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.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




New Imaging Method Could Accurately Identify Serious Lung Infections in Real Time

By MedImaging International staff writers
Posted on 16 Aug 2023
Print article
Image: The new imaging method has the potential to identify specific lung infections in real time (Photo courtesy of University of Cincinnati)
Image: The new imaging method has the potential to identify specific lung infections in real time (Photo courtesy of University of Cincinnati)

Radiologists presently rely on chest X-rays to confirm the diagnosis of pneumonia and similar lung infections. However, X-rays fall short of specifying the nature of the infection as it does not confirm whether it's bacterial, viral, or fungal. To identify the exact type of infection, pathologists need to culture a sample from the lung, obtained through an invasive procedure known as bronchoscopy. This process usually takes 2-3 days. For patients in critical condition, especially those with conditions like chronic obstructive pulmonary disease (COPD) and infectious pneumonia, waiting isn't always an option.

Now, researchers at the University of Cincinnati (Cincinnati, OH, USA) are developing an imaging technique that can identify specific lung infections in real time, thereby expediting treatment for critically ill patients who are most at risk. Supported by a five-year USD 3 million grant from the National Heart, Lung, and Blood Institute (NHLBI), the researchers will focus on designing and testing the efficacy of different types of injectable probes or metallic contrast agents. Once injected, these agents would accumulate at the infection site and become detectable in real time using a PET scan.

One key advantage of this new imaging method is the quick development process of the contrast agent that eliminates the need for elaborate processing or preparation time as compared to the time-consuming and complicated development of contrast agents. Streamlining this process will not only cut down lab preparation time but also pave the way for its broader clinical adoption. The researchers are currently testing the method in animal models, focusing on bacterial and viral pneumonia associated with COPD. However, the potential of this imaging method extends to other types of infections such as fungal infections or conditions like cystic fibrosis. Post-treatment imaging can provide insights into a patient's response to medications, like antibiotics, and even guide the choice of the most effective antibiotic by identifying the responsible pathogens.

“Our solution is to use imaging to identify what is causing the pneumatic episode within hours, to hasten a treatment plan,” said University of Cincinnati researcher Nalinikanth Kotagiri who is leading the study.

Related Links:
University of Cincinnati

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Thyroid Shield
Standard Thyroid Shield
New
X-Ray QA Meter
Piranha CT
New
Breast Imaging Workstation
SecurView

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

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
Copyright © 2000-2024 Globetech Media. All rights reserved.