Literature DB >> 12583568

Utility of high-resolution CT for management of diffuse lung disease: results of a survey of U.S. pulmonary physicians.

John C Scatarige1, Gregory B Diette, Edward F Haponik, Barry Merriman, Elliot K Fishman.   

Abstract

RATIONALE AND
OBJECTIVES: This study was performed to determine how U.S. pulmonologists rate the clinical contributions of high-resolution computed tomography (CT) in patients with diffuse lung disease, to ascertain how the technique affects management decisions, and to determine the effect of three physician characteristics on these attitudes.
MATERIALS AND METHODS: The authors surveyed 450 practicing pulmonologists. The questionnaire explored perceptions of the efficacy of high-resolution CT for achieving five clinical objectives, the importance of high-resolution CT in 17 diseases, and the effects of the CT results on management decisions. Responses were examined by type of clinical practice, monthly referral volume, and year of completion of pulmonary fellowship.
RESULTS: The response rate was 52.6%. High-resolution CT was rated most helpful for determining the extent of diffuse lung disease and least helpful for assessing disease activity and prognosis. Pulmonologists believed that high-resolution CT was most important in the idiopathic interstitial pneumonias and least important in Pneumocystis carinii pneumonia and emphysema. High-resolution CT results frequently increased the physician's confidence in a presumptive diagnosis. Recently trained pulmonologists were more likely to report that high-resolution CT results altered their management plan. There were no significant differences related to type of practice.
CONCLUSION: U.S. pulmonologists in a variety of practice settings value the contributions of high-resolution CT in patients with diffuse lung disease and find it particularly important in the chronic interstitial pneumonias. High-resolution CT results have their greatest effect in confirming a presumptive clinical diagnosis and less frequently alter the management plan.

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Mesh:

Year:  2003        PMID: 12583568     DOI: 10.1016/s1076-6332(03)80041-7

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  6 in total

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2.  Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.

Authors:  Guk Bae Kim; Kyu-Hwan Jung; Yeha Lee; Hyun-Jun Kim; Namkug Kim; Sanghoon Jun; Joon Beom Seo; David A Lynch
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3.  Quantitative assessment of change in regional disease patterns on serial HRCT of fibrotic interstitial pneumonia with texture-based automated quantification system.

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4.  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.

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5.  Comparison of usual interstitial pneumonia and nonspecific interstitial pneumonia: quantification of disease severity and discrimination between two diseases on HRCT using a texture-based automated system.

Authors:  Sang Ok Park; Joon Beom Seo; Namkug Kim; Young Kyung Lee; Jeongjin Lee; Dong Soon Kim
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6.  Feasibility of automated quantification of regional disease patterns depicted on high-resolution computed tomography in patients with various diffuse lung diseases.

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  6 in total

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