Computed tomography (CT) scans beat traditional spirometry in identifying lung damage associated with flare-ups of chronic obstructive pulmonary disease, or COPD, a study published online in the journal Radiology concludes.
Computed tomography (CT) scans beat traditional spirometry in identifying lung damage associated with flare-ups of chronic obstructive pulmonary disease, or COPD, a study published online in the journal Radiology concludes.
COPD can damage both the airways and the air sacs of the lungs, and is a leading cause of death and illness worldwide. The two main structural abnormalities seen in COPD are emphysema, in which the air sacs of the lung are gradually destroyed, and airway disease, which causes a narrowing of the bronchial tubes. According to the National Heart, Lung and Blood Institute (NHLBI), an estimated $49.9 billion was spent on COPD in the United States in 2010, the majority of which was related to exacerbations, or episodes when symptoms suddenly worsen.
A team led by radiologist MeiLan K. Han, MD, MS, of the University of Michigan, assessed CT scans from the first 2,500 patients enrolled in the NHLBI’s COPD Gene Study who met criteria for COPD. They focused on possible links between the thickness of a patient’s bronchial walls, the degree of air sac destruction and the frequency of exacerbations.
They found while many patients had a mixture of structural changes related to their COPD, two subgroups - predominantly with emphysema or large airway disease - could be identified based on their CT scans. Specifically, each 1 millimeter increase in bronchial-wall thickness was associated with a 1.84-fold increase in annual exacerbation rate. For patients with 35 percent or greater total emphysema, each 5 percent increase in emphysema was associated with a 1.18-fold increase in exacerbation rate. In other words, independent of spirometric measures of lung function, both increased airway wall thickness and increased emphysema were associated with greater exacerbation frequency.
COPD is currently staged by measuring lung function with a spirometer, a machine that measures how much air the lungs can hold and how fast air is expelled, which Han characterized as “a one-size-fits-all approach to treating COPD patients.” A handful of medications are typically prescribed for the condition, regardless of what type of COPD patients have.
“Spirometry is inadequate as the sole parameter for assessing risk of exacerbations,” Han said. “Two COPD patients may be identical in terms of lung function yet behave very differently. For instance, there are subsets of patients with severely reduced lung function who do not experience frequent exacerbations.”
She added that the CT scans could be helpful in selecting more homogenous groups for clinical trials and, possibly, for identifying patients at risk of frequent exacerbations. Such patients could then receive medical therapies targeted to their type of COPD.
Can AI Facilitate Single-Phase CT Acquisition for COPD Diagnosis and Staging?
December 12th 2024The authors of a new study found that deep learning assessment of single-phase CT scans provides comparable within-one stage accuracies to multiphase CT for detecting and staging chronic obstructive pulmonary disease (COPD).
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.