Comparison of Biexponential and Monoexponential Model of Diffusion Weighted Imaging in Evaluation of Renal Lesions
Author:
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Reference30 articles.
1. Diagnostic value of MR imaging in comparison to CT in the detection and differential diagnosis of renal masses: ROC analysis
2. Combined gadolinium-enhanced and fat-saturation MR imaging of renal masses.
3. Gadolinium and nephrogenic systemic fibrosis
4. Nephrogenic Systemic Fibrosis: Risk Factors and Incidence Estimation
5. Nephrogenic systemic fibrosis (NSF): a late adverse reaction to some of the gadolinium based contrast agents
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