Trial Outcomes & Findings for A Reader Study to Assess Accuracy and Reliability of Flortaucipir F 18 Positron Emission Tomography (PET) Scan Interpretation (NCT NCT03901092)
NCT ID: NCT03901092
Last Updated: 2020-09-09
Results Overview
Sensitivity and specificity of 5 independent readers' interpretations of ante-mortem 18F-AV-1451 PET imaging for detection of a pattern of 18F-AV-1451 neocortical uptake that corresponds to neurofibrillary tangles (NFT) Score of B3 (Hyman et al., 2012; Montine et al., 2012). NFT B scores range from B0 (no NFTs in the brain) to B3 (widespread NFTs in the brain). Sensitivity and specificity are percentages that can range from 0 to 100%. The hypothesis tested was that, of the 5 independent imaging physicians, at least 3 will have the lower bounds of 2-sided 95% CIs ≥50%, for both sensitivity and specificity.
COMPLETED
PHASE3
242 participants
baseline scan
2020-09-09
Participant Flow
Subjects were not recruited for this study. Study scans were selected from 2 previously completed imaging studies. Scans previously acquired from Study A16 (NCT02516046) and A05 (NCT02016560) were read by 5 independent, blinded to other study information.
Participant milestones
| Measure |
All Autopsy Cases
Cases that had a valid scan and came to autopsy in in study A16 and the A16 supplemental cohort
|
Non-Autopsy Cases
Mild cognitive impairment (MCI) and AD cases from the A05 confirmatory cohort
|
|---|---|---|
|
Overall Study
STARTED
|
83
|
159
|
|
Overall Study
COMPLETED
|
83
|
159
|
|
Overall Study
NOT COMPLETED
|
0
|
0
|
Reasons for withdrawal
Withdrawal data not reported
Baseline Characteristics
Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
Baseline characteristics by cohort
| Measure |
All Cases
n=242 Participants
All eligible subject scans from contributing studies
|
|---|---|
|
Age, Continuous
Study A16 Autopsy Cases
|
81.6 years
STANDARD_DEVIATION 9.91 • n=83 Participants • Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Age, Continuous
Study A05 Non-autopsy Cases
|
72.9 years
STANDARD_DEVIATION 9.64 • n=159 Participants • Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Sex: Female, Male
Study A16 Autopsy Cases · Female
|
41 Participants
n=83 Participants • Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Sex: Female, Male
Study A16 Autopsy Cases · Male
|
42 Participants
n=83 Participants • Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Sex: Female, Male
Study A05 Non-autopsy Cases · Female
|
74 Participants
n=159 Participants • Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Sex: Female, Male
Study A05 Non-autopsy Cases · Male
|
85 Participants
n=159 Participants • Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Ethnicity (NIH/OMB)
Study A16 Autopsy Cases · Hispanic or Latino
|
4 Participants
n=83 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Ethnicity (NIH/OMB)
Study A16 Autopsy Cases · Not Hispanic or Latino
|
79 Participants
n=83 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Ethnicity (NIH/OMB)
Study A16 Autopsy Cases · Unknown or Not Reported
|
0 Participants
n=83 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Ethnicity (NIH/OMB)
Study A05 Non-autopsy Cases · Hispanic or Latino
|
9 Participants
n=159 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Ethnicity (NIH/OMB)
Study A05 Non-autopsy Cases · Not Hispanic or Latino
|
150 Participants
n=159 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Ethnicity (NIH/OMB)
Study A05 Non-autopsy Cases · Unknown or Not Reported
|
0 Participants
n=159 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A16 Autopsy Cases · American Indian or Alaska Native
|
0 Participants
n=83 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A16 Autopsy Cases · Asian
|
1 Participants
n=83 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A16 Autopsy Cases · Native Hawaiian or Other Pacific Islander
|
0 Participants
n=83 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A16 Autopsy Cases · Black or African American
|
1 Participants
n=83 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A16 Autopsy Cases · White
|
81 Participants
n=83 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A16 Autopsy Cases · More than one race
|
0 Participants
n=83 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A16 Autopsy Cases · Unknown or Not Reported
|
0 Participants
n=83 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A05 Non-autopsy Cases · American Indian or Alaska Native
|
0 Participants
n=159 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A05 Non-autopsy Cases · Asian
|
2 Participants
n=159 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A05 Non-autopsy Cases · Native Hawaiian or Other Pacific Islander
|
0 Participants
n=159 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A05 Non-autopsy Cases · Black or African American
|
3 Participants
n=159 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A05 Non-autopsy Cases · White
|
154 Participants
n=159 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A05 Non-autopsy Cases · More than one race
|
0 Participants
n=159 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
|
Race (NIH/OMB)
Study A05 Non-autopsy Cases · Unknown or Not Reported
|
0 Participants
n=159 Participants • Measure Analysis Population Description: Baseline analysis includes Study A16 autopsy cases (n=83) and Study A05 Non-autopsy cases (n=159).
