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.

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

Lanuti P.;Delli Pizzi A.
;
Procaccini L.;Taraschi A. L.;Pascucci L.;Mincuzzi E.;Izzi J.;Chiacchiaretta P.;Catitti G.;Bologna G.;Simeone P.;Pieragostino D.;Caulo M.
2021-01-01

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.
2021
Inglese
10
12
1265
Artificial intelligence; Extracellular vesicles; Radiology; Radiomics; Radiovesicolomics
https://www.mdpi.com/2079-7737/10/12/1265
no
16
info:eu-repo/semantics/article
262
Serafini, F. L.; Lanuti, P.; Delli Pizzi, A.; Procaccini, L.; Villani, M.; Taraschi, A. L.; Pascucci, L.; Mincuzzi, E.; Izzi, J.; Chiacchiaretta, P.; ...espandi
1 Contributo su Rivista::1.1 Articolo in rivista
open
File in questo prodotto:
File Dimensione Formato  
serafinibiology-1459900 (1).pdf

accesso aperto

Descrizione: Review
Tipologia: PDF editoriale
Dimensione 588.4 kB
Formato Adobe PDF
588.4 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/767447
Citazioni
  • ???jsp.display-item.citation.pmc??? 3
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
social impact