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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleAdult Brain
Open Access

Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis

R.T. Shinohara, J. Oh, G. Nair, P.A. Calabresi, C. Davatzikos, J. Doshi, R.G. Henry, G. Kim, K.A. Linn, N. Papinutto, D. Pelletier, D.L. Pham, D.S. Reich, W. Rooney, S. Roy, W. Stern, S. Tummala, F. Yousuf, A. Zhu, N.L. Sicotte, R. Bakshi and the NAIMS Cooperative
American Journal of Neuroradiology August 2017, 38 (8) 1501-1509; DOI: https://doi.org/10.3174/ajnr.A5254
R.T. Shinohara
aFrom the Departments of Biostatistics and Epidemiology (R.T.S., K.A.L.)
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J. Oh
cDepartment of Neurology (J.O., P.A.C., D.S.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland
dSt. Michael's Hospital (J.O.), University of Toronto, Toronto, Ontario, Canada
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G. Nair
eTranslational Neuroradiology Section (G.N., D.S.R.), National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
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P.A. Calabresi
cDepartment of Neurology (J.O., P.A.C., D.S.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland
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C. Davatzikos
bRadiology (C.D., J.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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J. Doshi
bRadiology (C.D., J.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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R.G. Henry
fDepartment of Neurology (R.G.H., N.P., W.S., A.Z.), University of California, San Francisco, San Francisco, California
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  • ORCID record for R.G. Henry
G. Kim
gLaboratory for Neuroimaging Research (G.K., S.T., F.Y., R.B.), Partners Multiple Sclerosis Center
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K.A. Linn
aFrom the Departments of Biostatistics and Epidemiology (R.T.S., K.A.L.)
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N. Papinutto
fDepartment of Neurology (R.G.H., N.P., W.S., A.Z.), University of California, San Francisco, San Francisco, California
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D. Pelletier
iDepartment of Neurology (D.P.), Yale Medical School, New Haven, Connecticut
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D.L. Pham
jHenry M. Jackson Foundation for the Advancement of Military Medicine (D.L.P., S.R.), Bethesda, Maryland
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D.S. Reich
cDepartment of Neurology (J.O., P.A.C., D.S.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland
eTranslational Neuroradiology Section (G.N., D.S.R.), National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
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W. Rooney
kAdvanced Imaging Research Center, Oregon Health & Science University (W.R.), Portland, Oregon
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S. Roy
jHenry M. Jackson Foundation for the Advancement of Military Medicine (D.L.P., S.R.), Bethesda, Maryland
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W. Stern
fDepartment of Neurology (R.G.H., N.P., W.S., A.Z.), University of California, San Francisco, San Francisco, California
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S. Tummala
gLaboratory for Neuroimaging Research (G.K., S.T., F.Y., R.B.), Partners Multiple Sclerosis Center
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F. Yousuf
gLaboratory for Neuroimaging Research (G.K., S.T., F.Y., R.B.), Partners Multiple Sclerosis Center
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A. Zhu
fDepartment of Neurology (R.G.H., N.P., W.S., A.Z.), University of California, San Francisco, San Francisco, California
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N.L. Sicotte
lDepartment of Neurology (N.L.S.), Cedars-Sinai Medical Center, Los Angeles, California
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R. Bakshi
gLaboratory for Neuroimaging Research (G.K., S.T., F.Y., R.B.), Partners Multiple Sclerosis Center
hDepartments of Neurology and Radiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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ma complete list of the NAIMS participants is provided in the “Acknowledgments.”
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    Fig 1.

    Manually measured T1 (red) and T2 (blue) lesion volumes for scan-rescan pairs at each of 7 NAIMS sites. Results from the baseline scan, acquired on the same Skyra scanner and subsequent imaging acquired at the National Institutes of Health, are shown with circles. Points have been slightly offset relative to one another for ease of visualization. UCSF indicates University of California, San Francisco; JHU, Johns Hopkins University; OHSU, Oregon Health & Science University.

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    Fig 2.

    Comparison of manual segmentation of cerebral T2 hyperintense lesions at 4 NAIMS sites. 3T MR imaging scans on Siemens scanners from a single subject with multiple sclerosis showing T2 hyperintense lesions from sagittal fluid-attenuated inversion recovery sequences from 4 different North American Imaging in Multiple Sclerosis Cooperative sites and scanner models: Brigham and Women's Hospital, Skyra; National Institutes of Health, Skyra; Oregon Health & Science University (OHSU), Tim Trio; Cedars-Sinai, Verio. The upper panel shows the native images. The lower panel shows zoomed and cropped images to illustrate the key findings. The green arrow (lower panel) shows a possible lesion detected and traced on the National Institutes of Health scan; the red arrow shows the same lesion not detected by the expert procedure on the Brigham and Women's Hospital scan. The purple arrow shows a similar tubular area interpreted as a blood vessel on the Cedars-Sinai scan, which was not selected as a lesion by the expert tracing; no lesion was detected on the Oregon Health & Science University scan in this area on this section or any of the adjacent sections (not shown). The blue arrow shows a different lesion detected and traced on the Brigham and Women's Hospital, National Institutes of Health, and Cedars-Sinai scans but not detected by the expert review on the Oregon Health & Science University scan, appearing hazy/subtle (white arrow). The yellow arrow (upper panel) shows a lesion on all scans; however, when we added the tracing of all sections showing the lesion, the 3D volume of the lesion differed among sites: Brigham and Women's Hospital = 0.059 mL, National Institutes of Health = 0.053 mL, Oregon Health & Science University = 0.033 mL, Cedars-Sinai = 0.053 mL.

