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Preoperative detection of pleural adhesions using dynamic chest radiography: prospective analysis

BACKGROUND: To plan a surgical approach and predict the operative time or bleeding volume, it is important to determine the presence of pleural adhesions before surgery. Dynamic chest radiography (DCR) is a new modality that can dynamically capture X-rays, and we assessed the utility of DCR for dete...

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Autores principales: Watanabe, Takuya, Suzuki, Eriko, Yoshii, Naoko, Tsuchida, Hiroyuki, Yobita, Shogo, Uchiyama, Suiha, Iguchi, Kensuke, Nakamura, Minori, Endo, Takumi, Tanahashi, Masayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089839/
https://www.ncbi.nlm.nih.gov/pubmed/37065574
http://dx.doi.org/10.21037/jtd-22-1226
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author Watanabe, Takuya
Suzuki, Eriko
Yoshii, Naoko
Tsuchida, Hiroyuki
Yobita, Shogo
Uchiyama, Suiha
Iguchi, Kensuke
Nakamura, Minori
Endo, Takumi
Tanahashi, Masayuki
author_facet Watanabe, Takuya
Suzuki, Eriko
Yoshii, Naoko
Tsuchida, Hiroyuki
Yobita, Shogo
Uchiyama, Suiha
Iguchi, Kensuke
Nakamura, Minori
Endo, Takumi
Tanahashi, Masayuki
author_sort Watanabe, Takuya
collection PubMed
description BACKGROUND: To plan a surgical approach and predict the operative time or bleeding volume, it is important to determine the presence of pleural adhesions before surgery. Dynamic chest radiography (DCR) is a new modality that can dynamically capture X-rays, and we assessed the utility of DCR for detecting pleural adhesions preoperatively. METHODS: The subjects of this study were those who underwent DCR before surgery from January 2020 to May 2022. The preoperative evaluation was performed by three imaging analysis modes, and pleural adhesion was defined as the that spreading to more than 20% of the thoracic cavity and/or taking more than 5 minutes to dissect. RESULTS: Of the 120 total patients, DCR was performed properly for 119 (99.2%). Accurate preoperative evaluations of pleural adhesions were confirmed in 101 patients (84.9%), with a sensitivity of 64.5%, specificity of 91.0%, positive predictive value of 74.1%, and negative predictive value of 88.0%. CONCLUSIONS: DCR was very easy to perform in all preoperative patients with all manner of thoracic disease. We demonstrated the utility of DCR, showing its high specificity and negative predictive value. DCR has the potential to become a common preoperative examination for detecting pleural adhesions with further improvements in software programs.
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spelling pubmed-100898392023-04-13 Preoperative detection of pleural adhesions using dynamic chest radiography: prospective analysis Watanabe, Takuya Suzuki, Eriko Yoshii, Naoko Tsuchida, Hiroyuki Yobita, Shogo Uchiyama, Suiha Iguchi, Kensuke Nakamura, Minori Endo, Takumi Tanahashi, Masayuki J Thorac Dis Original Article BACKGROUND: To plan a surgical approach and predict the operative time or bleeding volume, it is important to determine the presence of pleural adhesions before surgery. Dynamic chest radiography (DCR) is a new modality that can dynamically capture X-rays, and we assessed the utility of DCR for detecting pleural adhesions preoperatively. METHODS: The subjects of this study were those who underwent DCR before surgery from January 2020 to May 2022. The preoperative evaluation was performed by three imaging analysis modes, and pleural adhesion was defined as the that spreading to more than 20% of the thoracic cavity and/or taking more than 5 minutes to dissect. RESULTS: Of the 120 total patients, DCR was performed properly for 119 (99.2%). Accurate preoperative evaluations of pleural adhesions were confirmed in 101 patients (84.9%), with a sensitivity of 64.5%, specificity of 91.0%, positive predictive value of 74.1%, and negative predictive value of 88.0%. CONCLUSIONS: DCR was very easy to perform in all preoperative patients with all manner of thoracic disease. We demonstrated the utility of DCR, showing its high specificity and negative predictive value. DCR has the potential to become a common preoperative examination for detecting pleural adhesions with further improvements in software programs. AME Publishing Company 2023-03-22 2023-03-31 /pmc/articles/PMC10089839/ /pubmed/37065574 http://dx.doi.org/10.21037/jtd-22-1226 Text en 2023 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Watanabe, Takuya
Suzuki, Eriko
Yoshii, Naoko
Tsuchida, Hiroyuki
Yobita, Shogo
Uchiyama, Suiha
Iguchi, Kensuke
Nakamura, Minori
Endo, Takumi
Tanahashi, Masayuki
Preoperative detection of pleural adhesions using dynamic chest radiography: prospective analysis
title Preoperative detection of pleural adhesions using dynamic chest radiography: prospective analysis
title_full Preoperative detection of pleural adhesions using dynamic chest radiography: prospective analysis
title_fullStr Preoperative detection of pleural adhesions using dynamic chest radiography: prospective analysis
title_full_unstemmed Preoperative detection of pleural adhesions using dynamic chest radiography: prospective analysis
title_short Preoperative detection of pleural adhesions using dynamic chest radiography: prospective analysis
title_sort preoperative detection of pleural adhesions using dynamic chest radiography: prospective analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089839/
https://www.ncbi.nlm.nih.gov/pubmed/37065574
http://dx.doi.org/10.21037/jtd-22-1226
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