Background-Aim: Prediction of postoperative FEV1 and diffusion capacity of the lung for carbon monoxide (DLCO) has a key role in the preoperative evaluation of lung resection candidates with impaired lung function. Additionally, dyspnea is a symptom which significantly affects patients’ quality of life. The aim of our study is to evaluate the role of quantitative Computed Tomography (CT) in predicting postoperative FEV1, DLCO, and chronic dyspnea in lung cancer patients undergoing lung resection. Methods: Thirty lung cancer patients were evaluated. Pulmonary function tests (PFTs) and low-dose chest CT scan were performed preoperatively. Fifteen patients (group A) had normal PFTs and fifteen patients (group B) had impaired lung function. Quantitative evaluation of CT using dual threshold of -910 to -500 Hounsfield Units estimated functional lung volumes. Dyspnea was evaluated using the modified Medical Research Council (mMRC) scale. Patients were reevaluated 3 months after surgery. Results: Predicted values of FEV1 and DLCO correlate significantly with the actual postoperative measurements in both groups. DLCO is the lung function index that demonstrates the highest correlation with postoperative dyspnea (r= -0.755, p<0.001). Predicted volume loss correlates well with the postoperative mMRC (r=0.662, p<0.001). Dyspnea score increases by one mMRC score unit per 21% of functional lung parenchyma resected during surgery. Conclusion: Quantitative CT is a valuable tool in the preoperative evaluation of lung cancer patients since it can simultaneously be used for staging, prediction of postoperative lung function, and prediction of postoperative chronic dyspnea.
Published in | Science Journal of Clinical Medicine (Volume 2, Issue 4) |
DOI | 10.11648/j.sjcm.20130204.13 |
Page(s) | 134-140 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2013. Published by Science Publishing Group |
Computed Tomography, Respiratory Function Tests, Pneumonectomy
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APA Style
CV Papageorgiou, Dimosthenis Antoniou, Georgios Kaltsakas, Foteini Karakontaki, Panagiotis Misthos, et al. (2013). Prediction of Postoperative Lung Function and Chronic Dyspnea in Lung Cancer Patients by Using Quantitative Computed Tomography. Science Journal of Clinical Medicine, 2(4), 134-140. https://doi.org/10.11648/j.sjcm.20130204.13
ACS Style
CV Papageorgiou; Dimosthenis Antoniou; Georgios Kaltsakas; Foteini Karakontaki; Panagiotis Misthos, et al. Prediction of Postoperative Lung Function and Chronic Dyspnea in Lung Cancer Patients by Using Quantitative Computed Tomography. Sci. J. Clin. Med. 2013, 2(4), 134-140. doi: 10.11648/j.sjcm.20130204.13
AMA Style
CV Papageorgiou, Dimosthenis Antoniou, Georgios Kaltsakas, Foteini Karakontaki, Panagiotis Misthos, et al. Prediction of Postoperative Lung Function and Chronic Dyspnea in Lung Cancer Patients by Using Quantitative Computed Tomography. Sci J Clin Med. 2013;2(4):134-140. doi: 10.11648/j.sjcm.20130204.13
@article{10.11648/j.sjcm.20130204.13, author = {CV Papageorgiou and Dimosthenis Antoniou and Georgios Kaltsakas and Foteini Karakontaki and Panagiotis Misthos and Iris Tsangaridou and Loukas Thanos and NG Koulouris}, title = {Prediction of Postoperative Lung Function and Chronic Dyspnea in Lung Cancer Patients by Using Quantitative Computed Tomography}, journal = {Science Journal of Clinical Medicine}, volume = {2}, number = {4}, pages = {134-140}, doi = {10.11648/j.sjcm.20130204.13}, url = {https://doi.org/10.11648/j.sjcm.20130204.