scholarly journals Association Between 5-year Changes in Chest CT Parametric Response Mapping and Subsequent Mortality and Lung Function Decline in COPDGene

2021 ◽  
Author(s):  
W.W. Labaki ◽  
C.L. Lopez ◽  
S. Murray ◽  
M.C. Ferrera ◽  
C.A. Meldrum ◽  
...  
Keyword(s):  
Lung Function ◽  
Chest Ct ◽  
Lung Function Decline ◽  
Response Mapping ◽  
Parametric Response

scholarly journals Structural determinants of long-term functional outcomes in young children with cystic fibrosis

2020 ◽  
Vol 55 (5) ◽  
pp. 1900748 ◽  
Author(s):  
Lidija Turkovic ◽  
Daan Caudri ◽  
Tim Rosenow ◽  
Oded Breuer ◽  
Conor Murray ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Lung Function ◽  
Lung Disease ◽  
Chest Ct ◽  
Lung Damage ◽  
Wall Thickening ◽  
Lung Function Decline ◽  
Children's Hospital ◽  
Children’S Hospital

BackgroundAccelerated lung function decline in individuals with cystic fibrosis (CF) starts in adolescence with respiratory complications being the most common cause of death in later life. Factors contributing to lung function decline are not well understood, in particular its relationship with structural lung disease in early childhood. Detection and management of structural lung disease could be an important step in improving outcomes in CF patients.MethodsAnnual chest computed tomography (CT) scans were available from 2005 to 2016 as a part of the AREST CF cohort for children aged 3 months to 6 years. Annual spirometry measurements were available for 89.77% of the cohort (167 children aged 5–6 years) from age 5 to 15 years through outpatient clinics at Perth Children's Hospital (Perth, Australia) and The Royal Children's Hospital in Melbourne (Melbourne, Australia) (697 measurements, mean±sd age 9.3±2.1 years).ResultsChildren with a total CT score above the median at age 5–6 years were more likely to have abnormal forced expiratory volume in 1 s (FEV1) (adjusted hazard ratio 2.67 (1.06–6.72), p=0.037) during the next 10 years compared to those below the median chest CT score. The extent of all structural abnormalities except bronchial wall thickening were associated with lower FEV1 Z-scores. Mucus plugging and trapped air were the most predictive sub-score (adjusted mean change −0.17 (−0.26 – −0.07) p<0.001 and −0.09 (−0.14 – −0.04) p<0.001, respectively).DiscussionChest CT identifies children at an early age who have adverse long-term outcomes. The prevention of structural lung damage should be a goal of early intervention and can be usefully assessed with chest CT. In an era of therapeutics that might alter disease trajectories, chest CT could provide an early readout of likely long-term success.

scholarly journals A 3D-CNN model with CT-based parametric response mapping for classifying COPD subjects

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Thao Thi Ho ◽  
Taewoo Kim ◽  
Woo Jin Kim ◽  
Chang Hyun Lee ◽  
Kum Ju Chae ◽  
...  
Keyword(s):  
Neural Network ◽  
Pulmonary Function Tests ◽  
Airway Disease ◽  
Chronic Obstructive ◽  
Respiratory Disorder ◽  
Obstructive Pulmonary Disease ◽  
Response Mapping ◽  
Small Airway Disease ◽  
3D Cnn ◽  
Parametric Response

AbstractChronic obstructive pulmonary disease (COPD) is a respiratory disorder involving abnormalities of lung parenchymal morphology with different severities. COPD is assessed by pulmonary-function tests and computed tomography-based approaches. We introduce a new classification method for COPD grouping based on deep learning and a parametric-response mapping (PRM) method. We extracted parenchymal functional variables of functional small airway disease percentage (fSAD%) and emphysema percentage (Emph%) with an image registration technique, being provided as input parameters of 3D convolutional neural network (CNN). The integrated 3D-CNN and PRM (3D-cPRM) achieved a classification accuracy of 89.3% and a sensitivity of 88.3% in five-fold cross-validation. The prediction accuracy of the proposed 3D-cPRM exceeded those of the 2D model and traditional 3D CNNs with the same neural network, and was comparable to that of 2D pretrained PRM models. We then applied a gradient-weighted class activation mapping (Grad-CAM) that highlights the key features in the CNN learning process. Most of the class-discriminative regions appeared in the upper and middle lobes of the lung, consistent with the regions of elevated fSAD% and Emph% in COPD subjects. The 3D-cPRM successfully represented the parenchymal abnormalities in COPD and matched the CT-based diagnosis of COPD.

