Cargando…

Seasonal prevalence and characteristics of low-dose CT detected lung nodules in a general Dutch population

We investigated whether presence and characteristics of lung nodules in the general population using low-dose computed tomography (LDCT) varied by season. Imaging in Lifelines (ImaLife) study participants who underwent chest LDCT-scanning between October 2018 and October 2019 were included in this s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lancaster, Harriet L., Heuvelmans, Marjolein A., Pelgrim, Gert Jan, Rook, Mieneke, Kok, Marius G. J., Aown, Ahmed, de Bock, Geertruida H., van den Berge, Maarten, Groen, Harry J. M., Vliegenthart, Rozemarijn
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080793/ https://www.ncbi.nlm.nih.gov/pubmed/33911102 http://dx.doi.org/10.1038/s41598-021-88328-y

Ejemplares similares

Predicted versus CT-derived total lung volume in a general population: The ImaLife study
por: Wisselink, Hendrik J., et al.
Publicado: (2023)

Improved precision of noise estimation in CT with a volume-based approach
por: Wisselink, Hendrik Joost, et al.
Publicado: (2021)

Cardiovascular Risk Factors and Coronary Calcification in a Middle-aged Dutch Population: The ImaLife Study
por: Xia, Congying, et al.
Publicado: (2021)

Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients
por: Han, Daiwei, et al.
Publicado: (2023)

Evaluation of a novel deep learning–based classifier for perifissural nodules
por: Han, Daiwei, et al.
Publicado: (2020)

Association between visual emphysema and lung nodules on low-dose CT scan in a Chinese Lung Cancer Screening Program (Nelcin-B3)
por: Yang, Xiaofei, et al.
Publicado: (2022)

Early imaging biomarkers of lung cancer, COPD and coronary artery disease in the general population: rationale and design of the ImaLife (Imaging in Lifelines) Study
por: Xia, Congying, et al.
Publicado: (2019)

Clinical characteristics and work-up of small to intermediate-sized pulmonary nodules in a Chinese dedicated cancer hospital
por: Cui, Xiaonan, et al.
Publicado: (2020)

Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study
por: Du, Yihui, et al.
Publicado: (2019)

Airflow Limitation Increases Lung Cancer Risk in Smokers: The Lifelines Cohort Study
por: Du, Yihui, et al.
Publicado: (2022)

Lung cancer occurrence attributable to passive smoking among never smokers in China: a systematic review and meta-analysis
por: Du, Yihui, et al.
Publicado: (2020)

Comparison of National Comprehensive Cancer Network and European Position Statement protocols for nodule management in low-dose computed tomography lung cancer screening in a general Chinese population
por: Du, Yihui, et al.
Publicado: (2021)

Influenza season influence on outcome of new nodules in the NELSON study
por: Lancaster, H. L., et al.
Publicado: (2023)

A contrast-enhanced-CT-based classification tree model for classifying malignancy of solid lung tumors in a Chinese clinical population
por: Cui, Xiaonan, et al.
Publicado: (2021)

Detectability and Volumetric Accuracy of Pulmonary Nodules in Low-Dose Photon-Counting Detector Computed Tomography: An Anthropomorphic Phantom Study
por: Hop, Joost F., et al.
Publicado: (2023)

Preparing CT imaging datasets for deep learning in lung nodule analysis: Insights from four well-known datasets
por: Wang, Jingxuan, et al.
Publicado: (2023)

Follow-up regimen after lung cancer treatment: about the how and why
por: Heuvelmans, Marjolein A., et al.
Publicado: (2023)

Simultaneous Identification of EGFR, KRAS, ERBB2, and TP53 Mutations in Patients with Non-Small Cell Lung Cancer by Machine Learning-Derived Three-Dimensional Radiomics
por: Zhang, Tiening, et al.
Publicado: (2021)

A practical approach to radiological evaluation of CT lung cancer screening examinations
por: Xie, Xueqian, et al.
Publicado: (2013)

Feasibility of bronchial wall quantification in low‐ and ultralow‐dose third‐generation dual‐source CT: An ex vivo lung study
por: Zhang, Lin, et al.
Publicado: (2020)

Performance of computer-aided detection of pulmonary nodules in low-dose CT: comparison with double reading by nodule volume
por: Zhao, Yingru, et al.
Publicado: (2012)

Low‐dose computed tomography lung cancer screening: Clinical evidence and implementation research
por: Lancaster, Harriet L., et al.
Publicado: (2022)

Evaluation of spirometry-gated computed tomography to measure lung volumes in emphysema patients
por: Bakker, Jens T., et al.
Publicado: (2022)

Supplementary data for a model-based health economic evaluation on lung cancer screening with low-dose computed tomography in a high-risk population
por: Du, Yihui, et al.
Publicado: (2020)

AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation
por: Nagaraj, Yeshaswini, et al.
Publicado: (2022)

Volumetric measurement of pulmonary nodules at low-dose chest CT: effect of reconstruction setting on measurement variability
por: Wang, Ying, et al.
Publicado: (2009)

Sensitivity and accuracy of volumetry of pulmonary nodules on low-dose 16- and 64-row multi-detector CT: an anthropomorphic phantom study
por: Xie, Xueqian, et al.
Publicado: (2012)

Low CT temporal sampling rates result in a substantial underestimation of myocardial blood flow measurements
por: van Assen, Marly, et al.
Publicado: (2018)

Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and Classification
por: Sourlos, Nikos, et al.
Publicado: (2022)

Assessment of Dynamic Change of Coronary Artery Geometry and Its Relationship to Coronary Artery Disease, Based on Coronary CT Angiography
por: van Zandwijk, Jordy K., et al.
Publicado: (2019)

Agreement of diameter- and volume-based pulmonary nodule management in CT lung cancer screening
por: Heuvelmans, MA, et al.
Publicado: (2014)

The impact of radiologists’ expertise on screen result decisions in CT lung cancer screening
por: Heuvelmans, MA, et al.
Publicado: (2014)

3D radiomics predicts EGFR mutation, exon-19 deletion and exon-21 L858R mutation in lung adenocarcinoma
por: Liu, Guixue, et al.
Publicado: (2020)

Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial
por: Sidorenkov, Grigory, et al.
Publicado: (2023)

Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model
por: Pelgrim, Gert Jan, et al.
Publicado: (2017)

Machine-Learning-Derived Nomogram Based on 3D Radiomic Features and Clinical Factors Predicts Progression-Free Survival in Lung Adenocarcinoma
por: Liu, Guixue, et al.
Publicado: (2021)

Accuracy of iodine quantification using dual energy CT in latest generation dual source and dual layer CT
por: Pelgrim, Gert Jan, et al.
Publicado: (2017)

Feasibility of spectral shaping for detection and quantification of coronary calcifications in ultra-low dose CT
por: Vonder, Marleen, et al.
Publicado: (2016)

Radiological characteristics of screen-detected lung cancers: predictive for histological subtype?
por: Heuvelmans, MA, et al.
Publicado: (2014)

Development of an Ex Vivo, Beating Heart Model for CT Myocardial Perfusion
por: Pelgrim, Gert Jan, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_adue3jdvpp0brqbckhvfhaae23