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Brain
Differential Diagnosis
Veins, Venous Sinuses
Modality-Specific Imaging Findings
GRE/SWI Venous Abnormalities
GRE/SWI Venous Abnormalities
Miriam E. Peckham, MD
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DIFFERENTIAL DIAGNOSIS

    ESSENTIAL INFORMATION

    • Helpful Clues for Common Diagnoses

      • Helpful Clues for Less Common Diagnoses

        • Helpful Clues for Rare Diagnoses

          Selected References

          1. Dempfle AK et al: Longitudinal Volume Quantification of Deep Medullary Veins in Patients with Cerebral Venous Sinus Thrombosis : Venous Volume Assessment in Cerebral Venous Sinus Thrombosis Using SWI. Clin Neuroradiol. ePub, 2017
          2. Hsu CC et al: Susceptibility weighted imaging in acute cerebral ischemia: review of emerging technical concepts and clinical applications. Neuroradiol J. 30(2):109-119, 2017
          3. Payabvash S et al: Prominent cortical and medullary veins on susceptibility-weighted images of acute ischaemic stroke. Br J Radiol. 89(1068):20160714, 2016
          4. Chen CY et al: Prominent vessel sign on susceptibility-weighted imaging in acute stroke: prediction of infarct growth and clinical outcome. PLoS One. 10(6):e0131118, 2015
          5. Chaudhry US et al: Susceptibility-Weighted MR Imaging: A Better Technique in the Detection of Capillary Telangiectasia Compared with T2* Gradient-Echo. AJNR Am J Neuroradiol. 35(12):2302-5, 2014
          6. Tong KA et al: Susceptibility-weighted MR imaging: a review of clinical applications in children. AJNR Am J Neuroradiol. 29(1):9-17, 2008
          7. El-Koussy M et al: Susceptibility-weighted MR imaging for diagnosis of capillary telangiectasia of the brain. AJNR Am J Neuroradiol. 33(4):715-20, 2012
          8. Park MG et al: Multiple hypointense vessels on susceptibility-weighted imaging in acute ischemic stroke: surrogate marker of oxygen extraction fraction in penumbra? Cerebrovasc Dis. 38(4):254-61, 2014
          9. Leach JL et al: Cerebral venous thrombus signal intensity and susceptibility effects on gradient recalled-echo MR imaging. AJNR Am J Neuroradiol. 28(5):940-5, 2007
          Related Anatomy
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          References
          Tables

          Tables

          DIFFERENTIAL DIAGNOSIS

            ESSENTIAL INFORMATION

            • Helpful Clues for Common Diagnoses

              • Helpful Clues for Less Common Diagnoses

                • Helpful Clues for Rare Diagnoses

                  Selected References

                  1. Dempfle AK et al: Longitudinal Volume Quantification of Deep Medullary Veins in Patients with Cerebral Venous Sinus Thrombosis : Venous Volume Assessment in Cerebral Venous Sinus Thrombosis Using SWI. Clin Neuroradiol. ePub, 2017
                  2. Hsu CC et al: Susceptibility weighted imaging in acute cerebral ischemia: review of emerging technical concepts and clinical applications. Neuroradiol J. 30(2):109-119, 2017
                  3. Payabvash S et al: Prominent cortical and medullary veins on susceptibility-weighted images of acute ischaemic stroke. Br J Radiol. 89(1068):20160714, 2016
                  4. Chen CY et al: Prominent vessel sign on susceptibility-weighted imaging in acute stroke: prediction of infarct growth and clinical outcome. PLoS One. 10(6):e0131118, 2015
                  5. Chaudhry US et al: Susceptibility-Weighted MR Imaging: A Better Technique in the Detection of Capillary Telangiectasia Compared with T2* Gradient-Echo. AJNR Am J Neuroradiol. 35(12):2302-5, 2014
                  6. Tong KA et al: Susceptibility-weighted MR imaging: a review of clinical applications in children. AJNR Am J Neuroradiol. 29(1):9-17, 2008
                  7. El-Koussy M et al: Susceptibility-weighted MR imaging for diagnosis of capillary telangiectasia of the brain. AJNR Am J Neuroradiol. 33(4):715-20, 2012
                  8. Park MG et al: Multiple hypointense vessels on susceptibility-weighted imaging in acute ischemic stroke: surrogate marker of oxygen extraction fraction in penumbra? Cerebrovasc Dis. 38(4):254-61, 2014
                  9. Leach JL et al: Cerebral venous thrombus signal intensity and susceptibility effects on gradient recalled-echo MR imaging. AJNR Am J Neuroradiol. 28(5):940-5, 2007