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imal [2023/12/12 11:07] – trynke | imal [2025/04/22 14:22] (current) – trynke |
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* vascular calcification | * vascular calcification |
* lung nodules | * lung nodules |
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| 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. |
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===== Subcohort ===== | ===== Subcohort ===== |
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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 45+ years 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+. |
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===== Publications using Imalife data ===== | ===== Publications using Imalife data ===== |
* 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 |
* 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. (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 |
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| ===== Spin-offs ===== |
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| Imalife has resulted in 3 'spin-off' projects among the Imalife subcohort participants: |
| * Biolife |
| * Cardiolife ([[https://www.sciencedirect.com/science/article/pii/S0002870322000059?via%3Dihub|cohort paper]]) |
| * Memolife |
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===== Variables ===== | ===== Variables ===== |