| 41. |
- Lilja, Johan, et al.
(författare)
-
Spatial normalization of 18F-Flutemetamol PET images using an adaptive principal-component template
- 2019
-
Ingår i: Journal of Nuclear Medicine. - : Society of Nuclear Medicine. - 0161-5505 .- 1535-5667 .- 2159-662X. ; 60:2, s. 285-291
-
Tidskriftsartikel (refereegranskat)abstract
- Though currently approved for visual assessment only, there is evidence to suggest that quantification of amyloid-β (Aβ) PET images may reduce interreader variability and aid in the monitoring of treatment effects in clinical trials. Quantification typically involves a regional atlas in standard space, requiring PET images to be spatially normalized. Different uptake patterns in Aβ-positive and Aβ-negative subjects, however, make spatial normalization challenging. In this study, we proposed a method to spatially normalize 18F-flutemetamol images using a synthetic template based on principal-component images to overcome these challenges.Methods: 18F-flutemetamol PET and corresponding MR images from a phase II trial (n = 70), including subjects ranging from Aβ-negative to Aβ-positive, were spatially normalized to standard space using an MR-driven registration method (SPM12). 18F-flutemetamol images were then intensity-normalized using the pons as a reference region. Principal-component images were calculated from the intensity-normalized images. A linear combination of the first 2 principal-component images was then used to model a synthetic template spanning the whole range from Aβ-negative to Aβ-positive. The synthetic template was then incorporated into our registration method, by which the optimal template was calculated as part of the registration process, providing a PET-only–driven registration method. Evaluation of the method was done in 2 steps. First, coregistered gray matter masks generated using SPM12 were spatially normalized using the PET- and MR-driven methods, respectively. The spatially normalized gray matter masks were then visually inspected and quantified. Second, to quantitatively compare the 2 registration methods, additional data from an ongoing study were spatially normalized using both methods, with correlation analysis done on the resulting cortical SUV ratios.Results: All scans were successfully spatially normalized using the proposed method with no manual adjustments performed. Both visual and quantitative comparison between the PET- and MR-driven methods showed high agreement in cortical regions. 18F-flutemetamol quantification showed strong agreement between the SUV ratios for the PET- and MR-driven methods (R2 = 0.996; pons reference region).Conclusion: The principal-component template registration method allows for robust and accurate registration of 18F-flutemetamol images to a standardized template space, without the need for an MR image.
|
|
| 42. |
|
|
| 43. |
- Mattsson-Carlgren, Niklas, et al.
(författare)
-
The implications of different approaches to define AT(N) in Alzheimer disease
- 2020
-
Ingår i: Neurology. - 1526-632X. ; 94:21, s. 2233-2244
-
Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: To compare different β-amyloid (Aβ), tau, and neurodegeneration (AT[N]) variants within the Swedish BioFINDER studies. METHODS: A total of 490 participants were classified into AT(N) groups. These include 53 cognitively unimpaired (CU) and 48 cognitively impaired (CI) participants (14 mild cognitive impairment [MCI] and 34 Alzheimer disease [AD] dementia) from BioFINDER-1 and 389 participants from BioFINDER-2 (245 CU and 144 CI [138 MCI and 6 AD dementia]). Biomarkers for A were CSF Aβ42 and amyloid-PET ([18F]flutemetamol); for T, CSF phosphorylated tau (p-tau) and tau PET ([18F]flortaucipir); and for (N), hippocampal volume, temporal cortical thickness, and CSF neurofilament light (NfL). Binarization of biomarkers was achieved using cutoffs defined in other cohorts. The relationship between different AT(N) combinations and cognitive trajectories (longitudinal Mini-Mental State Examination scores) was examined using linear mixed modeling and coefficient of variation. RESULTS: Among CU participants, A-T-(N)- or A+T-(N)- variants were most common. However, more T+ cases were seen using p-tau than tau PET. Among CI participants, A+T+(N)+ was more common; however, more (N)+ cases were seen for MRI measures relative to CSF NfL. Tau PET best predicted longitudinal cognitive decline in CI and p-tau in CU participants. Among CI participants, continuous T (especially tau PET) and (N) measures improved the prediction of cognitive decline compared to binary measures. CONCLUSIONS: Our findings show that different AT(N) variants are not interchangeable, and that optimal variants differ by clinical stage. In some cases, dichotomizing biomarkers may result in loss of important prognostic information.
|
|
| 44. |
- Oliveira Hauer, Kevin, et al.
