PET Imaging Agent for Alzheimer's Disease Provides Automated Measurement of Glucose Metabolism
By MedImaging International staff writers Posted on 07 Oct 2009 |
A new diagnostic imaging advance allows the precise, automated measurement of glucose metabolism in the hippocampus, a brain structure that is crucial new memory formation and which is affected very early in Alzheimer's disease (AD).
The Alzheimer's Drug Discovery Foundation (ADDF; New York, NY, USA) is providing a grant of US$200,000 to Abiant Inc. (Deerfield, IL, USA) for the development of a highly accurate diagnostic imaging agent for AD. Abiant is focused on the application of neuroimaging to improve the diagnosis and treatment of neurologic and neuropsychiatric disorders.
Abiant's diagnostic approach combines key advances in the analysis of positron emission tomography (PET) images of the brain. The first of these was developed by Lisa Mosconi, Ph.D., Henry Rusinek, Ph.D., and Wai Tsui, M.S., from the New York University (NYU) School of Medicine's Center for Brain Health (New York, NY, USA), directed by Mony de Leon, Ed.D. Abiant is combining this with other major advances in statistical analysis tools that consolidate information from many regions in the brain into measurable patterns of disease progression. In studies using patients from academic centers worldwide, these approaches have been able to predict future decline, and to distinguish between types of dementia with very high accuracy.
"Abiant's diagnostic approach provides a potential path to clinician adoption and use of a powerful aid in early, accurate diagnosis that has not yet been achieved,” commented Howard Fillit, M.D., ADDF's executive director. "The grant will enable Abiant to further validate and translate its approaches toward a beneficial tool for the Alzheimer's disease community.”
"We are very pleased that ADDF is helping to fund our development efforts,” commented Dawn Matthews, chief executive officer of Abiant. "Not only will this help to accelerate our progress, but the ADDF will be a valuable partner in the guidance of our work toward broad clinical use.”
Dr. de Leon added, "PET imaging measurement of activity in the brain, and in particular the hippocampus, can provide a powerful biomarker for the early and accurate detection of Alzheimer's disease. We are very pleased to see this step toward the translation of our research advances to clinical use.”
ADDF's mission is to accelerate the discovery and development of drugs to prevent, treat, and cure Alzheimer's disease, related dementias, and cognitive aging. The organization awards grants to leading scientists conducting breakthrough drug-discovery research.
Abiant uses proprietary image analysis methods and software to provide sensitive biomarkers of drug effects and disease progression. This imaging information is intended to accelerate and improve accuracy of decision making in both disease diagnosis and drug development. Abiant has exclusively licensed technologies for accurate, automated measurement of information in PET images from NYU School of Medicine. The company conducts imaging studies on novel pharmaceutical compounds for drug development companies.
Related Links:
Alzheimer's Drug Discovery Foundation
Abiant
New York University School of Medicine
The Alzheimer's Drug Discovery Foundation (ADDF; New York, NY, USA) is providing a grant of US$200,000 to Abiant Inc. (Deerfield, IL, USA) for the development of a highly accurate diagnostic imaging agent for AD. Abiant is focused on the application of neuroimaging to improve the diagnosis and treatment of neurologic and neuropsychiatric disorders.
Abiant's diagnostic approach combines key advances in the analysis of positron emission tomography (PET) images of the brain. The first of these was developed by Lisa Mosconi, Ph.D., Henry Rusinek, Ph.D., and Wai Tsui, M.S., from the New York University (NYU) School of Medicine's Center for Brain Health (New York, NY, USA), directed by Mony de Leon, Ed.D. Abiant is combining this with other major advances in statistical analysis tools that consolidate information from many regions in the brain into measurable patterns of disease progression. In studies using patients from academic centers worldwide, these approaches have been able to predict future decline, and to distinguish between types of dementia with very high accuracy.
"Abiant's diagnostic approach provides a potential path to clinician adoption and use of a powerful aid in early, accurate diagnosis that has not yet been achieved,” commented Howard Fillit, M.D., ADDF's executive director. "The grant will enable Abiant to further validate and translate its approaches toward a beneficial tool for the Alzheimer's disease community.”
"We are very pleased that ADDF is helping to fund our development efforts,” commented Dawn Matthews, chief executive officer of Abiant. "Not only will this help to accelerate our progress, but the ADDF will be a valuable partner in the guidance of our work toward broad clinical use.”
Dr. de Leon added, "PET imaging measurement of activity in the brain, and in particular the hippocampus, can provide a powerful biomarker for the early and accurate detection of Alzheimer's disease. We are very pleased to see this step toward the translation of our research advances to clinical use.”
ADDF's mission is to accelerate the discovery and development of drugs to prevent, treat, and cure Alzheimer's disease, related dementias, and cognitive aging. The organization awards grants to leading scientists conducting breakthrough drug-discovery research.
Abiant uses proprietary image analysis methods and software to provide sensitive biomarkers of drug effects and disease progression. This imaging information is intended to accelerate and improve accuracy of decision making in both disease diagnosis and drug development. Abiant has exclusively licensed technologies for accurate, automated measurement of information in PET images from NYU School of Medicine. The company conducts imaging studies on novel pharmaceutical compounds for drug development companies.
Related Links:
Alzheimer's Drug Discovery Foundation
Abiant
New York University School of Medicine
Latest Nuclear Medicine News
- 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
- New Molecular Imaging Test to Improve Lung Cancer Diagnosis
- Novel PET Technique Visualizes Spinal Cord Injuries to Predict Recovery
- Next-Gen Tau Radiotracers Outperform FDA-Approved Imaging Agents in Detecting Alzheimer’s
- Breakthrough Method Detects Inflammation in Body Using PET Imaging
- Advanced Imaging Reveals Hidden Metastases in High-Risk Prostate Cancer Patients
- Combining Advanced Imaging Technologies Offers Breakthrough in Glioblastoma Treatment
- New Molecular Imaging Agent Accurately Identifies Crucial Cancer Biomarker
- New Scans Light Up Aggressive Tumors for Better Treatment
- AI Stroke Brain Scan Readings Twice as Accurate as Current Method
- AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer
- New Imaging Agent to Drive Step-Change for Brain Cancer Imaging
- Portable PET Scanner to Detect Earliest Stages of Alzheimer’s Disease
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreMRI
view channel
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
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... 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
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more