This study introduces an automated method for extracting temperature data from thermal images to monitor diabetic peripheral arterial disease. The algorithm accurately identifies 44 regions of interest in about a minute, significantly faster than manual methods.

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Computational Biology

Background:

  • Peripheral arterial disease (PAD) is a common complication in diabetic patients.
  • Accurate temperature monitoring of extremities is crucial for PAD detection.
  • Manual extraction of thermal data from images is time-consuming and prone to variability.

Purpose of the Study:

  • To develop and validate an automated method for extracting temperature data from specific anatomical regions in thermal images.
  • To assess the accuracy, reliability, and efficiency of the automated method compared to manual extraction.
  • To facilitate large-scale studies for monitoring PAD in diabetic patients.

Main Methods:

  • A cascade of binarisation, morphological operations, and geometric transformations was employed for automated region extraction.
  • Algorithms were designed to extract data from 44 predefined regions of interest (ROIs) in thermal images of hands, feet, and shins.
  • The method was tested on data from 395 participants.

Main Results:

  • The automated method achieved correct extraction in approximately 90% of the images.
  • Automated ROI extraction took approximately 1 minute, a tenfold reduction compared to the 10 minutes required for manual extraction.
  • Interrater reliability tests indicated that automated ROIs were comparable to human-extracted ROIs with minimal temperature differences.

Conclusions:

  • The developed algorithms provide an accurate and reliable automated method for temperature extraction from thermal images, matching human rater performance.
  • The tenfold reduction in processing time makes automated extraction feasible for large-scale studies and cost-effective.
  • The automated process has the potential to replace manual extraction, improving efficiency and enabling broader application in PAD monitoring.