Connection

Rozemarijn Vliegenthart to Lung Neoplasms

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This is a "connection" page, showing publications Rozemarijn Vliegenthart has written about Lung Neoplasms.
Rozemarijn Vliegenthart
Connection Strength
8.407
Lung Neoplasms
  1. Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients. Br J Radiol. 2023 Mar 01; 96(1144):20220709.
    View in: PubMed
    Score: 0.451
  2. Innovations in thoracic imaging: CT, radiomics, AI and x-ray velocimetry. Respirology. 2022 10; 27(10):818-833.
    View in: PubMed
    Score: 0.435
  3. CT characteristics of solid pulmonary nodules of never smokers versus smokers: A population-based study. Eur J Radiol. 2022 Sep; 154:110410.
    View in: PubMed
    Score: 0.430
  4. Seasonal prevalence and characteristics of low-dose CT detected lung nodules in a general Dutch population. Sci Rep. 2021 04 28; 11(1):9139.
    View in: PubMed
    Score: 0.398
  5. Evaluation of a novel deep learning-based classifier for perifissural nodules. Eur Radiol. 2021 Jun; 31(6):4023-4030.
    View in: PubMed
    Score: 0.387
  6. 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. 2020 Jan; 35(1):75-86.
    View in: PubMed
    Score: 0.346
  7. Relationship between nodule count and lung cancer probability in baseline CT lung cancer screening: The NELSON study. Lung Cancer. 2017 11; 113:45-50.
    View in: PubMed
    Score: 0.309
  8. The impact of radiologists' expertise on screen results decisions in a CT lung cancer screening trial. Eur Radiol. 2015 Mar; 25(3):792-9.
    View in: PubMed
    Score: 0.254
  9. A practical approach to radiological evaluation of CT lung cancer screening examinations. Cancer Imaging. 2013 Sep 23; 13(3):391-9.
    View in: PubMed
    Score: 0.235
  10. Optimisation of volume-doubling time cutoff for fast-growing lung nodules in CT lung cancer screening reduces false-positive referrals. Eur Radiol. 2013 Jul; 23(7):1836-45.
    View in: PubMed
    Score: 0.227
  11. The additional diagnostic value of virtual bronchoscopy navigation in patients with pulmonary nodules - The NAVIGATOR study. Lung Cancer. 2023 03; 177:37-43.
    View in: PubMed
    Score: 0.112
  12. Population-Based Screening Using Low-Dose Chest Computed Tomography: A Systematic Review of Health Economic Evaluations. Pharmacoeconomics. 2023 Apr; 41(4):395-411.
    View in: PubMed
    Score: 0.112
  13. Lung cancer screening. Lancet. 2023 02 04; 401(10374):390-408.
    View in: PubMed
    Score: 0.111
  14. Airflow Limitation Increases Lung Cancer Risk in Smokers: The Lifelines Cohort Study. Cancer Epidemiol Biomarkers Prev. 2022 07 01; 31(7):1442-1449.
    View in: PubMed
    Score: 0.108
  15. Association between visual emphysema and lung nodules on low-dose CT scan in a Chinese Lung Cancer Screening Program (Nelcin-B3). Eur Radiol. 2022 Dec; 32(12):8162-8170.
    View in: PubMed
    Score: 0.107
  16. Association between Chest CT-defined Emphysema and Lung Cancer: A Systematic Review and Meta-Analysis. Radiology. 2022 08; 304(2):322-330.
    View in: PubMed
    Score: 0.107
  17. Lung cancer screening with low-dose CT: Simulating the effect of starting screening at a younger age in women. Eur J Radiol. 2022 Mar; 148:110182.
    View in: PubMed
    Score: 0.105
  18. Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT. Radiology. 2022 04; 303(1):202-212.
    View in: PubMed
    Score: 0.105
  19. Can we increase efficiency of CT lung cancer screening by combining with CVD and COPD screening? Results of an early economic evaluation. Eur Radiol. 2022 May; 32(5):3067-3075.
    View in: PubMed
    Score: 0.104
  20. Creating a training set for artificial intelligence from initial segmentations of airways. Eur Radiol Exp. 2021 11 29; 5(1):54.
    View in: PubMed
    Score: 0.104
  21. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. Eur J Radiol. 2022 Jan; 146:110068.
    View in: PubMed
    Score: 0.103
  22. Community-based lung cancer screening by low-dose computed tomography in China: First round results and a meta-analysis. Eur J Radiol. 2021 Nov; 144:109988.
    View in: PubMed
    Score: 0.102
  23. Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks. Eur Radiol. 2021 Oct; 31(10):7303-7315.
    View in: PubMed
    Score: 0.099
  24. Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage. Comput Methods Programs Biomed. 2020 Nov; 196:105620.
    View in: PubMed
    Score: 0.094
  25. Optimization of CT windowing for diagnosing invasiveness of adenocarcinoma presenting as sub-solid nodules. Eur J Radiol. 2020 Jul; 128:108981.
