Erosion of The Supratentorial White Matter Reference for Increased Power in Longitudinal Amyloid PET

Abstract Background Use of the supratentorial white matter (sWM) as a reference region for amyloid PET, alone or in a composite, can facilitate the detection of subtle changes in amyloid load (Wong et al. , 2010; Landau et al. , 2015). Investigators often erode the sWM labels to reduce the influence of signal “spill‐in” from grey matter, but the optimal extent of erosion is unclear, and evaluations for 18 F tracers other than [ 18 F]florbetapir are scarce (Bullich et al. , 2017). We aimed to determine the optimal extent of erosion of the supratentorial white matter by the ability to differentiate between participants who experience divergent disease trajectories. Method We used longitudinal PET and T1w‐MR images acquired from participants who did not have Alzheimer’s disease at baseline (sources: ADNI https://adni.loni.usc.edu/ , AMYPAD https://amypad.eu/ ). The participants were classified as “ Decline ” or “ Stable ” according to change in cognitive measures, and alternatively in cerebrospinal fluid amyloid‐β42 (CSF‐Aβ42; where available). We used IXICO’s MultiLEAP pipeline to automatically segment the T1w‐MRI into 143 regions with high accuracy (Figure 1). Standardised uptake value ratios (SUVRs) were calculated for the global cortical region using the whole cerebellum (WC) reference region, and using pons‐eroded sWM‐WC composites after erosion by 0 – 5 (1 mm3) voxels (Figure 2). We compared effect sizes (ΔSUVR/year – Decline versus Stable ) across all reference regions. Result In preliminary analyses using [ 18 F]florbetaben data (scan interval 3±1 years), the WC reference region yielded Cohen’s d of 0.19 for 112 participants classified via cognitive measures, and 0.59 for 35 who could be classified via CSF‐Aβ42. The sWM‐containing composites yielded d values that were 1.8 – 2.1 and 1.08 – 1.17 times higher, respectively, depending on extent of erosion (Figure 3). For both classifications, erosion by two voxels yielded the maximal d (0.40 and 0.69) – equivalent to mean increases in SUVR of 0.8%/1.3% and 0.3%/‐0.3% per year for Decline and Stable , respectively. Conclusion Eroded sWM‐containing reference regions appear to offer greater sensitivity to longitudinal change than the WC. Validation of this finding in a larger population and for additional radiotracers is ongoing. We will examine the influence of scanner model on the optimal extent of erosion.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.086084
Citations
1
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Erosion of The Supratentorial White Matter Reference for Increased Power in Longitudinal Amyloid PET

Robert N. Parker, Colm J. McGinnity, Luis R. Peraza, Robin Wolz
1 citations
Alzheimer s & Dementia
Medical Imaging Techniques and Applications
0.40
article

Erosion of The Supratentorial White Matter Reference for Increased Power in Longitudinal Amyloid PET

Robert N. Parker, Colm J. McGinnity, Luis R. Peraza, Robin Wolz
article en
1 citations

Abstract

Abstract Background Use of the supratentorial white matter (sWM) as a reference region for amyloid PET, alone or in a composite, can facilitate the detection of subtle changes in amyloid load (Wong et al. , 2010; Landau et al. , 2015). Investigators often erode the sWM labels to reduce the influence of signal “spill‐in” from grey matter, but the optimal extent of erosion is unclear, and evaluations for 18 F tracers other than [ 18 F]florbetapir are scarce (Bullich et al. , 2017). We aimed to determine the optimal extent of erosion of the supratentorial white matter by the ability to differentiate between participants who experience divergent disease trajectories. Method We used longitudinal PET and T1w‐MR images acquired from participants who did not have Alzheimer’s disease at baseline (sources: ADNI https://adni.loni.usc.edu/ , AMYPAD https://amypad.eu/ ). The participants were classified as “ Decline ” or “ Stable ” according to change in cognitive measures, and alternatively in cerebrospinal fluid amyloid‐β42 (CSF‐Aβ42; where available). We used IXICO’s MultiLEAP pipeline to automatically segment the T1w‐MRI into 143 regions with high accuracy (Figure 1). Standardised uptake value ratios (SUVRs) were calculated for the global cortical region using the whole cerebellum (WC) reference region, and using pons‐eroded sWM‐WC composites after erosion by 0 – 5 (1 mm3) voxels (Figure 2). We compared effect sizes (ΔSUVR/year – Decline versus Stable ) across all reference regions. Result In preliminary analyses using [ 18 F]florbetaben data (scan interval 3±1 years), the WC reference region yielded Cohen’s d of 0.19 for 112 participants classified via cognitive measures, and 0.59 for 35 who could be classified via CSF‐Aβ42. The sWM‐containing composites yielded d values that were 1.8 – 2.1 and 1.08 – 1.17 times higher, respectively, depending on extent of erosion (Figure 3). For both classifications, erosion by two voxels yielded the maximal d (0.40 and 0.69) – equivalent to mean increases in SUVR of 0.8%/1.3% and 0.3%/‐0.3% per year for Decline and Stable , respectively. Conclusion Eroded sWM‐containing reference regions appear to offer greater sensitivity to longitudinal change than the WC. Validation of this finding in a larger population and for additional radiotracers is ongoing. We will examine the influence of scanner model on the optimal extent of erosion.

Alzheimer s & DementiaVol. 20(S2)
Ixico (United Kingdom) (GB)
Openalex Percentile: Top 31%
Medical Imaging Techniques and Applications
0.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.