New Scan Method Shows Effects of Treatment on Lung Function in Real Time
By MedImaging International staff writers Posted on 25 Dec 2024 |

A new lung scanning technique has been developed that allows for real-time observation of how treatments affect lung function, enabling clinicians to assess the condition of transplanted lungs. This breakthrough could help doctors identify declines in lung function more quickly.
The method, developed by a team of researchers at Newcastle University (Newcastle upon Tyne, UK), allows experts to track how air moves in and out of the lungs in patients with asthma, chronic obstructive pulmonary disease (COPD), and who have undergone a lung transplant. The team published their findings in Radiology and JHLT Open, explaining their use of perfluoropropane, a special gas visible on an MRI scanner. Safe for patients to inhale and exhale, this gas helps reveal which areas of the lungs are receiving air. By using this technique, the team can identify which parts of the lungs are not properly ventilated and assess the extent of lung disease by measuring both well-ventilated and poorly ventilated regions.
The team demonstrated the effectiveness of the scans in patients with asthma or COPD, as detailed in their first paper in Radiology. This scanning method allows them to measure improvements in lung ventilation following treatments, such as the bronchodilator salbutamol. This finding suggests that the technique could be valuable for assessing new treatments for lung diseases in clinical trials. In another study, published in JHLT Open, the team applied the method to lung transplant recipients at Newcastle upon Tyne Hospitals NHS Foundation Trust. They refined the technique to measure lung function in transplant patients, which could improve the care and monitoring of these individuals. The sensitivity of the method enables early detection of lung function changes, allowing for quicker identification of lung problems and better patient care.
In their studies, the researchers scanned transplant recipients’ lungs as they breathed in and out, collecting MRI images that show how the gas reached different parts of the lungs. They examined patients with normal lung function as well as those experiencing chronic rejection, a common complication where the immune system attacks the transplanted lungs. In patients with chronic rejection, the scans revealed reduced air movement to the outer parts of the lungs, likely due to damage in the small airways, a hallmark of chronic lung allograft dysfunction. The researchers believe this scanning method holds promise for enhancing the clinical management of lung transplant recipients and patients with other lung diseases, providing an early, sensitive measurement of lung function that could lead to better treatment outcomes.
“We hope this new type of scan might allow us to see changes in the transplant lungs earlier and before signs of damage are present in the usual blowing tests,” said Professor Andrew Fisher, Professor of Respiratory Transplant Medicine at Newcastle Hospitals NHS Foundation Trust and Newcastle University, co-author of the study. “This would allow any treatment to be started earlier and help protect the transplanted lungs from further damage.”
Latest MRI News
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
- New Model Makes MRI More Accurate and Reliable
- Simple Scan Could Identify Patients at Risk for Serious Heart Problems
- Pioneering MRI Technique Detects Pre-Malignant Pancreatic Lesions for The First Time
- Portable MRI Shows Promise for Expanding Brain Imaging for Alzheimer’s Disease
Channels
Radiography
view channel
AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
A new study has revealed that an artificial intelligence (AI)-powered solution significantly improves cancer detection in single-reader mammography settings without increasing recall rates, offering a... Read more
Photon Counting Detectors Promise Fast Color X-Ray Images
For many years, healthcare professionals have depended on traditional 2D X-rays to diagnose common bone fractures, though small fractures or soft tissue damage, such as cancers, can often be missed.... Read moreUltrasound
view channel
Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
Echocardiography is a diagnostic procedure that uses ultrasound to visualize the heart and its associated structures. This imaging test is commonly used as an early screening method when doctors suspect... Read more
Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read moreNuclear Medicine
view channel
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read more
Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
Neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS) and Alzheimer’s disease, are often diagnosed only after physical symptoms appear, by which time treatment may no longer be effective.... Read moreGeneral/Advanced Imaging
view channel
AI Reduces CT Lung Cancer Screening Workload by Almost 80%
Lung cancer impacts over 48,000 individuals in the UK annually, and early detection is key to improving survival rates. The UK Lung Cancer Screening (UKLS) trial has already shown that low-dose CT (LDCT)... Read more
Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
Stroke is the second leading cause of death globally, claiming millions of lives each year. Ischemic stroke, in particular, occurs when a blood vessel that supplies blood to the brain becomes blocked.... Read more
AI System Detects Subtle Changes in Series of Medical Images Over Time
Traditional approaches for analyzing longitudinal image datasets typically require significant customization and extensive pre-processing. For instance, in studies of the brain, researchers often begin... Read more
New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
Cancers of the mouth, nose, and throat are becoming increasingly common in the U.S., particularly among younger individuals. Approximately 60,000 new cases are diagnosed annually, with 20% of these cases... Read moreImaging IT
view channel
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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more