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Volume versus diameter assessment of small pulmonary nodules in CT lung cancer screening.

Translational lung cancer research

Han D, Heuvelmans MA, Oudkerk M.
PMID: 28331824
Transl Lung Cancer Res. 2017 Feb;6(1):52-61. doi: 10.21037/tlcr.2017.01.05.

Currently, lung cancer screening by low-dose chest CT is implemented in the United States for high-risk persons. A disadvantage of lung cancer screening is the large number of small-to-intermediate sized lung nodules, detected in around 50% of all participants,...

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Han D, Heuvelmans MA, Oudkerk M. Volume versus diameter assessment of small pulmonary nodules in CT lung cancer screening. Transl Lung Cancer Res. 2017;6(1):52-61doi: 10.21037/tlcr.2017.01.05.
Han, D., Heuvelmans, M. A., & Oudkerk, M. (2017). Volume versus diameter assessment of small pulmonary nodules in CT lung cancer screening. Translational lung cancer research, 6(1), 52-61. https://doi.org/10.21037/tlcr.2017.01.05
Han, Daiwei, et al. "Volume versus diameter assessment of small pulmonary nodules in CT lung cancer screening." Translational lung cancer research vol. 6,1 (2017): 52-61. doi: https://doi.org/10.21037/tlcr.2017.01.05
Han D, Heuvelmans MA, Oudkerk M. Volume versus diameter assessment of small pulmonary nodules in CT lung cancer screening. Transl Lung Cancer Res. 2017 Feb;6(1):52-61. doi: 10.21037/tlcr.2017.01.05. PMID: 28331824; PMCID: PMC5344834.
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Motion Control of Polymeric Nanomotors Based on Host-Guest Interactions.

Angewandte Chemie (International ed. in English)

Tu Y, Peng F, Heuvelmans JM, Liu S, Nolte RJM, Wilson DA.
PMID: 30938901
Angew Chem Int Ed Engl. 2019 Jun 24;58(26):8687-8691. doi: 10.1002/anie.201900917. Epub 2019 May 20.

Controlling the motion of artificial self-propelled micro- and nanomotors independent of the fuel concentration is still a great challenge. Here we describe the first report of speed manipulation of supramolecular nanomotors via blue light-responsive valves, which can regulate the...

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Tu Y, Peng F, Heuvelmans JM, et al. Motion Control of Polymeric Nanomotors Based on Host-Guest Interactions. Angew Chem Int Ed Engl. 2019;58(26):8687-8691doi: 10.1002/anie.201900917.
Tu, Y., Peng, F., Heuvelmans, J. M., Liu, S., Nolte, R. J. M., & Wilson, D. A. (2019). Motion Control of Polymeric Nanomotors Based on Host-Guest Interactions. Angewandte Chemie (International ed. in English), 58(26), 8687-8691. https://doi.org/10.1002/anie.201900917
Tu, Yingfeng, et al. "Motion Control of Polymeric Nanomotors Based on Host-Guest Interactions." Angewandte Chemie (International ed. in English) vol. 58,26 (2019): 8687-8691. doi: https://doi.org/10.1002/anie.201900917
Tu Y, Peng F, Heuvelmans JM, Liu S, Nolte RJM, Wilson DA. Motion Control of Polymeric Nanomotors Based on Host-Guest Interactions. Angew Chem Int Ed Engl. 2019 Jun 24;58(26):8687-8691. doi: 10.1002/anie.201900917. Epub 2019 May 20. PMID: 30938901.
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Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study.

Cancer biology & medicine

Du Y, Zhao Y, Sidorenkov G, de Bock GH, Cui X, Huang Y, Dorrius MD, Rook M, Groen HJM, Heuvelmans MA, Vliegenthart R, Chen K, Xie X, Liu S, Oudkerk M, Ye Z.
PMID: 31119059
Cancer Biol Med. 2019 Feb;16(1):181-188. doi: 10.20892/j.issn.2095-3941.2018.0237.

OBJECTIVE: European lung cancer screening studies using computed tomography (CT) have shown that a management protocol based on measuring lung nodule volume and volume doubling time (VDT) is more specific for early lung cancer detection than a diameter-based protocol....

