Instrumental validation of free water, peak-width of skeletonized mean diffusivity, and white matter hyperintensities: MarkVCID neuroimaging kits

doi:10.1002/dad2.12261

Instrumental validation of free water, peak-width of skeletonized mean diffusivity, and white matter hyperintensities: MarkVCID neuroimaging kits

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Abstract

Introduction: To describe the protocol and findings of the instrumental validation of three imaging-based biomarker kits selected by the MarkVCID consortium: free water (FW) and peak width of skeletonized mean diffusivity (PSMD), both derived from diffusion tensor imaging (DTI), and white matter hyperintensity (WMH) volume derived from fluid attenuation inversion recovery and T1-weighted imaging. Methods: The instrumental validation of imaging-based biomarker kits included inter-rater reliability among participating sites, test–retest repeatability, and inter-scanner reproducibility across three types of magnetic resonance imaging (MRI) scanners using intra-class correlation coefficients (ICC). Results: The three biomarkers demonstrated excellent inter-rater reliability (ICC >0.94, P-values <.001), very high agreement between test and retest sessions (ICC >0.98, P-values <.001), and were extremely consistent across the three scanners (ICC >0.98, P-values <.001). Discussion: The three biomarker kits demonstrated very high inter-rater reliability, test–retest repeatability, and inter-scanner reproducibility, offering robust biomarkers suitable for future multi-site observational studies and clinical trials in the context of vascular cognitive impairment and dementia (VCID).

Original language	English
Article number	e12261
Journal	Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
Volume	14
Issue number	1
DOIs	https://doi.org/10.1002/dad2.12261
State	Published - 2022

Bibliographical note

Funding Information:
U24NS100591; UH3NS100599; UH3NS100588; UH3NS100608; UH3NS100605; UH3NS100606; UH3NS100598; UH3NS100614; P30 AG 010129; 5UH2NS100614-02. The authors thank: Bruce Fischl, Department of Radiology, Massachusetts General Hospital; Arnold M. Evia, Rush Alzheimer's Disease Center, Rush University Medical Center and Nazanin Makkinejad, Department of Biomedical Engineering, Illinois Institute of Technology; Xin Li and Yang Li, Department of Radiology, Johns Hopkins University School of Medicine; Samantha Ma, Departments of Neurology and Radiology, Keck School of Medicine, University of Southern California; Elyas Fadaee, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health San Antonio; Andrew Warren, Mitchell Horn, and Vanessa Gonzalez, Department of Neurology, Massachusetts General Hospital; and Linda McGavern from NIH/NINDS.

Publisher Copyright:
© 2021 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.

Keywords

VCID
biomarker
diffusion tensor imaging
free water
magnetic resonance imaging
peak-width skeletonized mean diffusivity
small vessel disease
vascular contributions to cognitive impairment and dementia
white matter hyperintensity
white matter injury

ASJC Scopus subject areas

Clinical Neurology
Psychiatry and Mental health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/dad2.12261

Cite this

@article{bd67f5f164904423a6b613870cd49ba8,

title = "Instrumental validation of free water, peak-width of skeletonized mean diffusivity, and white matter hyperintensities: MarkVCID neuroimaging kits",

abstract = "Introduction: To describe the protocol and findings of the instrumental validation of three imaging-based biomarker kits selected by the MarkVCID consortium: free water (FW) and peak width of skeletonized mean diffusivity (PSMD), both derived from diffusion tensor imaging (DTI), and white matter hyperintensity (WMH) volume derived from fluid attenuation inversion recovery and T1-weighted imaging. Methods: The instrumental validation of imaging-based biomarker kits included inter-rater reliability among participating sites, test–retest repeatability, and inter-scanner reproducibility across three types of magnetic resonance imaging (MRI) scanners using intra-class correlation coefficients (ICC). Results: The three biomarkers demonstrated excellent inter-rater reliability (ICC >0.94, P-values <.001), very high agreement between test and retest sessions (ICC >0.98, P-values <.001), and were extremely consistent across the three scanners (ICC >0.98, P-values <.001). Discussion: The three biomarker kits demonstrated very high inter-rater reliability, test–retest repeatability, and inter-scanner reproducibility, offering robust biomarkers suitable for future multi-site observational studies and clinical trials in the context of vascular cognitive impairment and dementia (VCID).",

keywords = "VCID, biomarker, diffusion tensor imaging, free water, magnetic resonance imaging, peak-width skeletonized mean diffusivity, small vessel disease, vascular contributions to cognitive impairment and dementia, white matter hyperintensity, white matter injury",

author = "Pauline Maillard and Hanzhang Lu and Konstantinos Arfanakis and Gold, {Brian T.} and Bauer, {Christopher E.} and Valentinos Zachariou and Lara Stables and Wang, {Danny J.J.} and Kay Jann and Sudha Seshadri and Marco Duering and Hillmer, {Laura J.} and Rosenberg, {Gary A.} and Haykel Snoussi and Farshid Sepehrband and Mohamad Habes and Baljeet Singh and Kramer, {Joel H.} and Corriveau, {Roderick A.} and Herpreet Singh and Kristin Schwab and Helmer, {Karl G.} and Greenberg, {Steven M.} and Arvind Caprihan and Charles DeCarli and Satizabal, {Claudia L.}",

note = "Funding Information: U24NS100591; UH3NS100599; UH3NS100588; UH3NS100608; UH3NS100605; UH3NS100606; UH3NS100598; UH3NS100614; P30 AG 010129; 5UH2NS100614-02. The authors thank: Bruce Fischl, Department of Radiology, Massachusetts General Hospital; Arnold M. Evia, Rush Alzheimer's Disease Center, Rush University Medical Center and Nazanin Makkinejad, Department of Biomedical Engineering, Illinois Institute of Technology; Xin Li and Yang Li, Department of Radiology, Johns Hopkins University School of Medicine; Samantha Ma, Departments of Neurology and Radiology, Keck School of Medicine, University of Southern California; Elyas Fadaee, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health San Antonio; Andrew Warren, Mitchell Horn, and Vanessa Gonzalez, Department of Neurology, Massachusetts General Hospital; and Linda McGavern from NIH/NINDS. Publisher Copyright: {\textcopyright} 2021 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.",

year = "2022",

doi = "10.1002/dad2.12261",

language = "English",

volume = "14",

number = "1",

}

TY - JOUR

T1 - Instrumental validation of free water, peak-width of skeletonized mean diffusivity, and white matter hyperintensities

