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

FDG-PET Predicts Prognosis of Patients with Inoperable Non-Small-Cell Lung Cancer

By MedImaging International staff writers
Posted on 31 Oct 2011
Print article
The prognosis for patients with stage II and III inoperable non-small-cell lung cancer (NSCLC) is poor, with only about 15% of patients surviving at five years after treatment for the disease. Whereas new treatment strategies are being intensely studied, timely assessment of their efficacy has proven difficult.

In a presentation on October 2011 at the 2011 annual meeting of the American Society for Radiation Oncology (ASTRO) in Miami Beach (FL, USA), Mitchell Machtay, MD, lead investigator of the ACRIN 6668/RTOG [Radiation Oncology Therapy Group] 0235 trial and RTOG deputy chair, reported that posttreatment F-18 fluorodeoxyglucose-positron emission tomography (FDG-PET) imaging scans show promise for predicting the prognosis of patients with inoperable disease. “These results are encouraging,” said Dr. Machtay. “Definitive prognostic information after a patient completes therapy has not been available for making decisions about further treatment options, and these preliminary results suggest that FDG-PET may play an important role in that regard.”

Twenty American College of Radiology Imaging Network (ACRIN; Reston, VA, USA) and RTOG participating sites enrolled 251 patients into the phase III trial that gathered pre- and posttreatment FDG-PET scans—treatments, which included both chemotherapy and radiation therapy. Specifically, investigators sought to determine if the standardized uptake value (SUV), a quantitative measure of how rapidly tumor cells are using the glucose-based FDG radiotracer, obtained on posttreatment FDG-PET scans was predictive of a patient’s survival. As Dr. Machtay reported, “The posttreatment 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, and the higher the SUV measure in the primary tumor, the greater the recurrence rate and the lower a patient’s corresponding survival outlook.”

“The results suggest that FDG-PET has a role in helping physicians make more informed treatment decisions, such as starting a patient on a new chemotherapy program,” stated Barry Siegel, MD, ACRIN codeputy chair and medical director of the ACR PET Imaging Core Laboratory, “and helping investigators determine whether a treatment regimen is worthy of further study before long-term survival data are available.”

The FDG-PET scan findings provided for this analysis were interpreted by physicians at the participating sites. Further analyses are ongoing evaluating scan data interpreted by central review at the ACR Imaging Core Laboratory and using other semiquantitative measures.

Related Links:
American College of Radiology Imaging Network



NMUS & MSK Ultrasound
InVisus Pro
X-Ray Illuminator
X-Ray Viewbox Illuminators
New
Radiation Shielding
Oversize Thyroid Shield
New
MRI Infusion Workstation
BeneFusion MRI Station

Print article

Channels

MRI

view channel
Image: The AI tool can help interpret and assess how well treatments are working for MS patients (Photo courtesy of Shutterstock)

AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans

Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... 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