    View in: PubMed
    Score: 0.093
  26. Computed Tomography Screening for Early Lung Cancer, COPD and Cardiovascular Disease in Shanghai: Rationale and Design of a Population-based Comparative Study. Acad Radiol. 2021 01; 28(1):36-45.
    View in: PubMed
    Score: 0.092
  27. Clinical characteristics and work-up of small to intermediate-sized pulmonary nodules in a Chinese dedicated cancer hospital. Cancer Biol Med. 2020 02 15; 17(1):199-207.
    View in: PubMed
    Score: 0.092
  28. A Subsolid Nodules Imaging Reporting System (SSN-IRS) for Classifying 3 Subtypes of Pulmonary Adenocarcinoma. Clin Lung Cancer. 2020 07; 21(4):314-325.e4.
    View in: PubMed
    Score: 0.091
  29. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial. N Engl J Med. 2020 02 06; 382(6):503-513.
    View in: PubMed
    Score: 0.091
  30. New Fissure-Attached Nodules in Lung Cancer Screening: A Brief Report From The NELSON Study. J Thorac Oncol. 2020 01; 15(1):125-129.
    View in: PubMed
    Score: 0.089
  31. 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. 2019 May; 34(3):160-169.
    View in: PubMed
    Score: 0.087
  32. An Update on the European Lung Cancer Screening Trials and Comparison of Lung Cancer Screening Recommendations in Europe. J Thorac Imaging. 2019 Jan; 34(1):65-71.
    View in: PubMed
    Score: 0.085
  33. Persisting new nodules in incidence rounds of the NELSON CT lung cancer screening study. Thorax. 2019 03; 74(3):247-253.
    View in: PubMed
    Score: 0.085
  34. Assessing Lung Cancer Screening Programs under Uncertainty in a Heterogeneous Population. Value Health. 2018 11; 21(11):1269-1277.
    View in: PubMed
    Score: 0.084
  35. New Subsolid Pulmonary Nodules in Lung Cancer Screening: The NELSON Trial. J Thorac Oncol. 2018 09; 13(9):1410-1414.
    View in: PubMed
    Score: 0.082
  36. Relationship between the number of new nodules and lung cancer probability in incidence screening rounds of CT lung cancer screening: The NELSON study. Lung Cancer. 2018 11; 125:103-108.
    View in: PubMed
    Score: 0.081
  37. Characteristics of new solid nodules detected in incidence screening rounds of low-dose CT lung cancer screening: the NELSON study. Thorax. 2018 08; 73(8):741-747.
    View in: PubMed
    Score: 0.081
  38. Low-dose CT for lung cancer screening - Authors' reply. Lancet Oncol. 2018 03; 19(3):e135-e136.
    View in: PubMed
    Score: 0.080
  39. European position statement on lung cancer screening. Lancet Oncol. 2017 12; 18(12):e754-e766.
    View in: PubMed
    Score: 0.079
  40. Influence of lung nodule margin on volume- and diameter-based reader variability in CT lung cancer screening. Br J Radiol. 2018 Oct; 91(1090):20170405.
    View in: PubMed
    Score: 0.078
  41. Disagreement of diameter and volume measurements for pulmonary nodule size estimation in CT lung cancer screening. Thorax. 2018 08; 73(8):779-781.
    View in: PubMed
    Score: 0.078
  42. Management of Progressive Pulmonary Nodules Found?during and outside of CT Lung Cancer Screening Studies. J Thorac Oncol. 2017 12; 12(12):1755-1765.
    View in: PubMed
    Score: 0.078
  43. Public Preferences for Lung Cancer Screening Policies. Value Health. 2017 Jul - Aug; 20(7):961-968.
    View in: PubMed
    Score: 0.076
  44. Risk stratification based on screening history: the NELSON lung cancer screening study. Thorax. 2017 09; 72(9):819-824.
    View in: PubMed
    Score: 0.075
  45. Quantification of growth patterns of screen-detected lung cancers: The NELSON study. Lung Cancer. 2017 06; 108:48-54.
    View in: PubMed
    Score: 0.075
  46. Follow-up of CT-derived airway wall thickness: Correcting for changes in inspiration level improves reliability. Eur J Radiol. 2016 Nov; 85(11):2008-2013.
    View in: PubMed
    Score: 0.072
  47. Final screening round of the NELSON lung cancer screening trial: the effect of a 2.5-year screening interval. Thorax. 2017 01; 72(1):48-56.
    View in: PubMed
    Score: 0.071
  48. Occurrence and lung cancer probability of new solid nodules at incidence screening with low-dose CT: analysis of data from the randomised, controlled NELSON trial. Lancet Oncol. 2016 Jul; 17(7):907-916.
    View in: PubMed
    Score: 0.071
  49. Detection and size measurements of pulmonary nodules in ultra-low-dose CT with iterative reconstruction compared to low dose CT. Eur J Radiol. 2016 Mar; 85(3):564-70.
    View in: PubMed
    Score: 0.069
  50. Prognostic value of heart valve calcifications for cardiovascular events in a lung cancer screening population. Int J Cardiovasc Imaging. 2015 Aug; 31(6):1243-9.
