Publications

2010

Washko GR, Lynch DA, Matsuoka S, Ross JC, Umeoka S, Díaz A, Sciurba FC, Hunninghake GM, epar R ul SJ e E, Silverman EK, et al. Identification of early interstitial lung disease in smokers from the COPDGene Study.. Acad Radiol. 2010;17(1):48–53. doi:10.1016/j.acra.2009.07.016
RATIONALE AND OBJECTIVES: The aim of this study is to compare two subjective methods for the identification of changes suggestive of early interstitial lung disease (ILD) on chest computed tomographic (CT) scans.
Diaz AA, Valim C, Yamashiro T, epar R ul SJ e E, Ross JC, Matsuoka S, Bartholmai B, Hatabu H, Silverman EK, Washko GR. Airway count and emphysema assessed by chest CT imaging predicts clinical outcome in smokers.. Chest. 2010;138(4):880–7. doi:10.1378/chest.10-0542
BACKGROUND: Recently, it has been shown that emphysematous destruction of the lung is associated with a decrease in the total number of terminal bronchioles. It is unknown whether a similar decrease is visible in the more proximal airways. We aimed to assess the relationships between proximal airway count, CT imaging measures of emphysema, and clinical prognostic factors in smokers, and to determine whether airway count predicts the BMI, airflow obstruction, dyspnea, and exercise capacity (BODE) index.
Ross JC, epar RSJ e E, Kindlmann G, iaz AD \, Westin C-F, Silverman EK, Washko GR. Automatic lung lobe segmentation using particles, thin plate splines, and maximum a posteriori estimation.. Med Image Comput Comput Assist Interv. 2010;13(Pt 3):163–71.
We present a fully automatic lung lobe segmentation algorithm that is effective in high resolution computed tomography (CT) datasets in the presence of confounding factors such as incomplete fissures (anatomical structures indicating lobe boundaries), advanced disease states, high body mass index (BMI), and low-dose scanning protocols. In contrast to other algorithms that leverage segmentations of auxiliary structures (esp. vessels and airways), we rely only upon image features indicating fissure locations. We employ a particle system that samples the image domain and provides a set of candidate fissure locations. We follow this stage with maximum a posteriori (MAP) estimation to eliminate poor candidates and then perform a post-processing operation to remove remaining noise particles. We then fit a thin plate spline (TPS) interpolating surface to the fissure particles to form the final lung lobe segmentation. Results indicate that our algorithm performs comparably to pulmonologist-generated lung lobe segmentations on a set of challenging cases.
Diaz AA, Bartholmai B, epar R ul SJ e E, Ross J, Matsuoka S, Yamashiro T, Hatabu H, Reilly JJ, Silverman EK, Washko GR. Relationship of emphysema and airway disease assessed by CT to exercise capacity in COPD.. Respir Med. 2010;104(8):1145–51. doi:10.1016/j.rmed.2010.02.023
OBJECTIVE: To assess the association of emphysema and airway disease assessed by volumetric computed tomography (CT) with exercise capacity in subjects with chronic obstructive pulmonary disease (COPD).
Yamashiro T, Matsuoka S, Bartholmai BJ, epar R ul SJ e E, Ross JC, Díaz A, Murayama S, Silverman EK, Hatabu H, Washko GR. Collapsibility of lung volume by paired inspiratory and expiratory CT scans: correlations with lung function and mean lung density.. Acad Radiol. 2010;17(4):489–95. doi:10.1016/j.acra.2009.11.004
RATIONALE AND OBJECTIVES: To evaluate the relationship between measurements of lung volume (LV) on inspiratory/expiratory computed tomography (CT) scans, pulmonary function tests (PFT), and CT measurements of emphysema in individuals with chronic obstructive pulmonary disease. MATERIALS AND METHODS: Forty-six smokers (20 females and 26 males; age range 46-81 years), enrolled in the Lung Tissue Research Consortium, underwent PFT and chest CT at full inspiration and expiration. Inspiratory and expiratory LV values were automatically measured by open-source software, and the expiratory/inspiratory (E/I) ratio of LV was calculated. Mean lung density (MLD) and low attenuation area percent (
Yamashiro T, Matsuoka S, epar R ul SJ e E, Dransfield MT, Díaz A, Reilly JJ, Patz S, Murayama S, Silverman EK, Hatabu H, et al. Quantitative assessment of bronchial wall attenuation with thin-section CT: An indicator of airflow limitation in chronic obstructive pulmonary disease.. AJR Am J Roentgenol. 2010;195(2):363–9. doi:10.2214/AJR.09.3653
OBJECTIVE: The purpose of this study was to evaluate the relation between bronchial wall attenuation on thin-section CT images and airflow limitation in persons with chronic obstructive pulmonary disease. SUBJECTS AND METHODS: One hundred fourteen subjects (65 men, 49 women; age range, 56-74 years) enrolled in the National Lung Screening Trial underwent chest CT and prebronchodilation spirometry at a single institution. At CT, mean peak wall attenuation, wall area percentage, and luminal area were measured in the third, fourth, and fifth generations of the right B(1) and B(10) segmental bronchi. Correlations with forced expiratory volume in the first second of expiration (FEV(1)) expressed as percentage of predicted value were evaluated with Spearman’s rank correlation test.
