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References

  • Agid R, Willinsky RA, Farb RI, Terbrugge KG (2008) Life at the end of the tunnel: why emergent CT angiography should be done for patients with acute subarachnoid hemorrhage. AJNR Am J Neuroradiol 29:e45

    Article  PubMed  CAS  Google Scholar 

  • Chen W, Wang J, Xing W et al (2009) Accuracy of 16-row multislice computerized tomography angiography for assessment of intracranial aneurysms. Surg Neuro l71:32–42

    Article  Google Scholar 

  • Fox AJ, Symons SP, Aviv RI (2008) CT angiography is state-of-the-art first vascular imaging for subarachnoid hemorrhage. AJNR Am J Neuroradiol 29:e41–42

    Article  Google Scholar 

  • Lubicz B, Levivier M, François O et al (2007) Sixty-four-row multisection CT angio — graphy for detection and evaluation of ruptured intracranial aneurysms: interobserver and intertechnique reproducibility. AJNR Am J Neuroradiol 28:1949–1955

    Article  PubMed  CAS  Google Scholar 

  • Tomandl BF, Köstner NC, Schempershofe M et al (2004) CT angiography of intracranial aneurysms: a focus on postprocessing. RadioGraphics 24:637–655

    Article  PubMed  Google Scholar 

References

  • Gupta V, Chugh M, Walia BS et al (2008) Use of CT angiography for anatomic localization of arteriovenous malformation Nidal components. AJNR Am J Neuro — radiol 29:1837–1840

    Article  CAS  Google Scholar 

  • Leclerc X, Gauvrit JY, Trystram D et al (2004) Cerebral arteriovenous malformations: value of the non invasive vascular imaging techniques. J Neuroradiol 31:349–358

    Article  PubMed  CAS  Google Scholar 

  • Matsumoto M, Kodama N, Sakuma J et al (2005) 3D-CT arteriography and 3D-CT veno graphy: the separate demonstration of arterial-phase and venous-phase on 3D-CT angio graphy in a single procedure. AJNR Am J Neuroradiol 26:635–641

    PubMed  Google Scholar 

References

  • Camargo EC, Furie KL, Singhal AB et al (2007) Acute brain infarct: detection and delineation with CT angiographic source images versus nonenhanced CT scans. Radiology 244:541–548

    Article  PubMed  Google Scholar 

  • Nguyen-Huynh MN, Wintermark M, English J et al (2008) How accurate is CT angiography in evaluating intracranial atherosclerotic disease? Stroke 39:1184–1188

    Article  PubMed  Google Scholar 

  • Schaefer PW, Yoo AJ, Bell D et al (2008) CT angiography-source image hypo — attenuation predicts clinical outcome in posterior circulation strokes treated with intra-arterial therapy. Stroke 39:3107–3109

    Article  PubMed  Google Scholar 

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References

  • Gaikwad AB, Mudalgi BA, Patankar KB et al (2008) Diagnostic role of 64-slice multidetector row CT scan and CT venogram in cases of cerebral venous thrombosis. Emerg Radiol 15:325–333

    Article  PubMed  Google Scholar 

  • Linn J, Ertl-Wagner B, Seelos KC et al (2007) Diagnostic value of multidetectorrow CT angiography in the evaluation of thrombosis of the cerebral venous sinuses. AJNR Am J Neuroradiol 28:946–952

    PubMed  CAS  Google Scholar 

  • Wasay M, Azeemuddin M (2005) Neuroimaging of cerebral venous thrombosis. J Neuro imaging 15:118–128

    Google Scholar 

References

  • Gaikwad AB, Mudalgi BA, Patankar KB et al (2008) Diagnostic role of 64-slice multidetector row CT scan and CT venogram in cases of cerebral venous thrombosis. Emerg Radiol 15:325–333

    Article  PubMed  Google Scholar 

  • Linn J, Ertl-Wagner B, Seelos KC et al (2007) Diagnostic value of multidetectorrow CT angiography in the evaluation of thrombosis of the cerebral venous sinuses. AJNR Am J Neuroradiol 28:946–952

    PubMed  CAS  Google Scholar 

  • Wasay M, Azeemuddin M (2005) Neuroimaging of cerebral venous thrombosis. J Neuroimaging 15:118–128

    PubMed  Google Scholar 

References

  • Agid R, Willinsky RA, Farb RI, Terbrugge KG (2008) Life at the end of the tunnel: why emergent CT angiography should be done for patients with acute subarachnoid hemorrhage. AJNR Am J Neuroradiol 29:e45

    Article  PubMed  CAS  Google Scholar 

  • Chen W, Wang J, Xing W et al (2009) Accuracy of 16-row multislice computerized tomography angiography for assessment of intracranial aneurysms. Surg Neuro 171:32–42

    Article  Google Scholar 

  • Fox AJ, Symons SP, Aviv RI (2008) CT angiography is state-of-the-art first vascular imaging for subarachnoid hemorrhage. AJNR Am J Neuroradiol 29:e41–42

    Article  Google Scholar 

  • Lubicz B, Levivier M, François O et al (2007) Sixty-four-row multisection CT angio — graphy for detection and evaluation of ruptured intracranial aneurysms: interobserver and intertechnique reproducibility. AJNR Am J Neuroradiol 28:1949–1955

    Article  PubMed  CAS  Google Scholar 

  • Tomandl BF, Köstner NC, Schempershofe M et al (2004) CT angiography of intracranial aneurysms: a focus on postprocessing. RadioGraphics 24:637–655

    Article  PubMed  Google Scholar 

References

  • Agid R, Willinsky RA, Farb RI, Terbrugge KG (2008) Life at the end of the tunnel: why emergent CT angiography should be done for patients with acute subarachnoid hemorrhage. AJNR Am J Neuroradiol 29:e45

