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.
1. Study Overview This study is a single-center, retrospective, rater-blinded, crossover reader study. The primary objective is to evaluate the efficacy of 'Neurophet SCALE PET', a medical image analysis software, in assisting clinicians with the quantitative analysis of amyloid-beta (Aβ) positivity on brain PET scans. The study will compare the performance of readers when they use the software (SW-assisted) versus when they do not use it (unassisted). 2. Data Collection and Reference Standard The investigators will retrospectively collect medical data from a total of 194 patients (97 Aβ-positive and 97 Aβ-negative cases). Data Sources: De-identified data will be obtained from Ajou University Hospital and the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. 3. Study Procedures (Reader Study) The reader study consists of two main reading sessions separated by a 4-week washout period to minimize memory bias and order effects. Four readers will be randomly assigned to two groups (Reader Group 1 and Reader Group 2). * Session 1: Reader Group 1 will evaluate Case Group A with SW assistance and Case Group B without assistance. Reader Group 2 will evaluate Case Group B with SW assistance and Case Group A without assistance. * Washout Period: A 4-week interval will be implemented between sessions. * Session 2: The conditions will be swapped following a crossover design. Readers will re-evaluate the same cases under the opposite condition (assisted vs. unassisted) compared to Session 1. 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). 4. Statistical Analysis The efficacy of the software will be assessed by comparing the diagnostic performance between the SW-assisted and unassisted conditions. * Primary outcomes: Differences in readers' sensitivity and specificity for Aβ positivity classification. * Secondary Outcomes: Differences in diagnostic accuracy (AUC), the number of cases rated as "equivocal," rater confidence levels, and inter-rater agreement.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
190
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.
Ajou University Hospital
Suwon, South Korea
Difference in readers' sensitivity in SW-assisted vs. unassisted classification of Aβ positivity
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 two reading sessions (approximately 3 months)
Difference in readers' specificity in SW-assisted vs. unassisted classification of Aβ positivity
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)
Difference in readers' diagnostic accuracy in SW-assisted vs. unassisted classification of Aβ positivity
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)
Difference in number of cases rated as equivocal in SW-assisted vs. unassisted classification of Aβ positivity
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)
Difference in confidence level of readers in SW-assisted vs. unassisted classification of Aβ positivity
Comparison of the readers' self-reported confidence levels when making a diagnosis
Time frame: At the completion of the reading study (approximately 3 months)
Inter-rater Agreement
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)
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