|
PRIMARY outcome
Timeframe: baseline scanPopulation: Analysis included all autopsy subjects with an evaluable flortaucipir PET scan interpretation (n=82). One autopsy subject scan was rated as unevaluable. n=47 were truth positive for NFTs. n=35 were truth negative for NFTs.
Sensitivity and specificity of 5 independent readers' interpretations of ante-mortem 18F-AV-1451 PET imaging for detection of a pattern of 18F-AV-1451 neocortical uptake that corresponds to neurofibrillary tangles (NFT) Score of B3 (Hyman et al., 2012; Montine et al., 2012). NFT B scores range from B0 (no NFTs in the brain) to B3 (widespread NFTs in the brain). Sensitivity and specificity are percentages that can range from 0 to 100%. The hypothesis tested was that, of the 5 independent imaging physicians, at least 3 will have the lower bounds of 2-sided 95% CIs ≥50%, for both sensitivity and specificity.
Outcome measures
| Measure |
Sensitivity of Flortaucipir vs Autopsy NFT Score
n=47 Participants
Subjects with a positive autopsy NFT score truth standard (NFT B3)
|
Specificity of Flortaucipir vs Autopsy NFT Score
n=35 Participants
Subjects with a negative autopsy NFT score truth standard (NFT B2 or lower)
|
|---|---|---|
|
Primary Objective 1 Analysis 1: Diagnostic Performance of Individual Readers (NFT Score)
Reader 1
|
91.5 percentage of cases correctly identified
Interval 80.07 to 96.64
|
77.1 percentage of cases correctly identified
Interval 60.98 to 87.93
|
|
Primary Objective 1 Analysis 1: Diagnostic Performance of Individual Readers (NFT Score)
Reader 2
|
89.4 percentage of cases correctly identified
Interval 77.41 to 95.37
|
91.4 percentage of cases correctly identified
Interval 77.62 to 97.04
|
|
Primary Objective 1 Analysis 1: Diagnostic Performance of Individual Readers (NFT Score)
Reader 3
|
87.2 percentage of cases correctly identified
Interval 74.83 to 94.02
|
85.7 percentage of cases correctly identified
Interval 70.62 to 93.74
|
|
Primary Objective 1 Analysis 1: Diagnostic Performance of Individual Readers (NFT Score)
Reader 4
|
93.6 percentage of cases correctly identified
Interval 82.84 to 97.81
|
62.9 percentage of cases correctly identified
Interval 46.34 to 76.83
|
|
Primary Objective 1 Analysis 1: Diagnostic Performance of Individual Readers (NFT Score)
Reader 5
|
89.4 percentage of cases correctly identified
Interval 77.41 to 95.37
|
77.1 percentage of cases correctly identified
Interval 60.98 to 87.93
|
PRIMARY outcome
Timeframe: baseline scanPopulation: Analysis included all autopsy subjects with an evaluable flortaucipir PET scan interpretation (n=82). One autopsy subject scan was rated as unevaluable. n=41 were truth positive. n=41 were truth negative.
Sensitivity and specificity of 5 independent readers' interpretations of ante-mortem 18F-AV-1451 PET imaging for detection of a pattern of 18F-AV-1451 neocortical uptake that corresponds to high levels of AD neuropathologic change (High ADNC) as defined by National Institute on Aging-Alzheimer's Association (NIA-AA) criteria (see Hyman et al. 2012). ADNC categories are None, Low, Intermediate and High, with High indicating the most severe level of AD-related pathology changes in the brain. The hypothesis tested was that, of the 5 independent imaging physicians, at least 3 will have the lower bounds of 2-sided 95% CIs ≥50%, for both sensitivity and specificity.
