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
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Tumor-Specific Imaging Agent Helps Resect Ovarian Cancer

By MedImaging International staff writers
Posted on 29 Jun 2016
Print article
Image: An intraoperative detection of ovarian cancer metastases using fluorescence-based imaging (Photo courtesy of LUMC).
Image: An intraoperative detection of ovarian cancer metastases using fluorescence-based imaging (Photo courtesy of LUMC).
A novel contrast agent for intraoperative near-infrared (NIR) fluorescence imaging can help surgeons detect nearly 30% more ovarian tumor tissue, according to a new study.

Developed by researchers at Leiden University Medical Center (LUMC, The Netherlands), the new, tumor-specific agent, called OTL38, is a combination of a NIR fluorescent dye and a folate analog. A dedicated imaging system is used to identify the fluorescent signal generated after the agent binds to a protein called folate receptor-alpha (FRα), which is expressed in more than 90% of ovarian cancers, but in much lower levels in healthy tissue. Since NIR light at 796 nm penetrates centimeters-deep into tissue, surgeons can use OTL38 to visualize tumors under the surface of the tissue.

In a randomized, double blind, placebo-controlled clinical trial, the researchers administered OTL38 to 12 patients who had epithelial ovarian cancer and were scheduled for cytoreductive surgery. They measured tolerability and blood pharmacokinetics, as well as the ability to detect the tumor. The results showed that OTL38 accumulated in both FR-α tumors and metastases, enabling the surgeons to resect an additional 29% of malignant lesions that were not identified using inspection or palpation. The study was published on June 15, 2106, in Clinical Cancer Research.

“Surgery is the most important treatment for ovarian cancer, and surgeons mainly have to rely on their naked eyes to identify tumor tissue, which is not optimal,” said lead author Alexander Vahrmeijer, MD, who heads the image-guided surgery group at LUMC. “A limitation of this study is that we cannot say yet what the impact of our findings is on cure or survival of the patients. It is reasonably plausible to assume that if more cancer is removed the survival will be better.”

Folate can be used like a Trojan horse to sneak an imaging agent or drug into a cancer cell; ovarian cancer has one of the highest rates of FR-α receptor expression. Approximately 80% of endometrial, lung, and kidney cancers, and 50% of breast and colon cancers also express the receptor.

Related Links:
Leiden University Medical Center

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Portable X-Ray Unit
AJEX240H
New
Ultrasound System
P20 Elite
DR Flat Panel Detector
1500L

Print article
Radcal

Channels

MRI

view channel
Image: Exablate Prime features an enhanced user interface and enhancements to optimize productivity (Photo courtesy of Insightec)

Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery

Essential tremor, often called familial, idiopathic, or benign tremor, leads to uncontrollable shaking that significantly affects a person’s life. When traditional medications do not alleviate symptoms,... Read more

Nuclear Medicine

view channel
Image: The new SPECT/CT technique demonstrated impressive biomarker identification (Journal of Nuclear Medicine: doi.org/10.2967/jnumed.123.267189)

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more

General/Advanced Imaging

view channel
Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... 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.