Literature DB >> 28583629

Evaluation of postoperative lung volume and perfusion changes by dual-energy computed tomography in patients with lung cancer.

Jooae Choe1, Sang Min Lee4, Eun Jin Chae3, Sang Min Lee4, Yong-Hee Kim5, Namkug Kim6, Joon Beom Seo7.   

Abstract

PURPOSE: The aim of our study was to retrospectively evaluate postoperative physiologic changes in lung cancer patients using dual-energy CT (DECT), and develop modified methods reflecting postoperative change for predicting pulmonary function. METHODS AND MATERIALS: 88 patients (M:F=64:24; mean age, 63.5 years) with lung cancer who underwent DECT and pulmonary function tests before and after operation were included. Volume and iodine values for perfusion of each lobe were quantified. The predicted postoperative FEV1 using the current method was calculated by multiplying the preoperative FEV1 by the fractional contribution of perfusion of the remaining lung. The modified method reflecting postoperative volume change was compared to the current method.
RESULTS: Postoperative lung volume showed compensatory increases in the contralateral and remaining ipsilateral lobes, with a significantly greater increase in the ipsilateral lobe than contralateral lobe (21.8%±46.2% vs. 10.0%±20.8%, P=0.031). Perfusion analysis showed blood volume increases in both ipsilateral and contralateral lobes without statistical differences (blood volume ratio difference, 29.2%±26.7 vs. 24.6%±16.5, P=0.368). The performance of the modified method considering postoperative lung volume change was comparable to that of the current method in the development and validation datasets (95% CI, -24.5% to 37.1% vs. -33.3% to 22.2% and -23.6% to 32.0% vs. -31.9% to 16.0%, respectively).
CONCLUSIONS: Postoperative compensatory increases in lung volume and perfusion occur in different ways. Our modified method incorporating postoperative lung volume changes can be considered a comparable method for prediction of postoperative lung function.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dual-energy CT; Lung cancer; Physiologic change; Quantitative imaging; Surgery

Mesh:

Year:  2017        PMID: 28583629     DOI: 10.1016/j.ejrad.2017.02.040

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


  5 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.  Complication and lung function impairment prediction using perfusion and computed tomography air trapping (CLIPPCAIR): protocol for the development and validation of a novel multivariable model for the prediction of post-resection lung function.

Authors:  Carey Meredith Suehs; Laurence Solovei; Kheira Hireche; Isabelle Vachier; Denis Mariano Goulart; Lucie Gamon; Jérémy Charriot; Isabelle Serre; Nicolas Molinari; Arnaud Bourdin; Sébastien Bommart
Journal:  Ann Transl Med       Date:  2021-07

3.  A preliminary study identifies early postoperative lung volume changes in patients with non-small cell lung cancer following video-assisted thoracic surgery using CT volumetry.

Authors:  Xiaojun Du; Haojun Li; Langbo Liu; Min Zhang; Zhongben Tang; Jian Zhang; Peng Lin; Hong Xie; Cheng Chen
Journal:  Mol Clin Oncol       Date:  2021-04-22

4.  Structural and functional alterations of the tracheobronchial tree after left upper pulmonary lobectomy for lung cancer.

Authors:  Qingtao Gu; Shouliang Qi; Yong Yue; Jing Shen; Baihua Zhang; Wei Sun; Wei Qian; Mohammad Saidul Islam; Suvash C Saha; Jianlin Wu
Journal:  Biomed Eng Online       Date:  2019-10-25       Impact factor: 2.819

5.  Preoperative assessment of lung nodules and lobar function by spectral detector computed tomography.

Authors:  Amit Gupta; Elias George Kikano; Aekta Gupta; Christopher Di Felice; Robert Gilkeson; Kai Roman Laukamp
Journal:  Radiol Case Rep       Date:  2020-05-07
  5 in total

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