NCT06523270

Brief Summary

Imaging methods today represent the pillar of prevention, diagnosis, patients monitoring and treatment. Improvement in technology led the development of increasingly high-performance scanners whose potential has not yet been fully explored. In particular, recently introduced photon counting CT scanner and new high filed MRI offers a lake of latent information derived from the images (e.g. spectral data from CT) of potentially great interest and potentially able to provide new insight but that are currently mostly unexplored .These features are also called "opportunist features" because they are in each exam and can be freely derived from images without changing the study protocol used for clinical practice examination but extracted a posteriori from the images representing a precious source of deep characterization of the patients, equally or even more than a genomic analysis, with possible high relevance in the field of screening and prevention, being able to contribute to defining signatures indicating a particular risk of remotely developing a specific pathological condition. The prospective collection of clinical and imaging data from subjects undergoing diagnostic tests with advanced technology has the potential to increase knowledge of the pathophysiological mechanisms of different pathological conditions, to explore and validate the diagnostic-predictive value of opportunistic features not currently used in practice clinical, to increase the diagnostic and prognostic accuracy of CT and MRI examinations and to provide a unique pool for scientific research. Previous relevant experience was conducted in the United Kingdom (UK biobank) where data from over 500,000 patients have been collected in the last 10 years, providing an enormous pool for spontaneous and funded scientific research. This project (UK biobank), although of enormous scientific value, is currently obsolete in terms of the imaging technology used.

Trial Health

77
On Track

Trial Health Score

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

Enrollment
50,000

participants targeted

Target at P75+ for all trials

Timeline
102mo left

Started Sep 2024

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 Progress16%
Sep 2024Sep 2034

First Submitted

Initial submission to the registry

July 18, 2024

Completed
8 days until next milestone

First Posted

Study publicly available on registry

July 26, 2024

Completed
2 months until next milestone

Study Start

First participant enrolled

September 15, 2024

Completed
10 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 15, 2034

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 15, 2034

Last Updated

January 15, 2026

Status Verified

December 1, 2025

Enrollment Period

10 years

First QC Date

July 18, 2024

Last Update Submit

January 14, 2026

Conditions

Outcome Measures

Primary Outcomes (1)

  • a large scale multiomics archive of patients submitted to advanced imaging studies to support a wide range of research intended to identify imaging signature able to improve the prevention, diagnosis and treatment of disease

    Follow-up collection yearly for 10 years

Study Arms (1)

prospective cohort

All adult (≥18 y.o) subjects (until 50000 individuals) presenting to the U.O of Radiologia DiMer "Advanced Imaging for Personalized Medicine" to be submitted to imaging study on advanced scanner

Radiation: Computed Tomography (CT) using Photon Counting CT scanner (Neaotom Alpha, Siemens) and Magnetic Resonance (MRI)

Interventions

All adult (≥18 y.o) subjects (until 50000 individuals) presenting to the U.O of Radiologia DiMer "Advanced Imaging for Personalized Medicine" to be submitted to imaging study on advanced scanner

prospective cohort

Eligibility Criteria

Age18 Years+
Sexall
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

All adult (≥18 y.o) subjects (until 50000 individuals) presenting to the U.O of Radiologia DiMer "Advanced Imaging for Personalized Medicine" to be submitted to imaging study on advanced scanner

You may qualify if:

  • Adult subjects (\>18 y.o.) submitted to Computed Tomography (CT) using Photon Counting CT scanner (Neaotom Alpha, Siemens) and Magnetic Resonance (MRI) exams acquired with 3T scanner (MR 7700, Philips) for examination required for clinical practice or for clinical trials at the IRCCS San Raffaele Hospital who signe an Informed Consent authorizing data collection.

You may not qualify if:

  • Absent informed consent signed

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

IRCCS San Raffaele

Milan, 20132, Italy

RECRUITING

Related Publications (3)

  • Petralia G, Koh DM, Attariwala R, Busch JJ, Eeles R, Karow D, Lo GG, Messiou C, Sala E, Vargas HA, Zugni F, Padhani AR. Oncologically Relevant Findings Reporting and Data System (ONCO-RADS): Guidelines for the Acquisition, Interpretation, and Reporting of Whole-Body MRI for Cancer Screening. Radiology. 2021 Jun;299(3):494-507. doi: 10.1148/radiol.2021201740. Epub 2021 Apr 27.

    PMID: 33904776BACKGROUND
  • Summers P, Saia G, Colombo A, Pricolo P, Zugni F, Alessi S, Marvaso G, Jereczek-Fossa BA, Bellomi M, Petralia G. Whole-body magnetic resonance imaging: technique, guidelines and key applications. Ecancermedicalscience. 2021 Jan 7;15:1164. doi: 10.3332/ecancer.2021.1164. eCollection 2021.

    PMID: 33680078BACKGROUND
  • Hagen F, Soschynski M, Weis M, Hagar MT, Krumm P, Ayx I, Taron J, Krauss T, Hein M, Ruile P, von Zur Muehlen C, Schlett CL, Neubauer J, Tsiflikas I, Russe MF, Arnold P, Faby S, Froelich MF, Weiss J, Stein T, Overhoff D, Bongers M, Nikolaou K, Schonberg SO, Bamberg F, Horger M. Photon-counting computed tomography - clinical application in oncological, cardiovascular, and pediatric radiology. Rofo. 2024 Jan;196(1):25-35. doi: 10.1055/a-2119-5802. Epub 2023 Oct 4. English, German.

    PMID: 37793417BACKGROUND

MeSH Terms

Conditions

Nervous System DiseasesLung DiseasesCardiovascular Diseases

Interventions

Magnetic Resonance Spectroscopy

Condition Hierarchy (Ancestors)

Respiratory Tract Diseases

Intervention Hierarchy (Ancestors)

Spectrum AnalysisChemistry Techniques, AnalyticalInvestigative Techniques

Central Study Contacts

Antonio Esposito

CONTACT

Anna Palmisano Palmisano

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

July 18, 2024

First Posted

July 26, 2024

Study Start

September 15, 2024

Primary Completion (Estimated)

September 15, 2034

Study Completion (Estimated)

September 15, 2034

Last Updated

January 15, 2026

Record last verified: 2025-12

Locations