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imal [2023/12/12 12:07]
trynke
imal [2025/02/05 14:49] (current)
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   * vascular calcification   * vascular calcification
   * lung nodules ​   * lung nodules ​
 +
 +Participants with a lung nodule between 100-300 mm3 (~5,4% of all scanned participants) were invited for a repeat CT scan after 3-4 months for scientific purposes, to evaluate natural evolution of lung nodules in the general population.
  
 ===== Subcohort ===== ===== Subcohort =====
  
-Imalife ran from 2017 to 2022. The assessments were performed in ~12.000 Lifelines [[cohort|participants]] of 45 years who completed a [[pulmonary function test]]. ​+Imalife ran from 2017 to 2022. The assessments were performed in ~12.000 Lifelines [[cohort|participants]] of 45years who completed a [[pulmonary function test]].\\ 
 +To ensure sufficient participants in the older age groups, selection criteria were later adjusted to 60+ and, in the final phase, 75+.   
  
 ===== Publications using Imalife data ===== ===== Publications using Imalife data =====
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   * Xia, C et al. (2021) [[https://​linkinghub.elsevier.com/​retrieve/​pii/​S1934-5925(20)30145-3|High-pitch dual-source CT for coronary artery calcium scoring: A head-to-head comparison of non-triggered chest versus triggered cardiac acquisition]]. Journal of Cardiovascular Computed Tomography 15(1): 65-72   * Xia, C et al. (2021) [[https://​linkinghub.elsevier.com/​retrieve/​pii/​S1934-5925(20)30145-3|High-pitch dual-source CT for coronary artery calcium scoring: A head-to-head comparison of non-triggered chest versus triggered cardiac acquisition]]. Journal of Cardiovascular Computed Tomography 15(1): 65-72
   * Lancaster, H et al. (2021) [[https://​www.nature.com/​articles/​s41598-021-88328-y|Seasonal prevalence and characteristics of low-dose CT detected lung nodules in a general Dutch population]]. Sci Rep 11(1): 9139   * Lancaster, H et al. (2021) [[https://​www.nature.com/​articles/​s41598-021-88328-y|Seasonal prevalence and characteristics of low-dose CT detected lung nodules in a general Dutch population]]. Sci Rep 11(1): 9139
 +  * Dudurych, I. et al. (2021) [[https://​eurradiolexp.springeropen.com/​articles/​10.1186/​s41747-021-00247-9|Creating a training set for artificial intelligence from initial segmentations of airways]] Eur Rad Exp 5, 54
   * Cai, J. et al. (2022) [[https://​www.sciencedirect.com/​science/​article/​pii/​S0720048X22002601?​via%3Dihub|CT characteristics of solid pulmonary nodules of never smokers versus smokers: A population-based study]]. Eur J Radiol 154:110410   * Cai, J. et al. (2022) [[https://​www.sciencedirect.com/​science/​article/​pii/​S0720048X22002601?​via%3Dihub|CT characteristics of solid pulmonary nodules of never smokers versus smokers: A population-based study]]. Eur J Radiol 154:110410
   * Wisselink, H. et al. (2023) [[https://​journals.plos.org/​plosone/​article?​id=10.1371/​journal.pone.0287383|Predicted versus CT-derived total lung volume in a general population: The ImaLife study]]. Plos ONE 18(6):​e0287383   * Wisselink, H. et al. (2023) [[https://​journals.plos.org/​plosone/​article?​id=10.1371/​journal.pone.0287383|Predicted versus CT-derived total lung volume in a general population: The ImaLife study]]. Plos ONE 18(6):​e0287383
   * Dudurych, I. et al. (2023) [[https://​link.springer.com/​article/​10.1007/​s00330-023-09615-y|Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction]]. Eur Radiol ​ 33, 6718–6725   * Dudurych, I. et al. (2023) [[https://​link.springer.com/​article/​10.1007/​s00330-023-09615-y|Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction]]. Eur Radiol ​ 33, 6718–6725
   * Wisselink, H et al (2023) [[https://​www.sciencedirect.com/​science/​article/​pii/​S0720048X23000232?​via%3Dihub|CT-based emphysema characterization per lobe: A proof of concept]] Eur J Rad 160, 110709   * Wisselink, H et al (2023) [[https://​www.sciencedirect.com/​science/​article/​pii/​S0720048X23000232?​via%3Dihub|CT-based emphysema characterization per lobe: A proof of concept]] Eur J Rad 160, 110709
-  * DudurychI. et al. (2021) [[https://eurradiolexp.springeropen.com/articles/10.1186/s41747-021-00247-9|Creating a training set for artificial intelligence from initial segmentations ​of airways]] Eur Rad Exp 5, 54+  * Caiet al. (2024) [[https://www.ncbi.nlm.nih.gov/​pmc/articles/PMC11154756/|Who is at risk of lung nodules on low-dose CT in a Western country? A population-based approach]] ERJ Open 63(6): 2301736 
 +  * Sourlos, N. et al. (2024) [[https://​www.ncbi.nlm.nih.gov/​pmc/​articles/​PMC11102890/​|Effect ​of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT]] Eur Radiol ​Exp 8(1):63 
 +  * Dudurych I et al. (2024) [[https://​pubs.rsna.org/​doi/​epdf/​10.1148/​radiol.232677|Low-dose CT–derived bronchial parameters in individuals with healthy lungs]] Radiology 311(3):​e23267  
  
 ===== Variables ===== ===== Variables =====
imal.1702379269.txt.gz · Last modified: 2025/02/05 14:49 (external edit)