Condition: Oncologic Disorders · Neurologic Disorder · Pulmonary Disease · Sponsor: IRCCS San Raffaele
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 a…
This description comes directly from the study's public registry record.
Antonio Esposito · 0226436102 · esposito.antonio@hsr.it
Anna Palmisano Palmisano · 0226436106 · palmisano.anna@hsr.it
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| IRCCS San Raffaele | Milan, Italy | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06523270