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 Scan with [11C]erlotinib Shown to Identify Tyrosine Kinase Inhibitor-Responsive Lung Tumors

By MedImaging International staff writers
Posted on 25 Jul 2011
Print article
A noninvasive positron emission tomography (PET) imaging technique may identify lung cancers that respond best to tyrosine kinase inhibitors (TKIs), allowing clinicians to better select patients for customized therapy.

The study’s findings were presented July 5, 2011, at the 14th World Conference on Lung Cancer in Amsterdam (The Netherlands), hosted by the International Association for the Study of Lung Cancer (IASLC). “As more and more therapeutic agents are becoming available for non-small-cell lung cancer therapy, selecting the best drug for each individual patient becomes increasingly challenging,” said lead investigator Dr. Idris Bahce, of the VU University Medical Center (Amsterdam; The Netherlands). “Predictive markers may offer guidance in personalizing therapy.”

One marker that predicts tumor response to TKIs is the activating mutation of the epidermal growth factor receptor (EGFR) gene of the tumor cells, according to Dr. Bahce. However, it is not easy to obtain adequate tumor tissue from the patient for DNA analysis to determine whether the mutation exists.

In the study, non-small-cell lung cancer (NSCLC) patients underwent PET scans using radiolabeled erlotinib, a TKI. “We found that patients who had an activating EGFR mutation also had an increased tracer uptake and were more sensitive to treatment with erlotinib as compared to those who did not have this mutation,” Dr. Bahce stated. “This is an important finding, as it indicates that this new imaging PET technique may be a noninvasive, predictive marker that identifies NSCLC patients who benefit from treatment with TKIs.”

Ten NSCLC patients, five with wild-type EGFR and five with activating EGFR mutations--determined by DNA sequencing on tumor tissue--were included in the study. Each was scanned twice using a procedure that included a low-dose computed tomography (CT) scan, a 10-minute [15O]water dynamic PET scan and a one-hour [11C]erlotinib dynamic PET scan.

Tumor uptake of [11C]erlotinib was significantly higher in the mutated group (median uptake [VT] = 1.70; range 1.33-2.30) than in the wild-type group (median uptake [VT] = 1.18; range, 0.75-1.34; p = 0.03). This difference was not due to differences in tumor perfusion. The researchers reported that tracer [11C]erlotinib uptake correlated with tumor response to subsequent erlotinib treatment, as only high-uptake tumors responded to treatment.

Related Links:

VU University Medical Center


Portable Color Doppler Ultrasound System
S5000
New
Ultrasound Needle Guide
Ultra-Pro 3
Portable X-ray Unit
AJEX140H
New
Radiation Shielding
Oversize Thyroid Shield

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