NCT06906042

Brief Summary

Medical imaging is increasingly important for understanding diseases, detecting them early, and personalizing treatments. New imaging techniques, which can measure processes in the body without surgery, are opening the door to a more precise approach to medicine. Instead of relying on general probabilities, this technology allows us to analyze specific factors in a person's health, leading to better predictions and targeted treatments. One key challenge in medicine today is reducing "residual individual risk"-the remaining health risks that current treatments don't fully address. This involves understanding how factors like age, sex, genetics, and environment affect our health, particularly when it comes to conditions like heart and liver disease. By using imaging to distinguish between normal aging and disease, we can better assess individual health risks. The current project will create a large collection of medical images linked with health data from a broad population across France. Using advanced, non-invasive techniques such as MRI and ultrasound, researchers will analyze the heart, blood vessels, and liver in detail, considering factors like gender and health risk profiles. This will help improve our understanding of these diseases, which are often silent and not well understood, providing direct benefits to the participants. Ultimately, the goal is to optimize imaging technologies for large-scale studies, which will help enhance early detection and prevention for everyone.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2,400

participants targeted

Target at P75+ for all trials

Timeline
83mo left

Started Sep 2025

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress9%
Sep 2025Mar 2033

First Submitted

Initial submission to the registry

December 10, 2024

Completed
4 months until next milestone

First Posted

Study publicly available on registry

April 2, 2025

Completed
6 months until next milestone

Study Start

First participant enrolled

September 15, 2025

Completed
4.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 14, 2030

Expected
3 years until next milestone

Study Completion

Last participant's last visit for all outcomes

March 14, 2033

Last Updated

January 23, 2026

Status Verified

January 1, 2026

Enrollment Period

4.5 years

First QC Date

December 10, 2024

Last Update Submit

January 22, 2026

Conditions

Keywords

multimodal imagingheartliverConstances cohortpopulationCardiac imagingMRIAgingreference values

Outcome Measures

Primary Outcomes (6)

  • Establishement of reference nomograms accounting for age in heart

    Ultrasound and MRI images analysis of qualitative and quantitative morphology, function, quantitative tissue characterization of the heart

    During 36 months of analysis (after 60 months of inclusion)

  • Establishement of reference nomograms accounting for sex in heart

    Ultrasound and MRI images analysis of qualitative and quantitative morphology, function, quantitative tissue characterization of the heart

    During 36 months of analysis (after 60 months of inclusion)

  • Establishement of reference nomograms accounting for age in liver

    Ultrasound and MRI images analysis of quantitative steatosis, fibrosis

    During 36 months of analysis (after 60 months of inclusion)

  • Establishement of reference nomograms accounting for sex in liver

    Ultrasound and MRI images analysis of quantitative steatosis, fibrosis

    During 36 months of analysis (after 60 months of inclusion)

  • Establishement of reference nomograms accounting for age in adipose tissue

    Ultrasound and MRI images analysis of volumes of subcutaneous, visceral and epicardial adipose tissues

    During 36 months of analysis (after 60 months of inclusion)

  • Establishement of reference nomograms accounting for sex in adipose tissue

    Ultrasound and MRI images analysis of volumes of subcutaneous, visceral and epicardial adipose tissues

    During 36 months of analysis (after 60 months of inclusion)

Secondary Outcomes (4)

  • Advanced Imaging profiling of Heart

    During 36 months of analysis (after 60 months of inclusion)

  • Advanced imaging profiling in Liver

    During 36 months of analysis (after 60 months of inclusion)

  • Advanced biological phenotyping

    During 36 months of analysis (after 60 months of inclusion)

  • identification of genetic risk markers for cardio-metabolic diseases

    During 36 months of analysis (after 60 months of inclusion)

Study Arms (1)

Constances volunteers

The 2400 volunteers will be stratifed according to age in decades from 20 to 80 years of age and matched 1:1 male:female.

Radiation: Imaging examinationsOther: Paramedical examinationsOther: Medical examinationOther: Echocardiography

Interventions

* Cardiovascular MRI * Hepatic MRI * Hepatic ultrasound

Constances volunteers

* Urinary pregnancy test for women of childbearing age. * Blood sample for cardiometabolism profiling * Blood samples for biobanking (according to the information and consent form) * Impedancemetry * AGE reader: combined non-invasive measurement of aging and accumulation of glycated proteins in the subcutaneous tissue will be performed with a CE-marked device.

