Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Medical Radiology in Italy: Current Progress

Alessia Pepe
ORCID logo ,
Filippo Crimì
,
Federica Vernuccio
,
Giulio Cabrelle
ORCID logo ,
Amalia Lupi
,
Chiara Zanon
* ORCID logo ,
Sebastiano Gambato
,
Anna Perazzolo
,
Emilio Quaia
ORCID logo
Version 1 : Received: 17 June 2023 / Approved: 19 June 2023 / Online: 19 June 2023 (04:05:05 CEST)

A peer-reviewed article of this Preprint also exists.

Pepe, A.; Crimì, F.; Vernuccio, F.; Cabrelle, G.; Lupi, A.; Zanon, C.; Gambato, S.; Perazzolo, A.; Quaia, E. Medical Radiology: Current Progress. Diagnostics 2023, 13, 2439. Pepe, A.; Crimì, F.; Vernuccio, F.; Cabrelle, G.; Lupi, A.; Zanon, C.; Gambato, S.; Perazzolo, A.; Quaia, E. Medical Radiology: Current Progress. Diagnostics 2023, 13, 2439.

Abstract

Recently, Medical Radiology has undergone significant improvements in patients’ management due to advancements in image acquisition by last generation machines, data processing, and integration of artificial intelligence. In this way, cardiovascular imaging is one of the fastest growing radiological subspecialty. A compressive review was focused on addressing how and why CT and MR have gained a I class indication in most cardiovascular diseases, and the potential impact of the tissue and functional characterization by CT photon counting, quantitative MR mapping, and 4-D flow. Regarding rectal imaging, advances in cancer imaging by using diffusion-weighted MRI sequences for identifying residual disease after neoadjuvant chemoradiotherapy and [18F] FDG PET/MRI were provided for high-resolution anatomical and functional data in oncological patients. We offered a large overview on the approach to the imaging of diffuse and focal liver diseases by US elastography, contrast-enhanced US, quantitative MRI, and CT for the patient’s risk stratification. Italy is riding the wave of these improvements. The development of large networks will be crucial to create high-quality databases for a patient-centered precision medicine by artificial intelligence. dedicated radiologists with specific training and a close relationship with the referring clinicians will be the essential human factor.

Keywords

Cardiovascular Imaging; Rectal Imaging; Liver Imaging; Computed Tomography; Magnetic Resonance Imaging; Ultrasound

Subject

Medicine and Pharmacology, Other

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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