Matsuoka S, Washko GR, Dransfield MT, Yamashiro T, Estepar RSJ, Díaz A, Silverman EK, Patz S, Hatabu H. Quantitative CT measurement of cross-sectional area of small pulmonary vessel in COPD: correlations with emphysema and airflow limitation.. Acad Radiol. 2010;17(1):93–9. doi:10.1016/j.acra.2009.07.022
RATIONALE AND OBJECTIVES: Pulmonary vascular alteration is one of the characteristic features of chronic obstructive pulmonary disease (COPD). Recent studies suggest that vascular alteration is closely related to endothelial dysfunction and may be further influenced by emphysema. However, the relationship between morphological alteration of small pulmonary vessels and the extent of emphysema has not been assessed in vivo. The objectives of this study are: to evaluate the correlation of total cross-sectional area (CSA) of small pulmonary vessels with the extent of emphysema and airflow obstruction using CT scans and to assess the difference of total CSA between COPD phenotypes. MATERIALS AND METHODS: We measured CSA less than 5 mm(2) and 5-10 mm(2), and calculated the percentage of the total CSA for the lung area (%CSA 5, and %CSA5-10, respectively) using CT scans in 191 subjects. The extent of emphysema (%LAA-950) was calculated, and the correlations of %CSA 5 and %CSA5-10 with %LAA-950 and results of pulmonary function tests (PFTs) were evaluated. The differences in %CSA between COPD phenotypes were also assessed.
Venkataraman A, Kubicki M, Westin C-F, Golland P. Robust Feature Selection in Resting-State fMRI Connectivity Based on Population Studies.. Conf Comput Vis Pattern Recognit Workshops. 2010:63–70. doi:10.1109/CVPRW.2010.5543446
We propose an alternative to univariate statistics for identifying population differences in functional connectivity. Our feature selection method is based on a procedure that searches across subsets of the data to isolate a set of robust, predictive functional connections. The metric, known as the Gini Importance, also summarizes multivariate patterns of interaction, which cannot be captured by univariate techniques. We compare the Gini Importance with univariate statistical tests to evaluate functional connectivity changes induced by schizophrenia. Our empirical results indicate that univariate features vary dramatically across subsets of the data and have little classification power. In contrast, relevant features based on Gini Importance are considerably more stable and allow us to accurately predict the diagnosis of a test subject.
Washko GR, Martinez FJ, Hoffman EA, Loring SH, epar R ul SJ e E, Diaz AA, Sciurba FC, Silverman EK, Han MK, Decamp M, et al. Physiological and computed tomographic predictors of outcome from lung volume reduction surgery.. Am J Respir Crit Care Med. 2010;181(5):494–500. doi:10.1164/rccm.200906-0911OC
RATIONALE: Previous investigations have identified several potential predictors of outcomes from lung volume reduction surgery (LVRS). A concern regarding these studies has been their small sample size, which may limit generalizability. We therefore sought to examine radiographic and physiologic predictors of surgical outcomes in a large, multicenter clinical investigation, the National Emphysema Treatment Trial. OBJECTIVES: To identify objective radiographic and physiological indices of lung disease that have prognostic value in subjects with chronic obstructive pulmonary disease being evaluated for LVRS. METHODS: A subset of the subjects undergoing LVRS in the National Emphysema Treatment Trial underwent preoperative high-resolution computed tomographic (CT) scanning of the chest and measures of static lung recoil at total lung capacity (SRtlc) and inspiratory resistance (Ri). The relationship between CT measures of emphysema, the ratio of upper to lower zone emphysema, CT measures of airway disease, SRtlc, Ri, the ratio of residual volume to total lung capacity (RV/TLC), and both 6-month postoperative changes in FEV(1) and maximal exercise capacity were assessed.
Matsuoka S, Washko GR, Yamashiro T, Estepar RSJ, Díaz A, Silverman EK, Hoffman E, Fessler HE, Criner GJ, Marchetti N, et al. Pulmonary hypertension and computed tomography measurement of small pulmonary vessels in severe emphysema.. Am J Respir Crit Care Med. 2010;181(3):218–25. doi:10.1164/rccm.200908-1189OC
RATIONALE: Vascular alteration of small pulmonary vessels is one of the characteristic features of pulmonary hypertension in chronic obstructive pulmonary disease. The in vivo relationship between pulmonary hypertension and morphological alteration of the small pulmonary vessels has not been assessed in patients with severe emphysema. OBJECTIVES: We evaluated the correlation of total cross-sectional area of small pulmonary vessels (CSA) assessed on computed tomography (CT) scans with the degree of pulmonary hypertension estimated by right heart catheterization. METHODS: In 79 patients with severe emphysema enrolled in the National Emphysema Treatment Trial (NETT), we measured CSA less than 5 mm(2) (CSA(