Peak width of skeletonized mean diffusivity in cerebral amyloid angiopathy: Spatial signature, cognitive, and neuroimaging associations

Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD). Investigate whether PSMD (1) is higher in patients with Cerebral Amyloid...

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Published inFrontiers in neuroscience Vol. 16; p. 1051038
Main Authors Zanon Zotin, Maria Clara, Schoemaker, Dorothee, Raposo, Nicolas, Perosa, Valentina, Bretzner, Martin, Sveikata, Lukas, Li, Qi, van Veluw, Susanne J., Horn, Mitchell J., Etherton, Mark R., Charidimou, Andreas, Gurol, M. Edip, Greenberg, Steven M., Duering, Marco, Santos, Antonio Carlos dos, Pontes-Neto, Octavio M., Viswanathan, Anand
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 11.11.2022
Frontiers
Frontiers Media S.A
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Online AccessGet full text
ISSN1662-453X
1662-4548
1662-453X
DOI10.3389/fnins.2022.1051038

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Abstract Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD). Investigate whether PSMD (1) is higher in patients with Cerebral Amyloid Angiopathy (CAA) than those with arteriolosclerosis; (2) can capture the anteroposterior distribution of CAA-related abnormalities; (3) shows similar neuroimaging and cognitive associations in comparison to other classical DTI markers, such as average mean diffusivity (MD) and fractional anisotropy (FA). We analyzed cross-sectional neuroimaging and neuropsychological data from 90 non-demented memory-clinic subjects from a single center. Based on MRI findings, we classified them into probable-CAA (those that fulfilled the modified Boston criteria), subjects with MRI markers of cSVD not attributable to CAA (presumed arteriolosclerosis; cSVD), and subjects without evidence of cSVD on MRI (non-cSVD). We compared total and lobe-specific (frontal and occipital) DTI metrics values across the groups. We used linear regression models to investigate how PSMD, MD, and FA correlate with conventional neuroimaging markers of cSVD and cognitive scores in CAA. PSMD was comparable in probable-CAA (median 4.06 × 10 mm /s) and cSVD (4.07 × 10 mm /s) patients, but higher than in non-cSVD (3.30 × 10 mm /s; < 0.001) subjects. Occipital-frontal PSMD gradients were higher in probable-CAA patients, and we observed a significant interaction between diagnosis and region on PSMD values [ (2, 87) = 3.887, = 0.024]. PSMD was mainly associated with white matter hyperintensity volume, whereas MD and FA were also associated with other markers, especially with the burden of perivascular spaces. PSMD correlated with worse executive function (β = -0.581, < 0.001) and processing speed (β = -0.463, = 0.003), explaining more variance than other MRI markers. MD and FA were not associated with performance in any cognitive domain. PSMD is a promising biomarker of cognitive impairment in CAA that outperforms other conventional and DTI-based neuroimaging markers. Although global PSMD is similarly increased in different forms of cSVD, PSMD's spatial variations could potentially provide insights into the predominant type of underlying microvascular pathology.
AbstractList BackgroundPeak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD).PurposeInvestigate whether PSMD (1) is higher in patients with Cerebral Amyloid Angiopathy (CAA) than those with arteriolosclerosis; (2) can capture the anteroposterior distribution of CAA-related abnormalities; (3) shows similar neuroimaging and cognitive associations in comparison to other classical DTI markers, such as average mean diffusivity (MD) and fractional anisotropy (FA).Materials and methodsWe analyzed cross-sectional neuroimaging and neuropsychological data from 90 non-demented memory-clinic subjects from a single center. Based on MRI findings, we classified them into probable-CAA (those that fulfilled the modified Boston criteria), subjects with MRI markers of cSVD not attributable to CAA (presumed arteriolosclerosis; cSVD), and subjects without evidence of cSVD on MRI (non-cSVD). We compared total and lobe-specific (frontal and occipital) DTI metrics values across the groups. We used linear regression models to investigate how PSMD, MD, and FA correlate with conventional neuroimaging markers of cSVD and cognitive scores in CAA.ResultsPSMD was comparable in probable-CAA (median 4.06 × 10–4 mm2/s) and cSVD (4.07 × 10–4 mm2/s) patients, but higher than in non-cSVD (3.30 × 10–4 mm2/s; p < 0.001) subjects. Occipital-frontal PSMD gradients were higher in probable-CAA patients, and we observed a significant interaction between diagnosis and region on PSMD values [F(2, 87) = 3.887, p = 0.024]. PSMD was mainly associated with white matter hyperintensity volume, whereas MD and FA were also associated with other markers, especially with the burden of perivascular spaces. PSMD correlated with worse executive function (β = −0.581, p < 0.001) and processing speed (β = −0.463, p = 0.003), explaining more variance than other MRI markers. MD and FA were not associated with performance in any cognitive domain.ConclusionPSMD is a promising biomarker of cognitive impairment in CAA that outperforms other conventional and DTI-based neuroimaging markers. Although global PSMD is similarly increased in different forms of cSVD, PSMD’s spatial variations could potentially provide insights into the predominant type of underlying microvascular pathology.
Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD).BackgroundPeak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD).Investigate whether PSMD (1) is higher in patients with Cerebral Amyloid Angiopathy (CAA) than those with arteriolosclerosis; (2) can capture the anteroposterior distribution of CAA-related abnormalities; (3) shows similar neuroimaging and cognitive associations in comparison to other classical DTI markers, such as average mean diffusivity (MD) and fractional anisotropy (FA).PurposeInvestigate whether PSMD (1) is higher in patients with Cerebral Amyloid Angiopathy (CAA) than those with arteriolosclerosis; (2) can capture the anteroposterior distribution of CAA-related abnormalities; (3) shows similar neuroimaging and cognitive associations in comparison to other classical DTI markers, such as average mean diffusivity (MD) and fractional anisotropy (FA).We analyzed cross-sectional neuroimaging and neuropsychological data from 90 non-demented memory-clinic subjects from a single center. Based on MRI findings, we classified them into probable-CAA (those that fulfilled the modified Boston criteria), subjects with MRI markers of cSVD not attributable to CAA (presumed arteriolosclerosis; cSVD), and subjects without evidence of cSVD on MRI (non-cSVD). We compared total and lobe-specific (frontal and occipital) DTI metrics values across the groups. We used linear regression models to investigate how PSMD, MD, and FA correlate with conventional neuroimaging markers of cSVD and cognitive scores in CAA.Materials and methodsWe analyzed cross-sectional neuroimaging and neuropsychological data from 90 non-demented memory-clinic subjects from a single center. Based on MRI findings, we classified them into probable-CAA (those that fulfilled the modified Boston criteria), subjects with MRI markers of cSVD not attributable to CAA (presumed arteriolosclerosis; cSVD), and subjects without evidence of cSVD on MRI (non-cSVD). We compared total and lobe-specific (frontal and occipital) DTI metrics values across the groups. We used linear regression models to investigate how PSMD, MD, and FA correlate with conventional neuroimaging markers of cSVD and cognitive scores in CAA.PSMD was comparable in probable-CAA (median 4.06 × 10-4 mm2/s) and cSVD (4.07 × 10-4 mm2/s) patients, but higher than in non-cSVD (3.30 × 10-4 mm2/s; p < 0.001) subjects. Occipital-frontal PSMD gradients were higher in probable-CAA patients, and we observed a significant interaction between diagnosis and region on PSMD values [F(2, 87) = 3.887, p = 0.024]. PSMD was mainly associated with white matter hyperintensity volume, whereas MD and FA were also associated with other markers, especially with the burden of perivascular spaces. PSMD correlated with worse executive function (β = -0.581, p < 0.001) and processing speed (β = -0.463, p = 0.003), explaining more variance than other MRI markers. MD and FA were not associated with performance in any cognitive domain.ResultsPSMD was comparable in probable-CAA (median 4.06 × 10-4 mm2/s) and cSVD (4.07 × 10-4 mm2/s) patients, but higher than in non-cSVD (3.30 × 10-4 mm2/s; p < 0.001) subjects. Occipital-frontal PSMD gradients were higher in probable-CAA patients, and we observed a significant interaction between diagnosis and region on PSMD values [F(2, 87) = 3.887, p = 0.024]. PSMD was mainly associated with white matter hyperintensity volume, whereas MD and FA were also associated with other markers, especially with the burden of perivascular spaces. PSMD correlated with worse executive function (β = -0.581, p < 0.001) and processing speed (β = -0.463, p = 0.003), explaining more variance than other MRI markers. MD and FA were not associated with performance in any cognitive domain.PSMD is a promising biomarker of cognitive impairment in CAA that outperforms other conventional and DTI-based neuroimaging markers. Although global PSMD is similarly increased in different forms of cSVD, PSMD's spatial variations could potentially provide insights into the predominant type of underlying microvascular pathology.ConclusionPSMD is a promising biomarker of cognitive impairment in CAA that outperforms other conventional and DTI-based neuroimaging markers. Although global PSMD is similarly increased in different forms of cSVD, PSMD's spatial variations could potentially provide insights into the predominant type of underlying microvascular pathology.
