Research press release


Nature Medicine

Imaging COPD phenotypes



Brian Rossたちは、末梢気道の病変のタイプを見分けるのに役立つ画像バイオマーカーを開発した。従来の生理学的肺機能検査では、この識別はできなかった。Rossたちが作成したコンピューター断層撮影(CT)に基づく画像化バイオマーカーでは、肺機能の局所的変動の吸気CT画像とkokiCT画像とを比較することにより、COPDの重症度、表現型が識別でき、病変の位置が特定できる。

An imaging technique that detects subtypes of chronic obstructive pulmonary disease (COPD), is reported in a paper published online this week in Nature Medicine. This approach can provide a more accurate diagnosis and help tailor treatments for each individual to appropriately target the lung damage in COPD.

COPD is characterized by narrowing of the small airways in the lung and limiting airway flow and is not fully reversible. It is caused by lung tissue destruction, emphysema, or other functional diseases of the airways.

Brian Ross and colleagues developed an imaging biomarker that can help in differentiating between the types of disease found in the small airways, which previously could not be done with conventional physiological pulmonary tests. The authors created a computed tomography (CT)-based imaging biomarker that identifies COPD severity, phenotype, and location of disease by comparing inspiratory and expiratory CT scans on local variations in lung function.

doi: 10.1038/nm.2971


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