Philips and University Medical Center Hamburg-Eppendorf to test the first MRI/PET

PHILIPSThe University Medical Center Hamburg-Eppendorf (UKE) and Royal Philips Electronics have developed a computer aided diagnosis (CAD) system for neurodegenerative diseases to support clinicians in diagnosing the onset and type of disease as early as possible. The new diagnostic technique, which has already proven its accuracy using historical image data and known patient outcomes, is about to undergo clinical evaluation at UKE.

The CAD system is a software package that automatically interprets PET (Positron Emission Tomography) brain scans of patients suspected of having a neurodegenerative disease that leads to dementia, and combines them with MRI (Magnetic Resonance Imaging) scans for accurate differential diagnosis. The development of such a system will ultimately mean a better quality of life for patients by enabling earlier prescription of drugs that delay progression of the disease, and hence delay the worst effects of dementia. It will also provide pharmaceutical companies and clinicians with a valuable tool for the development and testing of new, potentially curative drugs for neurodegenerative diseases such as Alzheimer’s.

"In the not too distant future there is going to be much greater demand for the accurate early diagnosis of neurodegenerative disease and not everyone will have access to the clinical expertise of a university hospital to obtain it," says Dr. Ralph Buchert of the Department of Nuclear Medicine at UKE. "The availability of an automated system will help less experienced physicians to achieve the same high level of accuracy in their diagnoses."

Dementia is a debilitating condition that already affects more than 25 million people worldwide, the commonest form being Alzheimer's disease. As the demographics of world populations increasingly shift towards older age groups, dementia is widely expected to reach epidemic proportions unless effective treatments are found for it.

"Building on our expertise in multi-modal diagnostic imaging, we've combined functional and structural brain-scan information into a fully integrated and easy to use system for diagnosing the principal neurodegenerative diseases that cause dementia," says Dr. Lothar Spies, Head of the Digital Imaging Department at Philips Research. "Ultimately, it will enable early treatment and highly personalized therapies."

The software tool developed by Philips Research and UKE accurately overlays anatomical images of the brain obtained from MRI scans with PET scans that display brain activity - specifically the uptake of glucose that fuels brain activity. By using advanced image processing and computer learning techniques in combination with a database of reference brain-scans, the system then analyses the images automatically and displays anomalous brain patterns in a concise way. Based on these patterns, it then suggests a diagnosis. As a result, the system will help less experienced doctors to achieve the same diagnostic accuracy as highly trained specialists.

The clinical evaluation that is about to start will run the computer aided diagnostic system alongside UKE's existing dementia diagnosis procedures with the aim of fine-tuning the system's ability to detect and differentiate the three most common types of neurodegenerative disease - Alzheimer's Disease, Lewy-body Dementia and Frontotemporal Dementia.

About Royal Philips Electronics
Royal Philips Electronics of the Netherlands (NYSE: PHG, AEX: PHI) is a global leader in healthcare, lifestyle and technology, delivering products, services and solutions through the brand promise of "sense and simplicity". Headquartered in the Netherlands, Philips employs approximately 124,300 employees in more than 60 countries worldwide. With sales of EUR 27.0 billion in 2006, the company is a market leader in medical diagnostic imaging and patient monitoring systems, energy efficient lighting solutions, personal care and home appliances, as well as consumer electronics. News from Philips is located at www.philips.com/newscenter.

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...