New York: A study led by an Indian-origin researcher of University of Cincinnati looks to develop a new imaging technique that can identify certain types of lung infections in order to speed up treatment for critically ill patients. According to Nalinikanth Kotagiri, an associate professor of pharmaceutical sciences at the UC James L. Winkle College of Pharmacy, imaging has the potential to identify specific lung infections in real time -- instead of taking two to three days.

Kotagiri and his team will develop and study the effectiveness of different kinds of injectable probes (metallic contrast agents) that would collect at the site of the infection and immediately light up under a nuclear imaging machine, known as a PET scan.

Currently, radiologists use chest X-rays to confirm the diagnosis of pneumonia and other infections in the lungs, which cannot determine the specifics of the infection or whether the infection is bacterial, viral or fungal.

A specific diagnosis can only be determined by a pathologist, after culturing a sample of lung tissue which is collected from an invasive procedure (called a bronchoscopy) and takes time, typically two-three days. Critically ill patients, however, such as those with infectious pneumonia and underlying conditions such as chronic obstructive pulmonary disease (COPD), might not have time to spare, says Kotagiri.

“Our solution is to use imaging to identify what is causing the pneumatic episode,” within hours, to hasten a treatment plan, he says. An added benefit, says Kotagiri, is that the contrast agent development process “doesn’t require elaborate processing or preparation time”.

This is critical as development of contrast agents can be time-consuming and complicated. A simple and fast process is expected to reduce preparation time in a clinical laboratory and potentially enable adoption of the technology in a clinical setting.

With this study in animal models, Kotagiri and team will only be looking at bacterial and viral pneumonias in conjunction with COPD, but the imaging approach has the potential to apply to other types of infections such as fungal infections or conditions such as cystic fibrosis.