» Articles » PMID: 12034954

Thin-section CT in Obstructive Pulmonary Disease: Discriminatory Value

Overview
Journal Radiology
Specialty Radiology
Date 2002 May 30
PMID 12034954
Citations 23
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To use thin-section computed tomography (CT) to distinguish between causes of obstructive pulmonary disease, to determine which distinctions give rise to diagnostic imprecision, and to identify the most useful CT features.

Materials And Methods: Thin-section CT scans of 105 patients with obstructive pulmonary disease (asthma, n = 35; centrilobular emphysema, n = 30; panlobular emphysema, n = 21; and obliterative bronchiolitis, n = 19) and 33 healthy subjects were assessed independently by two observers. The most likely diagnosis and a confidence rating were assigned. Individual thin-section CT features were recorded. Accuracy, sensitivity, specificity, negative predictive value, and positive predictive value for first-choice diagnoses were calculated. The prevalence of CT features between pairs of conditions was compared with the chi(2) or Fisher exact test as appropriate.

Results: A correct first-choice diagnosis was made in 199 of 276 (72%) observations. A correct first-choice diagnosis was made in 35 of 38 (92%) observations in patients with obliterative bronchiolitis, in 53 of 60 (88%) observations in patients with centrilobular emphysema, in 53 of 66 (80%) observations in healthy subjects, in 37 of 70 (53%) observations in patients with asthma, and in 20 of 42 (48%) observations in patients with panlobular emphysema. The major sources of diagnostic inaccuracy were differentiation between panlobular and centrilobular emphysema, asthma and normality, and asthma and obliterative bronchiolitis. There were significant increases in prevalence of (a) bronchial wall thickening and vascular attenuation in patients with asthma when compared with healthy subjects and (b) vascular attenuation and decreased attenuation in patients with obliterative bronchiolitis when compared with patients with asthma (P <.001).

Conclusion: CT helps to distinguish diseases that cause airflow obstruction. Thin-section CT is particularly accurate in the identification of obliterative bronchiolitis.

Citing Articles

Airway Disease in Rheumatoid Arthritis.

Matson S, Demoruelle M, Castro M Ann Am Thorac Soc. 2021; 19(3):343-352.

PMID: 34929135 PMC: 9820913. DOI: 10.1513/AnnalsATS.202107-876CME.


Exploring the Association Between Emphysema Phenotypes and Low Bone Mineral Density in Smokers with and without COPD.

Gonzalez J, Rivera-Ortega P, Rodriguez-Fraile M, Restituto P, Colina I, Calleja M Int J Chron Obstruct Pulmon Dis. 2020; 15:1823-1829.

PMID: 32801680 PMC: 7401322. DOI: 10.2147/COPD.S257918.


Emphysema phenotypes and lung cancer risk.

Gonzalez J, Henschke C, Yankelevitz D, Seijo L, Reeves A, Yip R PLoS One. 2019; 14(7):e0219187.

PMID: 31344121 PMC: 6657833. DOI: 10.1371/journal.pone.0219187.


Characteristics of COPD phenotypes classified according to the findings of HRCT and spirometric indices and its correlation to clinical characteristics.

Bhaskar R, Singh S, Singh P Afr Health Sci. 2018; 18(1):90-101.

PMID: 29977262 PMC: 6016982. DOI: 10.4314/ahs.v18i1.13.


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.

Jun S, Park B, Seo J, Lee S, Kim N J Digit Imaging. 2017; 31(2):235-244.

PMID: 28884381 PMC: 5873463. DOI: 10.1007/s10278-017-0018-y.