(författare)
-
Performance of [18F]RO948 PET, MRI and CSF neurofilament light in the differential diagnosis of progressive supranuclear palsy
- 2023
-
Ingår i: Parkinsonism and Related Disorders. - : Elsevier BV. - 1353-8020. ; 106
-
Tidskriftsartikel (refereegranskat)abstract
- Introduction: The diagnosis of progressive supranuclear palsy (PSP) is often challenging since PSP may clinically resemble other neurodegenerative disorders. Recently, the tau PET tracer [18F]RO948, a potential new biomarker for PSP, was developed. The aim of this study was to determine the ability of three different biomarkers, including [18F]RO948 PET, to distinguish PSP patients from healthy controls and from patients with α-synucleinopathies. Methods: Patients with PSP (n = 23), α-synucleinopathies (n = 47) and healthy controls (n = 61) were included from the BioFINDER-2 study. [18F]RO948 standardized uptake value ratios (SUVR), magnetic resonance imaging midbrain/pons ratio, and cerebrospinal fluid neurofilament light (NfL) levels were compared between diagnostic groups individually and in combination. Results: [18F]RO948 PET SUVR in the globus pallidus, NfL, and midbrain/pons area ratios were all able to differentiate PSP patients from controls and from patients with α-synucleinopathies ([18F]RO948 [mean ± SD]: controls 1.24 ± 0.22; PSP 1.47 ± 0.4; PD 1.18 ± 0.2; DLB 1.25 ± 0.24, p < 0.05), (NfL pg/mL [mean ± SD]: controls 1055 ± 569; PSP 2197 ± 1010; PD 1038 ± 416; DLB 1548 ± 687, p < 0.001) and (midbrain/pons ratio [mean ± SD]: controls 0.46 ± 0.07; PSP 0.34 ± 0.09; PD 0.43 ± 0.06; DLB 0.40 ± 0.07, p < 0.01). Receiver operating characteristic (ROC) analyses indicated that combining the three biomarkers resulted in the highest area under the ROC values (0.94 [0.88–1.00]) for separating controls from PSP and (0.92 [0.85–0.99]) for separating PSP from α-synucleinopathies. Conclusions: All studied biomarkers could individually separate PSP from controls and α-synucleinopathies patients at a group level. The optimal prediction models included NfL and midbrain/pons ratio for separating controls from PSP and all three biomarkers for separating PSP from α-synucleinopathies.
|
|
| 45. |
- Ossenkoppele, Rik, et al.