Background: Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD). Purpose: Investigate whether PSMD 1) is higher in patients with Cerebral Amyloid Angiopathy (CAA) than those with arteriolosclerosis; 2) can capture the anteroposterior distribution of CAA-related abnormalities; 3) shows similar neuroimaging and cognitive associations in comparison to other classical DTI markers, such as average mean diffusivity (MD) and fractional anisotropy (FA). Methods: We analyzed cross-sectional neuroimaging and neuropsychological data from 90 non-demented memory-clinic subjects from a single center. Based on MRI findings, we classified them into probable-CAA (those that fulfilled the modified Boston criteria), subjects with MRI markers of cSVD not attributable to CAA (presumed arteriolosclerosis; cSVD), and subjects without evidence of cSVD on MRI (non-cSVD). We compared total and lobe-specific (frontal and occipital) DTI metrics values across the groups. We used linear regression models to investigate how PSMD, MD, and FA correlate with conventional neuroimaging markers of cSVD and cognitive scores in CAA. Results: PSMD was comparable in probable-CAA (median 4.06 x 10-4 mm2/s) and cSVD (4.07 x 10-4 mm2/s) patients, but higher than in non-cSVD (3.30 x 10-4 mm2/s; p<0.001) subjects. Occipital-frontal PSMD gradients were higher in probable-CAA patients, and we observed a significant interaction between diagnosis and region on PSMD values (F(2, 87) = 3.887, p = .024). PSMD was mainly associated with white matter hyperintensity volume, whereas MD and FA were also associated with other markers, especially with the burden of perivascular spaces. PSMD correlated with worse executive function (=-0.581, p<0.001) and processing speed (=-0.463, p=0.003), explaining more variance than other MRI markers. MD and FA were not associated with performance in any cognitive domain. Conclusions: PSMD is a promising biomarker of cognitive impairment in CAA that outperforms other conventional and DTI-based neuroimaging markers. Although global PSMD is similarly increased in different forms of cSVD, PSMD’s spatial variations could potentially provide insights into the predominant type of underlying microvascular pathology.
Background: Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD).Purpose: Investigate whether PSMD (1) is higher in patients with Cerebral Amyloid Angiopathy (CAA) than those with arteriolosclerosis; (2) can capture the anteroposterior distribution of CAA-related abnormalities; (3) shows similar neuroimaging and cognitive associations in comparison to other classical DTI markers, such as average mean diffusivity (MD) and fractional anisotropy (FA).Materials and methods: We analyzed cross-sectional neuroimaging and neuropsychological data from 90 non-demented memory-clinic subjects from a single center. Based on MRI findings, we classified them into probable-CAA (those that fulfilled the modified Boston criteria), subjects with MRI markers of cSVD not attributable to CAA (presumed arteriolosclerosis; cSVD), and subjects without evidence of cSVD on MRI (non-cSVD). We compared total and lobe-specific (frontal and occipital) DTI metrics values across the groups. We used linear regression models to investigate how PSMD, MD, and FA correlate with conventional neuroimaging markers of cSVD and cognitive scores in CAA.Results: PSMD was comparable in probable-CAA (median 4.06 × 10-4 mm2/s) and cSVD (4.07 × 10-4 mm2/s) patients, but higher than in non-cSVD (3.30 × 10-4 mm2/s; p < 0.001) subjects. Occipital-frontal PSMD gradients were higher in probable-CAA patients, and we observed a significant interaction between diagnosis and region on PSMD values [F(2, 87) = 3.887, p = 0.024]. PSMD was mainly associated with white matter hyperintensity volume, whereas MD and FA were also associated with other markers, especially with the burden of perivascular spaces. PSMD correlated with worse executive function (β = -0.581, p < 0.001) and processing speed (β = -0.463, p = 0.003), explaining more variance than other MRI markers. MD and FA were not associated with performance in any cognitive domain.Conclusion: PSMD is a promising biomarker of cognitive impairment in CAA that outperforms other conventional and DTI-based neuroimaging markers. Although global PSMD is similarly increased in different forms of cSVD, PSMD's spatial variations could potentially provide insights into the predominant type of underlying microvascular pathology.
Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD). Investigate whether PSMD (1) is higher in patients with Cerebral Amyloid Angiopathy (CAA) than those with arteriolosclerosis; (2) can capture the anteroposterior distribution of CAA-related abnormalities; (3) shows similar neuroimaging and cognitive associations in comparison to other classical DTI markers, such as average mean diffusivity (MD) and fractional anisotropy (FA). We analyzed cross-sectional neuroimaging and neuropsychological data from 90 non-demented memory-clinic subjects from a single center. Based on MRI findings, we classified them into probable-CAA (those that fulfilled the modified Boston criteria), subjects with MRI markers of cSVD not attributable to CAA (presumed arteriolosclerosis; cSVD), and subjects without evidence of cSVD on MRI (non-cSVD). We compared total and lobe-specific (frontal and occipital) DTI metrics values across the groups. We used linear regression models to investigate how PSMD, MD, and FA correlate with conventional neuroimaging markers of cSVD and cognitive scores in CAA. PSMD was comparable in probable-CAA (median 4.06 × 10 mm /s) and cSVD (4.07 × 10 mm /s) patients, but higher than in non-cSVD (3.30 × 10 mm /s; < 0.001) subjects. Occipital-frontal PSMD gradients were higher in probable-CAA patients, and we observed a significant interaction between diagnosis and region on PSMD values [ (2, 87) = 3.887, = 0.024]. PSMD was mainly associated with white matter hyperintensity volume, whereas MD and FA were also associated with other markers, especially with the burden of perivascular spaces. PSMD correlated with worse executive function (β = -0.581, < 0.001) and processing speed (β = -0.463, = 0.003), explaining more variance than other MRI markers. MD and FA were not associated with performance in any cognitive domain. PSMD is a promising biomarker of cognitive impairment in CAA that outperforms other conventional and DTI-based neuroimaging markers. Although global PSMD is similarly increased in different forms of cSVD, PSMD's spatial variations could potentially provide insights into the predominant type of underlying microvascular pathology.
Author Schoemaker, Dorothee
Gurol, M. Edip
Horn, Mitchell J.
Duering, Marco
Li, Qi
Perosa, Valentina
van Veluw, Susanne J.
Sveikata, Lukas
Viswanathan, Anand
Greenberg, Steven M.
Zanon Zotin, Maria Clara
Bretzner, Martin
Pontes-Neto, Octavio M.
Etherton, Mark R.
Santos, Antonio Carlos dos
Raposo, Nicolas
Charidimou, Andreas
AuthorAffiliation 8 Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences , Kaunas , Lithuania
9 The First Affiliated Hospital of Chongqing Medical University , Chongqing , China
4 Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS , Toulouse , France
6 University of Lille, Inserm, CHU Lille, U1172 - LilNCog (JPARC) - Lille Neurosciences & Cognition , Lille , France
11 Department of Biomedical Engineering, Medical Imaging Analysis Center (MIAC), University of Basel , Basel , Switzerland
3 Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital , Boston, MA , United States
7 Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals , Geneva , Switzerland
2 Center for Imaging Sciences and Medical Physics, Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo , Ribeirão Preto , Brazil
10 Department of Neurology, Boston University School of Medicine, B
AuthorAffiliation_xml – name: 8 Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences , Kaunas , Lithuania
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– name: 9 The First Affiliated Hospital of Chongqing Medical University , Chongqing , China
– name: 3 Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital , Boston, MA , United States
– name: 10 Department of Neurology, Boston University School of Medicine, Boston University Medical Center , Boston, MA , United States
– name: 7 Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals , Geneva , Switzerland
– name: 6 University of Lille, Inserm, CHU Lille, U1172 - LilNCog (JPARC) - Lille Neurosciences & Cognition , Lille , France
– name: 12 Department of Neuroscience and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo , Ribeirão Preto , Brazil
– name: 1 J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School , Boston, MA , United States
– name: 4 Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS , Toulouse , France
– name: 5 German Center for Neurodegenerative Disease , Magdeburg , Germany
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Copyright Copyright © 2022 Zanon Zotin, Schoemaker, Raposo, Perosa, Bretzner, Sveikata, Li, van Veluw, Horn, Etherton, Charidimou, Gurol, Greenberg, Duering, Santos, Pontes-Neto and Viswanathan.
