A novel method to measure airway mucus plugging using CT images from patients with asthma or chronic obstructive pulmonary disease (COPD) patients.
Asthma and COPD are common lung diseases that cause a large public health burden. One important pathologic mechanism is the accumulation of thick mucus (mucus plugs) in the airways, which restrict airflow. Detecting airway mucus plugs is difficult because they are not visible on chest X-rays and are rarely associated with any symptoms of cough or sputum production. For asthma, using blood inflammatory proteins as biomarkers of lung disease has also had limited success. To date, there is no method that specifically identifies the subgroup of patients with airway mucus impaction, leading to difficulties in directing mucoactive treatments and designing clinical trials to test therapies in this patient subgroup. However, this presented technology has addressed the issues previously described with a solution.
UCSF researchers have developed a new method to measure the burden of intraluminal mucus using Multi-detector Computed Tomography (MDCT) by quantifying the number of bronchopulmonary segments that are completely occluded with mucus. This technology has been validated in patients with asthma using CT scans with normal dose radiation protocols.
To develop & commercialize the technology as a stand-alone diagnostic or companion diagnostic to identify asthma or COPD patients with airway mucus plugs, and would therefore benefit from specific treatments, such as mucolytics, anti-inflammatory drugs, or protein therapeutics.
Reduced to Practice
Under CDA / NDA
|United States Of America||Published Application||20190290225||09/26/2019||2016-100|
Airway Mucus Impaction, Mucus Plugs, Scoring System, CT Imaging, Asthma, Lung, COPD