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Single brain scan can diagnose Alzheimer’s, UK study finds

A single MRI scan of the brain could be enough to diagnose Alzheimer’s disease, according to new research by Imperial College London.
The research uses machine learning technology to look at structural features within the brain, including in regions not previously associated with Alzheimer’s.
The advantage of the technique is its simplicity and the fact that it can identify the disease at an early stage when it can be very difficult to diagnose.
Although there is no cure for Alzheimer’s disease, getting a diagnosis quickly at an early stage helps patients.
It allows them to access help and support, get treatment to manage their symptoms and plan for the future.
Being able to accurately identify patients at an early stage of the disease will also help researchers to understand the brain changes that trigger the disease, and support development and trials of new treatments.
The research was published in the Nature portfolio journal, Communications Medicine, and funded through the National Institute for Health and Care Research (NIHR) Imperial Biomedical Research Centre and the Medical Research Council.
Common form of dementia
Alzheimer’s disease is the most common form of dementia, affecting over half a million people in the UK.
Although most people with Alzheimer’s disease develop it after the age of 65, people under this age can develop it too.
The most frequent symptoms of dementia are memory loss and difficulties with thinking, problem solving and language.
Doctors currently use a raft of tests to diagnose Alzheimer’s disease, including memory and cognitive tests and brain scans.
The scans are used to check for protein deposits in the brain and shrinkage of the hippocampus, the area of the brain linked to memory. All of these tests can take several weeks, both to arrange and to process.
The new approach requires just one of these – a magnetic resonance imaging (MRI) brain scan taken on a standard 1.5 Tesla machine, which is commonly found in most hospitals.
Algorithm
The researchers adapted an algorithm developed for use in classifying cancer tumours, and applied it to the brain.
They divided the brain into 115 regions and allocated 660 different features, such as size, shape and texture, to assess each region.
They then trained the algorithm to identify where changes to these features could accurately predict the existence of Alzheimer’s disease.
Using data from the Alzheimer’s Disease Neuroimaging Initiative, the team tested their approach on brain scans from over 400 patients with early and later stage Alzheimer’s, healthy controls and patients with other neurological conditions, including frontotemporal dementia and Parkinson’s disease.
They also tested it with data from over 80 patients undergoing diagnostic tests for Alzheimer’s at Imperial College Healthcare NHS Trust.
The team found that in 98 per cent of cases, the MRI-based machine learning system alone could accurately predict whether the patient had Alzheimer’s disease or not.
It was also able to distinguish between early and late-stage Alzheimer’s with fairly high accuracy, in 79 per cent of patients.
‘An important step forward’
Professor Eric Aboagye, from Imperial’s Department of Surgery and Cancer, who led the research, said: “Currently no other simple and widely available methods can predict Alzheimer’s disease with this level of accuracy, so our research is an important step forward.
“Many patients who present with Alzheimer’s at memory clinics do also have other neurological conditions, but even within this group our system could pick out those patients who had Alzheimer’s from those who did not.
“Waiting for a diagnosis can be a horrible experience for patients and their families.
“If we could cut down the amount of time they have to wait, make diagnosis a simpler process, and reduce some of the uncertainty, that would help a great deal.
“Our new approach could also identify early-stage patients for clinical trials of new drug treatments or lifestyle changes, which is currently very hard to do.”
Future uses
The new system spotted changes in areas of the brain not previously associated with Alzheimer’s disease, including the cerebellum (the part of the brain that coordinates and regulates physical activity) and the ventral diencephalon (linked to the senses, sight and hearing).
This opens up potential new avenues for research into these areas and their links to Alzheimer’s disease.
Dr Paresh Malhotra, who is a consultant neurologist at Imperial College Healthcare NHS Trust and a researcher in Imperial’s Department of Brain Sciences, said: “Although neuroradiologists already interpret MRI scans to help diagnose Alzheimer’s, there are likely to be features of the scans that aren’t visible, even to specialists.
“Using an algorithm able to select texture and subtle structural features in the brain that are affected by Alzheimer’s could really enhance the information we can gain from standard imaging techniques.”
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Gut-friendly foods may damage heart, charity warns
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Diabetes patients face increased risk of undiagnosed heart failure

