Diagnostic Impact of Radiological Findings and Extracellular Vesicles: Are We Close to Radiovesicolomics?
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 pr...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Biology |
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| Online Access: | https://www.mdpi.com/2079-7737/10/12/1265 |
| _version_ | 1797506492627156992 |
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| author | Francesco Lorenzo Serafini Paola Lanuti Andrea Delli Pizzi Luca Procaccini Michela Villani Alessio Lino Taraschi Luca Pascucci Erica Mincuzzi Jacopo Izzi Piero Chiacchiaretta Davide Buca Giulia Catitti Giuseppina Bologna Pasquale Simeone Damiana Pieragostino Massimo Caulo |
| author_facet | Francesco Lorenzo Serafini Paola Lanuti Andrea Delli Pizzi Luca Procaccini Michela Villani Alessio Lino Taraschi Luca Pascucci Erica Mincuzzi Jacopo Izzi Piero Chiacchiaretta Davide Buca Giulia Catitti Giuseppina Bologna Pasquale Simeone Damiana Pieragostino Massimo Caulo |
| author_sort | Francesco Lorenzo Serafini |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T04:34:23Z |
| format | Article |
| id | doaj.art-146285b4a81c40b895cc5ab85ce6bf65 |
| institution | Directory Open Access Journal |
| issn | 2079-7737 |
| language | English |
| last_indexed | 2024-03-10T04:34:23Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biology |
| spelling | doaj.art-146285b4a81c40b895cc5ab85ce6bf652023-11-23T03:53:24ZengMDPI AGBiology2079-77372021-12-011012126510.3390/biology10121265Diagnostic Impact of Radiological Findings and Extracellular Vesicles: Are We Close to Radiovesicolomics?Francesco Lorenzo Serafini0Paola Lanuti1Andrea Delli Pizzi2Luca Procaccini3Michela Villani4Alessio Lino Taraschi5Luca Pascucci6Erica Mincuzzi7Jacopo Izzi8Piero Chiacchiaretta9Davide Buca10Giulia Catitti11Giuseppina Bologna12Pasquale Simeone13Damiana Pieragostino14Massimo Caulo15Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Medicine and Aging Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyInstitute of Advanced Biomedical Technologies (ITAB), University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Medicine and Aging Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Medicine and Aging Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Medicine and Aging Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Medicine and Aging Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyCenter for Advanced Studies and Technology (CAST), University “G. d’Annunzio”, 66100 Chieti, ItalyDepartment of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, ItalyCurrently, 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.https://www.mdpi.com/2079-7737/10/12/1265extracellular vesiclesradiologyradiomicsartificial intelligenceradiovesicolomics |
| spellingShingle | Francesco Lorenzo Serafini Paola Lanuti Andrea Delli Pizzi Luca Procaccini Michela Villani Alessio Lino Taraschi Luca Pascucci Erica Mincuzzi Jacopo Izzi Piero Chiacchiaretta Davide Buca Giulia Catitti Giuseppina Bologna Pasquale Simeone Damiana Pieragostino Massimo Caulo Diagnostic Impact of Radiological Findings and Extracellular Vesicles: Are We Close to Radiovesicolomics? Biology extracellular vesicles radiology radiomics artificial intelligence radiovesicolomics |
| title | Diagnostic Impact of Radiological Findings and Extracellular Vesicles: Are We Close to Radiovesicolomics? |
| title_full | Diagnostic Impact of Radiological Findings and Extracellular Vesicles: Are We Close to Radiovesicolomics? |
| title_fullStr | Diagnostic Impact of Radiological Findings and Extracellular Vesicles: Are We Close to Radiovesicolomics? |
| title_full_unstemmed | Diagnostic Impact of Radiological Findings and Extracellular Vesicles: Are We Close to Radiovesicolomics? |
| title_short | Diagnostic Impact of Radiological Findings and Extracellular Vesicles: Are We Close to Radiovesicolomics? |
| title_sort | diagnostic impact of radiological findings and extracellular vesicles are we close to radiovesicolomics |
| topic | extracellular vesicles radiology radiomics artificial intelligence radiovesicolomics |
| url | https://www.mdpi.com/2079-7737/10/12/1265 |
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