T2 - MarkVCID neuroimaging kits

AU - Maillard, Pauline

AU - Lu, Hanzhang

AU - Arfanakis, Konstantinos

AU - Gold, Brian T.

AU - Bauer, Christopher E.

AU - Zachariou, Valentinos

AU - Stables, Lara

AU - Wang, Danny J.J.

AU - Jann, Kay

AU - Seshadri, Sudha

AU - Duering, Marco

AU - Hillmer, Laura J.

AU - Rosenberg, Gary A.

AU - Snoussi, Haykel

AU - Sepehrband, Farshid

AU - Habes, Mohamad

AU - Singh, Baljeet

AU - Kramer, Joel H.

AU - Corriveau, Roderick A.

AU - Singh, Herpreet

AU - Schwab, Kristin

AU - Helmer, Karl G.

AU - Greenberg, Steven M.

AU - Caprihan, Arvind

AU - DeCarli, Charles

AU - Satizabal, Claudia L.

N1 - Funding Information: U24NS100591; UH3NS100599; UH3NS100588; UH3NS100608; UH3NS100605; UH3NS100606; UH3NS100598; UH3NS100614; P30 AG 010129; 5UH2NS100614-02. The authors thank: Bruce Fischl, Department of Radiology, Massachusetts General Hospital; Arnold M. Evia, Rush Alzheimer's Disease Center, Rush University Medical Center and Nazanin Makkinejad, Department of Biomedical Engineering, Illinois Institute of Technology; Xin Li and Yang Li, Department of Radiology, Johns Hopkins University School of Medicine; Samantha Ma, Departments of Neurology and Radiology, Keck School of Medicine, University of Southern California; Elyas Fadaee, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health San Antonio; Andrew Warren, Mitchell Horn, and Vanessa Gonzalez, Department of Neurology, Massachusetts General Hospital; and Linda McGavern from NIH/NINDS. Publisher Copyright: © 2021 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.

PY - 2022

Y1 - 2022

N2 - Introduction: To describe the protocol and findings of the instrumental validation of three imaging-based biomarker kits selected by the MarkVCID consortium: free water (FW) and peak width of skeletonized mean diffusivity (PSMD), both derived from diffusion tensor imaging (DTI), and white matter hyperintensity (WMH) volume derived from fluid attenuation inversion recovery and T1-weighted imaging. Methods: The instrumental validation of imaging-based biomarker kits included inter-rater reliability among participating sites, test–retest repeatability, and inter-scanner reproducibility across three types of magnetic resonance imaging (MRI) scanners using intra-class correlation coefficients (ICC). Results: The three biomarkers demonstrated excellent inter-rater reliability (ICC >0.94, P-values <.001), very high agreement between test and retest sessions (ICC >0.98, P-values <.001), and were extremely consistent across the three scanners (ICC >0.98, P-values <.001). Discussion: The three biomarker kits demonstrated very high inter-rater reliability, test–retest repeatability, and inter-scanner reproducibility, offering robust biomarkers suitable for future multi-site observational studies and clinical trials in the context of vascular cognitive impairment and dementia (VCID).

AB - Introduction: To describe the protocol and findings of the instrumental validation of three imaging-based biomarker kits selected by the MarkVCID consortium: free water (FW) and peak width of skeletonized mean diffusivity (PSMD), both derived from diffusion tensor imaging (DTI), and white matter hyperintensity (WMH) volume derived from fluid attenuation inversion recovery and T1-weighted imaging. Methods: The instrumental validation of imaging-based biomarker kits included inter-rater reliability among participating sites, test–retest repeatability, and inter-scanner reproducibility across three types of magnetic resonance imaging (MRI) scanners using intra-class correlation coefficients (ICC). Results: The three biomarkers demonstrated excellent inter-rater reliability (ICC >0.94, P-values <.001), very high agreement between test and retest sessions (ICC >0.98, P-values <.001), and were extremely consistent across the three scanners (ICC >0.98, P-values <.001). Discussion: The three biomarker kits demonstrated very high inter-rater reliability, test–retest repeatability, and inter-scanner reproducibility, offering robust biomarkers suitable for future multi-site observational studies and clinical trials in the context of vascular cognitive impairment and dementia (VCID).

KW - VCID

KW - biomarker

KW - diffusion tensor imaging

KW - free water

KW - magnetic resonance imaging

KW - peak-width skeletonized mean diffusivity

KW - small vessel disease

KW - vascular contributions to cognitive impairment and dementia

KW - white matter hyperintensity

KW - white matter injury

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UR - http://www.scopus.com/inward/citedby.url?scp=85140455111&partnerID=8YFLogxK

U2 - 10.1002/dad2.12261

DO - 10.1002/dad2.12261

M3 - Article

AN - SCOPUS:85140455111

VL - 14

IS - 1

M1 - e12261

ER -

Instrumental validation of free water, peak-width of skeletonized mean diffusivity, and white matter hyperintensities: MarkVCID neuroimaging kits

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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