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    Fig 3.

    Comparison of manual and automated methods for measuring lesional volume. Scan-rescan imaging is shown by using multiple dots for each site and algorithm. UCSF indicates University of California, San Francisco; JHU, Johns Hopkins University; OHSU, Oregon Health & Science University.

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    Fig 4.

    FSL-FIRST automated segmentation results: thalamus. Representative anatomic section showing segmentation of the thalamus (green) in the single subject. The segmentation maps are overlaid to the original raw 3D T1-weighted images after re-orientation to the axial plane. Segmentation was performed by the fully automated FSL-FIRST pipeline. The scan site and 3T Siemens model are shown for each image. The first 2 scans are from the scan/re-scan at Brigham and Women's Hospital. OHSU indicates Oregon Health & Science University.

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    Fig 5.

    Comparison of automated methods for measuring thalamic volume. Scan-rescan imaging is shown by using multiple dots for each site and algorithm. UCSF indicates University of California, San Francisco; JHU, Johns Hopkins University; OHSU, Oregon Health & Science University.

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    Fig 6.

    Estimated across-site coefficient of variation for each structure with various methods for volumetric measurement. cGM indicates cortical gray matter; NAWM, normal-appearing white matter; TBV, total brain volume.

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    Fig 7.

    Estimated proportion of variation explained by site for using various segmentation methods for different structures in the brain. cGM indicates cortical gray matter; NAWM, normal-appearing white matter; TBV, total brain volume.

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    Fig 8.

    Negative logarithm (base 10) P value from t tests describing the difference in average volume between Skyra-versus-non-Skyra platforms explained by site with various segmentation methods for different structures in the brain. cGM indicates cortical gray matter; NAWM, normal-appearing white matter; TBV, total brain volume.

Tables

  • Figures
  • 3T brain MRI anatomic acquisition protocolsa

    3D T2 FLAIR3D T1 MPRAGE
    Siemens SkyraSiemens VerioSiemens Tim TrioSiemens SkyraSiemens VerioSiemens Tim Trio
    Operation system versionsyngo MR D13syngo MR B17syngo MR B17syngo MR D13syngo MR B17syngo MR B17
    Coil32 or 64 Channelb32 Channel32 Channel32 or 64 Channelb32 Channel32 Channel
    Acceleration factor for parallel imaging222222
    OrientationSagittalSagittalSagittalSagittalSagittalSagittal
    FOV (cm)25.6 × 25.625.6 × 25.625.6 × 25.625.6 × 25.625.0 × 25.025.0 × 25.0
    Matrix size512 × 512512 × 512512 × 512256 × 256256 × 256256 × 256
    No. of sections176176176176176176
    TR (ms)480048004800190019001900
    TE (ms)3533543552.522.522.52
    Flip angle120°120°120°9°9°9°
    Voxel size (mm)0.5 × 0.5 × 1.00.5 × 0.5 × 1.00.5 × 0.5 × 1.01.0 × 1.0 × 1.00.977 × 0.977 × 1.00.977 × 0.977 × 1.0
    Scan time (min:s)6:537:007:004:154:164:16
    No. of signal averages111111
    • ↵a Each of the 7 sites used 1 of 3 different Siemens scanner models (Skyra, Verio, and Tim Trio), necessitating 3 model-specific protocols for the 2 pulse sequences.

    • ↵b University of California, San Francisco = 64-channel (the other Skyra sites = 32 channel).

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American Journal of Neuroradiology: 38 (8)
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R.T. Shinohara, J. Oh, G. Nair, P.A. Calabresi, C. Davatzikos, J. Doshi, R.G. Henry, G. Kim, K.A. Linn, N. Papinutto, D. Pelletier, D.L. Pham, D.S. Reich, W. Rooney, S. Roy, W. Stern, S. Tummala, F. Yousuf, A. Zhu, N.L. Sicotte, R. Bakshi, the NAIMS Cooperative
Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis
American Journal of Neuroradiology Aug 2017, 38 (8) 1501-1509; DOI: 10.3174/ajnr.A5254

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Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis
R.T. Shinohara, J. Oh, G. Nair, P.A. Calabresi, C. Davatzikos, J. Doshi, R.G. Henry, G. Kim, K.A. Linn, N. Papinutto, D. Pelletier, D.L. Pham, D.S. Reich, W. Rooney, S. Roy, W. Stern, S. Tummala, F. Yousuf, A. Zhu, N.L. Sicotte, R. Bakshi, the NAIMS Cooperative
American Journal of Neuroradiology Aug 2017, 38 (8) 1501-1509; DOI: 10.3174/ajnr.A5254
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