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Diagnostic impact of radiological findings and extracellular vesicles: Are we close to radiovesicolomics?

Articolo
Data di Pubblicazione:
2021
Abstract:
Currently, several pathologies have corresponding and specific diagnostic and therapeutic branches of interest focused on early and correct detection, as well as the best therapeutic approach. Radiology never ceases to develop newer technologies in order to give patients a clear, safe, early, and precise diagnosis; furthermore, in the last few years diagnostic imaging panoramas have been extended to the field of artificial intelligence (AI) and machine learning. On the other hand, clinical and laboratory tests, like flow cytometry and the techniques found in the “omics” sciences, aim to detect microscopic elements, like extracellular vesicles, with the highest specificity and sensibility for disease detection. If these scientific branches started to cooperate, playing a conjugated role in pathology diagnosis, what could be the results? Our review seeks to give a quick overview of recent state of the art research which investigates correlations between extracellular vesicles and the known radiological features useful for diagnosis.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Artificial intelligence; Extracellular vesicles; Radiology; Radiomics; Radiovesicolomics
Elenco autori:
Serafini, F. L.; Lanuti, P.; Delli Pizzi, A.; Procaccini, L.; Villani, M.; Taraschi, A. L.; Pascucci, L.; Mincuzzi, E.; Izzi, J.; Chiacchiaretta, P.; Buca, D.; Catitti, G.; Bologna, G.; Simeone, P.; Pieragostino, D.; Caulo, M.
Autori di Ateneo:
CAULO MASSIMO
CHIACCHIARETTA PIERO
DELLI PIZZI ANDREA
LANUTI PAOLA
PIERAGOSTINO DAMIANA
SIMEONE PASQUALE
Link alla scheda completa:
https://ricerca.unich.it/handle/11564/767447
Link al Full Text:
https://ricerca.unich.it//retrieve/handle/11564/767447/290656/serafinibiology-1459900%20(1).pdf
Pubblicato in:
BIOLOGY
Journal
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URL

https://www.mdpi.com/2079-7737/10/12/1265
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