A universal neocortical mask for Centiloid quantification
Abstract INTRODUCTION The Centiloid (CL) project was developed to harmonize the quantification of amyloid beta (Aβ) positron emission tomography (PET) scans to a unified scale. The CL neocortical mask was defined using 11C Pittsburgh compound B (PiB), overlooking potential differences in regional di...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-07-01
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| Series: | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/dad2.12457 |
| _version_ | 1797672423369211904 |
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| author | Pierrick Bourgeat Vincent Doré Christopher C. Rowe Tammie Benzinger Duygu Tosun Manu S. Goyal Pamela LaMontagne Liang Jin Michael W. Weiner Colin L. Masters Jurgen Fripp Victor L. Villemagne for the Alzheimer's Disease Neuroimaging Initiative OASIS3, and the AIBL research group |
| author_facet | Pierrick Bourgeat Vincent Doré Christopher C. Rowe Tammie Benzinger Duygu Tosun Manu S. Goyal Pamela LaMontagne Liang Jin Michael W. Weiner Colin L. Masters Jurgen Fripp Victor L. Villemagne for the Alzheimer's Disease Neuroimaging Initiative OASIS3, and the AIBL research group |
| author_sort | Pierrick Bourgeat |
| collection | DOAJ |
| description | Abstract INTRODUCTION The Centiloid (CL) project was developed to harmonize the quantification of amyloid beta (Aβ) positron emission tomography (PET) scans to a unified scale. The CL neocortical mask was defined using 11C Pittsburgh compound B (PiB), overlooking potential differences in regional distribution among Aβ tracers. We created a universal mask using an independent dataset of five Aβ tracers, and investigated its impact on inter‐tracer agreement, tracer variability, and group separation. METHODS Using data from the Alzheimer's Dementia Onset and Progression in International Cohorts (ADOPIC) study (Australian Imaging Biomarkers and Lifestyle + Alzheimer's Disease Neuroimaging Initiative + Open Access Series of Imaging Studies), age‐matched pairs of mild Alzheimer's disease (AD) and healthy controls (HC) were selected: 18F‐florbetapir (N = 147 pairs), 18F‐florbetaben (N = 22), 18F‐flutemetamol (N = 10), 18F‐NAV (N = 42), 11C‐PiB (N = 63). The images were spatially and standardized uptake value ratio normalized. For each tracer, the mean AD–HC difference image was thresholded to maximize the overlap with the standard neocortical mask. The universal mask was defined as the intersection of all five masks. It was evaluated on the Global Alzheimer's Association Interactive Network (GAAIN) head‐to‐head datasets in terms of inter‐tracer agreement and variance in the young controls (YC) and on the ADOPIC dataset comparing separation between HC/AD and HC/mild cognitive impairment (MCI). RESULTS In the GAAIN dataset, the universal mask led to a small reduction in the variance of the YC, and a small increase in the inter‐tracer agreement. In the ADOPIC dataset, it led to a better separation between HC/AD and HC/MCI at baseline. DISCUSSION The universal CL mask led to an increase in inter‐tracer agreement and group separation. Those increases were, however, very small, and do not provide sufficient benefits to support departing from the existing standard CL mask, which is suitable for the quantification of all Aβ tracers. HIGHLIGHTS This study built an amyloid universal mask using a matched cohort for the five most commonly used amyloid positron emission tomography tracers. There was a high overlap between each tracer‐specific mask. Differences in quantification and group separation between the standard and universal mask were small. The existing standard Centiloid mask is suitable for the quantification of all amyloid beta tracers. |
| first_indexed | 2024-03-11T21:29:50Z |
| format | Article |
| id | doaj.art-5776b4bca24f437f806ac7c5e2774184 |
| institution | Directory Open Access Journal |
| issn | 2352-8729 |
| language | English |
| last_indexed | 2024-03-11T21:29:50Z |
| publishDate | 2023-07-01 |
| publisher | Wiley |
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| series | Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring |
