Pediatric PET Imaging of Pediatric Brain Tumors Gets a Boost with Easier-to-Manufacture Imaging Agent
|
By MedImaging International staff writers Posted on 04 Jul 2013 |
A comparatively new tool in the fight against childhood brain cancer has been shown enhance conventional magnetic resonance imaging (MRI) technologyby providing information about tumor metabolism and the level of cancer in children diagnosed with glioma, a growth caused by the abnormal division of glial cells in the brain.
The study investigators presented their findings at the Society of Nuclear Medicine and Molecular Imaging’s 2013 60th annual meeting, held June 8–12, 2013, in Vancouver (BC, Canada). Brain cancer imaging is frequently conducted with traditional MRI scanning, but there are some restrictions to this imaging technique. This type of cancer accounts for approximately 80% of all invasive brain tumors and develops in the brain’s glial cells that protect and maintain a state of neural equilibrium.
Traditional MRI can, at times, over- or underestimate the extent of these tumors and the precise shape of their outlying margins. An application of molecular imaging called positron emission tomography (PET), which provides data about physiologic processes instead of structures of the brain, can be performed with a range of imaging agents that bind to specific cellular systems to image gliomas. Two of the main kinds of brain imaging agents used for this objective provide information about either glucose metabolism of cells or the cellular metabolism of amino acids, the essential components of proteins utilized by tissues, in particular, rapidly growing so-called neoplastic tumors.
Amino-acid PET imaging has been shown to be better for detection of neoplastic tissue and treatment monitoring in cases of brain cancer than glucose imaging. Typically, the brain requires more glucose than the body’s other tissues and organs, making brain scans “noisier” and less defined than other regions because of this increase in overall cellular metabolism, whereas areas of increased amino acid activity show up clearly on scans as a visual “hot spot.” This study focuses on a specific amino acid imaging agent, O-(2-[18F]-fluoroethyl)-L-tyrosine (F-18 FET), and its diagnostic value for imaging pediatric gliomas when traditional MRI cannot make out a well-defined image of disease.
“Cancer of the brain and spinal cord are common in children and young adults, and caring for this particular group can be challenging because choice of treatment depends on specific information about the tumor. Tumors in younger patients show a greater variety in both type and size, and in many cases the tumors are located near critical brain structures that prohibit surgical removal,” said Veronika Dunkl, MD, a research scientist at the Institute of Neuroscience and Medicine, Forschungszentrum Jülich (Jülich, Germany). “In patients with brain tumors, contrast-enhanced structural MRI is currently the diagnostic method of choice. However, in youths with newly diagnosed cerebral lesions thought to be brain tumors, MRI’s ability to identify neoplastic tissue or tumor progression and recurrence after treatment is limited. F-18 FET is complementary and can potentially improve diagnosis and treatment of pediatric brain tumors.”
Pediatric brain imaging with PET and F-18 FET can be used not only to evaluate extent of tumors but also to help clinicians prepare for biopsy, surgery, and radiation therapies and monitor response to therapy and recurrence of tumors after completion of a treatment cycle.
F-18 FET is also distinctive from other amino acid PET agents because the generation of the drug can be centrally located and distributed by a radiopharmacy, whereas other amino acid-based PET agents must be manufactured by an on-site cyclotron—a huge particle accelerator that barrages particles with a target used to radiolabel the agent’s molecular compound. For F-18 FET, the amino acid tyrosine allows brain cells to signal each other. The greater logistical simplicity of F-18 FET is due to its radioactive half-life of approximately 110 minutes, whereas many other isotopes have a half-life of just approximately 20 minutes and must be administered for patient imaging almost instantly.
For this study, 15 young patients suspected of glioma cerebral cancer via MRI screening underwent PET imaging with the guidance of F-18 FET. This molecular imaging technique was found to be highly effective, about 87%, for identifying and differentiating brain lesions in children and young adults. The method was able to target 11 out of 12 brain lesions accurately as tumors and two out of three as a nontumorous growth. Repeated PET imaging (17 scans) for seven more pediatric patients provided significant information about cancer progression or remission. F-18 FET imaging was able to detect residual tumor and tumor progression in five out of six scans, and in 11 scans in which the tumor had been destroyed, for a 94% rate of accuracy.
“Results of the present study may improve the clinical management of this vulnerable patient population significantly, especially when a decision for further treatment is difficult or impossible on the basis of conventional MRI alone,” said Dr. Dunkl.
The US National Cancer Institute (Rockville, MD, USA) estimates that brain cancers are among the most common cancers in child populations. Incidence of pediatric brain tumors is approximately 3.2 cases per 100,000 people.
Related Links:
Institute of Neuroscience and Medicine, Forschungszentrum Jülich
The study investigators presented their findings at the Society of Nuclear Medicine and Molecular Imaging’s 2013 60th annual meeting, held June 8–12, 2013, in Vancouver (BC, Canada). Brain cancer imaging is frequently conducted with traditional MRI scanning, but there are some restrictions to this imaging technique. This type of cancer accounts for approximately 80% of all invasive brain tumors and develops in the brain’s glial cells that protect and maintain a state of neural equilibrium.
Traditional MRI can, at times, over- or underestimate the extent of these tumors and the precise shape of their outlying margins. An application of molecular imaging called positron emission tomography (PET), which provides data about physiologic processes instead of structures of the brain, can be performed with a range of imaging agents that bind to specific cellular systems to image gliomas. Two of the main kinds of brain imaging agents used for this objective provide information about either glucose metabolism of cells or the cellular metabolism of amino acids, the essential components of proteins utilized by tissues, in particular, rapidly growing so-called neoplastic tumors.