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Du Y, Zhao Y, Sidorenkov G, et al. Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study. Cancer Biol Med. 2019;16(1):181-188doi: 10.20892/j.issn.2095-3941.2018.0237.
Du, Y., Zhao, Y., Sidorenkov, G., de Bock, G. H., Cui, X., Huang, Y., Dorrius, M. D., Rook, M., Groen, H. J. M., Heuvelmans, M. A., Vliegenthart, R., Chen, K., Xie, X., Liu, S., Oudkerk, M., & Ye, Z. (2019). Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study. Cancer biology & medicine, 16(1), 181-188. https://doi.org/10.20892/j.issn.2095-3941.2018.0237
Du, Yihui, et al. "Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study." Cancer biology & medicine vol. 16,1 (2019): 181-188. doi: https://doi.org/10.20892/j.issn.2095-3941.2018.0237
Du Y, Zhao Y, Sidorenkov G, de Bock GH, Cui X, Huang Y, Dorrius MD, Rook M, Groen HJM, Heuvelmans MA, Vliegenthart R, Chen K, Xie X, Liu S, Oudkerk M, Ye Z. Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study. Cancer Biol Med. 2019 Feb;16(1):181-188. doi: 10.20892/j.issn.2095-3941.2018.0237. PMID: 31119059; PMCID: PMC6528449.
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Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.

European journal of radiology

Cui X, Zheng S, Heuvelmans MA, Du Y, Sidorenkov G, Fan S, Li Y, Xie Y, Zhu Z, Dorrius MD, Zhao Y, Veldhuis RNJ, de Bock GH, Oudkerk M, van Ooijen PMA, Vliegenthart R, Ye Z.
PMID: 34871936
Eur J Radiol. 2021 Nov 24;146:110068. doi: 10.1016/j.ejrad.2021.110068. Epub 2021 Nov 24.

OBJECTIVE: To evaluate the performance of a deep learning-based computer-aided detection (DL-CAD) system in a Chinese low-dose CT (LDCT) lung cancer screening program.MATERIALS AND METHODS: One-hundred-and-eighty individuals with a lung nodule on their baseline LDCT lung cancer screening scan...

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Cui X, Zheng S, Heuvelmans MA, et al. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. Eur J Radiol. 2021;146:110068doi: 10.1016/j.ejrad.2021.110068.
Cui, X., Zheng, S., Heuvelmans, M. A., Du, Y., Sidorenkov, G., Fan, S., Li, Y., Xie, Y., Zhu, Z., Dorrius, M. D., Zhao, Y., Veldhuis, R. N. J., de Bock, G. H., Oudkerk, M., van Ooijen, P. M. A., Vliegenthart, R., & Ye, Z. (2021). Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. European journal of radiology, 146110068. https://doi.org/10.1016/j.ejrad.2021.110068
Cui, Xiaonan, et al. "Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program." European journal of radiology vol. 146 (2021): 110068. doi: https://doi.org/10.1016/j.ejrad.2021.110068
Cui X, Zheng S, Heuvelmans MA, Du Y, Sidorenkov G, Fan S, Li Y, Xie Y, Zhu Z, Dorrius MD, Zhao Y, Veldhuis RNJ, de Bock GH, Oudkerk M, van Ooijen PMA, Vliegenthart R, Ye Z. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. Eur J Radiol. 2021 Nov 24;146:110068. doi: 10.1016/j.ejrad.2021.110068. Epub 2021 Nov 24. PMID: 34871936.
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Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.

European journal of radiology

Cui X, Zheng S, Heuvelmans MA, Du Y, Sidorenkov G, Fan S, Li Y, Xie Y, Zhu Z, Dorrius MD, Zhao Y, Veldhuis RNJ, de Bock GH, Oudkerk M, van Ooijen PMA, Vliegenthart R, Ye Z.
PMID: 34871936
Eur J Radiol. 2022 Jan;146:110068. doi: 10.1016/j.ejrad.2021.110068. Epub 2021 Nov 24.

OBJECTIVE: To evaluate the performance of a deep learning-based computer-aided detection (DL-CAD) system in a Chinese low-dose CT (LDCT) lung cancer screening program.MATERIALS AND METHODS: One-hundred-and-eighty individuals with a lung nodule on their baseline LDCT lung cancer screening scan...