Outcome measures
| Measure |
Sensitivity of Flortaucipir vs Autopsy NFT Score
n=41 Participants
Subjects with a positive autopsy NFT score truth standard (NFT B3)
|
Specificity of Flortaucipir vs Autopsy NFT Score
n=41 Participants
Subjects with a negative autopsy NFT score truth standard (NFT B2 or lower)
|
|---|---|---|
|
Primary Objective 1 Analysis 2: Diagnostic Performance of Individual Readers (NIA-AA Autopsy Diagnosis)
Reader 5
|
95.1 percentage of cases correctly identified
Interval 83.86 to 98.65
|
73.2 percentage of cases correctly identified
Interval 58.07 to 84.31
|
|
Primary Objective 1 Analysis 2: Diagnostic Performance of Individual Readers (NIA-AA Autopsy Diagnosis)
Reader 1
|
95.1 percentage of cases correctly identified
Interval 83.86 to 98.65
|
70.7 percentage of cases correctly identified
Interval 55.52 to 82.39
|
|
Primary Objective 1 Analysis 2: Diagnostic Performance of Individual Readers (NIA-AA Autopsy Diagnosis)
Reader 2
|
95.1 percentage of cases correctly identified
Interval 83.86 to 98.65
|
85.4 percentage of cases correctly identified
Interval 71.56 to 93.12
|
|
Primary Objective 1 Analysis 2: Diagnostic Performance of Individual Readers (NIA-AA Autopsy Diagnosis)
Reader 3
|
95.1 percentage of cases correctly identified
Interval 83.86 to 98.65
|
82.9 percentage of cases correctly identified
Interval 68.74 to 91.47
|
|
Primary Objective 1 Analysis 2: Diagnostic Performance of Individual Readers (NIA-AA Autopsy Diagnosis)
Reader 4
|
97.6 percentage of cases correctly identified
Interval 87.4 to 99.57
|
58.5 percentage of cases correctly identified
Interval 43.37 to 72.24
|
PRIMARY outcome
Timeframe: baseline scanPopulation: Analysis included all subjects who had a valid flortaucipir PET scan in the autopsy and non-autopsy groups (n=241)
As measured by Fleiss' Kappa across all scans read. Fleiss' kappa is a statistical measure for assessing the reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items or classifying items. Fleiss' kappa can range from 0 to 1 with 1 indicating perfect agreement between the readers. Scan results binarized as positive AD pattern versus negative AD pattern. Results are displayed as percentage of agreement for individual reader pairs, computed as follows: number of images for which reader had the same interpretation divided by the total number of images evaluated, multiplied by 100%.
Outcome measures
| Measure |
Sensitivity of Flortaucipir vs Autopsy NFT Score
n=241 Participants
Subjects with a positive autopsy NFT score truth standard (NFT B3)
|
Specificity of Flortaucipir vs Autopsy NFT Score
Subjects with a negative autopsy NFT score truth standard (NFT B2 or lower)
|
|---|---|---|
|
Primary Objective 2: Inter-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 1 v Reader 2
|
95.0 percentage agreement of cases
|
—
|
|
Primary Objective 2: Inter-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 1 v Reader 3
|
93.4 percentage agreement of cases
|
—
|
|
Primary Objective 2: Inter-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 1 v Reader 4
|
94.6 percentage agreement of cases
|
—
|
|
Primary Objective 2: Inter-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 1 v Reader 5
|
97.1 percentage agreement of cases
|
—
|
|
Primary Objective 2: Inter-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 2 v Reader 3
|
97.1 percentage agreement of cases
|
—
|
|
Primary Objective 2: Inter-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 2 v Reader 4
|
91.3 percentage agreement of cases
|
—
|
|
Primary Objective 2: Inter-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 2 v Reader 5
|
94.6 percentage agreement of cases
|
—
|
|
Primary Objective 2: Inter-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 3 v Reader 4
|
91.3 percentage agreement of cases
|
—
|
|
Primary Objective 2: Inter-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 3 v Reader 5
|
93.8 percentage agreement of cases
|
—
|
|
Primary Objective 2: Inter-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 4 v Reader 5
|
95.0 percentage agreement of cases
|
—
|
SECONDARY outcome
Timeframe: baseline scanPopulation: Analysis included all autopsy subjects with an evaluable flortaucipir PET scan interpretation (n=82). One autopsy subject scan was rated as unevaluable. n=47 were truth positive for NFTs. n=35 were truth negative for NFTs.