Amino-acid PET imaging has been shown to be better for detection of neoplastic tissue and treatment monitoring in cases of brain cancer than glucose imaging. Typically, the brain requires more glucose than the body’s other tissues and organs, making brain scans “noisier” and less defined than other regions because of this increase in overall cellular metabolism, whereas areas of increased amino acid activity show up clearly on scans as a visual “hot spot.” This study focuses on a specific amino acid imaging agent, O-(2-[18F]-fluoroethyl)-L-tyrosine (F-18 FET), and its diagnostic value for imaging pediatric gliomas when traditional MRI cannot make out a well-defined image of disease.
“Cancer of the brain and spinal cord are common in children and young adults, and caring for this particular group can be challenging because choice of treatment depends on specific information about the tumor. Tumors in younger patients show a greater variety in both type and size, and in many cases the tumors are located near critical brain structures that prohibit surgical removal,” said Veronika Dunkl, MD, a research scientist at the Institute of Neuroscience and Medicine, Forschungszentrum Jülich (Jülich, Germany). “In patients with brain tumors, contrast-enhanced structural MRI is currently the diagnostic method of choice. However, in youths with newly diagnosed cerebral lesions thought to be brain tumors, MRI’s ability to identify neoplastic tissue or tumor progression and recurrence after treatment is limited. F-18 FET is complementary and can potentially improve diagnosis and treatment of pediatric brain tumors.”
Pediatric brain imaging with PET and F-18 FET can be used not only to evaluate extent of tumors but also to help clinicians prepare for biopsy, surgery, and radiation therapies and monitor response to therapy and recurrence of tumors after completion of a treatment cycle.
F-18 FET is also distinctive from other amino acid PET agents because the generation of the drug can be centrally located and distributed by a radiopharmacy, whereas other amino acid-based PET agents must be manufactured by an on-site cyclotron—a huge particle accelerator that barrages particles with a target used to radiolabel the agent’s molecular compound. For F-18 FET, the amino acid tyrosine allows brain cells to signal each other. The greater logistical simplicity of F-18 FET is due to its radioactive half-life of approximately 110 minutes, whereas many other isotopes have a half-life of just approximately 20 minutes and must be administered for patient imaging almost instantly.
For this study, 15 young patients suspected of glioma cerebral cancer via MRI screening underwent PET imaging with the guidance of F-18 FET. This molecular imaging technique was found to be highly effective, about 87%, for identifying and differentiating brain lesions in children and young adults. The method was able to target 11 out of 12 brain lesions accurately as tumors and two out of three as a nontumorous growth. Repeated PET imaging (17 scans) for seven more pediatric patients provided significant information about cancer progression or remission. F-18 FET imaging was able to detect residual tumor and tumor progression in five out of six scans, and in 11 scans in which the tumor had been destroyed, for a 94% rate of accuracy.
“Results of the present study may improve the clinical management of this vulnerable patient population significantly, especially when a decision for further treatment is difficult or impossible on the basis of conventional MRI alone,” said Dr. Dunkl.
The US National Cancer Institute (Rockville, MD, USA) estimates that brain cancers are among the most common cancers in child populations. Incidence of pediatric brain tumors is approximately 3.2 cases per 100,000 people.
Related Links:
Institute of Neuroscience and Medicine, Forschungszentrum Jülich
Latest Nuclear Medicine News
- MR-Guided Cardiac Mapping System Enables Radiation-Free Procedures
- New Imaging Tool Sheds Light on Tumor Fat Metabolism
- PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
- Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
- Cancer “Flashlight” Shows Who Can Benefit from Targeted Treatments
- PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
- Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
- New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
- PET Tracer Enables Same-Day Imaging of Triple-Negative Breast and Urothelial Cancers
- New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
- Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
- New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
- Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
- Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
- Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
- Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
Channels
Radiography
view channel
Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery
Obstructive ventilatory disorder, marked by airflow limitation that reduces breathing efficiency, increases postoperative risk in patients with lung cancer. Although surgery offers the best chance of cure,... Read more
AI Detection Tool Improves Identification of Lobular Breast Cancer
Breast cancer screening seeks early detection, yet some subtypes remain difficult to visualize on mammography, risking delayed diagnosis. On average, 1 in 20 women worldwide will develop breast cancer,... Read moreMRI
view channel
AI Approach Could Shorten Advanced Brain MRI Scans by Up to 90%
Long acquisition times for advanced brain magnetic resonance imaging (MRI) can limit access, extend waiting lists, and disrupt clinical workflows. Reducing data requirements without sacrificing image fidelity... Read more
Cardiac MRI Measure Improves Risk Prediction in Tricuspid Regurgitation
Tricuspid regurgitation, in which blood flows back from the right ventricle into the right atrium, can lead to progressive right-sided heart failure. Clinicians need reliable ways to gauge severity and... Read moreUltrasound
view channelAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read moreGeneral/Advanced Imaging
view channelMultimodal AI Tool Combines CT and Health Records to Predict Heart Risk
Cardiovascular disease is a leading cause of death and an underrecognized risk for people treated for breast cancer. Cardiac complications can affect survival and quality of life. Clinicians need tools... Read more
AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer
Cervical cancer causes most of its global mortality in low- and middle-income countries, where radiotherapy capacity and specialist staff are limited. Treatment planning is labor-intensive and can delay... Read moreImaging IT
view channel
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
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
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







