Strain Analysis in Patients at High-Risk for COPD Using Four-Dimensional Dynamic-Ventilation CT

References

• Celli BR, Wedzicha JA. Update on clinical aspects of chronic obstructive pulmonary disease. N Engl J Med. 2019;381(13):1257–1266. doi:10.1056/NEJMra1900500
   PubMed Web of Science ®Google Scholar
• Celli BR, MacNee W; ATS/ERS Task Force. Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper. Eur Respir J. 2006;27(1):242.
   Web of Science ®Google Scholar
• Matsuoka S, Yamashiro T, Washko GR, Kurihara Y, Nakajima Y, Hatabu H. Quantitative CT assessment of chronic obstructive pulmonary disease. Radiographics. 2010;30(1):55–66. doi:10.1148/rg.301095110
   PubMed Web of Science ®Google Scholar
• Kang HS, Bak SH, Oh HY, et al. Computed tomography-based visual assessment of chronic obstructive pulmonary disease: comparison with pulmonary function test and quantitative computed tomography. J Thorac Dis. 2021;13(3):1495–1506. doi:10.21037/jtd-20-3041
   PubMed Web of Science ®Google Scholar
• MacNeil JL, Capaldi DPI, Westcott AR, et al. Pulmonary imaging phenotypes of chronic obstructive pulmonary disease using multiparametric response maps. Radiology. 2020;295(1):227–236. doi:10.1148/radiol.2020191735
   PubMed Web of Science ®Google Scholar
• Park J, Hobbs BD, Crapo JD, et al. Subtyping COPD by using visual and quantitative CT imaging features. Chest. 2020;157(1):47–60. doi:10.1016/j.chest.2019.06.015
   PubMed Web of Science ®Google Scholar
• Feldhaus FW, Theilig DC, Hubner RH, Kuhnigk JM, Neumann K, Doellinger F. Quantitative CT analysis in patients with pulmonary emphysema: is lung function influenced by concomitant unspecific pulmonary fibrosis? Int J Chron Obstruct Pulmon Dis. 2019;14:1583–1593. doi:10.2147/COPD.S204007
   PubMed Web of Science ®Google Scholar
• Oh AS, Strand M, Pratte K, et al. Visual emphysema at chest CT in GOLD Stage 0 cigarette smokers predicts disease progression: results from the COPDGene study. Radiology. 2020;296(3):641–649. doi:10.1148/radiol.2020192429
   PubMed Web of Science ®Google Scholar
• Cosío BG, Pascual-Guardia S, Borras-Santos A, et al. Phenotypic characterisation of early COPD: a prospective case-control study. ERJ Open Res. 2020;6(4):00047–2020. doi:10.1183/23120541.00047-2020
   PubMedGoogle Scholar
• El Kaddouri B, Strand MJ, Baraghoshi D, et al. Fleischner society visual emphysema CT patterns help predict progression of emphysema in current and former smokers: results from the COPDGene study. Radiology. 2021;298(2):441–449. doi:10.1148/radiol.2020200563
   PubMed Web of Science ®Google Scholar
• Virdee S, Tan WC, Hogg JC, et al. Spatial dependence of CT emphysema in chronic obstructive pulmonary disease quantified by using join-count statistics. Radiology. 2021;301(3):702–709. doi:10.1148/radiol.2021210198
   PubMed Web of Science ®Google Scholar
• Lange P, Halpin DM, O’Donnell DE, MacNee W. Diagnosis, assessment, and phenotyping of COPD: beyond FEV₁. Int J Chron Obstruct Pulmon Dis. 2016;11:3–12.
   PubMedGoogle Scholar
• Regan EA, Hokanson JE, Murphy JR, et al. Genetic epidemiology of COPD (COPDGene) study design. COPD. 2010;7(1):32–43. doi:10.3109/15412550903499522
   PubMedGoogle Scholar
• Couper D, LaVange LM, Han M, et al.; SPIROMICS Research Group. Design of the subpopulations and intermediate outcomes in COPD study (SPIROMICS). Thorax. 2014;69(5):491–494. doi:10.1136/thoraxjnl-2013-203897.
