Power estimation for non-standardized multisite studies
Anisha Keshavan
(1, 2)
,
Friedemann Paul
(3, 4)
,
Mona K. Beyer
(5)
,
Alyssa H. Zhu
(2)
,
Nico Papinutto
(2)
,
Russell T. Shinohara
(6)
,
William Stern
(2)
,
Michael Amann
(7, 8)
,
Rohit Bakshi
(9)
,
Antje Bischof
(10)
,
Alessandro Carriero
(11)
,
Manuel Comabella
(12)
,
Jason C. Crane
(13)
,
Sandra d'Alfonso
(14)
,
Philippe Demaerel
(15)
,
Benedicte Dubois
(16)
,
Massimo Filippi
(17)
,
Vinzenz Fleischer
(18, 19)
,
Bertrand Fontaine
(20)
,
Laura Gaetano
(7, 8)
,
An Goris
(16)
,
Christiane Graetz
(19)
,
Adriane Gröger
(19)
,
Sergiu Groppa
(19)
,
David A. Hafler
(21)
,
Hanne F. Harbo
(22)
,
Bernhard Hemmer
(23, 24)
,
Kesshi Jordan
(2, 1)
,
Ludwig Kappos
(7)
,
Gina Kirkish
(13)
,
Sara Llufriu
(25)
,
Stefano Magon
(7, 8)
,
Filippo Martinelli-Boneschi
(26)
,
Jacob L. Mccauley
(27)
,
Xavier Montalban
(8, 12)
,
Mark Mühlau
(23, 28)
,
Daniel Pelletier
(21)
,
Pradip M. Pattany
(29)
,
Margaret Pericak-Vance
(27)
,
Isabelle Cournu-Rebeix
(20)
,
Maria A. Rocca
(26)
,
Alex Rovira
(12)
,
Regina Schlaeger
(2, 7, 10)
,
Albert Saiz
(27)
,
Till Sprenger
(30)
,
Alessandro Stecco
(31)
,
Bernard M.J. Uitdehaag
(32)
,
Pablo Villoslada
(2, 25)
,
Mike P. Wattjes
(32)
,
Howard Weiner
(9)
,
Jens Wuerfel
(4, 8)
,
Claus Zimmer
(33)
,
Frauke Zipp
(19)
,
Stephen L. Hauser
(2)
,
Jorge R. Oksenberg
(2)
,
Roland G. Henry
(1, 2, 13)
1
Bioengineering Graduate Program (joint degree with UCSF)
2 Department of Neurology [San Francisco]
3 Max Delbrueck Centre for Molecular Medicine
4 NeuroCure Clinical Research Center and Clinical and Experimental Multiple Sclerosis Research Center
5 Department of Radiology and Nuclear Medicine
6 Department of Biostatistics and Epidemiology [Philadelphia]
7 Department of Neurology [Suisse]
8 MIAC AG - Medical Image Analysis Center
9 Brigham and Women's Hospital [Boston]
10 Clinical Immunology
11 Department of Translational Medicine
12 Vall d'Hebron University Hospital [Barcelona]
13 Department of Radiology and Biomedical Imaging [San Francisco]
14 Department of Health Sciences, UPO University
15 Department of Radiology[Leuven]
16 Department of Neurosciences Leuven
17 Institute of Experimental Neurology, Milan
18 JGU - Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University
19 Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI)
20 ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
21 Departments of Neurology and Immunobiology [Yale]
22 Department of Neurology [Oslo]
23 MRI TUM - Klinikum rechts der Isar
24 SyNery - Munich Cluster of Systems Neurology
25 Center for Neuroimmunology, Service of Neurology
26 Neuroimaging Research Unit, Scientific Institute and University Hospital San Raffaele, Milan
27 John P. Hussman Institute for Human Genomics
28 TUM - Technische Universität Munchen - Technical University Munich - Université Technique de Munich
29 Department of Radiology [Miami]
30 DKD Helios Klinik Wiesbaden
31 Section of Neuroradiology [Novara]
32 VU University Medical Center [Amsterdam]
33 Dept Neuroradiology [Munich]
2 Department of Neurology [San Francisco]
3 Max Delbrueck Centre for Molecular Medicine
4 NeuroCure Clinical Research Center and Clinical and Experimental Multiple Sclerosis Research Center
5 Department of Radiology and Nuclear Medicine
6 Department of Biostatistics and Epidemiology [Philadelphia]
7 Department of Neurology [Suisse]
8 MIAC AG - Medical Image Analysis Center
9 Brigham and Women's Hospital [Boston]
10 Clinical Immunology
11 Department of Translational Medicine
12 Vall d'Hebron University Hospital [Barcelona]
