Cargando…
Medical Radiology: Current Progress
Recently, medical radiology has undergone significant improvements in patient management due to advancements in image acquisition by the last generation of machines, data processing, and the integration of artificial intelligence. In this way, cardiovascular imaging is one of the fastest-growing rad...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378672/ https://www.ncbi.nlm.nih.gov/pubmed/37510183 http://dx.doi.org/10.3390/diagnostics13142439 |
_version_ | 1785079826577620992 |
---|---|
author | Pepe, Alessia Crimì, Filippo Vernuccio, Federica Cabrelle, Giulio Lupi, Amalia Zanon, Chiara Gambato, Sebastiano Perazzolo, Anna Quaia, Emilio |
author_facet | Pepe, Alessia Crimì, Filippo Vernuccio, Federica Cabrelle, Giulio Lupi, Amalia Zanon, Chiara Gambato, Sebastiano Perazzolo, Anna Quaia, Emilio |
author_sort | Pepe, Alessia |
collection | PubMed |
description | Recently, medical radiology has undergone significant improvements in patient management due to advancements in image acquisition by the last generation of machines, data processing, and the integration of artificial intelligence. In this way, cardiovascular imaging is one of the fastest-growing radiological subspecialties. In this study, 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 tissue and functional characterization by CT photon counting, quantitative MR mapping, and 4-D flow. Regarding rectal imaging, advances in cancer imaging 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. The results present a large overview of the approach to the imaging of diffuse and focal liver diseases by US elastography, contrast-enhanced US, quantitative MRI, and CT for patient risk stratification. Italy is currently riding the wave of these improvements. The development of large networks will be crucial to create high-quality databases for patient-centered precision medicine using artificial intelligence. Dedicated radiologists with specific training and a close relationship with the referring clinicians will be essential human factors. |
format | Online Article Text |
id | pubmed-10378672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103786722023-07-29 Medical Radiology: Current Progress Pepe, Alessia Crimì, Filippo Vernuccio, Federica Cabrelle, Giulio Lupi, Amalia Zanon, Chiara Gambato, Sebastiano Perazzolo, Anna Quaia, Emilio Diagnostics (Basel) Review Recently, medical radiology has undergone significant improvements in patient management due to advancements in image acquisition by the last generation of machines, data processing, and the integration of artificial intelligence. In this way, cardiovascular imaging is one of the fastest-growing radiological subspecialties. In this study, 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 tissue and functional characterization by CT photon counting, quantitative MR mapping, and 4-D flow. Regarding rectal imaging, advances in cancer imaging 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. The results present a large overview of the approach to the imaging of diffuse and focal liver diseases by US elastography, contrast-enhanced US, quantitative MRI, and CT for patient risk stratification. Italy is currently riding the wave of these improvements. The development of large networks will be crucial to create high-quality databases for patient-centered precision medicine using artificial intelligence. Dedicated radiologists with specific training and a close relationship with the referring clinicians will be essential human factors. MDPI 2023-07-21 /pmc/articles/PMC10378672/ /pubmed/37510183 http://dx.doi.org/10.3390/diagnostics13142439 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Pepe, Alessia Crimì, Filippo Vernuccio, Federica Cabrelle, Giulio Lupi, Amalia Zanon, Chiara Gambato, Sebastiano Perazzolo, Anna Quaia, Emilio Medical Radiology: Current Progress |
title | Medical Radiology: Current Progress |
title_full | Medical Radiology: Current Progress |
title_fullStr | Medical Radiology: Current Progress |
title_full_unstemmed | Medical Radiology: Current Progress |
title_short | Medical Radiology: Current Progress |
title_sort | medical radiology: current progress |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378672/ https://www.ncbi.nlm.nih.gov/pubmed/37510183 http://dx.doi.org/10.3390/diagnostics13142439 |
work_keys_str_mv | AT pepealessia medicalradiologycurrentprogress AT crimifilippo medicalradiologycurrentprogress AT vernucciofederica medicalradiologycurrentprogress AT cabrellegiulio medicalradiologycurrentprogress AT lupiamalia medicalradiologycurrentprogress AT zanonchiara medicalradiologycurrentprogress AT gambatosebastiano medicalradiologycurrentprogress AT perazzoloanna medicalradiologycurrentprogress AT quaiaemilio medicalradiologycurrentprogress |