   PubMed Web of Science ®Google Scholar
• Thomashow MA, Shimbo D, Parikh MA, et al. Endothelial microparticles in mild chronic obstructive pulmonary disease and emphysema. The multi-ethnic study of atherosclerosis chronic obstructive pulmonary disease study. Am J Respir Crit Care Med. 2013;188(1):60–68. doi:10.1164/rccm.201209-1697OC
   PubMed Web of Science ®Google Scholar
• Yamashiro T, Moriya H, Matsuoka S, et al. Asynchrony in respiratory movements between the pulmonary lobes in patients with COPD: continuous measurement of lung density by 4-dimensional dynamic-ventilation CT. Int J Chron Obstruct Pulmon Dis. 2017;12:2101–2109. doi:10.2147/COPD.S140247
   PubMed Web of Science ®Google Scholar
• Xu Y, Yamashiro T, Moriya H, et al. Strain measurement on four-dimensional dynamic-ventilation CT: quantitative analysis of abnormal respiratory deformation of the lung in COPD. Int J Chron Obstruct Pulmon Dis. 2018;14:65–72. doi:10.2147/COPD.S183740
   PubMed Web of Science ®Google Scholar
• Mochizuki E, Kawai Y, Morikawa K, et al. Difference in local lung movement during tidal breathing between COPD patients and asthma patients assessed by four-dimensional dynamic-ventilation CT scan. Int J Chron Obstruct Pulmon Dis. 2020;15:3013–3023. doi:10.2147/COPD.S273425
   PubMed Web of Science ®Google Scholar
• Cruces P, Erranz B, Lillo F, et al. Mapping regional strain in anesthetised healthy subjects during spontaneous ventilation. BMJ Open Respir Res. 2019;6(1):e000423. doi:10.1136/bmjresp-2019-000423
   PubMed Web of Science ®Google Scholar
• Tanabe Y, Kido T, Kurata A, et al. Three-dimensional maximum principal strain using cardiac computed tomography for identification of myocardial infarction. Eur Radiol. 2017;27(4):1667–1675. doi:10.1007/s00330-016-4550-9
   PubMed Web of Science ®Google Scholar
• Joseph S, Moazami N, Cupps BP, et al. Magnetic resonance imaging-based multiparametric systolic strain analysis and regional contractile heterogeneity in patients with dilated cardiomyopathy. J Heart Lung Transplant. 2009;28(4):388–394. doi:10.1016/j.healun.2008.12.018
   PubMed Web of Science ®Google Scholar
• Haugaa KH, Smedsrud MK, Steen T, et al. Mechanical dispersion assessed by myocardial strain in patients after myocardial infarction for risk prediction of ventricular arrhythmia. JACC Cardiovasc Imaging. 2010;3(3):247–256. doi:10.1016/j.jcmg.2009.11.012
   PubMed Web of Science ®Google Scholar
• Niu J, Zeng M, Wang Y, et al. Sensitive marker for evaluation of hypertensive heart disease: extracellular volume and myocardial strain. BMC Cardiovasc Disord. 2020;20(1):292. doi:10.1186/s12872-020-01553-7
   PubMed Web of Science ®Google Scholar
• Huda W, Ogden KM, Khorasani MR. Converting dose-length product to effective dose at CT. Radiology. 2008;248(3):995–1003. doi:10.1148/radiol.2483071964
   PubMed Web of Science ®Google Scholar
• Jacob J, Bartholmai BJ, Rajagopalan S, et al. Serial automated quantitative CT analysis in idiopathic pulmonary fibrosis: functional correlations and comparison with changes in visual CT scores. Eur Radiol. 2018;28(3):1318–1327. doi:10.1007/s00330-017-5053-z
   PubMed Web of Science ®Google Scholar
• Bates JH. Systems physiology of the airways in health and obstructive pulmonary disease. Wiley Interdiscip Rev Syst Biol Med. 2016;8(5):423–437. doi:10.1002/wsbm.1347
   PubMed Web of Science ®Google Scholar
• Bodduluri S, Bhatt SP, Hoffman EA, et al.; COPDGene Investigators. Biomechanical CT metrics are associated with patient outcomes in COPD. Thorax. 2017;72(5):409–414. doi:10.1136/thoraxjnl-2016-209544
   PubMed Web of Science ®Google Scholar
• Xiao L, Jiang Y, Zhang J, Parascandola M. Secondhand smoke exposure among nonsmokers in China. Asian Pac J Cancer Prev. 2020;21(S1):17–22. doi:10.31557/APJCP.2020.21.1.1
   PubMedGoogle Scholar
• Yamashiro T, Miyara T, Honda O, et al. Iterative reconstruction for quantitative computed tomography analysis of emphysema: consistent results using different tube currents. Int J Chron Obstruct Pulmon Dis. 2015;10:321–327. doi:10.2147/COPD.S74810
   PubMed Web of Science ®Google Scholar
• Nakamura Y, Higaki T, Tatsugami F, et al. possibility of deep learning in medical imaging focusing improvement of computed tomography image quality. J Comput Assist Tomogr. 2020;44(2):161–167. doi:10.1097/RCT.0000000000000928
   PubMed Web of Science ®Google Scholar
• Singh R, Digumarthy SR, Muse VV, et al. Image quality and lesion detection on deep learning reconstruction and iterative reconstruction of submillisievert chest and abdominal CT. AJR Am J Roentgenol. 2020;214(3):566–573. doi:10.2214/AJR.19.21809
   PubMed Web of Science ®Google Scholar