Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




PET Imaging Effective in Predicting Lung Cancer Outcomes

By MedImaging International staff writers
Posted on 27 Oct 2011
Advanced imaging with positron emission tomography (PET) scans shows great potential in predicting which patients with inoperable lung cancer have more aggressive tumors and need additional treatment following standard chemotherapy/radiation therapy, according to new findings.

Mitch Machtay, MD, from the Seidman Cancer Center at University Hospitals (UH) Case Medical Center (Cleveland, OH, USA), and lead investigator for the study, presented the data October 6, 2011, at the annual meeting of the American Society for Radiation Oncology (ASTRO) in Miami Beach (FL, USA). The US National Cancer Institute (Bethesda, MD, USA) -funded trial, led by the American College of Radiology Imaging Network (ACRIN; Reston, VA, USA) in collaboration with Radiation Therapy Oncology Group (RTOG), enrolled 251 patients at 60 cancer centers around the United States.

“Lung cancer remains the number one cancer killer in the United States. These findings have the potential to give cancer physicians a new tool to more effectively tailor treatments for patients with locally advanced lung cancer,” said Dr. Machtay, chairman of radiation oncology at UH Case Medical Center and Case Western Reserve University School of Medicine (Cleveland, OH, USA). “This cooperative group study determined that the PET scan can show us which patients have the most aggressive tumors, potentially enabling us to intensify their treatment.”

In this study, stage III lung cancer patients had PET scans before and after a combined treatment regimen of chemotherapy and radiation therapy. They measured how rapidly tumors absorb a radioactive sugar molecule (known as fluorodeoxyglucose [FDG]). Since most cancer cells take up glucose at a higher rate than normal cells, areas of tumor typically light up brightly on PET scans.

The researchers found that the post-treatment scan was predictive for patients’ prognosis by identifying that patients with high levels of FDG uptake following treatment had more aggressive tumors that were more likely to recur. The researchers found that the higher the standard uptake value (SUV) for FDG in the primary tumor, the greater the recurrence rate and the lower the survival rate of patients.

The findings also showed that there was a strong correlation between the radiation dose intensity and local control of the cancer, indicating that further research needs to be conducted in radiation technology for lung cancer. “This is one of the largest studies of its kind to show that PET scans have great potential in predicting the prognosis for patients with inoperable lung cancer,” explained Dr. Machtay. “It supports the theory that PET scans add an important new dimension to a physician’s ability to determine which patients need additional cancer therapies to best manage their disease.”

Related Links:
Seidman Cancer Center at University Hospitals Case Medical Center

Silver Member
X-Ray QA Device
Accu-Gold+ Touch Pro
X-Ray Illuminator
X-Ray Viewbox Illuminators
Ultrasonic Pocket Doppler
SD1
Pocket Fetal Doppler
CONTEC10C/CL

Channels

General/Advanced Imaging

view channel
CT and fused SPECT-CT images L to R of representative healthy control, pulmonary fibrosis participant & hypersensitivity pneumonitis participant (Image courtesy of SNMMI)

New SPECT/CT Method Differentiates Inflammation from Fibrosis in Interstitial Lung Disease

Interstitial lung disease (ILD) encompasses more than 200 disorders that inflame or scar the lung interstitium and can lead to progressive respiratory failure. Determining whether active inflammation is... Read more

Imaging IT

view channel
Image: Researchers develop a vision-language model trained on large-scale data to generate clinically relevant findings from chest computed tomography images through visual question answering (Ms. Maiko Nagao from Meijo University, Japan)

Interactive AI Tool Supports Explainable Lung Nodule Assessment

Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more

Industry News

view channel
Image: MIM KineticID is 510(k)-pending software for dynamic PET imaging and kinetic modeling, enabling time-based radiotracer analysis for clinical and research decisions (Photo courtesy of GE Healthcare)

GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026

Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.