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Cui X, Zheng S, Heuvelmans MA, et al. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. Eur J Radiol. 2021;146:110068doi: 10.1016/j.ejrad.2021.110068.
Cui, X., Zheng, S., Heuvelmans, M. A., Du, Y., Sidorenkov, G., Fan, S., Li, Y., Xie, Y., Zhu, Z., Dorrius, M. D., Zhao, Y., Veldhuis, R. N. J., de Bock, G. H., Oudkerk, M., van Ooijen, P. M. A., Vliegenthart, R., & Ye, Z. (2022). Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. European journal of radiology, 146110068. https://doi.org/10.1016/j.ejrad.2021.110068
Cui, Xiaonan, et al. "Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program." European journal of radiology vol. 146 (2022): 110068. doi: https://doi.org/10.1016/j.ejrad.2021.110068
Cui X, Zheng S, Heuvelmans MA, Du Y, Sidorenkov G, Fan S, Li Y, Xie Y, Zhu Z, Dorrius MD, Zhao Y, Veldhuis RNJ, de Bock GH, Oudkerk M, van Ooijen PMA, Vliegenthart R, Ye Z. 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. doi: 10.1016/j.ejrad.2021.110068. Epub 2021 Nov 24. PMID: 34871936.
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A contrast-enhanced-CT-based classification tree model for classifying malignancy of solid lung tumors in a Chinese clinical population.

Journal of thoracic disease

Cui X, Heuvelmans MA, Sidorenkov G, Zhao Y, Fan S, Groen HJM, Dorrius MD, Oudkerk M, de Bock GH, Vliegenthart R, Ye Z.
PMID: 34422367
J Thorac Dis. 2021 Jul;13(7):4407-4417. doi: 10.21037/jtd-21-588.

BACKGROUND: To develop and validate a contrast-enhanced CT based classification tree model for classifying solid lung tumors in clinical patients into malignant or benign.METHODS: Between January 2015 and October 2017, 827 pathologically confirmed solid lung tumors (487 malignant, 340...

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Cui X, Heuvelmans MA, Sidorenkov G, et al. A contrast-enhanced-CT-based classification tree model for classifying malignancy of solid lung tumors in a Chinese clinical population. J Thorac Dis. 2021;13(7):4407-4417doi: 10.21037/jtd-21-588.
Cui, X., Heuvelmans, M. A., Sidorenkov, G., Zhao, Y., Fan, S., Groen, H. J. M., Dorrius, M. D., Oudkerk, M., de Bock, G. H., Vliegenthart, R., & Ye, Z. (2021). A contrast-enhanced-CT-based classification tree model for classifying malignancy of solid lung tumors in a Chinese clinical population. Journal of thoracic disease, 13(7), 4407-4417. https://doi.org/10.21037/jtd-21-588
Cui, Xiaonan, et al. "A contrast-enhanced-CT-based classification tree model for classifying malignancy of solid lung tumors in a Chinese clinical population." Journal of thoracic disease vol. 13,7 (2021): 4407-4417. doi: https://doi.org/10.21037/jtd-21-588
Cui X, Heuvelmans MA, Sidorenkov G, Zhao Y, Fan S, Groen HJM, Dorrius MD, Oudkerk M, de Bock GH, Vliegenthart R, Ye Z. A contrast-enhanced-CT-based classification tree model for classifying malignancy of solid lung tumors in a Chinese clinical population. J Thorac Dis. 2021 Jul;13(7):4407-4417. doi: 10.21037/jtd-21-588. PMID: 34422367; PMCID: PMC8339765.
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Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.

European journal of radiology

Cui X, Zheng S, Heuvelmans MA, Du Y, Sidorenkov G, Fan S, Li Y, Xie Y, Zhu Z, Dorrius MD, Zhao Y, Veldhuis RNJ, de Bock GH, Oudkerk M, van Ooijen PMA, Vliegenthart R, Ye Z.
PMID: 34871936
Eur J Radiol. 2021 Nov 24;146:110068. doi: 10.1016/j.ejrad.2021.110068. Epub 2021 Nov 24.

OBJECTIVE: To evaluate the performance of a deep learning-based computer-aided detection (DL-CAD) system in a Chinese low-dose CT (LDCT) lung cancer screening program.MATERIALS AND METHODS: One-hundred-and-eighty individuals with a lung nodule on their baseline LDCT lung cancer screening scan...

Cite
Cui X, Zheng S, Heuvelmans MA, et al. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. Eur J Radiol. 2021;146:110068doi: 10.1016/j.ejrad.2021.110068.
Cui, X., Zheng, S., Heuvelmans, M. A., Du, Y., Sidorenkov, G., Fan, S., Li, Y., Xie, Y., Zhu, Z., Dorrius, M. D., Zhao, Y., Veldhuis, R. N. J., de Bock, G. H., Oudkerk, M., van Ooijen, P. M. A., Vliegenthart, R., & Ye, Z. (2021). Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. European journal of radiology, 146110068. https://doi.org/10.1016/j.ejrad.2021.110068
Cui, Xiaonan, et al. "Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program." European journal of radiology vol. 146 (2021): 110068. doi: https://doi.org/10.1016/j.ejrad.2021.110068
Cui X, Zheng S, Heuvelmans MA, Du Y, Sidorenkov G, Fan S, Li Y, Xie Y, Zhu Z, Dorrius MD, Zhao Y, Veldhuis RNJ, de Bock GH, Oudkerk M, van Ooijen PMA, Vliegenthart R, Ye Z. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program. Eur J Radiol. 2021 Nov 24;146:110068. doi: 10.1016/j.ejrad.2021.110068. Epub 2021 Nov 24. PMID: 34871936.
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Appropriate screening intervals in low-dose CT lung cancer screening.

