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Related Concept Videos

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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.
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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.
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Related Experiment Video

Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Biomarkers.

Jessie Fanglu Fu1, Cristina Lois1, Amal Tiss1

  • 1Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

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

A new compartmental model accurately quantifies [18F]MK6240 extracerebral contamination in Alzheimer's disease (AD) tau imaging. This method improves accuracy and sensitivity for early tau detection compared to partial volume correction (PVC).

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Area of Science:

  • Neuroimaging
  • Radiochemistry
  • Nuclear Medicine

Background:

  • [18F]MK6240 PET imaging shows high affinity for Alzheimer's disease (AD) tauopathy.
  • Meningeal and extracerebral off-target signals complicate early tau detection.
  • Previous work demonstrated irreversible kinetics of off-target signals.

Purpose of the Study:

  • To evaluate an alternative compartmental model (2TCM+s) for quantifying extracerebral contamination.
  • To compare the performance of the 2TCM+s model against partial volume correction (PVC) for early tau detection.
  • To assess the impact of the 2TCM+s model on late-frame Standardized Uptake Value Ratio (SUVR).

Main Methods:

  • Thirteen participants (8 controls, 5 MCI) underwent 2-hr [18F]MK6240 PET, MRI, and arterial sampling.
  • A within-reconstruction kernel-based PVC was applied to a subset of participants.
  • Regional uptake was modeled using standard 2-tissue compartmental model (2TCM), 2TCM+s, and 2TCM-kernel.

Main Results:

  • The 2TCM+s model showed the best performance based on Akaike Information Criteria (AIC).
  • The extracerebral term 's' quantified contamination, highest in regions near the meninges.
  • SUVR with 2TCM+s correction exhibited the largest effect size for differentiating controls from MCI patients.

Conclusions:

  • Compartmental modeling (2TCM+s) quantifies [18F]MK6240 extracerebral contamination, improving accuracy and sensitivity for early tau detection.
  • This approach shows potential advantages over PVC.
  • Future studies will validate these corrections in larger cohorts and non-dynamic PET data.