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      CT Densitometry as a Predictor of Pulmonary Function in Lung Cancer Patients

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          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 FEV 1 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

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          Most cited references18

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          The IASLC Lung Cancer Staging Project: proposals for the revision of the T descriptors in the forthcoming (seventh) edition of the TNM classification for lung cancer.

          To propose changes in the seventh revision of the tumor, node, metastasis (TNM) classification for lung cancer. Data on 100,869 patients were submitted to the international database, and data for 18,198 of these patients fulfilled the inclusion criteria for the T component analysis. Survival was calculated for clinical and pathologic T1, T2, T3, T4NOMO completely resected (R0), and for each T descriptor. A running log-rank test was used to assess cutpoints by tumor size. Results were internally and externally validated. On the basis of the optimal cutpoints, pT1NOR0 was divided into pT1a 2 to 3 cm (n = 1653) with 5-year survival rates of 77 and 71% (p 3 to 5 cm (n = 2822), pT2b >5 to 7 cm (n = 825), and pT2c >7 cm (n = 364). Their 5-year survival rates were 58, 49, and 35% (p < 0.0001). For clinically staged N0, 5-year survival was 53% for cT1a, 47% for cT1b, 43% for cT2a, 36% for cT2b, and 26% for cT2c. pT3NO (n = 711) and pT4 (any N) (n = 340) had 5-year survival rates of 38 and 22%. pT4 (additional nodule(s) in the same lobe) (n = 363) had a 5-year survival rate of 28%, similar to pT3 (p = 0.28) and better than other pT4 (p = 0.0029). For pM1 (ipsilateral pulmonary nodules) (n = 180), 5-year survival was 22%, similar to pT4. For cT4-malignant pleural effusion/nodules, 5-year survival was 2%. Recommended changes in the T classification are to subclassify T1 into T1a and T1b, and T2 into T2a and T2b; and to reclassify T2c and additional nodule(s) in the same lobe as T3, nodule(s) in the ipsilateral nonprimary lobe as T4, and malignant pleural or pericardial effusions as M1.
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            "Density mask". An objective method to quantitate emphysema using computed tomography.

            We used a computed tomography (CT) scanner program ("density mask") that highlights voxels within a given density range to quantitate emphysema by defining areas of abnormally low attenuation. We compared different density masks, mean lung attenuation, visual assessment of emphysema and the pathologic grade of emphysema in 28 patients undergoing lung resection for tumor. In each patient, a single representative CT image was compared with corresponding pathologic specimens of tissue. There was good correlation between the extent of emphysema as assessed by the density mask and the pathologic grade of emphysema. The optimal attenuation level to define areas of emphysema may vary in different scanners, but, once determined for a particular scanner, the density mask accurately assesses the extent of emphysema and eliminates interobserver and intraobserver variability. It has the added advantage of determining the exact percentage of lung parenchyma showing changes consistent with emphysema.
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              Preoperative evaluation of patients undergoing lung resection surgery.

              Lung cancer continues to be the leading case of cancer deaths in the United States. In patients with resectable non-small cell lung cancer, surgical resection is the treatment of choice. An accurate preoperative general and pulmonary-specific evaluation is essential as postoperative complications and morbidity of lung resection surgery are significant. After confirming anatomic resectability, patients must undergo a thorough evaluation to determine their ability to withstand the surgery and the loss of the resected lung. The measurement of spirometric indexes (ie, FEV(1)) and diffusing capacity of the lung for carbon monoxide (DLCO) should be performed first. If FEV(1) and DLCO are > 60% of predicted, patients are at low risk for complications and can undergo pulmonary resection, including pneumonectomy, without further testing. However, if FEV(1) and DLCO are 40%, the patient can undergo lung resection. If the ppo FEV(1) and ppo DLCO are 15 mL/kg, surgery can be undertaken. If the O(2)max is < 15 mL/kg, surgery is not an option. This review discusses the existing modalities for preoperative evaluation prior to lung resection surgery.
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                Author and article information

                Journal
                Open Respir Med J
                Open Respir Med J
                TORMJ
                The Open Respiratory Medicine Journal
                Bentham Open
                1874-3064
                11 December 2012
                2012
                : 6
                : 139-144
                Affiliations
                [1 ]Department of Radiology, Cork University Hospital and University College Cork, Cork, Ireland
                [2 ]Department of Respiratory Medicine, Cork University Hospital, Cork, Ireland
                Author notes
                [* ]Address correspondence to this author at the Department of Radiology, Cork University Hospital, Wilton, Cork, Ireland; Tel: 00353861938625; Fax: +00 353 21 4922857; E-mail: fiachramoloney@ 123456hotmail.com
                Article
                TORMJ-6-139
                10.2174/1874306401206010139
                3527876
                23264834
                ef21e0f9-e354-42fa-be9b-cc6120c2ebdd
                © Moloney et al.; Licensee Bentham Open.

                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.

                History
                : 31 July 2012
                : 16 October 2012
                : 14 November 2012
                Categories
                Article

                Respiratory medicine
                computed tomography,lung density,pulmonary function
                Respiratory medicine
                computed tomography, lung density, pulmonary function

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