Research ArticleHead and Neck Imaging
Diffusion-Weighted Imaging of Orbital Masses: Multi-Institutional Data Support a 2-ADC Threshold Model to Categorize Lesions as Benign, Malignant, or Indeterminate
A.R. Sepahdari, L.S. Politi, V.K. Aakalu, H.J. Kim and A.A.K. Abdel Razek
American Journal of Neuroradiology January 2014, 35 (1) 170-175; DOI: https://doi.org/10.3174/ajnr.A3619
A.R. Sepahdari
aFrom the Department of Radiological Sciences (A.R.S., H.J.K.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
L.S. Politi
bDepartment of Neuroradiology (L.S.P.), San Raffaele Institute of Science, Milan, Italy
V.K. Aakalu
cDepartment of Ophthalmology and Visual Sciences (V.K.A.), University of Illinois at Chicago, Chicago, Illinois
H.J. Kim
aFrom the Department of Radiological Sciences (A.R.S., H.J.K.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
A.A.K. Abdel Razek
dDiagnostic Radiology Department (A.A.K.A.R.), Mansoura Faculty of Medicine, Mansoura, Egypt.

Supplemental Online Table
Files in this Data Supplement:
- Online Table (PDF) - Number of lesions by category in published studies
In this issue
American Journal of Neuroradiology
Vol. 35, Issue 1
1 Jan 2014
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A.R. Sepahdari, L.S. Politi, V.K. Aakalu, H.J. Kim, A.A.K. Abdel Razek
Diffusion-Weighted Imaging of Orbital Masses: Multi-Institutional Data Support a 2-ADC Threshold Model to Categorize Lesions as Benign, Malignant, or Indeterminate
American Journal of Neuroradiology Jan 2014, 35 (1) 170-175; DOI: 10.3174/ajnr.A3619
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Diffusion-Weighted Imaging of Orbital Masses: Multi-Institutional Data Support a 2-ADC Threshold Model to Categorize Lesions as Benign, Malignant, or Indeterminate
A.R. Sepahdari, L.S. Politi, V.K. Aakalu, H.J. Kim, A.A.K. Abdel Razek
American Journal of Neuroradiology Jan 2014, 35 (1) 170-175; DOI: 10.3174/ajnr.A3619
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