Cargando…

Dynamic perfusion digital radiography for predicting pulmonary function after lung cancer resection

BACKGROUND: Accurate prediction of postoperative pulmonary function is important for ensuring the safety of patients undergoing radical resection for lung cancer. Dynamic perfusion digital radiography is an excellent and easy imaging method for detecting blood flow in the lung compared with the less...

Descripción completa

Detalles Bibliográficos
Autores principales: Hanaoka, Jun, Yoden, Makoto, Hayashi, Kazuki, Shiratori, Takuya, Okamoto, Keigo, Kaku, Ryosuke, Kawaguchi, Yo, Ohshio, Yasuhiko, Sonoda, Akinaga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874664/
https://www.ncbi.nlm.nih.gov/pubmed/33563295
http://dx.doi.org/10.1186/s12957-021-02158-w
_version_ 1783649631308087296
author Hanaoka, Jun
Yoden, Makoto
Hayashi, Kazuki
Shiratori, Takuya
Okamoto, Keigo
Kaku, Ryosuke
Kawaguchi, Yo
Ohshio, Yasuhiko
Sonoda, Akinaga
author_facet Hanaoka, Jun
Yoden, Makoto
Hayashi, Kazuki
Shiratori, Takuya
Okamoto, Keigo
Kaku, Ryosuke
Kawaguchi, Yo
Ohshio, Yasuhiko
Sonoda, Akinaga
author_sort Hanaoka, Jun
collection PubMed
description BACKGROUND: Accurate prediction of postoperative pulmonary function is important for ensuring the safety of patients undergoing radical resection for lung cancer. Dynamic perfusion digital radiography is an excellent and easy imaging method for detecting blood flow in the lung compared with the less-convenient conventional lung perfusion scintigraphy. As such, the present study aimed to confirm whether dynamic perfusion digital radiography can be evaluated in comparison with pulmonary perfusion scintigraphy in predicting early postoperative pulmonary function and complications. METHODS: Dynamic perfusion digital radiography and spirometry were performed before and 1 and 3 months after radical resection for lung cancer. Correlation coefficients between blood flow ratios calculated using dynamic perfusion digital radiography and pulmonary perfusion scintigraphy were then confirmed in the same cases. In all patients who underwent dynamic perfusion digital radiography, the correlation predicted values calculated from the blood flow ratio, and measured values were examined. Furthermore, ppo%FEV1 or ppo%DLco values, which indicated the risk for perioperative complications, were examined. RESULTS: A total of 52 participants who satisfied the inclusion criteria were analyzed. Blood flow ratios measured using pulmonary perfusion scintigraphy and dynamic perfusion digital radiography showed excellent correlation and acceptable predictive accuracy. Correlation coefficients between predicted FEV1 values obtained from dynamic perfusion digital radiography or pulmonary perfusion scintigraphy and actual measured values were similar. All patients who underwent dynamic perfusion digital radiography showed excellent correlation between predicted values and those measured using spirometry. A significant difference in ppo%DLco was observed for respiratory complications but not cardiovascular complications. CONCLUSIONS: Our study demonstrated that dynamic perfusion digital radiography can be a suitable alternative to pulmonary perfusion scintigraphy given its ability for predicting postoperative values and the risk for postoperative respiratory complications. Furthermore, it seemed to be an excellent modality because of its advantages, such as simplicity, low cost, and ease in obtaining in-depth respiratory functional information. TRIAL REGISTRATION: Registered at UMIN on October 25, 2017. https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr_his_list.cgi?recptno=R000033957 Registration number: UMIN000029716 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-021-02158-w.
format Online
Article
Text
id pubmed-7874664