13 Department of Radiology and Biomedical Imaging [San Francisco]
14 Department of Health Sciences, UPO University
15 Department of Radiology[Leuven]
16 Department of Neurosciences Leuven
17 Institute of Experimental Neurology, Milan
18 JGU - Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University
19 Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI)
20 ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
21 Departments of Neurology and Immunobiology [Yale]
22 Department of Neurology [Oslo]
23 MRI TUM - Klinikum rechts der Isar
24 SyNery - Munich Cluster of Systems Neurology
25 Center for Neuroimmunology, Service of Neurology
26 Neuroimaging Research Unit, Scientific Institute and University Hospital San Raffaele, Milan
27 John P. Hussman Institute for Human Genomics
28 TUM - Technische Universität Munchen - Technical University Munich - Université Technique de Munich
29 Department of Radiology [Miami]
30 DKD Helios Klinik Wiesbaden
31 Section of Neuroradiology [Novara]
32 VU University Medical Center [Amsterdam]
33 Dept Neuroradiology [Munich]
Manuel Comabella
- Fonction : Auteur
- PersonId : 777920
- ORCID : 0000-0002-2373-6657
Bertrand Fontaine
- Fonction : Auteur
- PersonId : 758782
- ORCID : 0000-0003-4449-8683
Bernhard Hemmer
- Fonction : Auteur
- PersonId : 764412
- ORCID : 0000-0001-5985-6784
Mark Mühlau
- Fonction : Auteur
- PersonId : 777921
- ORCID : 0000-0002-9545-2709
Alessandro Stecco
- Fonction : Auteur
- PersonId : 777922
- ORCID : 0000-0002-0712-7595
Frauke Zipp
- Fonction : Auteur
- PersonId : 777923
- ORCID : 0000-0002-1231-1928
Résumé
A concern for researchers planning multisite studies is that scanner and T1-weighted sequence-related biases on regional volumes could overshadow true effects, especially for studies with a heterogeneous set of scanners and sequences. Current approaches attempt to harmonize data by standardizing hardware, pulse sequences, and protocols, or by calibrating across sites using phantom-based corrections to ensure the same raw image intensities. We propose to avoid harmonization and phantom-based correction entirely. We hypothesized that the bias of estimated regional volumes is scaled between sites due to the contrast and gradient distortion differences between scanners and sequences. Given this assumption, we provide a new statistical framework and derive a power equation to define inclusion criteria for a set of sites based on the variability of their scaling factors. We estimated the scaling factors of 20 scanners with heterogeneous hardware and sequence parameters by scanning a single set of 12 subjects at sites across the United States and Europe. Regional volumes and their scaling factors were estimated for each site using Freesurfer's segmentation algorithm and ordinary least squares, respectively. The scaling factors were validated by comparing the theoretical and simulated power curves, performing a leave-one-out calibration of regional volumes, and evaluating the absolute agreement of all regional volumes between sites before and after calibration. Using our derived power equation, we were able to define the conditions under which harmonization is not necessary to achieve 80% power. This approach can inform choice of processing pipelines and outcome metrics for multisite studies based on scaling factor variability across sites, enabling collaboration between clinical and research institutions.
Domaines
Imagerie médicale
Origine : Publication financée par une institution
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