Flortaucipir F 18 PET imaging will be classified by each reader as either neocortical uptake not consistent with AD (τAD-), neocortical uptake consistent with AD (τAD+), or neocortical uptake consistent with AD with uptake beyond the temporal/occipital regions (τAD++). NFT scoring is according to Hyman, et al 2012. Truth positive is a NFT B3 score. Truth negative is NFT \<B3 score.
Outcome measures
| Measure |
Sensitivity of Flortaucipir vs Autopsy NFT Score
n=47 Participants
Subjects with a positive autopsy NFT score truth standard (NFT B3)
|
Specificity of Flortaucipir vs Autopsy NFT Score
n=35 Participants
Subjects with a negative autopsy NFT score truth standard (NFT B2 or lower)
|
|---|---|---|
|
Secondary Objective 1 Analysis 1: Diagnostic Performance of τAD++ Flortaucipir PET Images to Detect B3 NFTs
Reader 1
|
87.2 percentage cases correctly identified
Interval 74.83 to 94.02
|
88.6 percentage cases correctly identified
Interval 74.05 to 95.46
|
|
Secondary Objective 1 Analysis 1: Diagnostic Performance of τAD++ Flortaucipir PET Images to Detect B3 NFTs
Reader 2
|
80.9 percentage cases correctly identified
Interval 67.46 to 89.58
|
100.0 percentage cases correctly identified
Interval 90.11 to 100.0
|
|
Secondary Objective 1 Analysis 1: Diagnostic Performance of τAD++ Flortaucipir PET Images to Detect B3 NFTs
Reader 3
|
76.6 percentage cases correctly identified
Interval 62.78 to 86.4
|
94.3 percentage cases correctly identified
Interval 81.39 to 98.42
|
|
Secondary Objective 1 Analysis 1: Diagnostic Performance of τAD++ Flortaucipir PET Images to Detect B3 NFTs
Reader 4
|
89.4 percentage cases correctly identified
Interval 77.41 to 95.37
|
82.9 percentage cases correctly identified
Interval 67.32 to 91.9
|
|
Secondary Objective 1 Analysis 1: Diagnostic Performance of τAD++ Flortaucipir PET Images to Detect B3 NFTs
Reader 5
|
83.0 percentage cases correctly identified
Interval 69.86 to 91.11
|
94.3 percentage cases correctly identified
Interval 81.39 to 98.42
|
SECONDARY outcome
Timeframe: baseline scanPopulation: Analysis included all autopsy subjects with an evaluable flortaucipir PET scan interpretation (n=82). One autopsy subject scan was rated as unevaluable. n=41 were truth positive. n=41 were truth negative.
Sensitivity and specificity of 5 independent readers' interpretations of ante-mortem 18F-AV-1451 PET imaging for detection of a pattern of 18F-AV-1451 neocortical uptake that corresponds to high levels of AD neuropathologic change (High ADNC) as defined by National Institute on Aging-Alzheimer's Association (NIA-AA) criteria (Hyman et al. 2012). Truth positive is a High ADNC score. Truth negative is No/Low/Intermediate ADNC score.
