Free water elimination improves test–retest reproducibility of diffusion tensor imaging indices in the brain: A longitudinal multisite study of healthy elderly subjects
Free water elimination (FWE) in brain diffusion MRI has been shown to improve tissue specificity in human white matter characterization both in health and in disease. Relative to the classical diffusion tensor imaging (DTI) model, FWE is also expected to increase sensitivity to microstructural chang...
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| Published in | Human brain mapping Vol. 38; no. 1; pp. 12 - 26 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
John Wiley & Sons, Inc
01.01.2017
Wiley John Wiley and Sons Inc |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Free water elimination (FWE) in brain diffusion MRI has been shown to improve tissue specificity in human white matter characterization both in health and in disease. Relative to the classical diffusion tensor imaging (DTI) model, FWE is also expected to increase sensitivity to microstructural changes in longitudinal studies. However, it is not clear if these two models differ in their test–retest reproducibility. This study compares a bi‐tensor model for FWE with DTI by extending a previous longitudinal‐reproducibility 3T multisite study (10 sites, 7 different scanner models) of 50 healthy elderly participants (55–80 years old) scanned in two sessions at least 1 week apart. We computed the reproducibility of commonly used DTI metrics (FA: fractional anisotropy, MD: mean diffusivity, RD: radial diffusivity, and AXD: axial diffusivity), derived either using a DTI model or a FWE model. The DTI metrics were evaluated over 48 white‐matter regions of the JHU‐ICBM‐DTI‐81 white‐matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE significantly reduced reproducibility errors in most areas tested. In particular, for the FA and MD metrics, there was an average reduction of approximately 1% in the reproducibility error. The reproducibility scores did not significantly differ across sites. This study shows that FWE improves sensitivity and is thus promising for clinical applications, with the potential to identify more subtle changes. The increased reproducibility allows for smaller sample size or shorter trials in studies evaluating biomarkers of disease progression or treatment effects.
Hum Brain Mapp 38:12–26, 2017
. ©
2016 Wiley Periodicals, Inc. |
|---|---|
| AbstractList | Free water elimination (FWE) in brain diffusion MRI has been shown to improve tissue specificity in human white matter characterization both in health and in disease. Relative to the classical diffusion tensor imaging (DTI) model, FWE is also expected to increase sensitivity to microstructural changes in longitudinal studies. However, it is not clear if these two models differ in their test-retest reproducibility. This study compares a bi-tensor model for FWE with DTI by extending a previous longitudinal-reproducibility 3T multisite study (10 sites, 7 different scanner models) of 50 healthy elderly participants (55-80 years old) scanned in two sessions at least 1 week apart. We computed the reproducibility of commonly used DTI metrics (FA: fractional anisotropy, MD: mean diffusivity, RD: radial diffusivity, and AXD: axial diffusivity), derived either using a DTI model or a FWE model. The DTI metrics were evaluated over 48 white-matter regions of the JHU-ICBM-DTI-81 white-matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE significantly reduced reproducibility errors in most areas tested. In particular, for the FA and MD metrics, there was an average reduction of approximately 1% in the reproducibility error. The reproducibility scores did not significantly differ across sites. This study shows that FWE improves sensitivity and is thus promising for clinical applications, with the potential to identify more subtle changes. The increased reproducibility allows for smaller sample size or shorter trials in studies evaluating biomarkers of disease progression or treatment effects. Hum Brain Mapp 38:12-26, 2017. © 2016 Wiley Periodicals, Inc. Free water elimination (FWE) in brain diffusion MRI has been shown to improve tissue specificity in human white matter characterization both in health and in disease. Relative to the classical diffusion tensor imaging (DTI) model, FWE is also expected to increase sensitivity to microstructural changes in longitudinal studies. However, it is not clear if these two models differ in their test-retest reproducibility. This study compares a bi-tensor model for FWE with DTI by extending a previous longitudinal-reproducibility 3T multisite study (10 sites, 7 different scanner models) of 50 healthy elderly participants (55-80 years old) scanned in two sessions at least 1 week apart. We computed the reproducibility of commonly used DTI metrics (FA: fractional anisotropy, MD: mean diffusivity, RD: radial diffusivity, and AXD: axial diffusivity), derived either using a DTI model or a FWE model. The DTI metrics were evaluated over 48 white-matter regions of the JHU-ICBM-DTI-81 white-matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE significantly reduced reproducibility errors in most areas tested. In particular, for the FA and MD metrics, there was an average reduction of approximately 1% in the reproducibility error. The reproducibility scores did not significantly differ across sites. This study shows that FWE improves sensitivity and is thus promising for clinical applications, with the potential to identify more subtle changes. The increased reproducibility allows for smaller sample size or shorter trials in studies evaluating biomarkers of disease progression or treatment effects. Hum Brain Mapp 38:12-26, 2017. (c) 2016 Wiley Periodicals, Inc. Free water elimination (FWE) in brain diffusion MRI has been shown to improve tissue specificity in human white matter characterization both in health and in disease. Relative to the classical diffusion tensor imaging (DTI) model, FWE is also expected to increase sensitivity to microstructural changes in longitudinal studies. However, it is not