Theoretical feasibility of dual-energy radiography for structural and functional imaging of chronic obstructive pulmonary disease.
chronic obstructive pulmonary disease
contrast-enhanced radiography
dual-energy radiography
functional imaging
image quality
thoracic imaging
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Dec 2020
Dec 2020
Historique:
received:
13
04
2020
revised:
12
09
2020
accepted:
25
09
2020
pubmed:
11
10
2020
medline:
15
5
2021
entrez:
10
10
2020
Statut:
ppublish
Résumé
Chronic obstructive pulmonary disease (COPD) affects ∼200 million people worldwide. We propose two-dimensional (2D) dual-energy (DE) x-ray imaging of lung structure and function for the assessment of COPD, and investigate the resulting image quality theoretically. We investigated xenon-enhanced DE (XeDE) radiography for functional imaging of COPD and unenhanced DE radiography for structural imaging of COPD. We modeled the ability of human observers to detect ventilation defects in XeDE images and emphysema in (unenhanced) DE images using the detectability index ( Models of signal and noise agreed well with published data, and model predictions of the detectability of emphysema by SE radiography were consistent with poor sensitivity (i.e., Dual-energy radiography may offer modest improvements in the detection of emphysema relative to SE imaging, but will unlikely enable detecting mild and moderate COPD. However, XeDE radiography may enable detection of functional abnormalities associated with mild, moderate and severe COPD at x-ray exposures typical of those used in conventional chest radiography, thus warranting further investigation as a low-dose, low-cost alternative to CT- and MRI-based approaches for functional imaging of COPD.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
6191-6206Informations de copyright
© 2020 American Association of Physicists in Medicine.
Références
Cruz AA. Global surveillance, prevention and control of chronic respiratory diseases: a comprehensive approach. World Health Organization; 2007.
Mittmann N, Kuramoto L, Seung S, Haddon J, Bradley-Kennedy C, Fitzgerald J. The cost of moderate and severe COPD exacerbations to the Canadian healthcare system. Respir Med 2008;102:413-421.
Vogelmeier CF, Criner GJ, Martinez FJ, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary. Am J Respir Crit Care Med 2017;195:557-582.
Regan EA, Lynch DA, Curran-Everett D, et al. and G. E. of COPD (COPDGene) Investigators, Clinical and radiologic disease in smokers with normal spirometry. JAMA Intern Med 2015;175:1539-1549.
Woodruff PG, Barr RG, Bleecker E, et al. and S.R. Group, Clinical significance of symptoms in smokers with preserved pulmonary function. N Engl J Med. 2016;374:1811-1821.
Pike D, Kirby M, Guo F, McCormack DG, Parraga G. Ventilation heterogeneity in ex-smokers without airflow limitation. Acad Radiol. 2015;22:1068-1078.
Fain SB, Panth SR, Evans MD, et al. Early emphysematous changes in asymptomatic smokers: detection with 3He MR imaging. Radiology 2006;239:875-883.
Hogg JC. Pathophysiology of airflow limitation in chronic obstructive pulmonary disease. Lancet 2004;364:709-721.
Washko GR. Diagnostic imaging in COPD. In Seminars in Respiratory and Critical Care Medicine. Vol. 31. New York, NY: © Thieme Medical Publishers; 2010:276-285.
Miniati M, Monti S, Stolk J, et al. Value of chest radiography in phenotyping chronic obstructive pulmonary disease. Eur Respir J. 2008;31:509-515.
Sanders C, Nath PH, Bailey WC. Detection of emphysema with computed tomography. Correlation with pulmonary function tests and chest radiography. Invest Radiol 1988;23:262-266.
Yamada Y, Jinzaki M, Hashimoto M, et al. Tomosynthesis for the early detection of pulmonary emphysema: diagnostic performance compared with chest radiography, using multidetector computed tomography as reference. Eur Radiol 2013;23:2118-2126.
McDonough JE, Yuan R, Suzuki M. et al. Small-airway obstruction and emphysema in chronic obstructive pulmonary disease. N Engl J Med 2011;365:1567-1575.
Bhatt SP, Soler X, Wang X, et al. Association between functional small airway disease and FEV1 decline in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2016;194:178-184.
