Question
Question Posted 05/09/13:
Dear All, may I ask you if ADNI has defined a FDG-PET cut-off value for evaluating the cerebral glucose metabolism as normal or abnormal? What variables have I look for in order to calculate/find the SUVr of specific ROI of interest? For example, is it correct to use the "HCI" variable in the "BAIPETNMRC.csv" file? What is the variable regarding the meta-ROI average using the UC Berkeley approach, instead? Thank you very much. Kind Regards, Cristina Muscio
Dear All, may I ask you if ADNI has defined a FDG-PET cut-off value for evaluating the cerebral glucose metabolism as normal or abnormal? What variables have I look for in order to calculate/find the SUVr of specific ROI of interest? For example, is it correct to use the "HCI" variable in the "BAIPETNMRC.csv" file? What is the variable regarding the meta-ROI average using the UC Berkeley approach, instead? Thank you very much. Kind Regards, Cristina Muscio
Response posted 05/12/13 by Susan Landau:
For information about using the HCI variable, I would suggest contacting Kewei Chen at Banner (kewei.chen@bannerhealth.com).
To generate a meta-ROI value for each subject at each timepoint, average together the 5 individual meta-ROI values from the UC Berkeley FDG Analysis file in the "Study Data" section. There is more information about the UC Berkeley Meta-ROIs in the UC Berkeley FDG Methods PDF in the "Study Data" section.
The cutoff our group has established for the composite meta-ROI (average of the 5 meta-ROI regions) is 1.21, based on an ROC analysis of ADs and normals (see Landau et al. Neurology 2010). Other cutoffs for these meta-ROIs have been established and evaluated in Jack et al. Ann Neurol 2013 and Knopman et al. Ann Neurol 2013.
You can also find comparison of these and other FDG-PET indices in Caroli et al. JNM 2012.
To generate a meta-ROI value for each subject at each timepoint, average together the 5 individual meta-ROI values from the UC Berkeley FDG Analysis file in the "Study Data" section. There is more information about the UC Berkeley Meta-ROIs in the UC Berkeley FDG Methods PDF in the "Study Data" section.
The cutoff our group has established for the composite meta-ROI (average of the 5 meta-ROI regions) is 1.21, based on an ROC analysis of ADs and normals (see Landau et al. Neurology 2010). Other cutoffs for these meta-ROIs have been established and evaluated in Jack et al. Ann Neurol 2013 and Knopman et al. Ann Neurol 2013.
You can also find comparison of these and other FDG-PET indices in Caroli et al. JNM 2012.
