Ground-glass opacities (GGOs) in the absence of interstitial lung disease are understudied. To assess the association of GGOs with white blood cells (WBCs) and progression of quantified chest computed tomography emphysema. We analyzed data of participants in the SPIROMICS study (Subpopulations and Intermediate Outcome Measures in COPD Study). Chest radiologists and pulmonologists labeled regions of the lung as GGOs, and the adaptive multiple feature method (AMFM) trained the computer to assign those labels to image voxels and quantify the volume of the lung with GGOs (%GGO). We used multivariable linear regression, zero-inflated negative binomial, and proportional hazards regression models to assess the association of %GGO with WBCs, changes in percentage emphysema, and clinical outcomes. Among 2,714 participants, 1,680 had chronic obstructive pulmonary disease (COPD) and 1,034 had normal spirometry. Among participants with COPD, on the basis of multivariable analysis, current smoking and chronic productive cough were associated with higher %GGO. Higher %GGO was cross-sectionally associated with higher WBC and neutrophil concentrations. Higher %GGO per interquartile range at visit 1 (baseline) was associated with an increase in emphysema at 1-year follow-up visit by 11.7% (relative increase; 95% confidence interval, 7.5-16.1%; < 0.001). We found no association between %GGO and 1-year FEV decline, but %GGO was associated with exacerbations and all-cause mortality during a median follow-up of 1,544 days (interquartile interval, 1,118-2,059). Among normal spirometry participants, we found similar results, except that %GGO was associated with progression to COPD at 1-year follow-up. Our findings suggest that GGO is associated with increased systemic inflammation and emphysema progression.
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http://dx.doi.org/10.1164/rccm.202310-1825OC | DOI Listing |
Sci Rep
December 2024
School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India.
The Internet of Things (IoT) network is a fast-growing technology, which is efficiently used in various applications. In an IoT network, the massive amount of connecting nodes is the existence of day-to-day communication challenges. The platform of IoT uses a cloud service as a backend for processing information and maintaining remote control.
View Article and Find Full Text PDFJ Thorac Dis
November 2024
Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Background: With the development of tyrosine kinase inhibitor (TKI) treatment, the prognosis of advanced lung adenocarcinoma (LUAD) patients with epidermal growth factor receptor () mutations has been continuously improving. This study aims to propose the utilization of pathological characteristics and imaging features to evaluate the impact of gene mutations on the prognosis of T1-4N0M0 LUAD.
Methods: Among the cases diagnosed with LUAD between April 2015 and April 2016, 438 patients with T1-4N0M0 LUAD were included, and the clinical characteristics were collected.
BMC Pulm Med
December 2024
Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
Transl Lung Cancer Res
September 2024
Department of Endoscopy, Respiratory Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
Sci Rep
October 2024
Department of Computer Science, Faculty of Computers and Information, Suez University, P.O.BOX:43221, Suez, Egypt.
Lung cancer is an important global health problem, and it is defined by abnormal growth of the cells in the tissues of the lung, mostly leading to significant morbidity and mortality. Its timely identification and correct staging are very important for proper therapy and prognosis. Different computational methods have been used to enhance the precision of lung cancer classification, among which optimization algorithms such as Greylag Goose Optimization (GGO) are employed.
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