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Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

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Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
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Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

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Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Biomarkers.

Arno Liseune1, Ricardo Magalhães1, Simon Van Eyndhoven1

  • 1Icometrix, Leuven, Belgium.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
PubMed
Summary
This summary is machine-generated.

Automated software for ARIA detection and grading showed expert-level agreement. Assisting radiologists with this tool significantly improved their ability to grade ARIA severity, aiding treatment decisions.

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Area of Science:

  • Neuroradiology
  • Artificial Intelligence in Medical Imaging
  • Alzheimer's Disease Therapeutics

Background:

  • Monoclonal antibody therapies targeting amyloid beta can cause ARIA-E (edema) and ARIA-H (microhemorrhage, superficial siderosis).
  • Accurate identification and severity grading of ARIA are challenging for clinicians, impacting treatment decisions.
  • Assistive automated detection and grading software can enhance radiological assessment of ARIA.

Purpose of the Study:

  • To evaluate the performance of ICOBrain ARIA, an FDA-cleared software for automated detection and severity grading of ARIA-E and ARIA-H.
  • To compare the agreement of the software and non-expert radiologists (assisted and unassisted) with expert neuroradiologists in grading ARIA severity.

Main Methods:

  • Sixteen non-expert radiologists evaluated 199 Alzheimer's disease patient cases treated with aducanumab, twice: assisted and unassisted by ICOBrain ARIA.
  • Ground truth ARIA severity was established by three expert neuroradiologists for ARIA-E, ARIA-H microhemorrhage (MH), and ARIA-H superficial siderosis (SS).
  • The Obuchowski agreement metric was used to compare the software, unassisted readers, and assisted readers against the expert ground truth.

Main Results:

  • ICOBrain ARIA's automated severity grading demonstrated interchangeability with expert grading, achieving agreement levels comparable to inter-expert agreement.
  • Assisted radiologists showed significantly improved interchangeability with experts (p<0.05) compared to unassisted readings for ARIA-E, ARIA-H MH, and ARIA-H SS.
  • The software's agreement metrics were 0.853 (ARIA-E), 0.805 (ARIA-H MH), and 0.745 (ARIA-H SS), while assisted readers improved from 0.78, 0.75, 0.66 to 0.83, 0.78, 0.72 respectively.

Conclusions:

  • The standalone ICOBrain ARIA software provides severity grading comparable to expert neuroradiologists.
  • Utilizing ICOBrain ARIA as an assistive tool significantly enhances radiologists' ability to grade ARIA severity, leading to greater interchangeability with expert assessments.
  • This assistive technology holds promise for improving the consistency and accuracy of ARIA evaluation in clinical practice.