Outcome measures
| Measure |
Sensitivity of Flortaucipir vs Autopsy NFT Score
n=41 Participants
Subjects with a positive autopsy NFT score truth standard (NFT B3)
|
Specificity of Flortaucipir vs Autopsy NFT Score
n=41 Participants
Subjects with a negative autopsy NFT score truth standard (NFT B2 or lower)
|
|---|---|---|
|
Secondary Objective 1 Analysis 2: Diagnostic Performance of τAD++ Flortaucipir PET Images to Detect High ADNC
Reader 1
|
92.7 percentage of cases correctly identified
Interval 80.57 to 97.48
|
82.9 percentage of cases correctly identified
Interval 68.74 to 91.47
|
|
Secondary Objective 1 Analysis 2: Diagnostic Performance of τAD++ Flortaucipir PET Images to Detect High ADNC
Reader 2
|
85.4 percentage of cases correctly identified
Interval 71.56 to 93.12
|
92.7 percentage of cases correctly identified
Interval 80.57 to 97.48
|
|
Secondary Objective 1 Analysis 2: Diagnostic Performance of τAD++ Flortaucipir PET Images to Detect High ADNC
Reader 3
|
85.4 percentage of cases correctly identified
Interval 71.56 to 93.12
|
92.7 percentage of cases correctly identified
Interval 80.57 to 97.48
|
|
Secondary Objective 1 Analysis 2: Diagnostic Performance of τAD++ Flortaucipir PET Images to Detect High ADNC
Reader 4
|
92.7 percentage of cases correctly identified
Interval 80.57 to 97.48
|
75.6 percentage of cases correctly identified
Interval 60.66 to 86.17
|
|
Secondary Objective 1 Analysis 2: Diagnostic Performance of τAD++ Flortaucipir PET Images to Detect High ADNC
Reader 5
|
87.8 percentage of cases correctly identified
Interval 74.46 to 94.68
|
87.8 percentage of cases correctly identified
Interval 74.46 to 94.68
|
SECONDARY outcome
Timeframe: baseline scanPopulation: Analysis included all subjects who had a valid flortaucipir PET scan in the autopsy and non-autopsy groups (n=241)
Overall reader agreement as measured by Fleiss' Kappa statistic. Scan results binarized as τAD++ versus τAD+/τAD-. Results are displayed as percentage of agreement for individual reader pairs, computed as follows: number of images for which reader had the same interpretation divided by the total number of images evaluated, multiplied by 100%.
Outcome measures
| Measure |
Sensitivity of Flortaucipir vs Autopsy NFT Score
n=241 Participants
Subjects with a positive autopsy NFT score truth standard (NFT B3)
|
Specificity of Flortaucipir vs Autopsy NFT Score
Subjects with a negative autopsy NFT score truth standard (NFT B2 or lower)
|
|---|---|---|
|
Secondary Objective 2: Inter-reader Reliability of Reader Interpretation of τAD++ Flortaucipir PET Images
Reader 1 v Reader 2
|
92.5 percentage agreement of cases
|
—
|
|
Secondary Objective 2: Inter-reader Reliability of Reader Interpretation of τAD++ Flortaucipir PET Images
Reader 1 v Reader 3
|
90.0 percentage agreement of cases
|
—
|
|
Secondary Objective 2: Inter-reader Reliability of Reader Interpretation of τAD++ Flortaucipir PET Images
Reader 1 v Reader 4
|
91.3 percentage agreement of cases
|
—
|
|
Secondary Objective 2: Inter-reader Reliability of Reader Interpretation of τAD++ Flortaucipir PET Images
Reader 1 v Reader 5
|
95.0 percentage agreement of cases
|
—
|
|
Secondary Objective 2: Inter-reader Reliability of Reader Interpretation of τAD++ Flortaucipir PET Images
Reader 2 v Reader 3
|
91.7 percentage agreement of cases
|
—
|
|
Secondary Objective 2: Inter-reader Reliability of Reader Interpretation of τAD++ Flortaucipir PET Images
Reader 2 v Reader 4
|
90.5 percentage agreement of cases
|
—
|
|
Secondary Objective 2: Inter-reader Reliability of Reader Interpretation of τAD++ Flortaucipir PET Images
Reader 2 v Reader 5
|
94.2 percentage agreement of cases
|
—
|
|
Secondary Objective 2: Inter-reader Reliability of Reader Interpretation of τAD++ Flortaucipir PET Images
Reader 3 v Reader 4
|
88.8 percentage agreement of cases
|
—
|
|
Secondary Objective 2: Inter-reader Reliability of Reader Interpretation of τAD++ Flortaucipir PET Images
Reader 3 v Reader 5
|
92.5 percentage agreement of cases
|
—
|
|
Secondary Objective 2: Inter-reader Reliability of Reader Interpretation of τAD++ Flortaucipir PET Images
Reader 4 v Reader 5
|
92.9 percentage agreement of cases
|
—
|
SECONDARY outcome
Timeframe: baseline scanPopulation: Non-autopsy cases from Study A05
Reader agreement measured by Fleiss' Kappa across scans from non-autopsy cases from Study A05. Scan results binarized as positive for AD pattern versus negative for AD pattern. Results are displayed as percentage of agreement for individual reader pairs, computed as follows: number of images for which reader had the same interpretation divided by the total number of images evaluated, multiplied by 100%.