Translational lung cancer research

Heuvelmans MA, Oudkerk M.
PMID: 30050766
Transl Lung Cancer Res. 2018 Jun;7(3):281-287. doi: 10.21037/tlcr.2018.05.08.

Lung cancer screening by low-dose chest CT (LDCT) is now being implemented in the United States, and in Europe it was recently recommended to start planning for implementation. Current lung cancer screening programmes include up to 25 annual LDCTs,...

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Heuvelmans MA, Oudkerk M. Appropriate screening intervals in low-dose CT lung cancer screening. Transl Lung Cancer Res. 2018;7(3):281-287doi: 10.21037/tlcr.2018.05.08.
Heuvelmans, M. A., & Oudkerk, M. (2018). Appropriate screening intervals in low-dose CT lung cancer screening. Translational lung cancer research, 7(3), 281-287. https://doi.org/10.21037/tlcr.2018.05.08
Heuvelmans, Marjolein A, and Oudkerk, Matthijs. "Appropriate screening intervals in low-dose CT lung cancer screening." Translational lung cancer research vol. 7,3 (2018): 281-287. doi: https://doi.org/10.21037/tlcr.2018.05.08
Heuvelmans MA, Oudkerk M. Appropriate screening intervals in low-dose CT lung cancer screening. Transl Lung Cancer Res. 2018 Jun;7(3):281-287. doi: 10.21037/tlcr.2018.05.08. PMID: 30050766; PMCID: PMC6037974.
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Sex bias in autism spectrum disorder in neurofibromatosis type 1.

Journal of neurodevelopmental disorders

Garg S, Heuvelman H, Huson S, Tobin H, Green J.
PMID: 27516813
J Neurodev Disord. 2016 Jul 26;8:26. doi: 10.1186/s11689-016-9159-4. eCollection 2016.

BACKGROUND: Despite extensive literature, little is known about the mechanisms underlying sex bias in autism spectrum disorder (ASD). This study investigates the sex differences in ASD associated with neurofibromatosis type 1, a single-gene model of syndromic autism.METHODS: We analysed...

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Garg S, Heuvelman H, Huson S, et al. Sex bias in autism spectrum disorder in neurofibromatosis type 1. J Neurodev Disord. 2016;8:26doi: 10.1186/s11689-016-9159-4.
Garg, S., Heuvelman, H., Huson, S., Tobin, H., Green, J. (2016). Sex bias in autism spectrum disorder in neurofibromatosis type 1. Journal of neurodevelopmental disorders, 826. https://doi.org/10.1186/s11689-016-9159-4
Garg, Shruti, et al. "Sex bias in autism spectrum disorder in neurofibromatosis type 1." Journal of neurodevelopmental disorders vol. 8 (2016): 26. doi: https://doi.org/10.1186/s11689-016-9159-4
Garg S, Heuvelman H, Huson S, Tobin H, Green J. Sex bias in autism spectrum disorder in neurofibromatosis type 1. J Neurodev Disord. 2016 Jul 26;8:26. doi: 10.1186/s11689-016-9159-4. eCollection 2016. PMID: 27516813; PMCID: PMC4980803.
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Quality of life among patients with severe aortic stenosis.

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation

van Geldorp MW, Heuvelman HJ, Kappetein AP, Busschbach JJ, Cohen DJ, Takkenberg JJ, Bogers AJ.
PMID: 23229811
Neth Heart J. 2013 Jan;21(1):21-7. doi: 10.1007/s12471-012-0364-9.

BACKGROUND: The disease burden of patients with severe aortic stenosis is not often explored, while the incidence is increasing and many patients who have an indication for aortic valve replacement are not referred for surgery. We studied the quality...