Albert M, Cates G, Driehuys B. et al. Biological magnetic resonance imaging using laser-polarized 129Xe. Nature 1994;370:199-201.
Kirby M, Svenningsen S, Owrangi A, et al. Hyperpolarized 3He and 129Xe MR imaging in healthy volunteers and patients with chronic obstructive pulmonary disease. Radiology 2012;265:600-610.
Kirby M, Pike D, Coxson HO, McCormack DG, Parraga G. Hyperpolarized 3He ventilation defects used to predict pulmonary exacerbations in mild to moderate chronic obstructive pulmonary disease. Radiology 2014;273:887-896.
Chae EJ, Seo JB, Goo HW, et al. Xenon ventilation CT with a dual-energy technique of dual-source CT: initial experience. Radiology 2008;248:615-624.
Honda N, Osada H, Watanabe W, et al. Imaging of ventilation with dual-energy CT during breath hold after single vital-capacity inspiration of stable xenon. Radiology 2012;262:262-268.
Kong X, Sheng HX, Lu GM, et al. Xenon-enhanced dual-energy CT lung ventilation imaging: techniques and clinical applications. Am J Roentgenol 2014;202:309-317.
Jögi J, Ekberg M, Jonson B, Bozovic G, Bajc M. Ventilation/perfusion SPECT in chronic obstructive pulmonary disease: an evaluation by reference to symptoms, spirometric lung function and emphysema, as assessed with HRCT. Eur J Nucl Med Mol Imaging 2011;38:1344-1352.
Bjork L, Bjorkholm PJ. Xenon as a contrast agent for imaging of the airways and lungs using digital radiography. Radiology 1982;144:475-478.
Lam KL, Chan HP, MacMahon H, Oravecz WT, Doi K. Dynamic digital subtraction evaluation of regional pulmonary ventilation with nonradioactive xenon. Invest Radiol 1990;25:728-735.
Alvarez RE, Macovski A. Energy-selective reconstructions in x-ray computerised tomography. Phys Med Biol. 1976;21:733.
Lehmann LA, Alvarez RE, Macovski A, et al. Generalized image combinations in dual KVP digital radiography. Med Phys 1981;8:659-667.
Kelcz F, Zink FE, Peppler WW, Kruger DG, Ergun DL, Mistretta CA. Conventional chest radiography vs dual-energy computed radiography in the detection and characterization of pulmonary nodules. Am J Roentgenol 1994;162:271-278.
Fischbach F, Freund T, Rottgen R, Engert U, Felix R, Ricke J. Dual-energy chest radiography with a flat-panel digital detector: revealing calcified chest abnormalities. Am J Roentgenol 2003;181:1519-1524.
Ricke J, Fischbach F, Freund T, et al. Clinical results of CsI-detector-based dual-exposure dual energy in chest radiography. Chest 2003;13:2577-2582.
Richard S, Siewerdsen JH. Optimization of dual-energy imaging systems using generalized NEQ and imaging task. Med Phys 2007;34:127-139.
Burgess AE, Judy PF. Signal detection in power-law noise: effect of spectrum exponents. JOSA A, Opt. Image Sci Vis. 2007;24:B52-B60.
Darvish-Molla S, Reno MC, Sattarivand M. Patient-specific pixel-based weighting factor dual-energy x-ray imaging system using a priori CT data. Med Phys 2019;46:528-543.
Richard S, Siewerdsen JH, Jaffray DA, Moseley DJ, Bakhtiar B. Generalized DQE analysis of radiographic and dual-energy imaging using flat-panel detectors. Med Phys 2005;32:1397-1413.
Ullman G, Sandborg M, Dance DR, Hunt R, Alm Carlsson G. Distributions of scatter-to-primary and signal-to-noise ratios per pixel in digital chest imaging. Radiat Prot Dosimetry 2005;114:355-358.
Ullman G, Sandborg M, Dance DR, Hunt RA, Carlsson GA. Towards optimization in digital chest radiography using Monte Carlo modelling. Phys Med Biol 2006;51:2729.
Abbey CK, Bochud FO. SPIE Handbook of Medical Imaging, vol. 1, ch. 11. SPIE; 2000:630-654.
Gang GJ, Zbijewski W, Webster Stayman J, Siewerdsen JH. Cascaded systems analysis of noise and detectability in dual-energy cone-beam CT. Med Phys 2012;39:5145-5156.
