RESEARCH ARTICLE
CT Densitometry as a Predictor of Pulmonary Function in Lung Cancer Patients
Fiachra Moloney*, 1, Sebastian McWilliams1, Lee Crush1, Patrick D Mc Laughlin1, Marcus Kenneddy2, Michael Henry2, OJ O’ Connor1, Michael M Maher1
Article Information
Identifiers and Pagination:
Year: 2012Volume: 6
First Page: 139
Last Page: 144
Publisher ID: TORMJ-6-139
DOI: 10.2174/1874306401206010139
Article History:
Received Date: 31/7/2012Revision Received Date: 16/10/2012
Acceptance Date: 14/11/2012
Electronic publication date: 11/12/2012
Collection year: 2012
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Abstract
Purpose:
Preoperative pulmonary assessment is undertaken in patients with resectable lung cancer to identify those at increased risk of perioperative complications. Guidelines from the American College of Chest Physicians indicate that if the FEV1 and DLCO are ≥60% of predicted, patients are suitable for resection without further evaluation.
The aim of our study is to determine if quantitative measures of lung volume and density obtained from pre-operative CT scans correlate with pulmonary function tests. This may allow us to predict pulmonary function in patients with lung cancer and identify patients who would tolerate surgical resection.
Materials and Methods:
Patients were identified retrospectively from the lung cancer database of a tertiary hospital. Image segmentation software was utilized to estimate total lung volume, normal lung volume (values -500 HU to -910 HU), emphysematous volume (values less than -910 HU), and mean lung density from pre-operative CT studies for each patient and these values were compared to contemporaneous pulmonary function tests.
Results:
A total of 77 patients were enrolled. FEV1 was found to correlate significantly with the mean lung density (r=.762, p<.001) and the volume of emphysema (r= -.678, p<.001). DLCO correlated significantly with the mean lung density (r =.648, p<.001) and the volume of emphysematous lung (r= -.535, p<.001).
Conclusion:
The results of this study suggest that both FEV1 and DLCO correlate significantly with volume of emphysema and mean lung density. We now plan to prospectively compare these CT parameters with measures of good and poor outcome postoperatively to identify CT measures that may predict surgical outcome preoperatively
