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

PET Scans Help Change Treatment Options in Majority of Colorectal Cancer Patients

By MedImaging International staff writers
Posted on 13 Oct 2008
Print article
A new, powerful imaging tool has been shown to be valuable in detecting recurrence and progression of colorectal disease.

In the largest multi-institutional study to date evaluating the impact of positron emission tomography (PET) imaging in changing disease management of individuals with suspected recurrent colorectal cancer, researchers discovered that treatment plans were changed for more than half of the patients, according to their findings, published in the September 2008 issue of the Journal of Nuclear Medicine (JNM).

The study was conducted at four sites throughout Australia and made up of 191 patients who were divided into two groups. Group A consisted of symptomatic patients who had residual structural lesions suspicious for recurrent tumor after initial therapy. Group B was comprised of patients with pulmonary or hepatic metastases that were potentially operable. These results were compared with findings from conventional imaging (such as computed tomography [CT]), and participants were followed for 12 months.

"Designed with an evidence-based approach, this study confirmed the important role PET plays in the decision-making process of patients with colorectal cancer and the impact of PET on both the management and outcome of disease,” said Andrew M. Scott, M.D., director of the Center for PET and the Ludwig Institute for Cancer Research, Austin Hospital (Melbourne, VIC, Australia). "These results are compelling and indicate that PET should be made more widely available to patients.”

Based on the extent and progression of disease revealed by the scans, treating physicians altered the planned management in more than 65% of patients in group A and almost 50% in group B. The researchers also found additional disease sites in 48% of group A and 44% in group B, providing valuable prognostic information about patients that allowed their stratification into curative or palliative groups.

"PET was able to identify those patients who had potential for long-term, progression-free survival and even a potential cure,” said Dr. Scott. "Just as important, it identified those patients with aggressive disease, enabling them to avoid unnecessary treatment, such as surgery.”

In the United States, imaging results from PET scans have also changed clinicians' decisions in the treatment and care of more than one in three cancer patients, according to data collected by the U.S. National Oncologic PET Registry (NOPR).

The registry, which was formed at the request of the U.S. Centers for Medicare and Medicaid Services (CMS), has found that PET prompted changes in care decisions in 36.5% of patient cases. The study has to date included over 23,000 patients in more than 1,200 PET facilities in the United States.

"These data should encourage molecular imaging practitioners to engage with referring physicians early in the process of cancer treatment,” added Dr. Scott. "It is clear that PET had a significant impact for these patients, and could be an indispensable part of the standards of care for oncologists.”

Related Links:

Ludwig Institute for Cancer Research

X-Ray Illuminator
X-Ray Viewbox Illuminators
NMUS & MSK Ultrasound
InVisus Pro
New
MRI Infusion Workstation
BeneFusion MRI Station
Portable Color Doppler Ultrasound Scanner
DCU10

Print article

Channels

Radiography

view channel
Image: The new machine algorithm can identify cardiovascular risk at the click of a button (Photo courtesy of Adobe Stock)

Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans

A new study published in the Journal of Bone and Mineral Research reveals that an automated machine learning program can predict the risk of cardiovascular events and falls or fractures by analyzing bone... 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