Constances volunteers

* Review of risk factors * Review of previous history * Recording of current medication (dci, dose, start date) * Recording of medication in the last 6 months and discontinued since (dci, dose, start date)

Constances volunteers

Echocardiography including: 12-lead digital ECG

Constances volunteers

Eligibility Criteria

Age20 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Study participants are asymptomatic volunteers from the Constances cohort, whose risk factor profiles are representative of the population in the Île-de-France region (Paris area). Participants are divided into 6 decades from 20 to 80 years with equal distribution of men/women (200 men and 200 women per decade)

You may qualify if:

  • Participation to the Constances cohort
  • Age ≥ 20 years
  • No overt cardiovascular or hepatic disease or related symptoms
  • No known family or personal genetic disease
  • Affiliation with a social security scheme or beneficiary of such a scheme.
  • Agreement to sign the consent

You may not qualify if:

  • Renal function impairment with GFR \< 60 mL/min/1.73m2
  • Deprived of liberty or persons subject to a legal protection measure (under guardianship or trusteeship)
  • People with contraindications to MRI (claustrophobia, presence of metallic elements…)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Hôpital Pitié-Salpêtrière

Paris, France

RECRUITING

Related Publications (4)

  • Mauger CA, Gilbert K, Suinesiaputra A, Bluemke DA, Wu CO, Lima JAC, Young AA, Ambale-Venkatesh B. Multi-Ethnic Study of Atherosclerosis: Relationship between Left Ventricular Shape at Cardiac MRI and 10-year Outcomes. Radiology. 2023 Feb;306(2):e220122. doi: 10.1148/radiol.220122. Epub 2022 Sep 20.

  • Bohnen S, Avanesov M, Jagodzinski A, Schnabel RB, Zeller T, Karakas M, Schneider J, Tahir E, Cavus E, Spink C, Radunski UK, Ojeda F, Adam G, Blankenberg S, Lund GK, Muellerleile K. Cardiovascular magnetic resonance imaging in the prospective, population-based, Hamburg City Health cohort study: objectives and design. J Cardiovasc Magn Reson. 2018 Sep 24;20(1):68. doi: 10.1186/s12968-018-0490-7.

  • Nie C, Li Y, Li R, Yan Y, Zhang D, Li T, Li Z, Sun Y, Zhen H, Ding J, Wan Z, Gong J, Shi Y, Huang Z, Wu Y, Cai K, Zong Y, Wang Z, Wang R, Jian M, Jin X, Wang J, Yang H, Han JJ, Zhang X, Franceschi C, Kennedy BK, Xu X. Distinct biological ages of organs and systems identified from a multi-omics study. Cell Rep. 2022 Mar 8;38(10):110459. doi: 10.1016/j.celrep.2022.110459.

  • Laurent S, Boutouyrie P, Cunha PG, Lacolley P, Nilsson PM. Concept of Extremes in Vascular Aging. Hypertension. 2019 Aug;74(2):218-228. doi: 10.1161/HYPERTENSIONAHA.119.12655. Epub 2019 Jun 17. No abstract available.

Biospecimen

Retention: SAMPLES WITH DNA

Biobank blood samples (16 ml) will be collected and stored as follows:. * Dry blood tubes (8ml) for the constitution of a serum collection, stored in aliquots. * EDTA blood tubes (8 ml) for the constitution of a plasma collection, stored in aliquots. * For subjects who consent to genetic analysis (no additional intake) and according to the informed consent, the EDTA tube will be kepted at the CRB ICAN for future DNA extraction for ICONIC or further research.

MeSH Terms

Interventions

Independent Medical Evaluation

Intervention Hierarchy (Ancestors)

Health Care Evaluation MechanismsQuality of Health CareHealth Care Quality, Access, and Evaluation

Central Study Contacts

Alban M Redheuil, PU-PH

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
1 Day
Sponsor Type
OTHER GOV
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 10, 2024

First Posted

April 2, 2025

Study Start

September 15, 2025

Primary Completion (Estimated)

March 14, 2030

Study Completion (Estimated)

March 14, 2033

Last Updated

January 23, 2026

Record last verified: 2026-01

Locations