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Preoperative assessment of lung nodules and lobar function by spectral detector computed tomography

Conventional computed tomography (CT) plays an important role in detection of lung nodules. However, further characterization is usually limited requiring additional imaging and invasive work up. Spectral Detector CT (SDCT) is an upcoming novel modality that not only allows morphological evaluation...

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Autores principales: Gupta, Amit, Kikano, Elias George, Gupta, Aekta, Di Felice, Christopher, Gilkeson, Robert, Laukamp, Kai Roman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214771/
https://www.ncbi.nlm.nih.gov/pubmed/32419896
http://dx.doi.org/10.1016/j.radcr.2020.04.049
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author Gupta, Amit
Kikano, Elias George
Gupta, Aekta
Di Felice, Christopher
Gilkeson, Robert
Laukamp, Kai Roman
author_facet Gupta, Amit
Kikano, Elias George
Gupta, Aekta
Di Felice, Christopher
Gilkeson, Robert
Laukamp, Kai Roman
author_sort Gupta, Amit
collection PubMed
description Conventional computed tomography (CT) plays an important role in detection of lung nodules. However, further characterization is usually limited requiring additional imaging and invasive work up. Spectral Detector CT (SDCT) is an upcoming novel modality that not only allows morphological evaluation but also provides insight into prediction of malignant behavior of lung nodules. Additional quantification capabilities available from the same scan make it a more comprehensive imaging option in oncology patients. This is a first case report demonstrating the potential of single SDCT to provide necessary information for lung cancer diagnosis and preoperative planning, comparable to standard of care imaging.
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spelling pubmed-72147712020-05-15 Preoperative assessment of lung nodules and lobar function by spectral detector computed tomography Gupta, Amit Kikano, Elias George Gupta, Aekta Di Felice, Christopher Gilkeson, Robert Laukamp, Kai Roman Radiol Case Rep Chest Conventional computed tomography (CT) plays an important role in detection of lung nodules. However, further characterization is usually limited requiring additional imaging and invasive work up. Spectral Detector CT (SDCT) is an upcoming novel modality that not only allows morphological evaluation but also provides insight into prediction of malignant behavior of lung nodules. Additional quantification capabilities available from the same scan make it a more comprehensive imaging option in oncology patients. This is a first case report demonstrating the potential of single SDCT to provide necessary information for lung cancer diagnosis and preoperative planning, comparable to standard of care imaging. Elsevier 2020-05-07 /pmc/articles/PMC7214771/ /pubmed/32419896 http://dx.doi.org/10.1016/j.radcr.2020.04.049 Text en © 2020 The Authors. Published by Elsevier Inc. on behalf of University of Washington. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Chest
Gupta, Amit
Kikano, Elias George
Gupta, Aekta
Di Felice, Christopher
Gilkeson, Robert
Laukamp, Kai Roman
Preoperative assessment of lung nodules and lobar function by spectral detector computed tomography
title Preoperative assessment of lung nodules and lobar function by spectral detector computed tomography
title_full Preoperative assessment of lung nodules and lobar function by spectral detector computed tomography
title_fullStr Preoperative assessment of lung nodules and lobar function by spectral detector computed tomography
title_full_unstemmed Preoperative assessment of lung nodules and lobar function by spectral detector computed tomography
title_short Preoperative assessment of lung nodules and lobar function by spectral detector computed tomography
title_sort preoperative assessment of lung nodules and lobar function by spectral detector computed tomography
topic Chest
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214771/
https://www.ncbi.nlm.nih.gov/pubmed/32419896
http://dx.doi.org/10.1016/j.radcr.2020.04.049
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