We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Chest CT Helps Evaluate COPD Mortality Risk

By MedImaging International staff writers
Posted on 20 Apr 2021
Print article
Image: Axial chest CT showing PM, SAT, and IMAT areas (arrowheads) (Photo courtesy of RSNA)
Image: Axial chest CT showing PM, SAT, and IMAT areas (arrowheads) (Photo courtesy of RSNA)
Chest computerized tomography (CT) scans to identify body fat composition can aid chronic obstructive pulmonary disease (COPD) evaluation, claims a new study.

Researchers at the University of California San Diego (UCSD; USA), Johns Hopkins University School of Medicine (JHU-SOM; Baltimore, MD, USA), and other institutions conducted a secondary analysis of data from 2,994 participants (mean age 69 years; 1,551 women) from the Multi-Ethnic Study of Atherosclerosis, who had chest CT available from 2010–2012. The participants were analyzed to determine subcutaneous adipose tissue (SAT), intermuscular adipose tissue (IMAT), and pectoralis muscle (PM) areas.

Spirometry evaluations of the patients were used to establish COPD diagnosis, and mortality data were extracted from the U.S. National Death Index (April 2010 to December 2017). Of the study participants, 265 suffered from COPD (9%), of whom 49 (18%) died during follow-up. The researchers then searched for correlations of the soft-tissue markers and COPD risk of mortality. The results revealed that higher subcutaneous adipose tissue was associated with lower risks of all-cause mortality in the COPD patients, whereas higher intermuscular adipose tissue was associated with higher mortality rates. The study was published on April 6, 2012, in Radiology.

“Compared with subcutaneous adipose tissue quantification, intermuscular adipose tissue may be a better marker for predicting all-cause mortality in patients with COPD, as it is an indicator of other underlying comorbidities, such as diabetes and hypertension,” concluded lead author Farhad Pishgar, MD, of JHU, and colleagues. “In theory, CT-derived body composition assessments would provide an opportunity for earlier interventions in patients who face a higher risk of adverse health events.”

COPD is a debilitating lung disease that limits the flow of air to and from the lungs, causing shortness of breath. In contrast to asthma, the characteristically low airflow on lung function tests is poorly reversible and is characterized by occasional sudden worsening of symptoms called acute exacerbations, most of which are caused by infections or air pollution. COPD is usually caused by noxious particles or gas, most commonly from tobacco smoking, which trigger an abnormal inflammatory response in the lung.

Related Links:
University of California San Diego
Johns Hopkins University School of Medicine


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Computed Tomography (CT) Scanner
Aquilion Serve SP
New
Digital Radiography Generator
meX+20BT lite
New
Mobile Digital C-arm X-Ray System
HHMC-200D

Print article

Channels

Ultrasound

view channel
Image: The powerful machine learning algorithm can “interpret” echocardiogram images and assess key findings (Photo courtesy of 123RF)

Largest Model Trained On Echocardiography Images Assesses Heart Structure and Function

Foundation models represent an exciting frontier in generative artificial intelligence (AI), yet many lack the specialized medical data needed to make them applicable in healthcare settings.... Read more

Nuclear Medicine

view channel
Image: The multi-spectral optoacoustic tomography (MSOT) machine generates images of biological tissues (Photo courtesy of University of Missouri)

New Imaging Technique Monitors Inflammation Disorders without Radiation Exposure

Imaging inflammation using traditional radiological techniques presents significant challenges, including radiation exposure, poor image quality, high costs, and invasive procedures. Now, new contrast... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more