A method for detecting early signs of Alzheimer's disease using amyloid PET imaging works as well as the previously used cerebrospinal fluid sample method. This is the conclusion of a new Lund University study -- the most thorough and extensive undertaken in the field so far.
The most commonly used tools for investigating early signs of Alzheimer's disease in Swedish public healthcare are various cognitive memory tests and computed tomography. For several years it has also been possible to carry out an analysis of a cerebrospinal fluid sample which increases the chances of early detection. So far, however, only patients in memory clinics have been offered the test.
Recently, a method known as amyloid PET was approved for clinical use in Sweden. A special substance which binds to a protein in the brain, β-amyloid, is administered to the patient. This amyloid is a marker for Alzheimer's changes, which are then mapped with PET imaging.
Opinions have long been divided as to whether cerebrospinal fluid samples or PET imaging are the best tools for detecting early-stage Alzheimer's disease.
"In the study, both the cerebrospinal fluid sample and the amyloid PET scans were able to identify approximately 90 per cent of the patients who would be diagnosed with Alzheimer's later on. Our conclusion is therefore that the two methods work equally well to achieve this aim. One can thus choose the method on the basis of cost, expertise or patient preference," says Sebastian Palmqvist, MD, PhD, at Lund University.
Both methods are also good at identifying which individuals are healthy and unlikely to develop Alzheimer's disease within the next ten years. However, when the diagnosis is reached without reference to a cerebrospinal fluid sample or amyloid PET imaging, its accuracy can drop to 60-70 per cent.
Late detection of Alzheimer's disease is not only a problem for today's healthcare, but also for the development of future treatments.
"Previous drug trials to evaluate new treatments for the presence of amyloid in Alzheimer's cases failed, partly because treatment began too late in the course of the disease. With two accurate tools for early diagnosis, we can identify suitable participants at an early stage of Alzheimer's disease. This will considerably increase the chances of being able to prove a positive effect for new drugs," concludes Oskar Hansson, associate professor and neurologist at Lund University.
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