scholarly journals Can biomarkers of extracellular matrix remodelling and wound healing be used to identify high risk patients infected with SARS-CoV-2?: lessons learned from pulmonary fibrosis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
D. J. Leeming ◽  
F. Genovese ◽  
J. M. B. Sand ◽  
D. G. K. Rasmussen ◽  
C. Christiansen ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Extracellular Matrix ◽  
Wound Healing ◽  
Lung Function ◽  
Pulmonary Fibrosis ◽  
Interstitial Lung Diseases ◽  
Lessons Learned ◽  
Lung Function Decline ◽  
Tissue Remodelling

AbstractPulmonary fibrosis has been identified as a main factor leading to pulmonary dysfunction and poor quality of life in post-recovery Severe Acute Respiratory Syndrome (SARS) survivor’s consequent to SARS-Cov-2 infection. Thus there is an urgent medical need for identification of readily available biomarkers that in patients with SARS-Cov-2 infection are able to; (1) identify patients in most need of medical care prior to admittance to an intensive care unit (ICU), and; (2) identify patients post-infection at risk of developing persistent fibrosis of lungs with subsequent impaired quality of life and increased morbidity and mortality. An intense amount of research have focused on wound healing and Extracellular Matrix (ECM) remodelling of the lungs related to lung function decline in pulmonary fibrosis (PF). A range of non-invasive serological biomarkers, reflecting tissue remodelling, and fibrosis have been shown to predict risk of acute exacerbations, lung function decline and mortality in PF and other interstitial lung diseases (Sand et al. in Respir Res 19:82, 2018). We suggest that lessons learned from such PF studies of the pathological processes leading to lung function decline could be used to better identify patients infected with SARS-Co-V2 at most risk of acute deterioration or persistent fibrotic damage of the lung and could consequently be used to guide treatment decisions.

scholarly journals Lung function decline is associated with serum uric acid in Korean health screening individuals

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kyung-Min Ahn ◽  
Suh-Young Lee ◽  
So-Hee Lee ◽  
Sun-Sin Kim ◽  
Heung-Woo Park
Keyword(s):  
Uric Acid ◽  
Lung Function ◽  
Serum Uric Acid ◽  
Uric Acid Level ◽  
Acid Level ◽  
Serum Uric Acid Level ◽  
Forced Expiratory Volume ◽  
Linear Regression Models ◽  
Lung Function Decline ◽  
Health Screenings

AbstractWe performed a retrospective cohort study of 19,237 individuals who underwent at least three health screenings with follow-up periods of over 5 years to find a routinely checked serum marker that predicts lung function decline. Using linear regression models to analyze associations between the rate of decline in the forced expiratory volume in 1 s (FEV1) and the level of 10 serum markers (calcium, phosphorus, uric acid, total cholesterol, total protein, total bilirubin, alkaline phosphatase, aspartate aminotransferase, creatinine, and C-reactive protein) measured at two different times (at the first and third health screenings), we found that an increased uric acid level was significantly associated with an accelerated FEV1 decline (P = 0.0014 and P = 0.037, respectively) and reduced FEV1 predicted % (P = 0.0074 and P = 8.64 × 10–7, respectively) at both visits only in non-smoking individuals. In addition, we confirmed that accelerated forced vital capacity (FVC) and FEV1/FVC ratio declines were observed in non-smoking individuals with increased serum uric acid levels using linear mixed models. The serum uric acid level thus potentially predicts an acceleration in lung function decline in a non-smoking general population.

scholarly journals Welding, longitudinal lung function decline and chronic respiratory symptoms: a systematic review of cohort studies

2012 ◽  
Vol 42 (5) ◽  
pp. 1186-1193 ◽  
Author(s):  
Joanna Szram ◽  
Susie J. Schofield ◽  
Martin P. Cosgrove ◽  
Paul Cullinan
Keyword(s):  
Systematic Review ◽  
Lung Function ◽  
Cohort Studies ◽  
Respiratory Symptoms ◽  
Lung Function Decline

scholarly journals Correction: Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline

PLoS ONE ◽  
2016 ◽  
Vol 11 (8) ◽  
pp. e0160726 ◽  
Author(s):  
Giovanni Bacci ◽  
Patrizia Paganin ◽  
Loredana Lopez ◽  
Chiara Vanni ◽  
Claudia Dalmastri ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Lung Function ◽  
Cystic Fibrosis Lung ◽  
Lung Function Decline ◽  
Lung Microbiome ◽  
Severe Lung
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