This study will evaluate whether the addition of quantitation as an adjunct to visual interpretations significantly improves the accuracy of Amyvid scan interpretation.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
96
No Florbetapir (18F) will be administered in this study.
Research Site
Leiden, Netherlands
Change in Reader Accuracy After Application of Quantitation Software
Evaluate whether the use of quantitation software improves florbetapir (18F) scan interpretation by using the net reclassification index (NRI). The NRI is a prospective measure that quantifies the correctness of upward and downward reclassification or movement of predicted probabilities as a result of adding a new marker. NRI Values \>0 indicate an improvement in scan interpretation accuracy and values \<0 indicate a decline in scan interpretation accuracy after application of quantitation software. NRI = \[P(up,event)-P(down,event)\]-\[P(up,nonevent)-P(down,nonevent)\] Where P(up,event) = # events up/# events P(down,event) = # events down/# events P(up,nonevent) = # nonevents up/# nonevents P(down,nonevent) = # nonevents down/# nonevents and events: true positive case nonevents: true negative case up: scan change from negative to positive down: scan change from positive to negative Only the 46 scans with autopsy from A16 are used for this outcome measure.
Time frame: Scan acquired 50-60 minutes post injection
Change in Scan Interpretation Reliability After Application of Quantitation Software
Evaluate whether the use of quantitation software improves florbetapir (18F) scan interpretation by using the net reclassification index (NRI). The NRI is a prospective measure that quantifies the correctness of upward and downward reclassification or movement of predicted probabilities as a result of adding a new marker. NRI Values \>0 indicate an improvement in scan interpretation accuracy and values \<0 indicate a decline in scan interpretation accuracy after application of quantitation software. NRI = \[P(up,event)-P(down,event)\]-\[P(up,nonevent)-P(down,nonevent)\] Where P(up,event) = # events up/# events P(down,event) = # events down/# events P(up,nonevent) = # nonevents up/# nonevents P(down,nonevent) = # nonevents down/# nonevents and events: true positive case nonevents: true negative case up: scan change from negative to positive down: scan change from positive to negative Only the 46 scans with autopsy from A16 are used for this outcome measure.
Time frame: Scan acquired 50-60 minutes post injection
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