    View in: PubMed
    Score: 0.066
  51. Contributions of the European trials (European randomized screening group) in computed tomography lung cancer screening. J Thorac Imaging. 2015 Mar; 30(2):101-7.
    View in: PubMed
    Score: 0.065
  52. Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules? Eur Respir J. 2015 Mar; 45(3):765-73.
    View in: PubMed
    Score: 0.064
  53. Interscan variation of semi-automated volumetry of subsolid pulmonary nodules. Eur Radiol. 2015 Apr; 25(4):1040-7.
    View in: PubMed
    Score: 0.064
  54. Quantification of coronary artery calcium in nongated CT to predict cardiovascular events in male lung cancer screening participants: results of the NELSON study. J Cardiovasc Comput Tomogr. 2015 Jan-Feb; 9(1):50-7.
    View in: PubMed
    Score: 0.064
  55. Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation. Eur Radiol. 2015 Feb; 25(2):488-96.
    View in: PubMed
    Score: 0.063
  56. Association of chronic obstructive pulmonary disease and smoking status with bone density and vertebral fractures in male lung cancer screening participants. J Bone Miner Res. 2014 Oct; 29(10):2224-9.
    View in: PubMed
    Score: 0.063
  57. Chronic respiratory symptoms associated with airway wall thickening measured by thin-slice low-dose CT. AJR Am J Roentgenol. 2014 Oct; 203(4):W383-90.
    View in: PubMed
    Score: 0.063
  58. Detection of lung cancer through low-dose CT screening (NELSON): a prespecified analysis of screening test performance and interval cancers. Lancet Oncol. 2014 Nov; 15(12):1342-50.
    View in: PubMed
    Score: 0.063
  59. Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening. Lancet Oncol. 2014 Nov; 15(12):1332-41.
    View in: PubMed
    Score: 0.063
  60. Computed tomographic characteristics of interval and post screen carcinomas in lung cancer screening. Eur Radiol. 2015 Jan; 25(1):81-8.
    View in: PubMed
    Score: 0.063
  61. Pulmonary function and CT biomarkers as risk factors for cardiovascular events in male lung cancer screening participants: the NELSON study. Eur Radiol. 2015 Jan; 25(1):65-71.
    View in: PubMed
    Score: 0.063
  62. Small irregular pulmonary nodules in low-dose CT: observer detection sensitivity and volumetry accuracy. AJR Am J Roentgenol. 2014 Mar; 202(3):W202-9.
    View in: PubMed
    Score: 0.061
  63. Semi-automatic quantification of subsolid pulmonary nodules: comparison with manual measurements. PLoS One. 2013; 8(11):e80249.
    View in: PubMed
    Score: 0.059
  64. Features of resolving and nonresolving indeterminate pulmonary nodules at follow-up CT: the NELSON study. Radiology. 2014 Mar; 270(3):872-9.
    View in: PubMed
    Score: 0.059
  65. Comparison of three software systems for semi-automatic volumetry of pulmonary nodules on baseline and follow-up CT examinations. Acta Radiol. 2014 Jul; 55(6):691-8.
    View in: PubMed
    Score: 0.059
  66. Volumetric computed tomography screening for lung cancer: three rounds of the NELSON trial. Eur Respir J. 2013 Dec; 42(6):1659-67.
    View in: PubMed
    Score: 0.058
  67. Impact of cardiovascular calcifications on the detrimental effect of continued smoking on cardiovascular risk in male lung cancer screening participants. PLoS One. 2013; 8(6):e66484.
    View in: PubMed
    Score: 0.058
  68. Lung cancer screening CT-based prediction of cardiovascular events. JACC Cardiovasc Imaging. 2013 Aug; 6(8):899-907.
    View in: PubMed
    Score: 0.058
  69. Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: independent contribution of emphysema, air trapping and bronchial wall thickening. Respir Res. 2013 May 27; 14:59.
    View in: PubMed
    Score: 0.057
  70. Systematic error in lung nodule volumetry: effect of iterative reconstruction versus filtered back projection at different CT parameters. AJR Am J Roentgenol. 2012 Dec; 199(6):1241-6.
    View in: PubMed
    Score: 0.056
  71. NELSON lung cancer screening study. Cancer Imaging. 2011 Oct 03; 11 Spec No A:S79-84.
    View in: PubMed
    Score: 0.051
  72. Smooth or attached solid indeterminate nodules detected at baseline CT screening in the NELSON study: cancer risk during 1 year of follow-up. Radiology. 2009 Jan; 250(1):264-72.
    View in: PubMed
    Score: 0.042
  73. Limited value of shape, margin and CT density in the discrimination between benign and malignant screen detected solid pulmonary nodules of the NELSON trial. Eur J Radiol. 2008 Nov; 68(2):347-52.
    View in: PubMed
    Score: 0.039
  74. Identification of chronic obstructive pulmonary disease in lung cancer screening computed tomographic scans. JAMA. 2011 Oct 26; 306(16):1775-81.
    View in: PubMed
    Score: 0.013
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