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

X-Ray Imaging System Enables Scientists to See in Real Time How Effective Treatments are for Cystic Fibrosis

By MedImaging International staff writers
Posted on 25 Aug 2014
Print article
Image: Dr. Kaye Morgan, Monash University (Photo courtesy of Monash University).
Image: Dr. Kaye Morgan, Monash University (Photo courtesy of Monash University).
A new imaging approach allows researchers to monitor the effectiveness of a treatment for the life-threatening genetic disorder.

Cystic fibrosis affects many of the body’s systems, but most severely the lungs, and currently it can take several months to measure how effective treatment is for the early-fatal lung disease.

Dr. Kaye Morgan, from Monash University (Melbourne; VIC, Australia), and lead researcher of the study, reported that the new X-ray imaging strategy allows researchers to visualize soft tissue structures, for example, the airways, brain, and lungs, which are effectively hidden in standard X-ray images. “At the moment we typically need to wait for a cystic fibrosis treatment to have an effect on lung health, measured by either a lung CT [computed tomography] scan or breath measurement, to see how effective that treatment is,” Dr. Morgan said. “However the new imaging technique allows us for the first time to noninvasively see how the treatment is working ‘live’ on the airway surface.”

Dr. Morgan noted that this X-ray imaging method would enable clinicians and researchers to measure how effective treatments are, and progress new treatments to the clinic at a much quicker rate, a key goal of the investigators. “Because we will be able to see how effectively treatments are working straight away, we’ll be able to develop new treatments a lot more quickly, and help better treat people with cystic fibrosis,” Dr. Morgan said.

Dr. Morgan noted that the new imaging technology, which was developed using a synchrotron X-ray source, may also create new avenues for assessing how effective treatments were for other lung, heart, and brain diseases.

The study’s findings were published August 15, 2014, in the American Journal of Respiratory and Critical Care Medicine.

Related Links:

Monash University


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
CT Phantom
CIRS Model 610 AAPM CT Performance Phantom
New
Color Doppler Ultrasound System
KC20
New
X-Ray Detector
FDR-D-EVO III

Print article

Channels

Ultrasound

view channel
Image: CAM figures of testing images (Photo courtesy of SPJ; DOI:10.34133/research.0319)

Diagnostic System Automatically Analyzes TTE Images to Identify Congenital Heart Disease

Congenital heart disease (CHD) is one of the most prevalent congenital anomalies worldwide, presenting substantial health and financial challenges for affected patients. Early detection and treatment of... Read more

Nuclear Medicine

view channel
Image: Whole-body maximum-intensity projections over time after [68Ga]Ga-DPI-4452 administration (Photo courtesy of SNMMI)

New PET Agent Rapidly and Accurately Visualizes Lesions in Clear Cell Renal Cell Carcinoma Patients

Clear cell renal cell cancer (ccRCC) represents 70-80% of renal cell carcinoma cases. While localized disease can be effectively treated with surgery and ablative therapies, one-third of patients either... 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