2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Distributed under a Creative Commons Attribution 4.0 International License
Copyright © 2022 Zanon Zotin, Schoemaker, Raposo, Perosa, Bretzner, Sveikata, Li, van Veluw, Horn, Etherton, Charidimou, Gurol, Greenberg, Duering, Santos, Pontes-Neto and Viswanathan. 2022 Zanon Zotin, Schoemaker, Raposo, Perosa, Bretzner, Sveikata, Li, van Veluw, Horn, Etherton, Charidimou, Gurol, Greenberg, Duering, Santos, Pontes-Neto and Viswanathan
Copyright_xml – notice: Copyright © 2022 Zanon Zotin, Schoemaker, Raposo, Perosa, Bretzner, Sveikata, Li, van Veluw, Horn, Etherton, Charidimou, Gurol, Greenberg, Duering, Santos, Pontes-Neto and Viswanathan.
– notice: 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: Distributed under a Creative Commons Attribution 4.0 International License
– notice: Copyright © 2022 Zanon Zotin, Schoemaker, Raposo, Perosa, Bretzner, Sveikata, Li, van Veluw, Horn, Etherton, Charidimou, Gurol, Greenberg, Duering, Santos, Pontes-Neto and Viswanathan. 2022 Zanon Zotin, Schoemaker, Raposo, Perosa, Bretzner, Sveikata, Li, van Veluw, Horn, Etherton, Charidimou, Gurol, Greenberg, Duering, Santos, Pontes-Neto and Viswanathan
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Keywords vascular cognitive impairment
cerebral small vessel disease
dementia
diffusion tensor imaging
cerebral amyloid angiopathy
diffusion-weighted imaging
cerebral amyloid angiopathy cerebral small vessel disease dementia vascular cognitive impairment diffusion tensor imaging diffusion-weighted imaging
Language English
License Copyright © 2022 Zanon Zotin, Schoemaker, Raposo, Perosa, Bretzner, Sveikata, Li, van Veluw, Horn, Etherton, Charidimou, Gurol, Greenberg, Duering, Santos, Pontes-Neto and Viswanathan.
Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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PMCID: PMC9693722
Edited by: Marek Joukal, Masaryk University, Czechia
This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience
Reviewed by: Cheryl R. McCreary, University of Calgary, Canada; Ami Tsuchida, Université de Bordeaux, France
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Snippet Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations...
Background: Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive...
BackgroundPeak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive...
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StartPage 1051038
SubjectTerms Alzheimer's disease
Amyloid
Anisotropy
Automation
Cerebral amyloid angiopathy
cerebral small vessel disease
Cognitive ability
Dementia
diffusion tensor imaging
diffusion-weighted imaging
Executive function
Life Sciences
Magnetic resonance imaging
Medical imaging
Memory
Microvasculature
Neuroimaging
Neuropsychology
Neuroscience
Pathology
Regression analysis
Spatial variations
Substantia alba
vascular cognitive impairment
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Title Peak width of skeletonized mean diffusivity in cerebral amyloid angiopathy: Spatial signature, cognitive, and neuroimaging associations
URI https://www.ncbi.nlm.nih.gov/pubmed/36440281
https://www.proquest.com/docview/2735896750
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https://pubmed.ncbi.nlm.nih.gov/PMC9693722
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Volume 16
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