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjcm.20130204.13}, abstract = {Background-Aim: Prediction of postoperative FEV1 and diffusion capacity of the lung for carbon monoxide (DLCO) has a key role in the preoperative evaluation of lung resection candidates with impaired lung function. Additionally, dyspnea is a symptom which significantly affects patients’ quality of life. The aim of our study is to evaluate the role of quantitative Computed Tomography (CT) in predicting postoperative FEV1, DLCO, and chronic dyspnea in lung cancer patients undergoing lung resection. Methods: Thirty lung cancer patients were evaluated. Pulmonary function tests (PFTs) and low-dose chest CT scan were performed preoperatively. Fifteen patients (group A) had normal PFTs and fifteen patients (group B) had impaired lung function. Quantitative evaluation of CT using dual threshold of -910 to -500 Hounsfield Units estimated functional lung volumes. Dyspnea was evaluated using the modified Medical Research Council (mMRC) scale. Patients were reevaluated 3 months after surgery. Results: Predicted values of FEV1 and DLCO correlate significantly with the actual postoperative measurements in both groups. DLCO is the lung function index that demonstrates the highest correlation with postoperative dyspnea (r= -0.755, p<0.001). Predicted volume loss correlates well with the postoperative mMRC (r=0.662, p<0.001). Dyspnea score increases by one mMRC score unit per 21% of functional lung parenchyma resected during surgery. Conclusion: Quantitative CT is a valuable tool in the preoperative evaluation of lung cancer patients since it can simultaneously be used for staging, prediction of postoperative lung function, and prediction of postoperative chronic dyspnea.}, year = {2013} }
TY - JOUR T1 - Prediction of Postoperative Lung Function and Chronic Dyspnea in Lung Cancer Patients by Using Quantitative Computed Tomography AU - CV Papageorgiou AU - Dimosthenis Antoniou AU - Georgios Kaltsakas AU - Foteini Karakontaki AU - Panagiotis Misthos AU - Iris Tsangaridou AU - Loukas Thanos AU - NG Koulouris Y1 - 2013/07/20 PY - 2013 N1 - https://doi.org/10.11648/j.sjcm.20130204.13 DO - 10.11648/j.sjcm.20130204.13 T2 - Science Journal of Clinical Medicine JF - Science Journal of Clinical Medicine JO - Science Journal of Clinical Medicine SP - 134 EP - 140 PB - Science Publishing Group SN - 2327-2732 UR - https://doi.org/10.11648/j.sjcm.20130204.13 AB - Background-Aim: Prediction of postoperative FEV1 and diffusion capacity of the lung for carbon monoxide (DLCO) has a key role in the preoperative evaluation of lung resection candidates with impaired lung function. Additionally, dyspnea is a symptom which significantly affects patients’ quality of life. The aim of our study is to evaluate the role of quantitative Computed Tomography (CT) in predicting postoperative FEV1, DLCO, and chronic dyspnea in lung cancer patients undergoing lung resection. Methods: Thirty lung cancer patients were evaluated. Pulmonary function tests (PFTs) and low-dose chest CT scan were performed preoperatively. Fifteen patients (group A) had normal PFTs and fifteen patients (group B) had impaired lung function. Quantitative evaluation of CT using dual threshold of -910 to -500 Hounsfield Units estimated functional lung volumes. Dyspnea was evaluated using the modified Medical Research Council (mMRC) scale. Patients were reevaluated 3 months after surgery. Results: Predicted values of FEV1 and DLCO correlate significantly with the actual postoperative measurements in both groups. DLCO is the lung function index that demonstrates the highest correlation with postoperative dyspnea (r= -0.755, p<0.001). Predicted volume loss correlates well with the postoperative mMRC (r=0.662, p<0.001). Dyspnea score increases by one mMRC score unit per 21% of functional lung parenchyma resected during surgery. Conclusion: Quantitative CT is a valuable tool in the preoperative evaluation of lung cancer patients since it can simultaneously be used for staging, prediction of postoperative lung function, and prediction of postoperative chronic dyspnea. VL - 2 IS - 4 ER -