Researchers develop radical non-invasive technology to diagnose respiratory lung diseases

Monash University researchers in Australia have developed radical non-invasive technology that can be used to diagnose respiratory lung diseases, such as cystic fibrosis and lung cancer, and potentially fast-track treatments for patients.

Researchers have for the first time taken technology usually confined to high-tech synchrotron facilities into a common laboratory setting, and applied new four-dimensional X-ray velocity (XV Technology) imaging to provide high-definition and sensitive real-time images of airflow through the lungs in live organisms.

The study, led by Dr. Rhiannon Murrie from the Department of Mechanical and Aerospace Engineering at Monash University, shows the likely impact this technology has in respiratory disease detection, monitoring and treatment through non-invasive and non-terminal means.

The technology also has the potential to see whether treatments for respiratory illnesses are working much earlier.

The technology has since been commercialized by Australian-based med-tech company 4Dx Limited, led by CEO and former Monash University researcher Professor Andreas Fouras. The technology has been upscaled for human clinical trials taking place in the USA, with Phase I already completed successfully.

The study was published in the internationally-renowned Nature Research Scientific Reports in January 2020.

The early diagnosis and ongoing monitoring of genetic and chronic lung diseases, such as cystic fibrosis, asthma and lung cancer, is currently hampered by the inability to capture the spatial distribution of lung function in a breathing lung.

Since pulmonary function tests are measured at the mouth, these tests are unable to localize where in the lung any change in function originates. Additionally, CT scans, while providing quality 3D images, cannot image the lung while it is breathing, which means airflow through the airways and into the lung tissue cannot be measured."

Dr. Rhiannon Murrie, Department of Mechanical and Aerospace Engineering at Monash University

Research by Dr. Murrie and the multi-disciplinary collaboration of physicists, engineers, biologists and clinicians are changing this approach to the diagnosis and treatment of lung diseases, by determining the functional lung movement and airflow in live mice, acquired through X-ray technology at 30 frames per second.

A comparison of a cystic fibrosis mouse model against a healthy control mouse allowed researchers to observe a dramatic reduction in lung aeration in the left lung of the diseased mouse largely due to an obstructed airway path.

Researchers were able to pinpoint the exact locations where lung deficiencies were present and the location of the obstruction causing the restricted airflow.

The successful trial opens up avenues for respiratory diseases to be diagnosed, treated and managed earlier than current technology allows and at a lower radiation dose than current CT scanning.

"The ability to perform this technique in the lab makes longitudinal studies on disease progression and treatment development feasible at readily accessible facilities across the world," Dr Murrie said.

"This finding is an exciting step in advancing the understanding of lung diseases and treatments that affect millions of people globally, and particularly for those with cystic fibrosis, which affects more than 70,000 people worldwide."

Professor Fouras said:

I am pleased to see this technology, originally developed at Monash University, and now being commercialized to maximize clinical impact, also enabling cutting-edge medical research like this."

Source:
Journal reference:

Murrie, R.P., et al. (2020) Real-time in vivo imaging of regional lung function in a mouse model of cystic fibrosis on a laboratory X-ray source. Scientific Reports. doi.org/10.1038/s41598-019-57376-w.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Novel nasal spray shows promise in preventing respiratory infections