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-78746642021-02-11 Dynamic perfusion digital radiography for predicting pulmonary function after lung cancer resection Hanaoka, Jun Yoden, Makoto Hayashi, Kazuki Shiratori, Takuya Okamoto, Keigo Kaku, Ryosuke Kawaguchi, Yo Ohshio, Yasuhiko Sonoda, Akinaga World J Surg Oncol Research BACKGROUND: Accurate prediction of postoperative pulmonary function is important for ensuring the safety of patients undergoing radical resection for lung cancer. Dynamic perfusion digital radiography is an excellent and easy imaging method for detecting blood flow in the lung compared with the less-convenient conventional lung perfusion scintigraphy. As such, the present study aimed to confirm whether dynamic perfusion digital radiography can be evaluated in comparison with pulmonary perfusion scintigraphy in predicting early postoperative pulmonary function and complications. METHODS: Dynamic perfusion digital radiography and spirometry were performed before and 1 and 3 months after radical resection for lung cancer. Correlation coefficients between blood flow ratios calculated using dynamic perfusion digital radiography and pulmonary perfusion scintigraphy were then confirmed in the same cases. In all patients who underwent dynamic perfusion digital radiography, the correlation predicted values calculated from the blood flow ratio, and measured values were examined. Furthermore, ppo%FEV1 or ppo%DLco values, which indicated the risk for perioperative complications, were examined. RESULTS: A total of 52 participants who satisfied the inclusion criteria were analyzed. Blood flow ratios measured using pulmonary perfusion scintigraphy and dynamic perfusion digital radiography showed excellent correlation and acceptable predictive accuracy. Correlation coefficients between predicted FEV1 values obtained from dynamic perfusion digital radiography or pulmonary perfusion scintigraphy and actual measured values were similar. All patients who underwent dynamic perfusion digital radiography showed excellent correlation between predicted values and those measured using spirometry. A significant difference in ppo%DLco was observed for respiratory complications but not cardiovascular complications. CONCLUSIONS: Our study demonstrated that dynamic perfusion digital radiography can be a suitable alternative to pulmonary perfusion scintigraphy given its ability for predicting postoperative values and the risk for postoperative respiratory complications. Furthermore, it seemed to be an excellent modality because of its advantages, such as simplicity, low cost, and ease in obtaining in-depth respiratory functional information. TRIAL REGISTRATION: Registered at UMIN on October 25, 2017. https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr_his_list.cgi?recptno=R000033957 Registration number: UMIN000029716 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-021-02158-w. BioMed Central 2021-02-09 /pmc/articles/PMC7874664/ /pubmed/33563295 http://dx.doi.org/10.1186/s12957-021-02158-w Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Hanaoka, Jun
Yoden, Makoto
Hayashi, Kazuki
Shiratori, Takuya
Okamoto, Keigo
Kaku, Ryosuke
Kawaguchi, Yo
Ohshio, Yasuhiko
Sonoda, Akinaga
Dynamic perfusion digital radiography for predicting pulmonary function after lung cancer resection
title Dynamic perfusion digital radiography for predicting pulmonary function after lung cancer resection
title_full Dynamic perfusion digital radiography for predicting pulmonary function after lung cancer resection
title_fullStr Dynamic perfusion digital radiography for predicting pulmonary function after lung cancer resection
title_full_unstemmed Dynamic perfusion digital radiography for predicting pulmonary function after lung cancer resection
title_short Dynamic perfusion digital radiography for predicting pulmonary function after lung cancer resection
title_sort dynamic perfusion digital radiography for predicting pulmonary function after lung cancer resection
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874664/
https://www.ncbi.nlm.nih.gov/pubmed/33563295
http://dx.doi.org/10.1186/s12957-021-02158-w
work_keys_str_mv AT hanaokajun dynamicperfusiondigitalradiographyforpredictingpulmonaryfunctionafterlungcancerresection
AT yodenmakoto dynamicperfusiondigitalradiographyforpredictingpulmonaryfunctionafterlungcancerresection
AT hayashikazuki dynamicperfusiondigitalradiographyforpredictingpulmonaryfunctionafterlungcancerresection
AT shiratoritakuya dynamicperfusiondigitalradiographyforpredictingpulmonaryfunctionafterlungcancerresection
AT okamotokeigo dynamicperfusiondigitalradiographyforpredictingpulmonaryfunctionafterlungcancerresection
AT kakuryosuke dynamicperfusiondigitalradiographyforpredictingpulmonaryfunctionafterlungcancerresection
AT kawaguchiyo dynamicperfusiondigitalradiographyforpredictingpulmonaryfunctionafterlungcancerresection
AT ohshioyasuhiko dynamicperfusiondigitalradiographyforpredictingpulmonaryfunctionafterlungcancerresection
AT sonodaakinaga dynamicperfusiondigitalradiographyforpredictingpulmonaryfunctionafterlungcancerresection