Neuroimaging Offers Early Detection of Parkinson's Disease
By MedImaging International staff writers Posted on 18 Oct 2010 |
Rapid eye movement (REM) sleep disturbances were found by investigators in 2006 to constitute an early marker of neurodegenerative diseases. A new study published September 15, 2010, in the early online publication of the journal the Lancet Neurology by the same researchers applies neuroimaging techniques to identify patients with REM sleep disturbances who will develop neurodegenerative disorders over the short term.
The first author of both article is Dr. Alex Iranzo, a physician in the neurology department of the Hospital Clinic in Barcelona (Spain), who is also an investigator of the Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS; Barcelona, Spain), and a member of the Multidisciplinary Sleep Disturbances Unit. The study has been carried out in the setting of the Neurodegenerative Diseases CIBER (Centro de Investigación Biomédica en Red, Enfermedades Neurodegenerativas [CIBERNED]; Seville, Spain), and has received the collaboration of the neurology department of the Innsbruck Medical University (Austria).
One of the challenges of modern medicine is the diagnosis of diseases before they develop clinical manifestations such as tremor or dementia. Neurodegenerative disorders begin in latent periods during which the cells suffer degeneration but clinical manifestations are not yet observed. In this context, the degenerative process advances, and neuropathological changes affect the nervous system. The new data contributed by the investigators of the Hospital Clínic-IDIBAPS make it possible to identify the disease at preclinical stages in patients with REM sleep disturbances.
In earlier research of this same team, 45% of the patients studied had developed a neurodegenerative disorder five years after diagnosis of the sleep disturbance. All of them were over 60 years of age and presented REM sleep disturbances in the form of nightmares in which they called out, cried, or showed body movements. The new study goes beyond this point and presents the data relating to the tracking of 43 new patients during two years and a half after undergoing the neuroimaging tests. The 123I-fluoropropyl (FP)-carbomethoxy-iodophenyl-tropan (CIT) single photon emission computed tomography (SPECT) imaging technique makes it possible to identify striatal dopamine dysfunctions typical of brain substantia nigra pathology, which can degenerate towards Parkinson's disease. Transcranial ultrasound identifies structural alterations of the substantia nigra such as increased iron presence, before Parkinsonism gives rise to clinical manifestations.
The study described how 19% of the patients had developed a neurodegenerative disorder in the two and a half years following the neuroimaging tests. Of these subjects, five developed Parkinson's disease, two developed Lewy body dementia, and one patient developed multisystemic atrophy. All of them belonged to the group of 27 patients (62.8%) showing low FP-CIT uptake at SPECT and/or hyperechogenicity in the substantia nigra in transcranial ultrasound. In other words, none of them had yielded normal results in the neuroimaging tests. In turn, the patients with normal neuroimaging findings revealed no neurologic disorders after 2.5 years of follow-up.
The investigators concluded that the neuroimaging methods make it possible to identify patients with REM sleep disturbances who are at high risk of early development of a neurodegenerative disorder such as Parkinson's disease. This will help improve tracking the progression of these diseases and test drugs that might modify their course and initiate early therapy, once the clinical diagnosis is established.
Related Links:
Institut d'Investigacions Biomèdiques August Pi i Sunyer
Innsbruck Medical University
Centro de Investigación Biomédica en Red, Enfermedades Neurodegenerative
The first author of both article is Dr. Alex Iranzo, a physician in the neurology department of the Hospital Clinic in Barcelona (Spain), who is also an investigator of the Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS; Barcelona, Spain), and a member of the Multidisciplinary Sleep Disturbances Unit. The study has been carried out in the setting of the Neurodegenerative Diseases CIBER (Centro de Investigación Biomédica en Red, Enfermedades Neurodegenerativas [CIBERNED]; Seville, Spain), and has received the collaboration of the neurology department of the Innsbruck Medical University (Austria).
One of the challenges of modern medicine is the diagnosis of diseases before they develop clinical manifestations such as tremor or dementia. Neurodegenerative disorders begin in latent periods during which the cells suffer degeneration but clinical manifestations are not yet observed. In this context, the degenerative process advances, and neuropathological changes affect the nervous system. The new data contributed by the investigators of the Hospital Clínic-IDIBAPS make it possible to identify the disease at preclinical stages in patients with REM sleep disturbances.
In earlier research of this same team, 45% of the patients studied had developed a neurodegenerative disorder five years after diagnosis of the sleep disturbance. All of them were over 60 years of age and presented REM sleep disturbances in the form of nightmares in which they called out, cried, or showed body movements. The new study goes beyond this point and presents the data relating to the tracking of 43 new patients during two years and a half after undergoing the neuroimaging tests. The 123I-fluoropropyl (FP)-carbomethoxy-iodophenyl-tropan (CIT) single photon emission computed tomography (SPECT) imaging technique makes it possible to identify striatal dopamine dysfunctions typical of brain substantia nigra pathology, which can degenerate towards Parkinson's disease. Transcranial ultrasound identifies structural alterations of the substantia nigra such as increased iron presence, before Parkinsonism gives rise to clinical manifestations.
The study described how 19% of the patients had developed a neurodegenerative disorder in the two and a half years following the neuroimaging tests. Of these subjects, five developed Parkinson's disease, two developed Lewy body dementia, and one patient developed multisystemic atrophy. All of them belonged to the group of 27 patients (62.8%) showing low FP-CIT uptake at SPECT and/or hyperechogenicity in the substantia nigra in transcranial ultrasound. In other words, none of them had yielded normal results in the neuroimaging tests. In turn, the patients with normal neuroimaging findings revealed no neurologic disorders after 2.5 years of follow-up.
The investigators concluded that the neuroimaging methods make it possible to identify patients with REM sleep disturbances who are at high risk of early development of a neurodegenerative disorder such as Parkinson's disease. This will help improve tracking the progression of these diseases and test drugs that might modify their course and initiate early therapy, once the clinical diagnosis is established.
Related Links:
Institut d'Investigacions Biomèdiques August Pi i Sunyer
Innsbruck Medical University
Centro de Investigación Biomédica en Red, Enfermedades Neurodegenerative
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
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
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 moreMRI
view channel
Cutting-Edge MRI Technology to Revolutionize Diagnosis of Common Heart Problem
Aortic stenosis is a common and potentially life-threatening heart condition. It occurs when the aortic valve, which regulates blood flow from the heart to the rest of the body, becomes stiff and narrow.... Read more
New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
Heart disease remains one of the leading causes of death worldwide. Individuals with conditions such as diabetes or obesity often experience accelerated aging of their hearts, sometimes by decades.... Read more
AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
Many pediatric gliomas are treatable with surgery alone, but relapses can be catastrophic. Predicting which patients are at risk for recurrence remains challenging, leading to frequent follow-ups with... Read more
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 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-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
Radioligand therapy, a form of targeted nuclear medicine, has recently gained attention for its potential in treating specific types of tumors. However, one of the potential side effects of this therapy... Read more
CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
Medical imaging, such as computed tomography (CT) scans, plays a crucial role in oncology, offering essential data for cancer detection, treatment planning, and monitoring of response to therapies.... 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