Tumor-Specific Imaging Agent Helps Resect Ovarian Cancer
By MedImaging International staff writers Posted on 29 Jun 2016 |

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
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
Latest Nuclear Medicine News
- New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access
- New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively
- AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging
- Early 30-Minute Dynamic FDG-PET Acquisition Could Halve Lung Scan Times
- New Method for Triggering and Imaging Seizures to Help Guide Epilepsy Surgery
- Radioguided Surgery Accurately Detects and Removes Metastatic Lymph Nodes in Prostate Cancer Patients
- New PET Tracer Detects Inflammatory Arthritis Before Symptoms Appear
- Novel PET Tracer Enhances Lesion Detection in Medullary Thyroid Cancer
- Targeted Therapy Delivers Radiation Directly To Cells in Hard-To-Treat Cancers
- New PET Tracer Noninvasively Identifies Cancer Gene Mutation for More Precise Diagnosis
- Algorithm Predicts Prostate Cancer Recurrence in Patients Treated by Radiation Therapy
- Novel PET Imaging Tracer Noninvasively Identifies Cancer Gene Mutation for More Precise Diagnosis
- Ultrafast Laser Technology to Improve Cancer Treatment
- Low-Dose Radiation Therapy Demonstrates Potential for Treatment of Heart Failure
- New PET Radiotracer Aids Early, Noninvasive Detection of Inflammatory Bowel Disease
- Combining Amino Acid PET and MRI Imaging to Help Treat Aggressive Brain Tumors
Channels
Radiography
view channel
Novel Breast Imaging System Proves As Effective As Mammography
Breast cancer remains the most frequently diagnosed cancer among women. It is projected that one in eight women will be diagnosed with breast cancer during her lifetime, and one in 42 women who turn 50... Read more
AI Assistance Improves Breast-Cancer Screening by Reducing False Positives
Radiologists typically detect one case of cancer for every 200 mammograms reviewed. However, these evaluations often result in false positives, leading to unnecessary patient recalls for additional testing,... Read moreMRI
view channel
PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients
The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more
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
Two-Part MRI Scan Detects Prostate Cancer More Quickly without Compromising Diagnostic Quality
Prostate cancer ranks as the most prevalent cancer among men. Over the last decade, the introduction of MRI scans has significantly transformed the diagnosis process, marking the most substantial advancement... Read moreUltrasound
view channel
Deep Learning Advances Super-Resolution Ultrasound Imaging
Ultrasound localization microscopy (ULM) is an advanced imaging technique that offers high-resolution visualization of microvascular structures. It employs microbubbles, FDA-approved contrast agents, injected... Read more
Novel Ultrasound-Launched Targeted Nanoparticle Eliminates Biofilm and Bacterial Infection
Biofilms, formed by bacteria aggregating into dense communities for protection against harsh environmental conditions, are a significant contributor to various infectious diseases. Biofilms frequently... Read moreNuclear Medicine
view channel
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
New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively
Ovarian cancer is the most lethal gynecological cancer, with less than a 30% five-year survival rate for those diagnosed in late stages. Despite surgery and platinum-based chemotherapy being the standard... Read more
AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging
Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read moreGeneral/Advanced Imaging
view channel
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.jpg)
CT Coronary Angiography Reduces Need for Invasive Tests to Diagnose Coronary Artery Disease
Coronary artery disease (CAD), one of the leading causes of death worldwide, involves the narrowing of coronary arteries due to atherosclerosis, resulting in insufficient blood flow to the heart muscle.... Read more
Novel Blood Test Could Reduce Need for PET Imaging of Patients with Alzheimer’s
Alzheimer's disease (AD), a condition marked by cognitive decline and the presence of beta-amyloid (Aβ) plaques and neurofibrillary tangles in the brain, poses diagnostic challenges. Amyloid positron emission... Read more.jpg)
CT-Based Deep Learning Algorithm Accurately Differentiates Benign From Malignant Vertebral Fractures
The rise in the aging population is expected to result in a corresponding increase in the prevalence of vertebral fractures which can cause back pain or neurologic compromise, leading to impaired function... Read moreImaging IT
view channel
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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
Bayer and Google Partner on New AI Product for Radiologists
Medical imaging data comprises around 90% of all healthcare data, and it is a highly complex and rich clinical data modality and serves as a vital tool for diagnosing patients. Each year, billions of medical... Read more