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Area-Detector Computed Tomography for Pulmonary Functional Imaging
An area-detector CT (ADCT) has a 320-detector row and can obtain isotropic volume data without helical scanning within an area of nearly 160 mm. The actual-perfusion CT data within this area can, thus, be obtained by means of continuous dynamic scanning for the qualitative or quantitative evaluation...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416899/ https://www.ncbi.nlm.nih.gov/pubmed/37568881 http://dx.doi.org/10.3390/diagnostics13152518 |
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author | Ohno, Yoshiharu Ozawa, Yoshiyuki Nagata, Hiroyuki Bando, Shuji Cong, Shang Takahashi, Tomoki Oshima, Yuka Hamabuchi, Nayu Matsuyama, Takahiro Ueda, Takahiro Yoshikawa, Takeshi Takenaka, Daisuke Toyama, Hiroshi |
author_facet | Ohno, Yoshiharu Ozawa, Yoshiyuki Nagata, Hiroyuki Bando, Shuji Cong, Shang Takahashi, Tomoki Oshima, Yuka Hamabuchi, Nayu Matsuyama, Takahiro Ueda, Takahiro Yoshikawa, Takeshi Takenaka, Daisuke Toyama, Hiroshi |
author_sort | Ohno, Yoshiharu |
collection | PubMed |
description | An area-detector CT (ADCT) has a 320-detector row and can obtain isotropic volume data without helical scanning within an area of nearly 160 mm. The actual-perfusion CT data within this area can, thus, be obtained by means of continuous dynamic scanning for the qualitative or quantitative evaluation of regional perfusion within nodules, lymph nodes, or tumors. Moreover, this system can obtain CT data with not only helical but also step-and-shoot or wide-volume scanning for body CT imaging. ADCT also has the potential to use dual-energy CT and subtraction CT to enable contrast-enhanced visualization by means of not only iodine but also xenon or krypton for functional evaluations. Therefore, systems using ADCT may be able to function as a pulmonary functional imaging tool. This review is intended to help the reader understand, with study results published during the last a few decades, the basic or clinical evidence about (1) newly applied reconstruction methods for radiation dose reduction for functional ADCT, (2) morphology-based pulmonary functional imaging, (3) pulmonary perfusion evaluation, (4) ventilation assessment, and (5) biomechanical evaluation. |
format | Online Article Text |
id | pubmed-10416899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104168992023-08-12 Area-Detector Computed Tomography for Pulmonary Functional Imaging Ohno, Yoshiharu Ozawa, Yoshiyuki Nagata, Hiroyuki Bando, Shuji Cong, Shang Takahashi, Tomoki Oshima, Yuka Hamabuchi, Nayu Matsuyama, Takahiro Ueda, Takahiro Yoshikawa, Takeshi Takenaka, Daisuke Toyama, Hiroshi Diagnostics (Basel) Review An area-detector CT (ADCT) has a 320-detector row and can obtain isotropic volume data without helical scanning within an area of nearly 160 mm. The actual-perfusion CT data within this area can, thus, be obtained by means of continuous dynamic scanning for the qualitative or quantitative evaluation of regional perfusion within nodules, lymph nodes, or tumors. Moreover, this system can obtain CT data with not only helical but also step-and-shoot or wide-volume scanning for body CT imaging. ADCT also has the potential to use dual-energy CT and subtraction CT to enable contrast-enhanced visualization by means of not only iodine but also xenon or krypton for functional evaluations. Therefore, systems using ADCT may be able to function as a pulmonary functional imaging tool. This review is intended to help the reader understand, with study results published during the last a few decades, the basic or clinical evidence about (1) newly applied reconstruction methods for radiation dose reduction for functional ADCT, (2) morphology-based pulmonary functional imaging, (3) pulmonary perfusion evaluation, (4) ventilation assessment, and (5) biomechanical evaluation. MDPI 2023-07-28 /pmc/articles/PMC10416899/ /pubmed/37568881 http://dx.doi.org/10.3390/diagnostics13152518 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 Ohno, Yoshiharu Ozawa, Yoshiyuki Nagata, Hiroyuki Bando, Shuji Cong, Shang Takahashi, Tomoki Oshima, Yuka Hamabuchi, Nayu Matsuyama, Takahiro Ueda, Takahiro Yoshikawa, Takeshi Takenaka, Daisuke Toyama, Hiroshi Area-Detector Computed Tomography for Pulmonary Functional Imaging |
title | Area-Detector Computed Tomography for Pulmonary Functional Imaging |
title_full | Area-Detector Computed Tomography for Pulmonary Functional Imaging |
title_fullStr | Area-Detector Computed Tomography for Pulmonary Functional Imaging |
title_full_unstemmed | Area-Detector Computed Tomography for Pulmonary Functional Imaging |
title_short | Area-Detector Computed Tomography for Pulmonary Functional Imaging |
title_sort | area-detector computed tomography for pulmonary functional imaging |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416899/ https://www.ncbi.nlm.nih.gov/pubmed/37568881 http://dx.doi.org/10.3390/diagnostics13152518 |
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