Molecular Imaging to Identify Predictors of Aortic Valve Disease Activity

September 8, 2026 updated by: Ahmed Tawakol, Massachusetts General Hospital

Molecular Imaging and Deep Phenotyping to Identify Predictors of AS Disease Activity and Progression

This is a prospective study that aims to devlop clinical calculators that will report on the underlying rate of aortic valve calcification. To do so, baseline 18FNaF PET/CT will be obtained to measure AS disease activity, the rate of active microcalcification. Using these data, multi-omics prediction models and calculator tools will be developed to provide an index of ongoing disease activity (active calcification). Follow-up imaging (both echo and CT) will be performed 1 year after baseline imaging, to assess progression. We will test the hypothesis that baseline disease activity (as reported by the predictor models and calculators) associated with the rate of annualized AS progression in two cohorts (the same cohort, using subsequent imaging, as well as in the Population Study's cohorts.

Study Overview

Status

Not yet recruiting

Detailed Description

Structural imaging modalities, such as echocardiography (echo) and computed tomography (CT), measure the structural consequences of aortic valvular calcification and have proven invaluable for grading AS severity. However, these techniques cannot capture the dynamic microcalcification processes that drive the underlying disease and have proven insufficient for predicting AS progression. In contrast, molecular imaging using 18F-NaF positron emission tomography/computed tomography (18F-NaF PET/CT) is the gold standard method for non-invasively measuring the central pathophysiological process that drives the progression of AS. This imaging approach uses 18F-sodium fluoride, a tracer that binds preferentially to hydroxyapatite in regions of developing microcalcification. This enables the quantification of microcalcification activity (which precedes visible macrocalcification) and thus provides insights into the underlying disease activity that propels AS progression. Notably, optimized protocols for 18F-NaF PET/CT produce a reproducible biomarker for tracking disease activity and predicting progression. Furthermore, recent advances in PET technology (such as total-body PET scanners) have improved sensitivity by 10- to 40-fold, further enhancing the quantification of the microcalcification rate underlying AS progression.

Overall, the assessment of microcalcification activity shifts the focus from static anatomical assessments to measurement of the dynamic pathological process driving AS progression. However, while 18F-NaF PET/CT is unsuitable for routine clinical use (because it is costly and currently limited to research applications), it can be effectively leveraged to train prediction models and deploy them as clinical calculators that estimate the rate of microcalcification process from readily available biomarker data. The resultant clinical models and calculators could greatly enhance clinical care by detecting patients at risk for rapid progression, refining risk stratification and prognostic accuracy, and opening avenues for personalized monitoring and treatment in calcific AS.

The overarching goal of this Clinical Imaging Study is to develop novel predictive models and clinical calculators that capture AS microcalcification activity and forecast the risk of progressive aortic valve stenosis in individuals with mild to moderate AS. We will achieve this by performing advanced multimodality imaging, including 18F-NaF PET/CT, to quantify microcalcification activity in deeply phenotyped patients using clinical, imaging, and blood plasma biomarkers. Computational approaches, including AI tools, will identify optimal combinations of imaging and non-imaging predictors of microcalcification activity. We will then develop accessible clinical calculators and test the hypothesis that these models and calculators enhance identification of rapid progressors through cross-validation and external validation in the Population Project cohort (which undergoes identical biomarker phenotyping).

Study Type

Observational

Enrollment (Estimated)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

100 subjects with mild or moderate aortic stenosis

Description

Inclusion Criteria:

Males and females aged 18 years or older with mild to moderate calcific AS, as defined by standard echocardiographic criteria.

Exclusion Criteria:

Bicuspid AS, pregnancy, cognitive disabilities that impair the ability to comply with instructions or provide informed consent, or any other medical condition that may undermine participation. Additional exclusion factors will include weight >300 lbs, severe claustrophobia, Pregnancy, and subjects who have had significant radiation exposure as part of research (>2 nuclear tests, computed tomography images, or fluoroscopic procedures) during the preceding 12 months. Further, individuals with renal dysfunction (eGFR<55) or history of allergic reaction to iodinated contrast will not receive the iodinated contrast.

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Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Individuals with mild or moderate aortic stenosis
Mild or moderate aortic stenosis noted on imaging and not expected to undergo treatment of the aortic valve over the next year.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
rate of AS progression
Time Frame: One year
change of echo- and CT-derived AS measures
One year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

September 30, 2026

Primary Completion (Estimated)

March 31, 2030

Study Completion (Estimated)

March 30, 2031

Study Registration Dates

First Submitted

September 8, 2026

First Submitted That Met QC Criteria

September 8, 2026

First Posted (Actual)

September 14, 2026

Study Record Updates

Last Update Posted (Actual)

September 14, 2026

Last Update Submitted That Met QC Criteria

September 8, 2026

Last Verified

September 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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