Abstract
Background and Aims: High-Resolution Computerized Tomography (HRCT) is the most powerful tool used to assess the lung parenchyma for diffused lung diseases, it has been accepted as the gold standard for early detection and diagnosis. HRCT of the lung is a key component of the multidisciplinary approach to diagnosis in diffuse lung disease (DLD). The aim of the study is to investigate the most common HRCT findings in clinically suspected cases of diffuse lung diseases, that cannot be determined from clinical history and other diagnostic tests, such as pulmonary function tests. Methods: A retrospective study was conducted in Jazan public hospitals (Abu Arish, Sabia, and Prince Mohmed Bin Nasir hospitals) CT scan department, in the period from October 2020 to June 2021. The sampling includes a CT report of 73 patients, with clinical suspicion of diffuse lung disease evaluated and analyzed. The data was collected by data collection sheet and analyzed using the SPSS version 23. Results: Mean age of the study sample was 52.97 years, 58.9% were male. Most common CT finding in patients with diffuse lung diseases was ground-glass appearance in (38.4%), followed by tree-in-bud opacity, and honeycombing, COVID-19 pneumonia and pleural effusion. A significant correlation was found between CT findings and type of diffuse lung diseases found, with (P- value< 0.01). Conclusion: HRCT findings in positive COVID-19 patients showed that; ground-glass opacity, was the common finding followed by crazy paving pattern, and diffuse alveolar damage, while, tree in bud opacity found in all cases who had pulmonary tuberculosis.
Keywords: High-resolution computed tomography · interstitial lung disease · DLD · COVID-19 pneumonia · GGO · tree in bud opacity · honeycombing
References
- 1.Kauczor HU.MDCT in Diffuse Lung Disease [Internet]. In: Joseph Schoepf U, editor. Multidetector-Row CT of theThorax.Berlin,Heidelberg:Springer Berlin Heidelberg; 2006 [cited 2025 Mar 10]. page 81–105.Available from: http://link.springer.com/10.1007/3- 540-30006-6_6 doi:10.1007/3-
- 2.Escuissato DL. Doenças pulmonares difusas e TCAR: os limites do radiologista. J bras pneumol 2010;36(1):6–7.
- 3.Zompatori M, Sverzellati N, Poletti V, Bnà C, Ormitti F, Spaggiari E, et al. High-Resolution CT in Diagnosis of Diffuse Infiltrative Lung Disease. Seminars in Ultrasound, CT and MRI 2005;26(5):332–47.
- 4.Hunninghake GW,Lynch DA,Galvin JR, Gross BH, Mu¨ller N, Schwartz DA, et al. Radiologic Findings Are Strongly Associated With a Pathologic Diagnosis of Usual Interstitial Pneumonia. Chest 2003;124(4):1215–23.
- 5.Flaherty KR, Toews GB, Travis WD, Colby TV, Kazerooni EA, Gross BH, et al. Clinical significance of histological classification of idiopathic in- Majmaah Journal of Health Sciences,Vol.13, Issue3, July-2025,Muharram-1447 33 High Resolution ComputerizedTomography FindingsinPatientswithaClinicalFeatureofDiffuseLungDiseases terstitial pneumonia. Eur Respir J 2002;19(2):275–83.
- 6.Worthy SA, Müller NL, Hartman TE, Swensen SJ, Padley SP, Hansell DM. Mosaic attenuation pattern on thin-section CT scans of the lung: differentiation among infiltrative lung, airway,and vascular diseases as a cause. Radiology 1997;205(2):465–70.
- 7.Han MK, Arteaga-Solis E, Blenis J, Bourjeily G, Clegg DJ, DeMeo D, et al. Female Sex and Gender in Lung/ Sleep Health and Disease. Increased Understanding of Basic Biological, Pathophysiological, and Behavioral Mechanisms Leading to Better Health for Female Patients with Lung Disease. Am J Respir Crit Care Med 2018;198(7):850–8.
- 8.Scully EP,Haverfield J,Ursin RL,Tannenbaum C, Klein SL. Considering how biological sex impacts immune responses and COVID-19 outcomes. Nat Rev Immunol 2020;20(7):442–7.
- 9.18.Im JG,Itoh H.Tree-in-Bud Pattern of Pulmonary Tuberculosis on Thin-Section CT: Pathological Implications. Korean J Radiol 2018;19(5):859. 19.SternEJ,MüllerNL,SwensenSJ,HartmanTE.CT mosaic pattern of lung attenuation: etiologies and terminology.J ThoracImaging1995;10(4):294–7. 20.Gotway MB, Reddy GP, Webb WR, Elicker BM, Leung JWT. High-resolution CT of the lung: patterns of disease and differential diagnoses. Radiol Clin North Am 2005;43(3):513–42, viii. 21.Hussain S, Mubeen I, Ullah N, Shah SSUD, Khan BA, Zahoor M, et al. Modern Diagnostic Imaging Technique Applications and Risk Factors in the Medical Field: A Review. Biomed Res Int 2022;2022:5164970.
Peer review
Peer reviewed by 2 reviewers, who chose to remain anonymous.