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Dual-layer spectral CT fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information?

The increasingly widespread use of computed tomography (CT) has increased the number of detected lung lesions, which are then subjected to needle biopsy to obtain histopathological diagnosis. Obtaining high-quality biopsy specimens is fundamental for diagnosis and biomolecular characterisation that...

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Autores principales: Curti, Marco, Fontana, Federico, Piacentino, Filippo, Ossola, Christian, Coppola, Andrea, Carcano, Giulio, Venturini, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376184/
https://www.ncbi.nlm.nih.gov/pubmed/35965267
http://dx.doi.org/10.1186/s41747-022-00290-0
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author Curti, Marco
Fontana, Federico
Piacentino, Filippo
Ossola, Christian
Coppola, Andrea
Carcano, Giulio
Venturini, Massimo
author_facet Curti, Marco
Fontana, Federico
Piacentino, Filippo
Ossola, Christian
Coppola, Andrea
Carcano, Giulio
Venturini, Massimo
author_sort Curti, Marco
collection PubMed
description The increasingly widespread use of computed tomography (CT) has increased the number of detected lung lesions, which are then subjected to needle biopsy to obtain histopathological diagnosis. Obtaining high-quality biopsy specimens is fundamental for diagnosis and biomolecular characterisation that guide therapy decision-making. In order to obtain samples with high diagnostic potential, fusion imaging techniques, such as fusion between positron emission tomography and CT, have been introduced to target the biopsy where there more viable neoplastic cells can be sampled. Nowadays, dual-layer spectral CT represents a novel technology enabling an increased tissue characterisation. In particular, Z-effective images, i.e., colour-coded images based on the effective atomic number of tissue components, provide a higher level of discrimination than usual imaged based on x-ray attenuation in Hounsfield units and offer the potential of a better tissue characterisation. Our hypothesis is based on the future use of data provided by spectral CT, in particular by Z-effective images, as a guide for appropriate biopsy sampling for histopathological and biomolecular characterisation in the era of patient tailored-therapy.
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spelling pubmed-93761842022-08-16 Dual-layer spectral CT fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information? Curti, Marco Fontana, Federico Piacentino, Filippo Ossola, Christian Coppola, Andrea Carcano, Giulio Venturini, Massimo Eur Radiol Exp Hypothesis The increasingly widespread use of computed tomography (CT) has increased the number of detected lung lesions, which are then subjected to needle biopsy to obtain histopathological diagnosis. Obtaining high-quality biopsy specimens is fundamental for diagnosis and biomolecular characterisation that guide therapy decision-making. In order to obtain samples with high diagnostic potential, fusion imaging techniques, such as fusion between positron emission tomography and CT, have been introduced to target the biopsy where there more viable neoplastic cells can be sampled. Nowadays, dual-layer spectral CT represents a novel technology enabling an increased tissue characterisation. In particular, Z-effective images, i.e., colour-coded images based on the effective atomic number of tissue components, provide a higher level of discrimination than usual imaged based on x-ray attenuation in Hounsfield units and offer the potential of a better tissue characterisation. Our hypothesis is based on the future use of data provided by spectral CT, in particular by Z-effective images, as a guide for appropriate biopsy sampling for histopathological and biomolecular characterisation in the era of patient tailored-therapy. Springer Vienna 2022-08-15 /pmc/articles/PMC9376184/ /pubmed/35965267 http://dx.doi.org/10.1186/s41747-022-00290-0 Text en © The Author(s) under exclusive licence to European Society of Radiology 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Hypothesis
Curti, Marco
Fontana, Federico
Piacentino, Filippo
Ossola, Christian
Coppola, Andrea
Carcano, Giulio
Venturini, Massimo
Dual-layer spectral CT fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information?
title Dual-layer spectral CT fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information?
title_full Dual-layer spectral CT fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information?
title_fullStr Dual-layer spectral CT fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information?
title_full_unstemmed Dual-layer spectral CT fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information?
title_short Dual-layer spectral CT fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information?
title_sort dual-layer spectral ct fusion imaging for lung biopsies: more accurate targets, diagnostic samplings, and biomarker information?
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376184/
https://www.ncbi.nlm.nih.gov/pubmed/35965267
http://dx.doi.org/10.1186/s41747-022-00290-0
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