来自美国密歇根大学的Craig Galban及其同事利用反应参数图技术分析COPD的全肺影像,为COPD中功能性小气道疾病和肺气肿的表型特征提供了诊断信息。

-2012年11月《自然-医学》

中文翻译


【题目】生物标志物为COPD表型的诊断和疾病进展提供了独特信号

【译文】肺慢性阻塞性疾病(COPD)越来越被公认为一种高度异质性疾病,由多种病理生物学组成。迫切需要依靠影像标志物对COPD亚型的准确检测以使得展开个体化治疗,因而改善患者的治疗结果。我们采用反应参数图(PRM)来评估COPD表型,PRM是一种体素取像分析技术。我们分析了通过来自COPDGene研究的194个COPD患者的呼气和吸气而获得的全肺计算机断层摄影术扫描(CT)。PRM鉴定出了功能性小气道疾病(fSAD)和肺气肿的程度,并提供了支持fSAD在肺气肿前增加了COPD严重性概念的基于CT的证据。PRM是一种具有诊断疾病程度和表型能力的通用成像标志物,提供详细的疾病分布和位置的立体信息。PRM区分特异性COPD的能力将为患者提供更加准确的诊断,补充了标准临床技术。

英文原稿


[Title]: Computed tomography–based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression

[Authors]:Craig J Galbán,1, 2 Meilan K Han,3 Jennifer L Boes,1, 2 Komal A Chughtai,1, 2 Charles R Meyer,1, 2 Timothy D Johnson,4 Stefanie Galbán,2, 5 Alnawaz Rehemtulla,2, 5 Ella A Kazerooni,1 Fernando J Martinez3 & Brian D Ross1, 2

[Abstract]Chronic obstructive pulmonary disease (COPD) is increasingly being recognized as a highly heterogeneous disorder, composed of varying pathobiology. Accurate detection of COPD subtypes by image biomarkers is urgently needed to enable individualized treatment, thus improving patient outcome. We adapted the parametric response map (PRM), a voxel-wise image analysis technique, for assessing COPD phenotype. We analyzed whole-lung computed tomography (CT) scans acquired at inspiration and expiration of 194 individuals with COPD from the COPDGene study. PRM identified the extent of functional small airways disease (fSAD) and emphysema as well as provided CT-based evidence that supports the concept that fSAD precedes emphysema with increasing COPD severity. PRM is a versatile imaging biomarker capable of diagnosing disease extent and phenotype while providing detailed spatial information of disease distribution and location. PRM’s ability to differentiate between specific COPD phenotypes will allow for more accurate diagnosis of individual patients, complementing standard clinical techniques.    

原文地址

http://www.nature.com/nm/journal/v18/n11/abs/nm.2971.html

 

 

 

 

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