Diagnostic Accuracy of Chest X-Ray for the Diagnosis of Interstitial Lung Disease Keeping High Resolution Computed Tomography (HRCT) as Gold Standard
DOI:
https://doi.org/10.51985/JBUMDC202291Keywords:
Chest x-ray, interstitial lung disease, high resolution computed tomographyAbstract
Objective: To determine diagnostic accuracy of chest x-ray for the diagnosis of interstitial lung disease keeping high resolution computed tomography as gold standard.
Study design and setting: Comparative cross sectional study, Department of Radiology PNS Shifa Karachi Methodology: Study done over the period of 1 year and two months. 160 Patients were included by using non-probability consecutive sampling all underwent CXR and HRCT chest. Sample size was calculated using sensitivity and specificity calculator for sample size with expected sensitivity of 80%7, expected specificity of 82.98%7and expected prevalence of 76%7
Results: In this 160 patients were included by using non probability sampling. Among all 116(72.50%) were males while 44 (27.50%) were females. Sensitivity (SE),specificity, positive predictive value (PPV) negative predictive value(NPV) and diagnostic accuracy of CXR vs HRCT in cases of ILD was 88.89%, 87.50%, 88.89%, 87.50% and 88.24% respectively.
Conclusion: Chest x-ray has high diagnostic accuracy and simultaneously readily available and cost effective modality, therefore it can be effectively used as alternative to HRCT.
References
Shao T, Shi X, Yang S, et al. Interstitial Lung Disease in
Connective Tissue Disease: A Common Lesion with
Heterogeneous Mechanisms and Treatment Considerations.
Front Immunol. 2021; 12:684699. doi: 10.3389/fimmu. 2021.
Yildirim, Fatma et al. “Comparison of clinical courses and
mortality of connective tissue disease-associated interstitial
pneumonias and chronic fibrosing idiopathic interstitial
pneumonias.” The Kaohsiung journal of medical sciences
vol. 35,6 (2019): 365-372. https://doi.org/10.1002/kjm2.12066
Dawod YT, Cook NE, Graham WB, et al. Smoking-Associated
Interstitial Lung Disease: Update and Review. Expert Rev
Respir Med 2020; 14: 825–834. DOI: 10.1080/17476348
.2020.1766971
Griese M. (2018). Chronic interstitial lung disease in children.
European respiratory review: an official journal of the European
Respiratory Society, 27(147), 170100.
Gupta S, Ilyas M, Gupta V, Dev G. High resolution computed
tomography in the evaluation of interstitial lung diseases:
imaging perspective revisited with review of literature. Int J
Med Res Rev. 2017;5(04):412-20. DOI: 10.1183/16000617
.0100-2017
Vizioli L, Ciccarese F, Forti P, Chiesa AM, Giovagnoli M,
Mughetti M, et al. Integrated use of lung ultrasound and chest
x-ray in the detection of interstitial lung disease. Respiration.
;93(1):15-22. doi: 10.1159/000452225.
Afzal F, Raza S, Shafique M. Diagnostic accuracy of x-ray
chest in interstitial lung disease as confirmed by high resolution
computed tomography (HRCT) chest. Pak Armed Forces Med
J. 2017;67(4):593-8. https://www.pafmj.org/index. php/ PAFMJ
/article/view/699
Desai SR, Prosch H, Galvin JR. Plain Film and HRCT
Diagnosis of Interstitial Lung Disease. 2019 Feb 20. In: Hodler
J, Kubik-Huch RA, von Schulthess GK, editors. Diseases of
the Chest, Breast, Heart and Vessels 2019-2022: Diagnostic
and Interventional Imaging [Internet]. Cham (CH): Springer;
DOI: 10.1007/978-3-030-11149-6_4
Troy LK, Hetzel J. Lung cryobiopsy and interstitial lung
disease: What is its role in the era of multidisciplinary meetings
and antifibrotics? Respirology. 2020 Sep;25(9):987-996.
DOI: 10.1111/resp.13822
Ley, S et al. “Low dose computed tomography of the lung
for detection and grading of interstitial lung disease: A
systematic simulation study.” Pulmonology vol. 27,1 (2021):
-25 https://doi.org/10.1016/j.pulmoe.2020.06.004
Park, Beomhee et al. “Lung Segmentation on HRCT and
Volumetric CT for Diffuse Interstitial Lung Disease Using
Deep Convolutional Neural Networks.” Journal of digital
imaging vol. 32,6 (2019): 1019-1026. doi: 10.1007/s10278-
-00254-8
Wang, YuKai et al. “Usefulness of lung ultrasound B-lines in
connective tissue disease-associated interstitial lung disease:
a literature review.” Arthritis research & therapy vol. 19,1
18 Sep. 2017. https://doi.org/10.1186/s13075-017-1409-
Zhou, Boran et al. “Predicting lung mass density of patients
with interstitial lung disease and healthy subjects using deep
neural network and lung ultrasound surface wave
elastography.” Journal of the mechanical behavior of
biomedical materials vol. 104 (2020): 103682 doi:
1016/j.jmbbm.2020.103682
Torrisi, Sebastiano Emanuele et al. “Assessment of survival
in patients with idiopathic pulmonary fibrosis using quantitative
HRCT indexes.” Multidisciplinary respiratory medicine vol.
43. 1 Dec. 2018. https://doi.org/10.1186/s40248-018-0155-
Jun, SangHoon et al. “Development of a Computer-Aided
Differential Diagnosis System to Distinguish Between Usual
Interstitial Pneumonia and Non-specific Interstitial Pneumonia
Using Texture- and Shape-Based Hierarchical Classifiers on
HRCT Images.” Journal of digital imaging vol. 31,2 (2018):
-244. doi: 10.1007/s10278-017-0018-y.
Karayama, Masato et al. “Simple method for detecting
idiopathic interstitial pneumonias by measuring vertical lung
length on chest X-ray.” Scientific reports vol. 11,1 7669. 7
Apr. 2021. https://doi.org/10.1038/s41598-021-87452-z
Nakagawa, Hiroaki et al. “Quantitative CT analysis of
honeycombing area predicts mortality in idiopathic pulmonary
fibrosis with definite usual interstitial pneumonia pattern: A
retrospective cohort study.” PloS one vol. 14,3 e0214278. 21
Mar. 2019. doi: 10.1371/journal.pone.0214278
Kruamak T., Edwards R., Cheng S., et al. Accuracy of Digital
Tomosynthesis of the Chest in Detection of Interstitial Lung
Disease Comparison with Digital Chest Radiography.
Comparative Study. J. Comput. Assist. Tomogr.
;43;1:109–114. https://doi.org/10.1097/RCT. 00000000-
Ansarie M, Naseem A, Kasmani A, Ahmed R, Azeemuddin
M. Profile of interstitial lung diseases in Pakistan, Karachi
pulmonolgy clinics registry data-Jan 2012- Aug 2013. Chest.
;145(3):241A. http://www.ildpak.com/wpcontent/uploads/2019/10/ILDPAK-REPORT-2016-2018.pdf
Luca Vizioli; Federica Ciccarese Paola Forti; Anna Maria
Chiesa; Integrated Use of Lung Ultrasound and Chest X-Ray
in the Detection of Interstitial Lung Disease (2016) 93 (1):
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Nosheen Sadiq, Ammara Iftikhar, Muhammad Usman Khan, Hussain Rashid Ehsan, Naveed Hussain
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Journal of Bahria University Medical & Dental College is an open access journal and is licensed under CC BY-NC 4.0. which permits unrestricted non commercial use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/4.0