(författare)
-
Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease : A Head-to-Head Comparison against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging
- 2021
-
Ingår i: JAMA Neurology. - : American Medical Association (AMA). - 2168-6149. ; 78:8, s. 961-971
-
Tidskriftsartikel (refereegranskat)abstract
- Importance: Tau positron emission tomography (PET) tracers have proven useful for the differential diagnosis of dementia, but their utility for predicting cognitive change is unclear. Objective: To examine the prognostic accuracy of baseline fluorine 18 (18F)-flortaucipir and [18F]RO948 (tau) PET in individuals across the Alzheimer disease (AD) clinical spectrum and to perform a head-to-head comparison against established magnetic resonance imaging (MRI) and amyloid PET markers. Design, Setting, and Participants: This prognostic study collected data from 8 cohorts in South Korea, Sweden, and the US from June 1, 2014, to February 28, 2021, with a mean (SD) follow-up of 1.9 (0.8) years. A total of 1431 participants were recruited from memory clinics, clinical trials, or cohort studies; 673 were cognitively unimpaired (CU group; 253 [37.6%] positive for amyloid-β [Aβ]), 443 had mild cognitive impairment (MCI group; 271 [61.2%] positive for Aβ), and 315 had a clinical diagnosis of AD dementia (315 [100%] positive for Aβ). Exposures: [18F]Flortaucipir PET in the discovery cohort (n = 1135) or [18F]RO948 PET in the replication cohort (n = 296), T1-weighted MRI (n = 1431), and amyloid PET (n = 1329) at baseline and repeated Mini-Mental State Examination (MMSE) evaluation. Main Outcomes and Measures: Baseline [18F]flortaucipir/[18F]RO948 PET retention within a temporal region of interest, MRI-based AD-signature cortical thickness, and amyloid PET Centiloids were used to predict changes in MMSE using linear mixed-effects models adjusted for age, sex, education, and cohort. Mediation/interaction analyses tested whether associations between baseline tau PET and cognitive change were mediated by baseline MRI measures and whether age, sex, and APOE genotype modified these associations. Results: Among 1431 participants, the mean (SD) age was 71.2 (8.8) years; 751 (52.5%) were male. Findings for [18F]flortaucipir PET predicted longitudinal changes in MMSE, and effect sizes were stronger than for AD-signature cortical thickness and amyloid PET across all participants (R2, 0.35 [tau PET] vs 0.24 [MRI] vs 0.17 [amyloid PET]; P <.001, bootstrapped for difference) in the Aβ-positive MCI group (R2, 0.25 [tau PET] vs 0.15 [MRI] vs 0.07 [amyloid PET]; P <.001, bootstrapped for difference) and in the Aβ-positive CU group (R2, 0.16 [tau PET] vs 0.08 [MRI] vs 0.08 [amyloid PET]; P <.001, bootstrapped for difference). These findings were replicated in the [18F]RO948 PET cohort. MRI mediated the association between [18F]flortaucipir PET and MMSE in the groups with AD dementia (33.4% [95% CI, 15.5%-60.0%] of the total effect) and Aβ-positive MCI (13.6% [95% CI, 0.0%-28.0%] of the total effect), but not the Aβ-positive CU group (3.7% [95% CI, -17.5% to 39.0%]; P =.71). Age (t = -2.28; P =.02), but not sex (t = 0.92; P =.36) or APOE genotype (t = 1.06; P =.29) modified the association between baseline [18F]flortaucipir PET and cognitive change, such that older individuals showed faster cognitive decline at similar tau PET levels. Conclusions and Relevance: The findings of this prognostic study suggest that tau PET is a promising tool for predicting cognitive change that is superior to amyloid PET and MRI and may support the prognostic process in preclinical and prodromal stages of AD.
|
|
| 46. |
- Ossenkoppele, Rik, et al.
(författare)
-
Tau PET correlates with different Alzheimer’s disease-related features compared to CSF and plasma p-tau biomarkers
- 2021
-
Ingår i: EMBO Molecular Medicine. - : EMBO. - 1757-4676 .- 1757-4684. ; 13:8
-
Tidskriftsartikel (refereegranskat)abstract
- PET, CSF and plasma biomarkers of tau pathology may be differentially associated with Alzheimer's disease (AD)-related demographic, cognitive, genetic and neuroimaging markers. We examined 771 participants with normal cognition, mild cognitive impairment or dementia from BioFINDER-2 (n = 400) and ADNI (n = 371). All had tau-PET ([18F]RO948 in BioFINDER-2, [18F]flortaucipir in ADNI) and CSF p-tau181 biomarkers available. Plasma p-tau181 and plasma/CSF p-tau217 were available in BioFINDER-2 only. Concordance between PET, CSF and plasma tau biomarkers ranged between 66 and 95%. Across the whole group, ridge regression models showed that increased CSF and plasma p-tau181 and p-tau217 levels were independently of tau PET associated with higher age, and APOEɛ4-carriership and Aβ-positivity, while increased tau-PET signal in the temporal cortex was associated with worse cognitive performance and reduced cortical thickness. We conclude that biofluid and neuroimaging markers of tau pathology convey partly independent information, with CSF and plasma p-tau181 and p-tau217 levels being more tightly linked with early markers of AD (especially Aβ-pathology), while tau-PET shows the strongest associations with cognitive and neurodegenerative markers of disease progression.