Outcome measures
| Measure |
Sensitivity of Flortaucipir vs Autopsy NFT Score
n=159 Participants
Subjects with a positive autopsy NFT score truth standard (NFT B3)
|
Specificity of Flortaucipir vs Autopsy NFT Score
Subjects with a negative autopsy NFT score truth standard (NFT B2 or lower)
|
|---|---|---|
|
Secondary Objective 3: Inter-reader Reliability of Flortaucipir PET Scan Interpretation in the Population of Intended Use
Reader 1 v Reader 2
|
97.5 percentage agreement of cases
|
—
|
|
Secondary Objective 3: Inter-reader Reliability of Flortaucipir PET Scan Interpretation in the Population of Intended Use
Reader 1 v Reader 3
|
93.1 percentage agreement of cases
|
—
|
|
Secondary Objective 3: Inter-reader Reliability of Flortaucipir PET Scan Interpretation in the Population of Intended Use
Reader 1 v Reader 4
|
95.6 percentage agreement of cases
|
—
|
|
Secondary Objective 3: Inter-reader Reliability of Flortaucipir PET Scan Interpretation in the Population of Intended Use
Reader 1 v Reader 5
|
97.5 percentage agreement of cases
|
—
|
|
Secondary Objective 3: Inter-reader Reliability of Flortaucipir PET Scan Interpretation in the Population of Intended Use
Reader 2 v Reader 3
|
93.1 percentage agreement of cases
|
—
|
|
Secondary Objective 3: Inter-reader Reliability of Flortaucipir PET Scan Interpretation in the Population of Intended Use
Reader 2 v Reader 4
|
94.3 percentage agreement of cases
|
—
|
|
Secondary Objective 3: Inter-reader Reliability of Flortaucipir PET Scan Interpretation in the Population of Intended Use
Reader 2 v Reader 5
|
96.2 percentage agreement of cases
|
—
|
|
Secondary Objective 3: Inter-reader Reliability of Flortaucipir PET Scan Interpretation in the Population of Intended Use
Reader 3 v Reader 4
|
93.7 percentage agreement of cases
|
—
|
|
Secondary Objective 3: Inter-reader Reliability of Flortaucipir PET Scan Interpretation in the Population of Intended Use
Reader 3 v Reader 5
|
93.1 percentage agreement of cases
|
—
|
|
Secondary Objective 3: Inter-reader Reliability of Flortaucipir PET Scan Interpretation in the Population of Intended Use
Reader 4 v Reader 5
|
96.9 percentage agreement of cases
|
—
|
SECONDARY outcome
Timeframe: baseline scanPopulation: 20 scans read twice to assess the intra-reader reliability
Cohen's Kappa will be calculated for each of 5 readers to assess the intra-reader reliability of flortaucipir F 18 PET scan visual interpretation. The statistic takes into account the possibility of the agreement occurring by chance. Cohen's kappa values range from 0 to 1 with 1 representing perfect agreement. Results are displayed as percentage of agreement within a reader, computed as follows: number of images for which reader had the same interpretation at initial and second read divided by the total number of images evaluated twice by a reader, multiplied by 100%.
Outcome measures
| Measure |
Sensitivity of Flortaucipir vs Autopsy NFT Score
n=20 Participants
Subjects with a positive autopsy NFT score truth standard (NFT B3)
|
Specificity of Flortaucipir vs Autopsy NFT Score
Subjects with a negative autopsy NFT score truth standard (NFT B2 or lower)
|
|---|---|---|
|
Secondary Objective 4: Intra-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 1
|
95.0 percentage agreement of cases
|
—
|
|
Secondary Objective 4: Intra-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 2
|
85.0 percentage agreement of cases
|
—
|
|
Secondary Objective 4: Intra-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 3
|
80.0 percentage agreement of cases
|
—
|
|
Secondary Objective 4: Intra-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 4
|
95.0 percentage agreement of cases
|
—
|
|
Secondary Objective 4: Intra-reader Reliability of Reader Interpretation of Flortaucipir-PET Imaging
Reader 5
|
90.0 percentage agreement of cases
|
—
|
Adverse Events
All Cases
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place
Restriction type: LTE60