Ajou University Hospital
Suwon, South Korea
NCT Number: NCT07417540
The goal of this study is to learn if medical image analysis software, Neurophet SCALE PET, can enhance readers' amyloid beta positivity performance in people with Alzheimer's Disease. The main question it aims to answer is:
Does the use of medical image analysis software assistance result in a statistically significant difference in readers' sensitivity and specificity for the classification of amyloid-β (Aβ) positivity?
Four readers will interpret amyloid PET images in two sessions (with and without software assistance), separated by a 4-week washout period, and will record Aβ positivity and diagnostic confidence using predefined rating scales.
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Notify Me50 year and older
All sexes
Interventional
Not applicable
Suwon, South Korea
Data Sources: De-identified data will be obtained from Ajou University Hospital and the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.
During each session, readers will rate Aβ positivity on a 5-point scale (1: Definitely negative, 2: Probably negative, 3: Equivocal, 4: Probably positive, 5: Definitely positive) and record their diagnostic confidence level on a 3-point scale (1: low confidence, 2: moderate confidence, 3: high confidence).
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Medical imaging datasets meeting all of the following criteria will be eligible for inclusion in this study.
Exclusion criteria
Medical imaging datasets meeting any of the following criteria will be excluded from the study.
Neurophet SCALE PET is an artificial intelligence-based medical image analysis software designed for the quantitative analysis of brain PET images. It provides automated quantification of amyloid-beta (Aβ) deposition using standardized uptake value ratios (SUVR) and the Centiloid scale. In this study, the software is used as a diagnostic support tool to assist clinicians in evaluating Aβ positivity.
Time frame: At the completion of two reading sessions (approximately 3 months)
Comparison of the sensitivity for amyloid-beta positivity between the software-assisted and unassisted reading conditions, based on the expert-established reference standard.
Time frame: At the completion of the reading study (approximately 3 months)
Comparison of the specificity for amyloid-beta negativity between the software-assisted and unassisted reading conditions, based on the expert-established reference standard.
Time frame: At the completion of the reading study (approximately 3 months)
The difference in diagnostic accuracy is evaluated using the Area Under the Receiver Operating Characteristic (ROC) Curve (AUC).
Time frame: At the completion of the reading study (approximately 3 months)
Comparison of the frequency of cases rated as "3: Equivocal" on the 5-point scale between the software-assisted and unassisted conditions.
Time frame: At the completion of the reading study (approximately 3 months)
Comparison of the readers' self-reported confidence levels when making a diagnosis
Time frame: At the completion of the reading study (approximately 3 months)
Evaluation of the consistency in amyloid-beta positivity ratings among the four readers
Time frame: At the completion of the reading study (approximately 3 months)
The number of cases where the 'Neurophet SCALE PET' software fails to complete the automated quantitative analysis or produces uninterpretable results due to technical errors, such as pre-processing failure or software crashes.
NEUROPHET
Industry
A Single-Center, Retrospective, Rater-Blinded, Crossover Study to Evaluate the Efficacy of the Medical Image Analysis Software 'SCALE PET' for Quantitative Analysis of Brain PET Images in Patients With Alzheimer's Disease
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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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