| spelling | doaj.art-5776b4bca24f437f806ac7c5e27741842023-09-27T11:20:33ZengWileyAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring2352-87292023-07-01153n/an/a10.1002/dad2.12457A universal neocortical mask for Centiloid quantificationPierrick Bourgeat0Vincent Doré1Christopher C. Rowe2Tammie Benzinger3Duygu Tosun4Manu S. Goyal5Pamela LaMontagne6Liang Jin7Michael W. Weiner8Colin L. Masters9Jurgen Fripp10Victor L. Villemagne11for the Alzheimer's Disease Neuroimaging InitiativeOASIS3, and the AIBL research groupAustralian eHealth Research Centre CSIRO Health and Biosecurity BrisbaneQueenslandAustraliaAustralian eHealth Research Centre CSIRO Health and Biosecurity BrisbaneQueenslandAustraliaDepartment of Molecular Imaging & Therapy Austin Health MelbourneVictoriaAustraliaMallinckrodt Institute of Radiology Washington University School of Medicine St. LouisMissouriUSASan Francisco Veterans Affairs Medical Center San FranciscoCaliforniaUSAMallinckrodt Institute of Radiology Washington University School of Medicine St. LouisMissouriUSAMallinckrodt Institute of Radiology Washington University School of Medicine St. LouisMissouriUSAThe Florey Institute of Neuroscience and Mental Health University of Melbourne, Parkville MelbourneVictoriaAustraliaSan Francisco Veterans Affairs Medical Center San FranciscoCaliforniaUSAThe Florey Institute of Neuroscience and Mental Health University of Melbourne, Parkville MelbourneVictoriaAustraliaAustralian eHealth Research Centre CSIRO Health and Biosecurity BrisbaneQueenslandAustraliaDepartment of Molecular Imaging & Therapy Austin Health MelbourneVictoriaAustraliaAbstract INTRODUCTION The Centiloid (CL) project was developed to harmonize the quantification of amyloid beta (Aβ) positron emission tomography (PET) scans to a unified scale. The CL neocortical mask was defined using 11C Pittsburgh compound B (PiB), overlooking potential differences in regional distribution among Aβ tracers. We created a universal mask using an independent dataset of five Aβ tracers, and investigated its impact on inter‐tracer agreement, tracer variability, and group separation. METHODS Using data from the Alzheimer's Dementia Onset and Progression in International Cohorts (ADOPIC) study (Australian Imaging Biomarkers and Lifestyle + Alzheimer's Disease Neuroimaging Initiative + Open Access Series of Imaging Studies), age‐matched pairs of mild Alzheimer's disease (AD) and healthy controls (HC) were selected: 18F‐florbetapir (N = 147 pairs), 18F‐florbetaben (N = 22), 18F‐flutemetamol (N = 10), 18F‐NAV (N = 42), 11C‐PiB (N = 63). The images were spatially and standardized uptake value ratio normalized. For each tracer, the mean AD–HC difference image was thresholded to maximize the overlap with the standard neocortical mask. The universal mask was defined as the intersection of all five masks. It was evaluated on the Global Alzheimer's Association Interactive Network (GAAIN) head‐to‐head datasets in terms of inter‐tracer agreement and variance in the young controls (YC) and on the ADOPIC dataset comparing separation between HC/AD and HC/mild cognitive impairment (MCI). RESULTS In the GAAIN dataset, the universal mask led to a small reduction in the variance of the YC, and a small increase in the inter‐tracer agreement. In the ADOPIC dataset, it led to a better separation between HC/AD and HC/MCI at baseline. DISCUSSION The universal CL mask led to an increase in inter‐tracer agreement and group separation. Those increases were, however, very small, and do not provide sufficient benefits to support departing from the existing standard CL mask, which is suitable for the quantification of all Aβ tracers. HIGHLIGHTS This study built an amyloid universal mask using a matched cohort for the five most commonly used amyloid positron emission tomography tracers. There was a high overlap between each tracer‐specific mask. Differences in quantification and group separation between the standard and universal mask were small. The existing standard Centiloid mask is suitable for the quantification of all amyloid beta tracers.https://doi.org/10.1002/dad2.12457amyloid positron emission tomographyCentiloidFlorbetabenFlorbetapirFlutemetamolNAV4694 |
| spellingShingle | Pierrick Bourgeat Vincent Doré Christopher C. Rowe Tammie Benzinger Duygu Tosun Manu S. Goyal Pamela LaMontagne Liang Jin Michael W. Weiner Colin L. Masters Jurgen Fripp Victor L. Villemagne for the Alzheimer's Disease Neuroimaging Initiative OASIS3, and the AIBL research group A universal neocortical mask for Centiloid quantification Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring amyloid positron emission tomography Centiloid Florbetaben Florbetapir Flutemetamol NAV4694 |
| title | A universal neocortical mask for Centiloid quantification |
| title_full | A universal neocortical mask for Centiloid quantification |
| title_fullStr | A universal neocortical mask for Centiloid quantification |
| title_full_unstemmed | A universal neocortical mask for Centiloid quantification |
| title_short | A universal neocortical mask for Centiloid quantification |
| title_sort | universal neocortical mask for centiloid quantification |
| topic | amyloid positron emission tomography Centiloid Florbetaben Florbetapir Flutemetamol NAV4694 |
| url | https://doi.org/10.1002/dad2.12457 |
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