DIAGNOSTIC IMAGING OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE: A TEN YEARS SYSTEMATIC REVIEW
DOI:
https://doi.org/10.61841/k8w3ww68Keywords:
Chronic obstructive pulmonary disease (COPD), Imaging, diagnostic, CT, MRI.Abstract
Background: Exacerbations of chronic obstructive pulmonary disease (COPD) impose a great burden on patients’ quality of life and healthcare systems. In addition to causing significant increases in mortality and disease progression, exacerbations of COPD amount to $18 billion in direct costs annually, as well as further spending associated with care and losses in productivity. Newer modalities such as OCT and MRI have distinct advantages to CT in such areas as image resolution and functional assessment of lung tissue.
The aim: The aim of this study to show about diagnostic imaging of chronic obstructive pulmonary disease.
Methods: By the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020, this study was able to show that it met all of the requirements. This search approach, publications that came out between 2014 and 2024 were taken into account. Several different online reference sources, like Pubmed, SagePub, and Google Scholar were used to do this. It was decided not to take into account review pieces, works that had already been published, or works that were only half done.
Result: In the PubMed database, the results of our search get 100 articles, whereas the results of our search on SagePub get 1608 articles, on Google Scholar 3870 articles. Records remove before screening are 4887, so we get 691 articles fos screening. After we screened based on record exclude, we compiled a total of 10 papers. We included five research that met the criteria.
Conclusion: Imaging and image analysis offers new insight into pulmonary disease processes that were previously available only on tissue necropsy. Current techniques can offer detailed measures of lung structure and with newer modalities previously immeasurable things like regional lung function. Imaging in the context of clinical investigation may offer the ability to define more homogeneous subsets of subjects with COPD and to potentially provide an intermediate biomarker of disease progression in lieu of a declining FEV.
References
Washko G. Diagnostic Imaging in COPD. Semin Respir Crit Care Med [Internet]. 2010 Jun 21;31(03):276–85. Available from: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0030-1254068
Fernandes L, Fernandes Y, Mesquita A. Quantitative computed tomography imaging in chronic obstructive pulmonary disease. Lung India. 2016;33(6):646–52.
Bodduluri S, Reinhardt JM, Hoffman EA, Newell JD, Bhatt SP. Recent advances in computed tomography imaging in chronic obstructive pulmonary disease. Ann Am Thorac Soc. 2018;15(3):281–9.
Dolliver WR, Diaz AA. Advances in Chronic Obstructive Pulmonary Disease Imaging. Barcelona Respir Netw [Internet]. 2021 Oct 8;6(2). Available from: https://www.brnreviews.com/frame_esp.php?id=188
Wainwright M. Imaging and imagining chronic obstructive pulmonary disease (COPD): Uruguayans draw their lungs. Disabil Rehabil [Internet]. 2018;40(26):3094–103. Available from: https://doi.org/10.1080/09638288.2017.1376357
MacNeil JL, Capaldi DPI, Westcott AR, Eddy RL, Barker AL, McCormack DG, et al. Pulmonary imaging phenotypes of chronic obstructive pulmonary disease using multiparametric response maps. Radiology. 2020;295(1):227–36.
Willer K, Fingerle AA, Noichl W, De Marco F, Frank M, Urban T, et al. X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study. Lancet Digit Heal. 2021;3(11):e733–44.
Srinivas RK, Garg M, Debi U, Prabhakar N, Dhooria S, Agarwal R, et al. Evaluation of Dynamic ContrastEnhanced and Oxygen-Enhanced Functional Lung Magnetic Resonance Imaging in Chronic Obstructive Pulmonary Disease Patients. Diagnostics. 2023;13(23).
Hwang HJ, Lee SM, Seo JB, Lee JS, Kim N, Lee SW, et al. Visual and quantitative assessments of regional xenonventilation using dual-energy CT in asthma-chronic obstructive pulmonary disease overlap syndrome: A comparison with chronic obstructive pulmonary disease. Korean J Radiol. 2020;21(9):1104–13.
Sanders KJC, Ash SY, Washko GR, Mottaghy FM, Schols AMWJ. Imaging approaches to understand disease complexity: Chronic obstructive pulmonary disease as a clinical model. J Appl Physiol. 2018;124(2):512–20.
Myc LA, Shim YM, Laubach VE, Dimastromatteo J. Role of medical and molecular imaging in COPD. Clin Transl Med [Internet]. 2019;8(1). Available from: https://doi.org/10.1186/s40169-019-0231-z
Mortani Barbosa EJ. Quantitative imaging of chronic obstructive pulmonary disease- moving towards clinical application. J Thorac Dis. 2016;8(1):1–5.
Rangelov BA, Young AL, Jacob J, Cahn AP, Lee S, Wilson FJ, et al. Thoracic imaging at exacerbation of chronic obstructive pulmonary disease: A systematic review. Int J COPD. 2020;15:1751–87.
Pistenmaa CL, Washko GR. Computerized Chest Imaging in the Diagnosis and Assessment of the Patient with Chronic Obstructive Pulmonary Disease. Clin Chest Med [Internet]. 2020 Sep;41(3):375–81. Available from:
https://linkinghub.elsevier.com/retrieve/pii/S0272523120300459
Milne S, King GG. Advanced imaging in COPD: Insights into pulmonary pathophysiology. J Thorac Dis. 2014;6(11):1570–85.
Lynch DA. Functional imaging of COPD by CT and MRI. Br J Radiol [Internet]. 2022 Apr 1;95(1132). Available from: https://academic.oup.com/bjr/article/7451519
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