The study uses machine learning technology to look at the features of the system in the brain, including in areas not related to Alzheimer’s. The advantage of the technique is its simplicity and the fact that it can detect the disease at an early stage when it can be difficult to diagnose.
Although there is no cure for Alzheimer’s disease, getting a quick diagnosis at an early stage helps patients. It allows them to get help and support, get treatment to manage their symptoms and plan ahead. Being able to identify patients correctly at the onset of the disease will help researchers understand the disease the brain is changing which causes the disease, and supports the continuous testing of new treatments.
The study was published in the journal Nature Portfolio, Communication Medicine.
Alzheimer’s disease is the most common form of dementia, affecting more than half of the population in the UK. Although most people with Alzheimer’s disease develop after the age of 65, people under that age can develop it. The most common symptoms of dementia are memory loss and problems with thinking, problem solving and language.
Doctors are currently using diagnostic tests to diagnose Alzheimer’s disease, including memory and comprehension tests same to you brain scan. Scans are used to check the amount of protein in it brain and degeneration of the hippocampus, a brain region associated with the brain. All of these tests can take several weeks, both for planning and implementation.
The new approach requires one of these — a maganadisu rawa MRI scan performed on a standard Tesla 1.5 engine, which is commonly found in most hospitals.
The researchers developed an algorithm designed to be used to classify tumor tumors, and applied it to the brain. They divided computers into 115 regions and 660 different categories, such as size, format and text, to assess each area. They then trained the algorithm to find out where changes to these features could accurately predict the presence of Alzheimer’s disease.
Using data from the Center for Alzheimer’s Disease Neuroimaging, the team tested their system on brain research from over 400 patients with early and later Alzheimer’s level, healthy care and patients with certain neurological conditions, including including subsequent dementia and Parkinson’s disease. They also tested it with data from over 80 nursing patients research experiments for Alzheimer’s at the Imperial College NHS Trust.
They found that in 98% of cases, the MRI machine learning system alone can accurately predict whether a patient has Alzheimer’s disease or not. It also managed to differentiate between early onset and late Alzheimer’s with long-term accuracy, in 79 percent of patients.
Professor Eric Aboagye, from the Imperial Cancer Surgery Department, who led the study, said: “There are currently no easy and effective ways to predict Alzheimer’s disease with this level of accuracy, so our study It is an important step forward. they do not have.
“Waiting for a diagnosis can be a frustrating experience for patients and their families. If we can reduce the amount of time they have to wait, make diagnosis easier, and reduce some uncertainty, this will greatly help. to find my first patient for a clinical trial of a new treatment or lifestyle change, which is currently very difficult to do. “
The new system detects changes in areas not previously associated with Alzheimer’s disease, including the cerebellum (the part of the brain that regulates and regulates body function) and the ventral diencephalon (which is associated with attention, vision and hearing). This opens the door to new research methods in these areas and their association with Alzheimer’s disease.
Dr Paresh Malhotra, a consultant on coronary heart disease at the Imperial College NHS Trust and a researcher at the Imperial Psychiatric Unit, said: “Although psychiatrists have already translated the MRI scan to help In diagnosing Alzheimer’s disease, there is a possibility of scanning features that cannot be seen, even by experts. can be obtained from standard photography techniques. ”
A predictive model using mesoscopic structures of the living brain to detect Alzheimer’s disease, Communication Medicine (2022).
Studying at Imperial College London
hintA single brain scan can detect Alzheimer’s disease (2022, June 20) back 20 June 2022 from https://medicalxpress.com/news/2022-06-brain-scan-alzheimer-disease.html
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Single brain scan can diagnose Alzheimer’s disease Source link Single brain scan can diagnose Alzheimer’s disease