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Prototype automated expert system aids Alzheimer’s disease diagnosis

(PSYCHIATRIC TIMES) - A computer-based expert system can diagnose Alzheimer's disease with an accuracy comparable to experienced nuclear medicine physicians, according to a study presented at the Society of Nuclear Medicine meeting in June.

Nuclear medicine physicians often look for a typical pattern of impaired cerebral glucose metabolism in determining this diagnosis, according to coauthor Dr. Peter Bartenstein, chair of nuclear medicine at Gutenberg University Mainz in Germany.

Bartenstein and colleagues used 3D standard surface projections of stereotactically normalized brain PET scans and a data set of standardized regions of interest. These were projected in frontal, central, parietal, temporal, and occipital areas of the brain as the basis for an automated expert system.

Two expert readers established a set of rules for diagnosis by comparing the 3D surface projections with 20 normal controls. The rules were used to develop an automated system that would generate a straightforward AD or non-AD diagnosis.

The researchers tested the system on 150 PET data sets. They compared the automated system results with reads done by three experts who had been blinded to all other imaging or clinical data.

The concordance between the automated system and the nuclear medicine experts for all data sets had a kappa value of 0.76 to 0.83, with a kappa value of greater than 0.7 indicating satisfactory congruence.

The use of the system did not significantly increase the time needed for analysis, which took less than 15 minutes, according to Bartenstein.

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