New MRI Imaging Technique Can Diagnose Early Stage Parkinson's
By MedImaging International staff writers Posted on 18 Jul 2022 |

Parkinson's is a progressive and debilitating disease of the brain that eventually compromises patients' ability to walk and even to talk. Its diagnosis is complex, and in the early stages – impossible. The usual method of visualizing brain structure utilizes a technique most of us are familiar with, called MRI. However, it is not sensitive enough to reveal the biological changes that take place in the brain of Parkinson patients, and at present is primarily only used to eliminate other possible diagnoses. Now, researchers have realized that the cellular changes in Parkinson's could possibly be revealed by adapting a related technique, known as quantitative MRI (qMRI).
The method has enabled researchers at The Hebrew University of Jerusalem (Jerusalem, Israel) to look at microstructures within the part of the deep brain known as the striatum – an organ which is known to deteriorate during the progress of Parkinson's disease. Using a novel method of analysis developed by the team, biological changes in the cellar tissue of the striatum were clearly revealed. Moreover, they were able to demonstrate that these changes were associated with the early stages of Parkinson's and patients’ movement dysfunction.
qMRI achieves its sensitivity by taking several MRI images using different excitation energies – rather like taking the same photograph in different colors of lighting. The researchers were able to use their qMRI analysis to reveal changes in the tissue structure within distinct regions of the striatum. The structural sensitivity of these measurements could only have been previously achieved in laboratories examining the brain cells of patients post mortem. This is not an ideal situation for detecting early disease or monitoring the efficacy of a drug.
The new information will facilitate early diagnosis of the disease and provide "markers" for monitoring the efficacy of future drug therapies. The researchers now plan to extend the technique to investigate microstructural changes in other regions of the brain. Furthermore, the team is now developing qMRI into a tool that can be used in a clinical setting and could be ready about 3-5 years down the line. The researchers further suggest that this type of analysis will enable identification of subgroups within the population suffering from Parkinson’s disease – some of whom may respond differently to some drugs than others.
"When you don't have measurements, you don't know what is normal and what is abnormal brain structure, and what is changing during the progress of the disease," explained Professor Aviv Mezer who led the team of researchers. “What we have discovered is the tip of the iceberg.” Ultimately, he sees this analysis “leading to personalized treatment, allowing future discoveries of drug with each person receiving the most appropriate drug.”
Related Links:
The Hebrew University of Jerusalem
Latest MRI News
- AI-Assisted Model Enhances MRI Heart Scans
- AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
- New MRI Technique Reveals Hidden Heart Issues
- Shorter MRI Exam Effectively Detects Cancer in Dense Breasts
- MRI to Replace Painful Spinal Tap for Faster MS Diagnosis
- MRI Scans Can Identify Cardiovascular Disease Ten Years in Advance
- Simple Brain Scan Diagnoses Parkinson's Disease Years Before It Becomes Untreatable
- Cutting-Edge MRI Technology to Revolutionize Diagnosis of Common Heart Problem
- New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
- AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
Channels
Radiography
view channel
AI Hybrid Strategy Improves Mammogram Interpretation
Breast cancer screening programs rely heavily on radiologists interpreting mammograms, a process that is time-intensive and subject to errors. While artificial intelligence (AI) models have shown strong... Read more
AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
Breast cancer remains one of the most common cancers among women, with about one in eight receiving a diagnosis in their lifetime. Despite widespread use of mammography, about 34% of patients in the U.... Read moreUltrasound
view channel
Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
Meningitis, an inflammation of the membranes surrounding the brain and spinal cord, can be fatal in infants if not diagnosed and treated early. Even when treated, it may leave lasting damage, such as cognitive... Read more
Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
Ultrasound imaging is a vital diagnostic technique used to visualize internal organs and tissues in real time and to guide procedures such as biopsies and injections. When paired with photoacoustic imaging... Read moreNuclear Medicine
view channel
New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read moreGeneral/Advanced Imaging
view channel
Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities
Maintaining accuracy and safety in interventional radiology is a constant challenge, especially as complex procedures require both high precision and efficiency. Traditional setups often involve multiple... Read more
Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
Strokes caused by blood clots or other mechanisms that obstruct blood flow in the brain account for about 85% of all strokes. Determining where a clot originates is crucial, since it guides safe and effective... Read more
Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans
Liver cancer is the sixth most common cancer worldwide and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is critical for diagnosis and therapy, but manual methods by radiologists... Read more
New CT-Based Indicator Helps Predict Life-Threatening Postpartum Bleeding Cases
Postpartum hemorrhage (PPH) is a leading cause of maternal death worldwide. While most cases can be controlled with medications and basic interventions, some become life-threatening and require invasive treatments.... 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