|
|
| 47. |
- Ossenkoppele, Rik, et al.
(författare)
-
The impact of demographic, clinical, genetic, and imaging variables on tau PET status
- 2021
-
Ingår i: European Journal of Nuclear Medicine and Molecular Imaging. - : Springer Science and Business Media LLC. - 1619-7070 .- 1619-7089. ; 48:7, s. 2245-2258
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose: A substantial proportion of amyloid-β (Aβ)+ patients with clinically diagnosed Alzheimer’s disease (AD) dementia and mild cognitive impairment (MCI) are tau PET–negative, while some clinically diagnosed non-AD neurodegenerative disorder (non-AD) patients or cognitively unimpaired (CU) subjects are tau PET–positive. We investigated which demographic, clinical, genetic, and imaging variables contributed to tau PET status. Methods: We included 2338 participants (430 Aβ+ AD dementia, 381 Aβ+ MCI, 370 non-AD, and 1157 CU) who underwent [18F]flortaucipir (n = 1944) or [18F]RO948 (n = 719) PET. Tau PET positivity was determined in the entorhinal cortex, temporal meta-ROI, and Braak V-VI regions using previously established cutoffs. We performed bivariate binary logistic regression models with tau PET status (positive/negative) as dependent variable and age, sex, APOEε4, Aβ status (only in CU and non-AD analyses), MMSE, global white matter hyperintensities (WMH), and AD-signature cortical thickness as predictors. Additionally, we performed multivariable binary logistic regression models to account for all other predictors in the same model. Results: Tau PET positivity in the temporal meta-ROI was 88.6% for AD dementia, 46.5% for MCI, 9.5% for non-AD, and 6.1% for CU. Among Aβ+ participants with AD dementia and MCI, lower age, MMSE score, and AD-signature cortical thickness showed the strongest associations with tau PET positivity. In non-AD and CU participants, presence of Aβ was the strongest predictor of a positive tau PET scan. Conclusion: We identified several demographic, clinical, and neurobiological factors that are important to explain the variance in tau PET retention observed across the AD pathological continuum, non-AD neurodegenerative disorders, and cognitively unimpaired persons.
|
|
| 48. |
- Palmqvist, Sebastian, et al.
