Research ArticleAdult Brain
Open Access
An Automated Statistical Technique for Counting Distinct Multiple Sclerosis Lesions
J.D. Dworkin, K.A. Linn, I. Oguz, G.M. Fleishman, R. Bakshi, G. Nair, P.A. Calabresi, R.G. Henry, J. Oh, N. Papinutto, D. Pelletier, W. Rooney, W. Stern, N.L. Sicotte, D.S. Reich and R.T. Shinohara the North American Imaging in Multiple Sclerosis Cooperative
American Journal of Neuroradiology April 2018, 39 (4) 626-633; DOI: https://doi.org/10.3174/ajnr.A5556
J.D. Dworkin
aFrom the Departments of Biostatistics, Epidemiology, and Informatics (J.D.D., K.A.L., R.T.S.)
K.A. Linn
aFrom the Departments of Biostatistics, Epidemiology, and Informatics (J.D.D., K.A.L., R.T.S.)
I. Oguz
bRadiology (I.O., G.M.F.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
G.M. Fleishman
bRadiology (I.O., G.M.F.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
R. Bakshi
cLaboratory for Neuroimaging Research (R.B.), Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases
dDepartments of Neurology (R.B.)
eRadiology (R.B.), Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
G. Nair
fTranslational Neuroradiology Section (G.N., D.S.R.), National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
P.A. Calabresi
gDepartment of Neurology (P.A.C., J.O., D.S.R.), the Johns Hopkins University School of Medicine, Baltimore, Maryland
R.G. Henry
hDepartment of Neurology (R.G.H., N.P., W.S.), University of California, San Francisco, San Francisco, California
J. Oh
gDepartment of Neurology (P.A.C., J.O., D.S.R.), the Johns Hopkins University School of Medicine, Baltimore, Maryland
iKeenan Research Centre for Biomedical Science (J.O.), St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
N. Papinutto
hDepartment of Neurology (R.G.H., N.P., W.S.), University of California, San Francisco, San Francisco, California
D. Pelletier
jDepartment of Neurology (D.P.), Keck School of Medicine, University of Southern California, Los Angeles, California
W. Rooney
kAdvanced Imaging Research Center (W.R.), Oregon Health & Science University, Portland, Oregon
W. Stern
hDepartment of Neurology (R.G.H., N.P., W.S.), University of California, San Francisco, San Francisco, California
N.L. Sicotte
lDepartment of Neurology (N.L.S.), Cedars-Sinai Medical Center, Los Angeles, California. A complete list of the NAIMS participants is provided in the acknowledgment section.
D.S. Reich
fTranslational Neuroradiology Section (G.N., D.S.R.), National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
gDepartment of Neurology (P.A.C., J.O., D.S.R.), the Johns Hopkins University School of Medicine, Baltimore, Maryland
R.T. Shinohara
aFrom the Departments of Biostatistics, Epidemiology, and Informatics (J.D.D., K.A.L., R.T.S.)

References
- 1.↵
- Radü EW,
- Sahraian MA
- 2.↵
- Barkhof F
- 3.↵
- Popescu V,
- Agosta F,
- Hulst HE, et al
- 4.↵
- Calabresi PA,
- Radue EW,
- Goodin D, et al
- 5.↵
- Thompson AJ,
- Kermode AG,
- MacManus DG, et al
- 6.↵
- Brex PA,
- Ciccarelli O,
- O'Riordan JI, et al
- 7.↵
- Khoury SJ,
- Guttmann CR,
- Orav EJ, et al
- 8.↵
- Rudick RA,
- Lee JC,
- Simon J, et al
- 9.↵
- 10.↵
- Harris JO,
- Frank JA,
- Patronas N, et al
- 11.↵
- 12.↵
- 13.↵
- 14.↵
- Fonov V,
- Evans AC,
- Botteron K, et al
- 15.↵
- Avants B,
- Tustison N,
- Song G, et al
- 16.↵
- Carass A,
- Wheeler MB,
- Cuzzocreo J, et al
- 17.↵
- Shinohara RT,
- Sweeney EM,
- Goldsmith J, et al
- 18.↵
- 19.↵
- Shinohara RT,
- Oh J,
- Nair G, et al
- 20.↵
- Jenkinson M,
- Pechaud M,
- Smith S
- 21.↵
- Valcarcel AN,
- Linn KA,
- Vandekar SN, et al
- 22.↵
- Sweeney EM,
- Shinohara RT,
- Shea CD, et al
- 23.↵
- Papinutto N,
- Bakshi R,
- Bischof A, et al
- 24.↵
- 25.↵
- 26.↵
In this issue
American Journal of Neuroradiology
Vol. 39, Issue 4
1 Apr 2018
Advertisement
J.D. Dworkin, K.A. Linn, I. Oguz, G.M. Fleishman, R. Bakshi, G. Nair, P.A. Calabresi, R.G. Henry, J. Oh, N. Papinutto, D. Pelletier, W. Rooney, W. Stern, N.L. Sicotte, D.S. Reich, R.T. Shinohara
An Automated Statistical Technique for Counting Distinct Multiple Sclerosis Lesions
American Journal of Neuroradiology Apr 2018, 39 (4) 626-633; DOI: 10.3174/ajnr.A5556
0 Responses
An Automated Statistical Technique for Counting Distinct Multiple Sclerosis Lesions
J.D. Dworkin, K.A. Linn, I. Oguz, G.M. Fleishman, R. Bakshi, G. Nair, P.A. Calabresi, R.G. Henry, J. Oh, N. Papinutto, D. Pelletier, W. Rooney, W. Stern, N.L. Sicotte, D.S. Reich, R.T. Shinohara
American Journal of Neuroradiology Apr 2018, 39 (4) 626-633; DOI: 10.3174/ajnr.A5556
Jump to section
Related Articles
- No related articles found.
Cited By...
- Multicenter Automated Central Vein Sign Detection Performs as Well as Manual Assessment for the Diagnosis of Multiple Sclerosis
- Fully Automated Detection of Paramagnetic Rims in Multiple Sclerosis Lesions on 3T Susceptibility-Based MR Imaging
- Do All Patients with Multiple Sclerosis Benefit from the Use of Contrast on Serial Follow-Up MR Imaging? A Retrospective Analysis
- Automated Integration of Multimodal MRI for the Probabilistic Detection of the Central Vein Sign in White Matter Lesions
This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.
More in this TOC Section
Similar Articles
Advertisement