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AI technique can boost brain scans to predict Alzheimer early

IANS  |  New York 

(AI) can help improve the ability of techniques to predict early, according to a study.

Researchers from the University of in San Francisco (UCSF) trained a on a special technology known as 18-F-fluorodeoxyglucose positron emission (FDG-PET).

They included more than 2,100 FDG-PET brain images from 1,002 patients and on an independent set of 40 exams from 40 patients.

The results showed that the algorithm was able to teach itself metabolic patterns that corresponded to

It also achieved 100 per cent sensitivity at detecting the an average of more than six years prior to the final diagnosis.

"We were very pleased with the algorithm's performance. It was able to predict every single case that advanced to disease," said Jae Ho Sohn, from

"If FDG-PET with AI can predict this early, beta-amyloid plaque and tau protein PET imaging can possibly add another dimension of important predictive power," he added, in the paper detailed in the journal Radiology.

While early diagnosis of Alzheimer's is extremely important for the treatment, it has proven to be challenging.

Although the cause behind the remains unconfimed yet, various research has linked the disease process to changes in metabolism, as shown by glucose uptake in certain regions of the brain.

These changes can be difficult to recognise.

"If we diagnose Alzheimer's disease when all the symptoms have manifested, the brain volume loss is so significant that it's too late to intervene," Sohn said.

"If we can detect it earlier, that's an opportunity for investigators to potentially find better ways to slow down or even halt the disease process," he noted.

Sohn explained that the algorithm could be a useful tool to complement the work of radiologists -- especially in conjunction with other biochemical and imaging tests -- in providing an opportunity for early therapeutic intervention.

--IANS

rt/mr

(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

First Published: Wed, November 07 2018. 17:34 IST
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