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OpenTrials
Completed

NCT Number: NCT02107599

The Feasibility of Florbetapir Quantitation in Europe

This study will evaluate whether the addition of quantitation as an adjunct to visual interpretations significantly improves the accuracy of Amyvid scan interpretation.

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Key information

Sex eligibility

All sexes

Study type

Interventional

Phase

Phase 4

Primary location

Research Site

Leiden, 2316XC, Netherlands

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Readers have undergone Amyvid reader training
  • Readers have not more than minimal experience with quantitation of amyloid PET scans

Exclusion criteria

  • Readers have previously been trained to quantitate amyloid PET scans

Treatment and study plan

florbetapir (18F)

Drug

No Florbetapir (18F) will be administered in this study.

Other names: Florbetapir F 18, Amyvid, 18F-AV-45

Primary outcomes

  1. Change in Reader Accuracy After Application of Quantitation Software

    Time frame: Scan acquired 50-60 minutes post injection

    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.

Secondary outcomes

  1. Change in Scan Interpretation Reliability After Application of Quantitation Software

    Time frame: Scan acquired 50-60 minutes post injection

    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.

Sponsors and collaborators

Lead sponsor

Avid Radiopharmaceuticals

Industry

Registry information

Official study title

A Study to Evaluate the Improvement in Reader Accuracy When Using a Read Method That Incorporates Commercially Available Quantitative Analysis Software as an Adjunct to the Clinical Visual Interpretation of Amyvid Brain Scans

Important dates

Study start
2014
Primary completion
2014
Study completion
2014
First posted
Apr 8, 2014
Registry last updated
Jul 9, 2015

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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