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Advanced Imaging Holistic Omics Biobank
Sponsor: IRCCS San Raffaele
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
50000
Start Date
2024-09-15
Completion Date
2034-09-15
Last Updated
2026-01-15
Healthy Volunteers
Not specified
Interventions
Computed Tomography (CT) using Photon Counting CT scanner (Neaotom Alpha, Siemens) and Magnetic Resonance (MRI)
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
Locations (1)
IRCCS San Raffaele
Milan, Italy