The PALZ tool implements a streamlined Alzheimer’s Disease (AD) analysis. It is applicable to FDG brain PET scans of patients with clinical symptoms of AD. Data processing is fully automatic and results in an objective criterion of abnormality, substantiated by an error probability. The numerical outcome is complemented by a visual summary highlighting the significantly abnormal brain areas. These unique features make it easy to get an overview of disease severity and gain confidence for clinical decisions.

PALZ has been successfully validated several times with high sensitivity/specificity outcomes, such as 83%/78% (ADNI data), and 78%/94% (NEST-DD data).

“We have been using PALZ for more than 5 years already and we find it indeed a valuable tool. PALZ is extremely easy to use and can be run on FDG-PET images of any file format. PALZ has already helped neuroscience to move a step forward.”

Dr. Anna CaroliIRCCS Istituto di Ricerche Farmacologiche Mario Negri, Bergamo, Italy; IRCCS Fatebenefratelli, Brescia, Italy
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  • Based on the FDG scans acquired in a large multi-center trial a group of dementia experts lead by Prof. K. Herholz has developed a fully automated method for the discrimination between Alzheimer’s Dementia (AD) and normal controls [1].
  • The PMOD Alzheimer’s discrimination analysis tool (PALZ) is an exact and authorized implementation of this methodology. It is a standalone and automatic processing tool, and the analysis has been carefully validated with the study data.