Literature DB >> 25211632

Dynamic contrast enhanced magnetic resonance perfusion imaging in high-risk smokers and smoking-related COPD: correlations with pulmonary function tests and quantitative computed tomography.

Yi Xia1, Yu Guan, Li Fan, Shi-Yuan Liu, Hong Yu, Li-Ming Zhao, Bing Li.   

Abstract

The study aimed to prospectively evaluate correlations between dynamic contrast-enhanced (DCE) MR perfusion imaging, pulmonary function tests (PFT) and volume quantitative CT in smokers with or without chronic obstructive pulmonary disease (COPD) and to determine the value of DCE-MR perfusion imaging and CT volumetric imaging on the assessment of smokers. According to the ATS/ERS guidelines, 51 male smokers were categorized into five groups: At risk for COPD (n = 8), mild COPD (n = 9), moderate COPD (n = 12), severe COPD (n = 10), and very severe COPD (n = 12). Maximum slope of increase (MSI), positive enhancement integral (PEI), etc. were obtained from MR perfusion data. The signal intensity ratio (RSI) of the PDs and normal lung was calculated (RSI = SIPD/SInormal). Total lung volume (TLV), total emphysema volume (TEV) and emphysema index (EI) were obtained from volumetric CT data. For "at risk for COPD," the positive rate of PDs on MR perfusion images was higher than that of abnormal changes on non-enhanced CT images (p < 0.05). Moderate-to-strong positive correlations were found between all the PFT parameters and SIPD, or RSI (r range 0.445∼0.683, p ≤ 0.001). TEV and EI were negatively correlated better with FEV1/FVC than other PFT parameters (r range -0.48 --0.63, p < 0.001). There were significant differences in RSI and SIPD between "at risk for COPD" and "very severe COPD," and between "mild COPD" and "very severe COPD". Thus, MR perfusion imaging may be a good approach to identify early evidence of COPD and may have potential to assist in classification of COPD.

Entities:  

Keywords:  X-ray computed; chronic obstructive pulmonary disease; magnetic resonance imaging; pulmonary function test; pulmonary perfusion; tomography

Mesh:

Substances:

Year:  2014        PMID: 25211632     DOI: 10.3109/15412555.2014.948990

Source DB:  PubMed          Journal:  COPD        ISSN: 1541-2563            Impact factor:   2.409


  9 in total

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Authors:  Marilisa Schiwek; Simon M F Triphan; Jürgen Biederer; Oliver Weinheimer; Monika Eichinger; Claus F Vogelmeier; Rudolf A Jörres; Hans-Ulrich Kauczor; Claus P Heußel; Philip Konietzke; Oyunbileg von Stackelberg; Frank Risse; Bertram J Jobst; Mark O Wielpütz
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  9 in total

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