People with diabetes may have undiagnosed heart failure that could be detected by a simple screening blood test, research suggests.
The TARTAN-HF trial found that one in four patients with diabetes who had at least one other risk factor for heart failure had undiagnosed heart failure detected through screening with a blood test and ultrasound scanning of the heart.
Experts said the findings show the extent of unrecognised heart failure in people with diabetes, and how the condition can be detected using a widely available blood test called NT-proBNP, which measures how much strain the heart is under.
They suggest a heart failure screening programme for diabetics could improve diagnosis rates, lead to earlier treatment and potentially reduce the risk of hospitalisation and death.
The study, involving 700 patients, was led by the University of Glasgow in collaboration with AstraZeneca, Roche Diagnostics, Us2.ai, NHS Greater Glasgow and Clyde and NHS Lanarkshire.
Dr Kieran Docherty, clinical senior lecturer at the University of Glasgow’s School of Cardiovascular and Metabolic Health, said: “Our results from the landmark TARTAN-HF trial identified heart failure in a large proportion of people living with diabetes, emphasising the need for a heart failure screening strategy in this group of patients.
“We know that many of the symptoms and signs of heart failure are non-specific, and may go unrecognised as potentially being due to heart failure for a long time.
“The strategy used in our trial is simple and easy to implement in clinical practice, and will aid in the early identification of heart failure in people with diabetes, and facilitate the initiation of medications that we know improve outcomes in patients with heart failure.”
The study, which began more than three years ago, involved more than 700 people with diabetes from the two health board areas who had at least one other risk factor for heart failure.
They were randomly assigned either to receive heart failure screening or to continue with their usual care.
Researchers found screening uncovered a large number of previously unrecognised cases of heart failure. Around one in four, or 24.9 per cent, of those screened were found to have the condition within six months, compared with 1 per cent in the group continuing their usual care.
The study, involving patients with type 1 and type 2 diabetes, found almost all of the participants found to have heart failure had preserved ejection fraction, which can be difficult to detect without dedicated testing.
The findings of the TARTAN-HF trial were presented at the American College of Cardiology conference taking place from 28 to 30 March in New Orleans in the US.
Dr Edward Piper, medical director at AstraZeneca UK, said: “Delayed diagnosis and treatment of heart failure in people with type 2 diabetes contributes to poor long-term outcomes. TARTAN-HF demonstrates that targeted, risk-based screening can identify previously undiagnosed heart failure in approximately one in four high-risk patients with diabetes, enabling earlier intervention with guideline-directed therapy.”
Dr Christian Simon, head of global medical affairs at Roche Diagnostics, said: “We are proud to have supported the landmark TARTAN-HF trial. These findings demonstrate the transformative power of early, accessible diagnostics like the NT-proBNP blood test.
“By identifying unrecognised heart failure in people with diabetes, we enable clinicians to initiate appropriate treatments sooner, ultimately improving patient outcomes and lives.”
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UK government announces £6.3m fund to boost men’s health

The UK has launched a £6.3m men’s health fund to back local projects aimed at helping men and boys live longer, healthier lives.
The Men’s Health Community Fund is a partnership between the Department of Health and Social Care, Movember and People’s Health Trust.
The government is contributing £3m, while the two charities are more than doubling that to take the total to £6.3m.
Grants will support community projects reaching underserved men and boys aged 16 and over, particularly in the most disadvantaged areas and at key points in their lives such as becoming a father, losing a job or retiring.
Projects could include support for new fathers, activities for men facing loneliness and social isolation, services to help young men engage with the health system, and support for men in work, out of work and moving into retirement.
The programme will bring together voluntary, community and social enterprise organisations to test new ways of reaching men who are least likely to use traditional health services.
An evaluation funded through the National Institute for Health and Care Research will assess what works and help inform future policy and delivery.
Health and social care secretary Wes Streeting said: “Too many men across the country are living shorter, less healthy lives, particularly those in our most disadvantaged communities.
“This new partnership will help men get the support they need in the places they feel most comfortable, their communities, among people they trust.
“By working with expert charities and local organisations, we can reach the men who are too often missed by traditional services and help them take better care of their mental and physical health.”
“It is a key step in delivering our first ever Men’s Health Strategy and driving forward our ambition to halve the gap in healthy life expectancy between the richest and poorest areas.”
The Men’s Health Strategy sets out plans to tackle the physical and mental health challenges men and boys face.
Men can be less likely to seek help and more likely to suffer in silence, while higher rates of smoking, drinking, gambling and drug use are damaging men’s health and affecting families, workplaces and communities.
The government is also investing £3.6m over the next three years in suicide prevention projects for middle-aged men in local communities across areas of England where men are most at risk, many of which are also among the most deprived. Suicide is one of the biggest killers of men under 50, and three-quarters of all suicides are men.
The projects will aim to break down barriers middle-aged men face in seeking support, including stigma around asking for help and a lack of awareness of what is available and how to access it.
They will be co-designed with experts and men with lived experience of mental health crises and suicidal thoughts.








