Diagnostic Accuracy of Chest X-Ray for the Diagnosis of Interstitial Lung Disease Keeping High Resolution Computed Tomography (HRCT) as Gold Standard

Authors

  • Nosheen Sadiq
  • Ammara Iftikhar
  • Muhammad Usman Khan
  • Hussain Rashid Ehsan
  • Naveed Hussain

DOI:

https://doi.org/10.51985/JBUMDC202291

Keywords:

Chest x-ray, interstitial lung disease, high resolution computed tomography

Abstract

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):

–22.https://doi.org/10.1159/000452225

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Published

2024-01-29

How to Cite

Sadiq, N. ., Iftikhar, A. ., Khan, M. U. ., Ehsan, H. R. ., & Hussain, N. . (2024). Diagnostic Accuracy of Chest X-Ray for the Diagnosis of Interstitial Lung Disease Keeping High Resolution Computed Tomography (HRCT) as Gold Standard. Journal of Bahria University Medical and Dental College, 14(01), 56–59. https://doi.org/10.51985/JBUMDC202291

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