Literature DB >> 18193399

Visual score and quantitative CT indices in pulmonary fibrosis: Relationship with physiologic impairment.

N Sverzellati1, E Calabrò, A Chetta, G Concari, A R Larici, M Mereu, R Cobelli, M De Filippo, M Zompatori.   

Abstract

PURPOSE: The aim of this study was to assess the accuracy of some computed tomography (CT) quantitative indices (histogram features, ranges of density and one novel volumetric index) in the discrimination between normals and patients affected by lung fibrosis, and to compare their morphologic-functional relationship with the visual score one.
MATERIALS AND METHODS: We analysed thin-section CTs and pulmonary function tests (PFTs) of six healthy subjects and 31 patients affected by lung fibrosis, including 17 with a usual interstitial pneumonia pattern (UIP group), and 14 with a predominant pattern of ground-glass opacities without honeycombing (non-UIP group). Presence and extent of various CT findings were assessed by the visual score as well as by CT computer indices.
RESULTS: Together with the histogram features, fibrosis ratio (defined as the ratio of nonfibrotic CT lung volume divided by total CT lung volume) contributed to objectively differentiate fibrotic lungs from normal lungs. The range of density 700 to 400 HU showed the greatest degree of correlation with physiologic abnormality in the non-UIP group. In the UIP group, the lone visual score provided prediction of functional impairment.
CONCLUSIONS: The visual score is still the main radiological method of quantifying the extent of abnormalities in patients with UIP, whilst the range of density 700 to 400 HU can be helpfully applied in a predominant pattern of ground-glass and reticular opacities without honeycombing.

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Year:  2007        PMID: 18193399     DOI: 10.1007/s11547-007-0213-x

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  28 in total

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2.  Quantitative CT indexes in idiopathic pulmonary fibrosis: relationship with physiologic impairment.

Authors:  Alan C Best; Anne M Lynch; Carmen M Bozic; David Miller; Gary K Grunwald; David A Lynch
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4.  Pulmonary function tests and CT scan in the management of idiopathic pulmonary fibrosis.

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5.  Automated discrimination and quantification of idiopathic pulmonary fibrosis from normal lung parenchyma using generalized fractal dimensions in high-resolution computed tomography images.

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6.  Predicting survival in idiopathic pulmonary fibrosis: scoring system and survival model.

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10.  Use of quantitative CT to predict postoperative lung function in patients with lung cancer.

Authors:  M T Wu; J M Chang; A A Chiang; J Y Lu; H K Hsu; W H Hsu; C F Yang
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  20 in total

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Authors:  F Molinari; M Amato; M Stefanetti; G Parapatt; A Macagnino; G Serricchio; T Pirronti; L Bonomo
Journal:  Radiol Med       Date:  2010-02-22       Impact factor: 3.469

2.  Quantitative computed tomography detects interstitial lung diseases proven by biopsy.

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4.  The Objective Identification and Quantification of Interstitial Lung Abnormalities in Smokers.

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6.  Assessment of lung involvement in sarcoidosis - the use of an open-source software to quantify data from computed tomography.

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Review 7.  Lung densitometry: why, how and when.

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Journal:  J Thorac Dis       Date:  2017-09       Impact factor: 2.895

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Journal:  Respir Res       Date:  2017-03-07

Review 10.  New Developments in Imaging Idiopathic Pulmonary Fibrosis With Hyperpolarized Xenon Magnetic Resonance Imaging.

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