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State of the Art: Lung Cancer Staging Using Updated Imaging Modalities
Lung cancer is among the most common mortality causes worldwide. This scientific article is a comprehensive review of current knowledge regarding screening, subtyping, imaging, staging, and management of treatment response for lung cancer. The traditional imaging modality for screening and initial l...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598500/ https://www.ncbi.nlm.nih.gov/pubmed/36290461 http://dx.doi.org/10.3390/bioengineering9100493 |
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author | Batouty, Nihal M. Saleh, Gehad A. Sharafeldeen, Ahmed Kandil, Heba Mahmoud, Ali Shalaby, Ahmed Yaghi, Maha Khelifi, Adel Ghazal, Mohammed El-Baz, Ayman |
author_facet | Batouty, Nihal M. Saleh, Gehad A. Sharafeldeen, Ahmed Kandil, Heba Mahmoud, Ali Shalaby, Ahmed Yaghi, Maha Khelifi, Adel Ghazal, Mohammed El-Baz, Ayman |
author_sort | Batouty, Nihal M. |
collection | PubMed |
description | Lung cancer is among the most common mortality causes worldwide. This scientific article is a comprehensive review of current knowledge regarding screening, subtyping, imaging, staging, and management of treatment response for lung cancer. The traditional imaging modality for screening and initial lung cancer diagnosis is computed tomography (CT). Recently, a dual-energy CT was proven to enhance the categorization of variable pulmonary lesions. The National Comprehensive Cancer Network (NCCN) recommends usage of fluorodeoxyglucose positron emission tomography (FDG PET) in concert with CT to properly stage lung cancer and to prevent fruitless thoracotomies. Diffusion MR is an alternative to FDG PET/CT that is radiation-free and has a comparable diagnostic performance. For response evaluation after treatment, FDG PET/CT is a potent modality which predicts survival better than CT. Updated knowledge of lung cancer genomic abnormalities and treatment regimens helps to improve the radiologists’ skills. Incorporating the radiologic experience is crucial for precise diagnosis, therapy planning, and surveillance of lung cancer. |
format | Online Article Text |
id | pubmed-9598500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95985002022-10-27 State of the Art: Lung Cancer Staging Using Updated Imaging Modalities Batouty, Nihal M. Saleh, Gehad A. Sharafeldeen, Ahmed Kandil, Heba Mahmoud, Ali Shalaby, Ahmed Yaghi, Maha Khelifi, Adel Ghazal, Mohammed El-Baz, Ayman Bioengineering (Basel) Review Lung cancer is among the most common mortality causes worldwide. This scientific article is a comprehensive review of current knowledge regarding screening, subtyping, imaging, staging, and management of treatment response for lung cancer. The traditional imaging modality for screening and initial lung cancer diagnosis is computed tomography (CT). Recently, a dual-energy CT was proven to enhance the categorization of variable pulmonary lesions. The National Comprehensive Cancer Network (NCCN) recommends usage of fluorodeoxyglucose positron emission tomography (FDG PET) in concert with CT to properly stage lung cancer and to prevent fruitless thoracotomies. Diffusion MR is an alternative to FDG PET/CT that is radiation-free and has a comparable diagnostic performance. For response evaluation after treatment, FDG PET/CT is a potent modality which predicts survival better than CT. Updated knowledge of lung cancer genomic abnormalities and treatment regimens helps to improve the radiologists’ skills. Incorporating the radiologic experience is crucial for precise diagnosis, therapy planning, and surveillance of lung cancer. MDPI 2022-09-22 /pmc/articles/PMC9598500/ /pubmed/36290461 http://dx.doi.org/10.3390/bioengineering9100493 Text en © 2022 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 Batouty, Nihal M. Saleh, Gehad A. Sharafeldeen, Ahmed Kandil, Heba Mahmoud, Ali Shalaby, Ahmed Yaghi, Maha Khelifi, Adel Ghazal, Mohammed El-Baz, Ayman State of the Art: Lung Cancer Staging Using Updated Imaging Modalities |
title | State of the Art: Lung Cancer Staging Using Updated Imaging Modalities |
title_full | State of the Art: Lung Cancer Staging Using Updated Imaging Modalities |
title_fullStr | State of the Art: Lung Cancer Staging Using Updated Imaging Modalities |
title_full_unstemmed | State of the Art: Lung Cancer Staging Using Updated Imaging Modalities |
title_short | State of the Art: Lung Cancer Staging Using Updated Imaging Modalities |
title_sort | state of the art: lung cancer staging using updated imaging modalities |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598500/ https://www.ncbi.nlm.nih.gov/pubmed/36290461 http://dx.doi.org/10.3390/bioengineering9100493 |
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