Detalhe da pesquisa
1.
Who is at risk of lung nodules on low-dose CT in a Western country? A population-based approach.
Eur Respir J
; 2024 May 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-38697647
2.
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation.
J Digit Imaging
; 35(3): 538-550, 2022 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35182291
3.
Evaluation of a novel deep learning-based classifier for perifissural nodules.
Eur Radiol
; 31(6): 4023-4030, 2021 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-33269413
4.
Early detection of heart function abnormality by native T1: a comparison of two T1 quantification methods.
Eur Radiol
; 30(1): 652-662, 2020 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-31410603
5.
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.
Eur J Epidemiol
; 35(1): 75-86, 2020 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-31016436
6.
CT-based emphysema characterization per lobe: A proof of concept.
Eur J Radiol
; 160: 110709, 2023 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-36731401
7.
Predicted versus CT-derived total lung volume in a general population: The ImaLife study.
PLoS One
; 18(6): e0287383, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37327210
8.
CT characteristics of solid pulmonary nodules of never smokers versus smokers: A population-based study.
Eur J Radiol
; 154: 110410, 2022 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-35777080
9.
Improved precision of noise estimation in CT with a volume-based approach.
Eur Radiol Exp
; 5(1): 39, 2021 09 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34505172
10.
Seasonal prevalence and characteristics of low-dose CT detected lung nodules in a general Dutch population.
Sci Rep
; 11(1): 9139, 2021 04 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-33911102
11.
Cardiovascular Risk Factors and Coronary Calcification in a Middle-aged Dutch Population: The ImaLife Study.
J Thorac Imaging
; 36(3): 174-180, 2021 May 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33060489
12.
High-pitch dual-source CT for coronary artery calcium scoring: A head-to-head comparison of non-triggered chest versus triggered cardiac acquisition.
J Cardiovasc Comput Tomogr
; 15(1): 65-72, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-32505593
13.
Computed Tomography Screening for Early Lung Cancer, COPD and Cardiovascular Disease in Shanghai: Rationale and Design of a Population-based Comparative Study.
Acad Radiol
; 28(1): 36-45, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32151538
14.
Lung cancer prediction by Deep Learning to identify benign lung nodules.
Lung Cancer
; 154: 1-4, 2021 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33556604
15.
Association of urinary biomarkers with disease severity in patients with autosomal dominant polycystic kidney disease: a cross-sectional analysis.
Am J Kidney Dis
; 56(5): 883-95, 2010 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-20888104
16.
Potential for dose reduction in CT emphysema densitometry with post-scan noise reduction: a phantom study.
Br J Radiol
; 93(1105): 20181019, 2020 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-31724436
17.
New Fissure-Attached Nodules in Lung Cancer Screening: A Brief Report From The NELSON Study.
J Thorac Oncol
; 15(1): 125-129, 2020 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31606605
18.
An Update on the European Lung Cancer Screening Trials and Comparison of Lung Cancer Screening Recommendations in Europe.
J Thorac Imaging
; 34(1): 65-71, 2019 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-30325795
19.
Screening for Early Lung Cancer, Chronic Obstructive Pulmonary Disease, and Cardiovascular Disease (the Big-3) Using Low-dose Chest Computed Tomography: Current Evidence and Technical Considerations.
J Thorac Imaging
; 34(3): 160-169, 2019 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-30550403
20.
Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study.
Cancer Biol Med
; 16(1): 181-188, 2019 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-31119059