clear if these two models differ in their test–retest reproducibility. This study compares a bi‐tensor model for FWE with DTI by extending a previous longitudinal‐reproducibility 3T multisite study (10 sites, 7 different scanner models) of 50 healthy elderly participants (55–80 years old) scanned in two sessions at least 1 week apart. We computed the reproducibility of commonly used DTI metrics (FA: fractional anisotropy, MD: mean diffusivity, RD: radial diffusivity, and AXD: axial diffusivity), derived either using a DTI model or a FWE model. The DTI metrics were evaluated over 48 white‐matter regions of the JHU‐ICBM‐DTI‐81 white‐matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE significantly reduced reproducibility errors in most areas tested. In particular, for the FA and MD metrics, there was an average reduction of approximately 1% in the reproducibility error. The reproducibility scores did not significantly differ across sites. This study shows that FWE improves sensitivity and is thus promising for clinical applications, with the potential to identify more subtle changes. The increased reproducibility allows for smaller sample size or shorter trials in studies evaluating biomarkers of disease progression or treatment effects. Hum Brain Mapp 38:12–26, 2017 . © 2016 Wiley Periodicals, Inc. Free water elimination (FWE) in brain diffusion MRI has been shown to improve tissue specificity in human white matter characterization both in health and in disease. Relative to the classical diffusion tensor imaging (DTI) model, FWE is also expected to increase sensitivity to microstructural changes in longitudinal studies. However, it is not clear if these two models differ in their test-retest reproducibility. This study compares a bi-tensor model for FWE with DTI by extending a previous longitudinal-reproducibility 3T multisite study (10 sites, 7 different scanner models) of 50 healthy elderly participants (55-80 years old) scanned in two sessions at least 1 week apart. We computed the reproducibility of commonly used DTI metrics (FA: fractional anisotropy, MD: mean diffusivity, RD: radial diffusivity, and AXD: axial diffusivity), derived either using a DTI model or a FWE model. The DTI metrics were evaluated over 48 white-matter regions of the JHU-ICBM-DTI-81 white-matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE significantly reduced reproducibility errors in most areas tested. In particular, for the FA and MD metrics, there was an average reduction of approximately 1% in the reproducibility error. The reproducibility scores did not significantly differ across sites. This study shows that FWE improves sensitivity and is thus promising for clinical applications, with the potential to identify more subtle changes. The increased reproducibility allows for smaller sample size or shorter trials in studies evaluating biomarkers of disease progression or treatment effects. Hum Brain Mapp 38:12-26, 2017. copyright 2016 Wiley Periodicals, Inc. |
| Author | Marizzoni, Moira Müller, Bernhard Frisoni, Giovanni Picco, Agnese Alessandrini, Franco Albi, Angela Bosch, Beatriz Drevelegas, Antonios Cavaliere, Carlo Floridi, Piero Marra, Camillo Payoux, Pierre Jovicich, Jorge Ranjeva, Jean‐Philippe Tsolaki, Magda Bordet, Régis Nobili, Flavio Mariano Sein, Julien Didic, Mira Tarducci, Roberto Constantinidis, Manos Blin, Oliver Pasternak, Ofer Ferretti, Antonio Caulo, Massimo Bartrés‐Faz, David Zoccatelli, Giada Roccatagliata, Luca Soricelli, Andrea Gros‐Dagnac, Hélène Fiedler, Ute Aiello, Marco Parnetti, Lucilla Rossini, Paolo Maria Bombois, Stephanie Lopes, Renaud Bargalló, Núria Wiltfang, Jens Minati, Ludovico Beltramello, Alberto |
| AuthorAffiliation | 33 Memory Clinic and LANVIE Laboratory of Neuroimaging of Aging University Hospitals and University of Geneva Geneva Switzerland 17 APHM, CHU Timone, Service de Neurologie et Neuropsychologie Marseille France 10 LVR‐Clinic for Psychiatry and Psychotherapy Institutes and Clinics of the University Duisburg‐Essen Essen Germany 12 Department of Neuroradiology IRCSS San Martino University Hospital and IST Genoa Italy 2 Departments of Psychiatry and Radiology Brigham and Women's Hospital, Harvard Medical School Boston MA 5 Department of Neuroradiology and Magnetic Resonance Image core Facility Hospital Clínic de Barcelona, IDIBAPS Barcelona Spain 25 IRCCS SDN Naples Italy 31 Interbalkan Medical Center of Thessaloniki Thessaloniki Greece 28 Medical Physics Unit Perugia General Hospital Perugia Italy 6 Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology Hospital Clínic, and IDIBAPS Barcelona Spain 15 Pharmacology, Assistance Publique—Hôpitaux de Marseille, Aix‐Marseille Unive |
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| ContentType | Journal Article |
| Copyright | 2016 Wiley Periodicals, Inc. 2017 Wiley Periodicals, Inc. Distributed under a Creative Commons Attribution 4.0 International License |
| Copyright_xml | – notice: 2016 Wiley Periodicals, Inc. – notice: 2017 Wiley Periodicals, Inc. – notice: Distributed under a Creative Commons Attribution 4.0 International License |
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| Keywords | free-water imaging brain diffusion tensor imaging longitudinal healthy elderly multisite diffusion MRI test-retest reproducibility MRI substantia-nigra reliability Schizophrenia parkinsons-disease snc tracking cerebral white-matter spatial statistics false discovery rate alzheimers-disease |
| Language | English |
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| SubjectTerms | Aged Aged, 80 and over Aging Anisotropy Bioengineering Brain - diagnostic imaging Computer Science Diffusion Tensor Imaging Female Healthy Volunteers Humans Imaging Imaging, Three-Dimensional Life Sciences Longitudinal Studies Male Medical Imaging Middle Aged Reproducibility of Results Water - metabolism White Matter - diagnostic imaging |
| Title | Free water elimination improves test–retest reproducibility of diffusion tensor imaging indices in the brain: A longitudinal multisite study of healthy elderly subjects |
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