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van Geldorp MW, Heuvelman HJ, Kappetein AP, et al. Quality of life among patients with severe aortic stenosis. Neth Heart J. 2013;21(1):21-7doi: 10.1007/s12471-012-0364-9.
van Geldorp, M. W., Heuvelman, H. J., Kappetein, A. P., Busschbach, J. J., Cohen, D. J., Takkenberg, J. J., & Bogers, A. J. (2013). Quality of life among patients with severe aortic stenosis. Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation, 21(1), 21-7. https://doi.org/10.1007/s12471-012-0364-9
van Geldorp, M W A, et al. "Quality of life among patients with severe aortic stenosis." Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation vol. 21,1 (2013): 21-7. doi: https://doi.org/10.1007/s12471-012-0364-9
van Geldorp MW, Heuvelman HJ, Kappetein AP, Busschbach JJ, Cohen DJ, Takkenberg JJ, Bogers AJ. Quality of life among patients with severe aortic stenosis. Neth Heart J. 2013 Jan;21(1):21-7. doi: 10.1007/s12471-012-0364-9. PMID: 23229811; PMCID: PMC3528854.
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The effect of aortic valve replacement on quality of life in symptomatic patients with severe aortic stenosis.

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation

van Geldorp MW, Heuvelman HJ, Kappetein AP, Busschbach JJ, Takkenberg JJ, Bogers AJ.
PMID: 23239448
Neth Heart J. 2013 Jan;21(1):28-35. doi: 10.1007/s12471-012-0362-y.

BACKGROUND: Although symptomatic patients with severe aortic stenosis have a high disease burden and guidelines recommend aortic valve replacement, many are treated conservatively. This study describes to what extent quality of life is changed by aortic valve replacement relative...

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van Geldorp MW, Heuvelman HJ, Kappetein AP, et al. The effect of aortic valve replacement on quality of life in symptomatic patients with severe aortic stenosis. Neth Heart J. 2013;21(1):28-35doi: 10.1007/s12471-012-0362-y.
van Geldorp, M. W., Heuvelman, H. J., Kappetein, A. P., Busschbach, J. J., Takkenberg, J. J., & Bogers, A. J. (2013). The effect of aortic valve replacement on quality of life in symptomatic patients with severe aortic stenosis. Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation, 21(1), 28-35. https://doi.org/10.1007/s12471-012-0362-y
van Geldorp, M W A, et al. "The effect of aortic valve replacement on quality of life in symptomatic patients with severe aortic stenosis." Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation vol. 21,1 (2013): 28-35. doi: https://doi.org/10.1007/s12471-012-0362-y
van Geldorp MW, Heuvelman HJ, Kappetein AP, Busschbach JJ, Takkenberg JJ, Bogers AJ. The effect of aortic valve replacement on quality of life in symptomatic patients with severe aortic stenosis. Neth Heart J. 2013 Jan;21(1):28-35. doi: 10.1007/s12471-012-0362-y. PMID: 23239448; PMCID: PMC3528853.
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Intelligence in offspring born to women exposed to intimate partner violence: a population-based cohort study.

Wellcome open research

Abel KM, Heuvelman H, Rai D, Timpson NJ, Sarginson J, Shallcross R, Mitchell H, Hope H, Emsley R.
PMID: 31681855
Wellcome Open Res. 2019 Jul 10;4:107. doi: 10.12688/wellcomeopenres.15270.1. eCollection 2019.

No abstract available.

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Abel KM, Heuvelman H, Rai D, et al. Intelligence in offspring born to women exposed to intimate partner violence: a population-based cohort study. Wellcome Open Res. 2019;4:107doi: 10.12688/wellcomeopenres.15270.1.
Abel, K. M., Heuvelman, H., Rai, D., Timpson, N. J., Sarginson, J., Shallcross, R., Mitchell, H., Hope, H., & Emsley, R. (2019). Intelligence in offspring born to women exposed to intimate partner violence: a population-based cohort study. Wellcome open research, 4107. https://doi.org/10.12688/wellcomeopenres.15270.1
Abel, Kathryn M, et al. "Intelligence in offspring born to women exposed to intimate partner violence: a population-based cohort study." Wellcome open research vol. 4 (2019): 107. doi: https://doi.org/10.12688/wellcomeopenres.15270.1
Abel KM, Heuvelman H, Rai D, Timpson NJ, Sarginson J, Shallcross R, Mitchell H, Hope H, Emsley R. Intelligence in offspring born to women exposed to intimate partner violence: a population-based cohort study. Wellcome Open Res. 2019 Jul 10;4:107. doi: 10.12688/wellcomeopenres.15270.1. eCollection 2019. PMID: 31681855; PMCID: PMC6820818.
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