Actively Recruiting

Age: 18Years +
All Genders
ID06523270

Advanced Imaging Holistic Omics Biobank Observational Study Using Photon Counting CT and 3T MRI to Build a Multiomic Research Database

Led by IRCCS San Raffaele · Updated on 2026-01-15

50000

Participants Needed

1

Research Sites

N/A

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are conducting an observational prospective study to build a large-scale multiomic database of adult patients undergoing advanced imaging studies. The study focuses on using recently introduced photon counting CT scanners and high-field 3T MRI scanners to explore latent imaging information, called "opportunist features," which may provide new insights into disease risk and progression. This research aims to improve understanding of pathological mechanisms and enhance diagnostic and prognostic accuracy in fields such as oncology, neurology, pulmonary, and cardiovascular diseases. The study enrolls consecutive adults undergoing advanced imaging examinations at a single center using the Photon Counting CT scanner (Neaotom Alpha, Siemens) and 3T MRI (MR 7700, Philips). Imaging raw data along with conventional images will be stored. Clinical, demographic, and laboratory information, including genetic test results when available, will be collected at enrollment. Blood samples for lab analysis will be taken during contrast media administration when applicable. Annual updates through clinical visits, telehealth, or phone interviews will be conducted to gather follow-up clinical, lab, and imaging data over a 10-year period. Participants will be asked to provide informed consent and undergo routine imaging and clinical assessments as part of their standard care. Data collection includes questionnaires, interviews, and automatic record updates when examinations occur at the study site. Researchers will monitor the development of imaging signatures linked to disease prevention, diagnosis, and treatment. The primary outcome is the creation of a comprehensive multiomics archive to support broad scientific research, with yearly follow-ups for up to 10 years.

CONDITIONS

Brief Title

Advanced Imaging Holistic Omics Biobank

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Adult subjects over 18 years old
  • Undergoing CT with Photon Counting CT scanner or 3T MRI for clinical or trial purposes at IRCCS San Raffaele
  • Signed informed consent authorizing data collection
Not Eligible

You will not qualify if you...

  • No signed informed consent

AI-Screening

AI-Powered Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

Duration - Single imaging session

Participants undergo advanced imaging studies including Photon Counting CT and 3T MRI. Clinical, demographic, laboratory, and genetic data are collected at enrollment.

1 visit (in-person) for imaging and data collection

Long-term Monitoring

Duration - Up to 10 years with yearly updates

Participants are followed annually to update clinical, laboratory, and imaging data through onsite visits, telehealth, or phone calls depending on feasibility.

Annual visits or telehealth sessions for up to 10 years

Trial Site Locations

Total: 1 location

1

IRCCS San Raffaele

Milan, Italy, 20132

Actively Recruiting

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Research Team

A

Antonio Esposito

A

Anna Palmisano Palmisano

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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Published Research Related To This Trial

Oncologically Relevant Findings Reporting and Data System (ONCO-RADS): Guidelines for the Acquisition, Interpretation, and Reporting of Whole-Body MRI for Cancer Screening.

Giuseppe Petralia, Dow-Mu Koh, Raj Attariwala...

https://pubmed.ncbi.nlm.nih.gov/33904776

Photon-counting computed tomography - clinical application in oncological, cardiovascular, and pediatric radiology.

Florian Hagen, Martin Soschynski, Meike Weis...

https://pubmed.ncbi.nlm.nih.gov/37793417