(författare)
-
Discriminative Accuracy of Plasma Phospho-tau217 for Alzheimer Disease vs Other Neurodegenerative Disorders
- 2020
-
Ingår i: Jama-Journal of the American Medical Association. - : American Medical Association (AMA). - 0098-7484. ; 324:8, s. 772-781
-
Tidskriftsartikel (refereegranskat)abstract
- Key PointsQuestionWhat is the discriminative accuracy of plasma phospho-tau217 (P-tau217) for differentiating Alzheimer disease from other neurodegenerative disorders? FindingsIn this cross-sectional study that included 1402 participants from 3 selected cohorts, plasma P-tau217 discriminated Alzheimer disease from other neurodegenerative diseases (area under the receiver operating characteristic curve of 0.89 in a neuropathologically defined cohort and 0.96 in a clinically defined cohort), with performance that was significantly better than established Alzheimer disease plasma- and MRI-based biomarkers but not significantly different from key CSF- or PET-based biomarkers. MeaningAlthough plasma P-tau217 was able to discriminate Alzheimer disease from other neurodegenerative diseases, further research is needed to validate the findings in unselected and diverse populations, optimize the assay, and determine its potential role in clinical care. ImportanceThere are limitations in current diagnostic testing approaches for Alzheimer disease (AD). ObjectiveTo examine plasma tau phosphorylated at threonine 217 (P-tau217) as a diagnostic biomarker for AD. Design, Setting, and ParticipantsThree cross-sectional cohorts: an Arizona-based neuropathology cohort (cohort 1), including 34 participants with AD and 47 without AD (dates of enrollment, May 2007-January 2019); the Swedish BioFINDER-2 cohort (cohort 2), including cognitively unimpaired participants (n=301) and clinically diagnosed patients with mild cognitive impairment (MCI) (n=178), AD dementia (n=121), and other neurodegenerative diseases (n=99) (April 2017-September 2019); and a Colombian autosomal-dominant AD kindred (cohort 3), including 365 PSEN1 E280A mutation carriers and 257 mutation noncarriers (December 2013-February 2017). ExposuresPlasma P-tau217. Main Outcomes and MeasuresPrimary outcome was the discriminative accuracy of plasma P-tau217 for AD (clinical or neuropathological diagnosis). Secondary outcome was the association with tau pathology (determined using neuropathology or positron emission tomography [PET]). ResultsMean age was 83.5 (SD, 8.5) years in cohort 1, 69.1 (SD, 10.3) years in cohort 2, and 35.8 (SD, 10.7) years in cohort 3; 38% were women in cohort 1, 51% in cohort 2, and 57% in cohort 3. In cohort 1, antemortem plasma P-tau217 differentiated neuropathologically defined AD from non-AD (area under the curve [AUC], 0.89 [95% CI, 0.81-0.97]) with significantly higher accuracy than plasma P-tau181 and neurofilament light chain (NfL) (AUC range, 0.50-0.72; P<.05). The discriminative accuracy of plasma P-tau217 in cohort 2 for clinical AD dementia vs other neurodegenerative diseases (AUC, 0.96 [95% CI, 0.93-0.98]) was significantly higher than plasma P-tau181, plasma NfL, and MRI measures (AUC range, 0.50-0.81; P<.001) but not significantly different compared with cerebrospinal fluid (CSF) P-tau217, CSF P-tau181, and tau-PET (AUC range, 0.90-0.99; P>.15). In cohort 3, plasma P-tau217 levels were significantly greater among PSEN1 mutation carriers, compared with noncarriers, from approximately 25 years and older, which is 20 years prior to estimated onset of MCI among mutation carriers. Plasma P-tau217 levels correlated with tau tangles in participants with (Spearman rho =0.64; P<.001), but not without (Spearman =0.15; P=.33), beta -amyloid plaques in cohort 1. In cohort 2, plasma P-tau217 discriminated abnormal vs normal tau-PET scans (AUC, 0.93 [95% CI, 0.91-0.96]) with significantly higher accuracy than plasma P-tau181, plasma NfL, CSF P-tau181, CSF A beta 42:A beta 40 ratio, and MRI measures (AUC range, 0.67-0.90; P<.05), but its performance was not significantly different compared with CSF P-tau217 (AUC, 0.96; P=.22). Conclusions and RelevanceAmong 1402 participants from 3 selected cohorts, plasma P-tau217 discriminated AD from other neurodegenerative diseases, with significantly higher accuracy than established plasma- and MRI-based biomarkers, and its performance was not significantly different from key CSF- or PET-based measures. Further research is needed to optimize the assay, validate the findings in unselected and diverse populations, and determine its potential role in clinical care. This cross-sectional study compares the accuracy of plasma tau phosphorylated at threonine 217 (P-tau217) levels vs other plasma-, MRI-, CSF-, and PET-based markers for distinguishing Alzheimer from other neurodegenerative diseases in 3 cohorts in Arizona, Sweden, and Columbia with or at risk for dementia.
|
|
| 49. |
- Pascoal, Tharick A., et al.
