Literature DB >> 27776646

Prediction of post-operative pulmonary function after lobectomy for primary lung cancer: A comparison among counting method, effective lobar volume, and lobar collapsibility using inspiratory/expiratory CT.

Hidetake Yabuuchi1, Satoshi Kawanami2, Takeshi Kamitani3, Masato Yonezawa4, Yuzo Yamasaki5, Torahiko Yamanouchi6, Michinobu Nagao7, Tatsuro Okamoto8, Hiroshi Honda9.   

Abstract

PURPOSE: To compare the predictabilities of postoperative pulmonary function after lobectomy for primary lung cancer among counting method, effective lobar volume, and lobar collapsibility.
METHODS: Forty-nine patients who underwent lobectomy for primary lung cancer were enrolled. All patients underwent inspiratory/expiratory CT and pulmonary function tests 2 weeks before surgery and postoperative pulmonary function tests 6-7 months after surgery. Pulmonary function losses (ΔFEV1.0 and ΔVC) were calculated from the pulmonary function tests. Predictive postoperative pulmonary function losses (ppoΔFEV1.0 and ppoΔVC) were calculated using counting method, effective volume, and lobar collapsibility. Correlations and agreements between ΔFEV1.0 and ppoFEV1.0 and those between ΔVC and ppoΔVC were tested among three methods using Spearman's correlation coefficient and Bland-Altman plots.
RESULTS: ΔFEV1.0 and ppoΔFEV1.0insp-exp were strongly correlated (r=0.72), whereas ΔFEV1.0 and ppoΔFEV1.0count and ΔFEV1.0 and Pred. ΔFEV1.0eff.vol. were moderately correlated (r=0.50, 0.56). ΔVC and ppoΔVCeff.vol. (r=0.71) were strongly correlated, whereas ΔVC and ppoΔVCcount, and ΔVC and ppoΔVC insp-exp were moderately correlated (r=0.55, 0.42).
CONCLUSIONS: Volumetry from inspiratory/expiratory CT data could be useful to predict postoperative pulmonary function after lobectomy for primary lung cancer.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Forecasting; Lung neoplasms; Lung volume measurement; Multidetector computed tomography; Respiratory function tests

Mesh:

Year:  2016        PMID: 27776646     DOI: 10.1016/j.ejrad.2016.08.017

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  6 in total

Review 1.  CT Radiomics in Thoracic Oncology: Technique and Clinical Applications.

Authors:  Geewon Lee; So Hyeon Bak; Ho Yun Lee
Journal:  Nucl Med Mol Imaging       Date:  2017-12-18

2.  Impact of mild to moderate COPD on feasibility and prognosis in non-small cell lung cancer patients who received chemotherapy.

Authors:  Norihito Omote; Naozumi Hashimoto; Masahiro Morise; Koji Sakamoto; Shinichi Miyazaki; Akira Ando; Yoshio Nakahara; Yoshinori Hasegawa
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2017-12-11

3.  Unilateral Chronic Lung Allograft Dysfunction Assessed by Biphasic Computed Tomographic Volumetry in Bilateral Living-donor Lobar Lung Transplantation.

Authors:  Masao Saito; Toyofumi F Chen-Yoshikawa; Yuji Nakamoto; Hidenao Kayawake; Junko Tokuno; Satoshi Ueda; Hiroya Yamagishi; Fumiaki Gochi; Ryo Okabe; Akihiro Takahagi; Masatsugu Hamaji; Hideki Motoyama; Akihiro Aoyama; Hiroshi Date
Journal:  Transplant Direct       Date:  2018-10-12

4.  Predicting Postoperative Lung Function Following Lung Cancer Resection: A Systematic Review and Meta-analysis.

Authors:  Nicola K Oswald; James Halle-Smith; Rana Mehdi; Peter Nightingale; Babu Naidu; Alice M Turner
Journal:  EClinicalMedicine       Date:  2019-09-10

Review 5.  What Do We Talk About Now When We Talk About Segmentectomy for GGO?

Authors:  Hanyue Li; Chen Shen; Yang Chen; Yiyang Wang; Chenxi Zhong; Wentao Fang
Journal:  Front Surg       Date:  2022-02-15

6.  A Modified Calculation Improves the Accuracy of Predicted Postoperative Lung Function Values in Lung Cancer Patients.

Authors:  G Schlachtenberger; F Doerr; H Menghesha; L Hagmeyer; T Leschczyk; C Gaisendrees; M Michel; T Wahlers; K Hekmat; M B Heldwein
Journal:  Lung       Date:  2021-08-13       Impact factor: 2.584

  6 in total

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