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 hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




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

By MedImaging International staff writers
Posted on 18 Nov 2024
Print article
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)

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.

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
Radiation Therapy Treatment Software Application
Elekta ONE
New
Gold Member
X-Ray QA Meter
T3 RG Pro
New
Digital X-Ray Detector Panel
Acuity G4

Print article

Channels

Ultrasound

view channel
Image: A transparent ultrasound transducer-based photoacoustic-ultrasound fusion probe, along with images of a rat’s rectum and a pig’s esophagus (Photo courtesy of POSTECH)

Transparent Ultrasound Transducer for Photoacoustic and Ultrasound Endoscopy to Improve Diagnostic Accuracy

Endoscopic ultrasound is a commonly used tool in gastroenterology for cancer diagnosis; however, it provides limited contrast in soft tissues and only offers structural information, which reduces its diagnostic... Read more

General/Advanced Imaging

view channel
Image: The low-level and high-level attention maps for individuals in each GOLD stage for the I- and E-CNNs (Photo courtesy of Radiology: Cardiothoracic Imaging, doi.org/10.1148/ryct.240005)

Deep Learning Model Accurately Diagnoses COPD Using Single Inhalation Lung CT Scan

Chronic obstructive pulmonary disease (COPD) is a progressive lung condition that impairs breathing and is characterized by symptoms like shortness of breath and fatigue. It is the third leading cause... 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.