(författare)
-
Discriminative accuracy of the A/T/N scheme to identify cognitive impairment due to Alzheimer's disease
- 2023
-
Ingår i: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. - : Wiley. - 2352-8729. ; 15:1
-
Tidskriftsartikel (refereegranskat)abstract
- Introduction: The optimal combination of amyloid-β/tau/neurodegeneration (A/T/N) biomarker profiles for the diagnosis of Alzheimer's disease (AD) dementia is unclear. Methods: We examined the discriminative accuracy of A/T/N combinations assessed with neuroimaging biomarkers for the differentiation of AD from cognitively unimpaired (CU) elderly and non-AD neurodegenerative diseases in the TRIAD, BioFINDER-1 and BioFINDER-2 cohorts (total n = 832) using area under the receiver operating characteristic curves (AUC). Results: For the diagnosis of AD dementia (vs. CU elderly), T biomarkers performed as well as the complete A/T/N system (AUC range: 0.90–0.99). A and T biomarkers in isolation performed as well as the complete A/T/N system in differentiating AD dementia from non-AD neurodegenerative diseases (AUC range; A biomarker: 0.84–1; T biomarker: 0.83–1). Discussion: In diagnostic settings, the use of A or T neuroimaging biomarkers alone can reduce patient burden and medical costs compared with using their combination, without significantly compromising accuracy.
|
|
| 50. |
- Pawlik, Daria, et al.
(författare)
-
Compensating for choroid plexus based off-target signal in the hippocampus using 18F-flortaucipir PET
- 2020
-
Ingår i: NeuroImage. - : Elsevier BV. - 1053-8119. ; 221
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose: The hippocampus is affected by tau pathology early in Alzheimer's disease (AD) development. Accurate quantification of hippocampal tau signal using the tau-PET tracer 18F-flortaucipir is complicated, however, by off-target binding in the adjacent choroid plexus. We here present a new method for compensating for this off-target choroid plexus signal. Methods: As off-target binding in the choroid plexus is known to be higher using 18F-flortaucipir compared to 18F-RO948, we created a binary hippocampal mask in template space where 18F-flortaucipir signal was higher than 18F-RO948, using data from 30 patients that underwent both 18F-flortaucipir and 18F-RO948 PET. This mask, presumably representing hippocampal voxels affected by off-target binding from the choroid plexus, was then converted to native space and applied as an exclusion mask to 145 patients across the AD-spectrum scanned with 18F-flortaucipir. As an alternative approach exclusion masks were generated by expanding the choroid plexus ROI in native space. Results were analysed both without and with partial volume error correction (non-PVEc/PVEc). Results: Unmasked hippocampal standardized uptake value ratios (SUVR) were significantly correlated to choroid plexus SUVRs using both non-PVEc (p < 0.001, r = 0.28) and PVEc data (p < 0.05, r = 0.18). After applying the mask, however, these correlations disappeared. The diagnostic accuracy in separating cognitively impaired (CI) from cognitively unimpaired (CU) subjects improved after masking, from an AUC of 0.792 (95% C.I.,0.715–0.869) to 0.837 (95% C.I.,0.768–0.906) for non-PVEc data (p < 0.001), and from 0.798 (95% C.I.,0.722–0.873) to 0.834 (95% C.I.,0.766–0.903) for PVEc data (p < 0.001). The correlations to memory improved significantly for MMSE for unmasked vs. masked data both without (r = −0.440 vs. r = −0.499, p < 0.001) and with (r = −0.454 vs. r = −0.503, p < 0.001) PVEc. Similar results were found using the ADAS-Cog Delayed Word Recall test. Conclusion: Choroid plexus off-target binding interferes with the estimation of true hippocampal retention using 18F-flortaucipir PET. Using a mask to correct for this off-target signal, we improved the diagnostic accuracy of 18F-flortaucipir in the hippocampus and the correlation between 18F-flortaucipir hippocampal SUVR and cognitive measures.
|
|
