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International Journal of Chronic Obstructive Pulmonary Disease Volume 14, 2019 - Issue
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Original Research

Quantitative CT analysis in patients with pulmonary emphysema: is lung function influenced by concomitant unspecific pulmonary fibrosis?

Felix W Feldhaus1 Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Department of Radiology, Berlin, GermanyCorrespondence[email protected]
,
Dorothea Cornelia Theilig1 Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Department of Radiology, Berlin, Germany
,
Ralf-Harto Hubner2 Department of Internal Medicine/Infectious and Respiratory Disease, Charité Universitätsmedizin Berlin, Berlin, Germany
,
Jan-Martin Kuhnigk3 Institute for Medical Image Computing, Fraunhofer MEVIS, Bremen, Germany
,
Konrad Neumann4 Institute of Biometrics and Clinical Epidemiology, Charité Universitätsmedizin Berlin, Berlin, Gemany
&
Felix Doellinger1 Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Department of Radiology, Berlin, Germany
Pages 1583-1593 | Published online: 17 Jul 2019

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Yanyan Xu, Tian Liang, Yanhui Ma, Sheng Xie, Hongliang Sun, Lei Wang & Yinghao Xu. (2022) Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT. International Journal of Chronic Obstructive Pulmonary Disease 17, pages 1121-1130.
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Articles from other publishers (5)

Yan Wang, Limin Chai, Yuqian Chen, Jin Liu, Qingting Wang, Qianqian Zhang, Yuanjie Qiu, Danyang Li, Huan Chen, Nirui Shen, Xiangyu Shi, Jian Wang, Xinming Xie & Manxiang Li. (2023) Quantitative CT parameters correlate with lung function in chronic obstructive pulmonary disease: A systematic review and meta-analysis. Frontiers in Surgery 9.
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Dan Zhu, Chen Qiao, Huiling Dai, Yunqian Hu & Qian Xi. (2022) Diagnostic efficacy of visual subtypes and low attenuation area based on HRCT in the diagnosis of COPD. BMC Pulmonary Medicine 22:1.
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Qing Liu, Di Sun, Yu Wang, Pengfei Li, Tianci Jiang, Lingling Dai, Mengjie Duo, Ruhao Wu & Zhe Cheng. (2022) Use of machine learning models to predict prognosis of combined pulmonary fibrosis and emphysema in a Chinese population. BMC Pulmonary Medicine 22:1.
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N. A. Griva, P. V. Gavrilov, I. A. Nikitina, L. D. Kiryukhina, A. N. Narkevich & E. G. Sokolovich. (2022) Impact of Emphysema Subtypes and Volume on Lung Ventilation and Gas Exchange Functions as Evidenced by Computed Tomography. Journal of radiology and nuclear medicine 102:6, pages 349-358.
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Hiroyuki Sugimori, Kaoruko Shimizu, Hironi Makita, Masaru Suzuki & Satoshi Konno. (2021) A Comparative Evaluation of Computed Tomography Images for the Classification of Spirometric Severity of the Chronic Obstructive Pulmonary Disease with Deep Learning. Diagnostics 11:6, pages 929.
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