Purpose: The purpose of this work was to evaluate feasibility of spirometric-gated high-resolution computed tomography (HRCT) in patients with chronic obstructive pulmonary disease (COPD) and to compare the lung density CT measurements obtained with and without spirometric control of lung volume.
Method: Twenty-nine patients with COPD underwent pulmonary function tests and spirometric-gated (3 slices at 10% and 90% of vital capacity) and -ungated (12 slices at maximum expiration and inspiration) HRCT in the same day. Four lung density measurements (inspiratory pixel index, expiratory pixel index, inspiratory and expiratory mean lung density) derived from gated and ungated acquisitions were compared using the nonparametric Wilcoxon test, the line of equality, and the Bland and Altman test.
Results: The vital capacity measured at pulmonary function tests and on the CT table showed a substantial agreement. All but one patient completed the gated and ungated examination, but only 8 (28%) of 28 patients reached the expiratory and inspiratory gating level for CT acquisitions at the first attempt. Only the inspiratory mean lung density derived from the 3 gated and 12 ungated slices showed borderline agreement. Other CT measurements, and notably all those from the 3 gated and ungated scans, acquired at the same anatomic level, did not agree.
Conclusions: Although the procedure can be difficult for individual patients, spirometric gating significantly influences the lung density CT measurements and might improve standardization of CT evaluation of COPD.
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http://dx.doi.org/10.1097/00004728-200305000-00013 | DOI Listing |
Alzheimers Dement
December 2024
Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Background: Recent research reported that cancer patients had lower risk of Alzheimer's disease (AD). Common signaling pathways, hormonal systems, and genetic predispositions have been hypothesized as important factors contributing to this inverse association. However, the exact mechanisms are still unknown.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Introduction: Tumor-infiltrating lymphocytes are both prognostic and predictive biomarkers for immunotherapy response. However, less is known about the survival benefits oftheir subpopulations.
Methods: Using machine learning models, we assessed the clinical association of the CD8+, PD1+, TCF1+ cel l subset by multiplex immunohistochemistry using tissue microarrays in 553 non-small cell lung cancer (NSCLC) patients and its correlation with other immune cell biomarkers.
BMC Infect Dis
January 2025
Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, No.264, Guangzhou Road, Gulou District, Nanjing, 210029, Jiangsu, China.
Purpose: To present the different findings of Chlamydia psittaci (C. psittaci) pneumonia on computed tomography (CT) according to the progression of the disease, to improve diagnostic accuracy, guide early clinical diagnosis, evaluate treatment efficacy, and reduce the mortality associated with the disease.
Methods: In total, 80 cases of C.
JACC Adv
November 2024
Units of Immunology and chronic disease, and Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Background: Antibodies against phosphorylcholine (anti-PC) have been reported as associated with protection against atherosclerosis, cardiovascular disease (CVD), and other chronic inflammatory diseases. Underlying potential mechanisms have been demonstrated and include anti-inflammatory, clearance of dead cells, and inhibition of oxidized low-density lipoprotein effects.
Objectives: This study examined the role of IgM anti-PC and incident CVD among women, where less is known than among men in the general population.
PLoS One
December 2024
Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
Background: This retrospective study explores two radiomics methods combined with other clinical variables for predicting recurrence free survival (RFS) and overall survival (OS) in patients with pulmonary metastases treated with stereotactic body radiotherapy (SBRT).
Methods: 111 patients with 163 metastases treated with SBRT were included with a median follow-up time of 927 days. First-order radiomic features were extracted using two methods: 2D CT texture analysis (CTTA) using TexRAD software, and a data-driven technique: functional principal components analysis (FPCA) using segmented tumoral and peri-tumoural 3D regions.
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