Mishima M, Hirai T, Itoh H, et al. Complexity of terminal airspace geometry assessed by lung computed tomography in normal subjects and patients with chronic obstructive pulmonary disease. Proc Natl Acad Sci USA 1999;96:8829-8834.
Nambu A, Zach J, Kim SS, et al. Significance of low-attenuation cluster analysis on quantitative CT in the evaluation of chronic obstructive pulmonary disease. Korean J. Radiol. 2018;19:139-146.
Mondoñedo JR, Sato S, Oguma T, et al. CT imaging-based low-attenuation super clusters in three dimensions and the progression of emphysema. Chest 2019;155:79-87.
Hajdok G, Yao J, Battista JJ, Cunningham IA. Signal and noise transfer properties of photoelectric interactions in diagnostic x-ray imaging detectors. Med Phys 2006;33:3601-3620.
Yun S, Tanguay J, Kim HK, Cunningham IA. Cascaded-systems analyses and the detective quantum efficiency of single-Z x-ray detectors including photoelectric, coherent and incoherent interactions. Med Phys 2013;40:041916.
Kirby M, Pike D, Sin DD, Coxson HO, McCormack DG, Parraga G. COPD: Do imaging measurements of emphysema and airway disease explain symptoms and exercise capacity? Radiology 2015;277:872-880.
Capaldi DPI, Zha N, Guo F, et al. Pulmonary imaging biomarkers of gas trapping and emphysema in COPD: 3He MR imaging and CT parametric response maps. Radiology 2016;279:597-608.
Zhao W, Ristic G, Rowlands JA. X-ray imaging performance of structured cesium iodide scintillators. Med Phys 2004;31:2594-2605.
Burton CS, Mayo JR, Cunningham IA. Energy subtraction angiography is comparable to digital subtraction angiography in terms of iodine Rose SNR. Med Phys 2016;43:5925-5933.
Parry CK, Chu R, Eaton BG, Chen C-Y. Measurement of skin entrance exposure with a dose-area-product meter at chest radiography. Radiology 1996;201:574-575.
Chu RY, Parry C, Eaton BG. Entrance skin exposure in PA chest radiography. Radiol Technol 1998;69:251-255.
Samei E, Flynn MJ, Eyler WR. Detection of subtle lung nodules: relative influence of quantum and anatomic noise on chest radiographs. Radiology 1999;213:727-734.
Tanguay J, Lalonde R, Bjarnason TA, Yang C-YJ. Cascaded systems analysis of anatomic noise in digital mammography and dual-energy digital mammography. Phys Med Biol 2019;64:215002.
Shkumat N, Siewerdsen J, Dhanantwari A, et al. Optimization of image acquisition techniques for dual-energy imaging of the chest. Med Phys 2007;34:3904-3915.
Bellemare F, Jeanneret A, Couture J. Sex differences in thoracic dimensions and configuration. Am J Respir Crit Care Med 2003;168:305-312.
Kramer GH, Capello K, Bearrs B, Lauzon A, Normandeau L. Linear dimensions and volumes of human lungs obtained from CT images. Health Phys 2012;102:378-383.
Segars WP, Sturgeon G, Mendonca S, Grimes J, Tsui BMW. 4D XCAT phantom for multimodality imaging research. Med Phys 2010;37:4902-4915.
Strauss KJ, Goske MJ, Towbin AJ, et al. Pediatric chest CT diagnostic reference ranges: development and application. Radiology 2017;284:219-227.
Guenard H, Diallo MH, Laurent F, Vergeret J. Lung density and lung mass in emphysema. Chest, 1992;102:198-203.
Gevenois PA, De Vuyst P, de Maertelaer V, et al. Comparison of computed density and microscopic morphometry in pulmonary emphysema. Am J Respir Crit Care Med 1996;154:187-192.
Coxson HO. Lung parenchyma density and airwall thickness in airway diseases. Breathe 2012;9:36-45.
Schroeder JD, McKenzie AS, Zach JA, et al. Relationships between airflow obstruction and quantitative CT measurements of emphysema, air trapping, and airways in subjects with and without chronic obstructive pulmonary disease. Am J Roentgenol 2013;201:W460-W470.