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Computed Tomography Urography: State of the Art and Beyond

Computed Tomography Urography (CTU) is a multiphase CT examination optimized for imaging kidneys, ureters, and bladder, complemented by post-contrast excretory phase imaging. Different protocols are available for contrast administration and image acquisition and timing, with different strengths and...

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Autores principales: Cellina, Michaela, Cè, Maurizio, Rossini, Nicolo’, Cacioppa, Laura Maria, Ascenti, Velio, Carrafiello, Gianpaolo, Floridi, Chiara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204399/
https://www.ncbi.nlm.nih.gov/pubmed/37218935
http://dx.doi.org/10.3390/tomography9030075
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author Cellina, Michaela
Cè, Maurizio
Rossini, Nicolo’
Cacioppa, Laura Maria
Ascenti, Velio
Carrafiello, Gianpaolo
Floridi, Chiara
author_facet Cellina, Michaela
Cè, Maurizio
Rossini, Nicolo’
Cacioppa, Laura Maria
Ascenti, Velio
Carrafiello, Gianpaolo
Floridi, Chiara
author_sort Cellina, Michaela
collection PubMed
description Computed Tomography Urography (CTU) is a multiphase CT examination optimized for imaging kidneys, ureters, and bladder, complemented by post-contrast excretory phase imaging. Different protocols are available for contrast administration and image acquisition and timing, with different strengths and limits, mainly related to kidney enhancement, ureters distension and opacification, and radiation exposure. The availability of new reconstruction algorithms, such as iterative and deep-learning-based reconstruction has dramatically improved the image quality and reducing radiation exposure at the same time. Dual-Energy Computed Tomography also has an important role in this type of examination, with the possibility of renal stone characterization, the availability of synthetic unenhanced phases to reduce radiation dose, and the availability of iodine maps for a better interpretation of renal masses. We also describe the new artificial intelligence applications for CTU, focusing on radiomics to predict tumor grading and patients’ outcome for a personalized therapeutic approach. In this narrative review, we provide a comprehensive overview of CTU from the traditional to the newest acquisition techniques and reconstruction algorithms, and the possibility of advanced imaging interpretation to provide an up-to-date guide for radiologists who want to better comprehend this technique.
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spelling pubmed-102043992023-05-24 Computed Tomography Urography: State of the Art and Beyond Cellina, Michaela Cè, Maurizio Rossini, Nicolo’ Cacioppa, Laura Maria Ascenti, Velio Carrafiello, Gianpaolo Floridi, Chiara Tomography Review Computed Tomography Urography (CTU) is a multiphase CT examination optimized for imaging kidneys, ureters, and bladder, complemented by post-contrast excretory phase imaging. Different protocols are available for contrast administration and image acquisition and timing, with different strengths and limits, mainly related to kidney enhancement, ureters distension and opacification, and radiation exposure. The availability of new reconstruction algorithms, such as iterative and deep-learning-based reconstruction has dramatically improved the image quality and reducing radiation exposure at the same time. Dual-Energy Computed Tomography also has an important role in this type of examination, with the possibility of renal stone characterization, the availability of synthetic unenhanced phases to reduce radiation dose, and the availability of iodine maps for a better interpretation of renal masses. We also describe the new artificial intelligence applications for CTU, focusing on radiomics to predict tumor grading and patients’ outcome for a personalized therapeutic approach. In this narrative review, we provide a comprehensive overview of CTU from the traditional to the newest acquisition techniques and reconstruction algorithms, and the possibility of advanced imaging interpretation to provide an up-to-date guide for radiologists who want to better comprehend this technique. MDPI 2023-04-30 /pmc/articles/PMC10204399/ /pubmed/37218935 http://dx.doi.org/10.3390/tomography9030075 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
Cellina, Michaela
Cè, Maurizio
Rossini, Nicolo’
Cacioppa, Laura Maria
Ascenti, Velio
Carrafiello, Gianpaolo
Floridi, Chiara
Computed Tomography Urography: State of the Art and Beyond
title Computed Tomography Urography: State of the Art and Beyond
title_full Computed Tomography Urography: State of the Art and Beyond
title_fullStr Computed Tomography Urography: State of the Art and Beyond
title_full_unstemmed Computed Tomography Urography: State of the Art and Beyond
title_short Computed Tomography Urography: State of the Art and Beyond
title_sort computed tomography urography: state of the art and beyond
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204399/
https://www.ncbi.nlm.nih.gov/pubmed/37218935
http://dx.doi.org/10.3390/tomography9030075
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