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

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

By MedImaging International staff writers
Posted on 18 Nov 2024

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung scarring (fibrosis) and can be life-threatening due to respiratory failure. Predicting the onset of interstitial lung disease caused by immunotherapy remains a challenge. As a result, there is a need for reliable methods to assess the risk of developing this condition following immunotherapy. Now, a new study has found that PET/CT image analysis combined with artificial intelligence (AI) can predict the likelihood of developing interstitial lung disease.

In this retrospective study, researchers from Niigata University (Niigata, Japan) analyzed data from 165 patients with primary lung cancer who were undergoing immunotherapy. It is generally believed that interstitial lung disease might develop when inflammation triggered by immunotherapy affects healthy lung tissue in addition to cancer cells. Based on this, the researchers hypothesized that patients with significant inflammation in their healthy lungs prior to treatment might be at greater risk of developing interstitial lung disease.


Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

To test this hypothesis, the researchers utilized PET/CT scans, a nuclear imaging technique that can detect inflammation throughout the body. They used AI to assess the level of inflammation in noncancerous regions of the lungs—areas not affected by the cancer. The study, published in Academic Radiology, found that patients with high levels of inflammation in the healthy lung tissue were about 6.5 times more likely to develop interstitial lung disease after immunotherapy compared to those with lower inflammation.

"PET/CT is generally performed to detect cancer metastasis, but it would potentially be useful for estimating the risks of side effects associated with cancer treatment,” said researcher Motohiko Yamazaki. “The results of our study may not only help to predict the occurrence of interstitial lung disease after immunotherapy, but also to elucidate the mechanism of this serious side effect. We should conduct a multicenter prospective study for further investigation."


New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
MRI System
Ingenia Prodiva 1.5T CS
New
Mobile Barrier
Tilted Mobile Leaded Barrier
New
Gold Member
X-Ray QA Meter
T3 RG Pro

Latest Nuclear Medicine News

New Molecular Imaging Agent Accurately Identifies Crucial Cancer Biomarker

New Scans Light Up Aggressive Tumors for Better Treatment

AI Stroke Brain Scan Readings Twice as Accurate as Current Method