    Article  PubMed  CAS  Google Scholar 

  • Chen W, Wang J, Xing W et al (2009) Accuracy of 16-row multislice computerized tomography angiography for assessment of intracranial aneurysms. Surg Neuro 171:32–42

    Article  Google Scholar 

  • Fox AJ, Symons SP, Aviv RI (2008) CT angiography is state-of-the-art first vascular imaging for subarachnoid hemorrhage. AJNR Am J Neuroradiol 29:e41–42

    Article  PubMed  CAS  Google Scholar 

  • Lubicz B, Levivier M, François O et al (2007) Sixty-four-row multisection CT angio — graphy for detection and evaluation of ruptured intracranial aneurysms: interobserver and intertechnique reproducibility. AJNR Am J Neuroradiol 28:1949–1955

    Article  PubMed  CAS  Google Scholar 

  • Tomandl BF, Köstner NC, Schempershofe M et al (2004) CT angiography of intracranial aneurysms: a focus on postprocessing. RadioGraphics 24:637–655

    Article  PubMed  Google Scholar 

References

  • Camargo EC, Furie KL, Singhal AB et al (2007) Acute brain infarct: detection and delineation with CT angiographic source images versus nonenhanced CT scans. Radiology 244:541–548

    Article  PubMed  Google Scholar 

  • Nguyen-Huynh MN, Wintermark M, English J et al (2008) How accurate is CT angio — graphy in evaluating intracranial atherosclerotic disease? Stroke 39:1184–1188

    Article  PubMed  Google Scholar 

  • Schaefer PW, Yoo AJ, Bell D et al (2008) CT angiography-source image hypo — attenuation predicts clinical outcome in posterior circulation strokes treated with intra-arterial therapy. Stroke 39:3107–3109

    Article  PubMed  Google Scholar 

  • Sylaja PN, Puetz V, Dzialowski I et al (2008) Prognostic value of CT angiography in patients with suspected vertebrobasilar ischemia. J Neuroimaging 18:46–49

    Article  PubMed  CAS  Google Scholar 

References

  • de Lucas EM, Sánchez E, Gutiérrez A et al (2008) CT protocol for acute stroke: tips and tricks for general radiologists. RadioGraphics 28:1673–1687

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  • Schaefer PW, Barak ER, Kamalian S et al (2008) Quantitative assessment of core/penumbra mismatch in acute stroke: CT and MR perfusion imaging are strongly correlated when sufficient brain volume is imaged. Stroke 39:2986–2992

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References

  • Gupta V, Chugh M, Walia BS et al (2008) Use of CT angiography for anatomic localization of arteriovenous malformation Nidal components. AJNR Am J Neuro — radiol 29:1837–1840

    Article  CAS  Google Scholar 

  • Leclerc X, Gauvrit JY, Trystram D et al (2004) Cerebral arteriovenous malformations: value of the non invasive vascular imaging techniques. J Neuroradiol 31:349–358

    Article  PubMed  CAS  Google Scholar 

  • Matsumoto M, Kodama N, Sakuma J et al (2005) 3D-CT arteriography and 3D-CT venography: the separate demonstration of arterial-phase and venous-phase on 3D-CT angiography in a single procedure. AJNR Am J Neuroradiol 26:635–641

    PubMed  Google Scholar 

References

  • Gazzola S, Aviv RI, Gladstone DJ et al (2008) Vascular and nonvascular mimics of the CT angiography “spot sign” in patients with secondary intracerebral hemorrhage. Stroke 39:1177–1183

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References

  • Agid R, Willinsky RA, Farb RI, Terbrugge KG (2008) Life at the end of the tunnel: why emergent CT angiography should be done for patients with acute subarachnoid hemorrhage. AJNR Am J Neuroradiol 29:e45

    Article  PubMed  CAS  Google Scholar 

  • Chen W, Wang J, Xing W et al (2009) Accuracy of 16-row multislice computerized tomography angiography for assessment of intracranial aneurysms. Surg Neuro 171:32–42

    Article  Google Scholar 

  • Fox AJ, Symons SP, Aviv RI (2008) CT angiography is state-of-the-art first vascular imaging for subarachnoid hemorrhage. AJNR Am J Neuroradiol 29:e41–42

    Article  PubMed  CAS  Google Scholar 

  • Lubicz B, Levivier M, François O et al (2007) Sixty-four-row multisection CT angiography for detection and evaluation of ruptured intracranial aneurysms: interobserver and intertechnique reproducibility. AJNR Am J Neuroradiol 28:1949–1955

    Article  PubMed  CAS  Google Scholar 

  • Tomandl BF, Köstner NC, Schempershofe M et al (2004) CT angiography of intracranial aneurysms: a focus on postprocessing. RadioGraphics 24:637–655

    Article  PubMed  Google Scholar 

References

  • Gupta V, Chugh M, Walia BS et al (2008) Use of CT angiography for anatomic localization of arteriovenous malformation Nidal components. AJNR Am J Neuroradiol 29:1837–1840

    Article  PubMed  CAS  Google Scholar 

  • Leclerc X, Gauvrit JY, Trystram D et al (2004) Cerebral arteriovenous malformations: value of the non invasive vascular imaging techniques. J Neuroradiol 31:349–358

    Article  PubMed  CAS  Google Scholar 

  • Matsumoto M, Kodama N, Sakuma J et al (2005) 3D-CT arteriography and 3D-CT venography: the separate demonstration of arterial-phase and venous-phase on 3D-CT angiography in a single procedure. AJNR Am J Neuroradiol 26:635–641

    PubMed  Google Scholar 

References

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    PubMed  Google Scholar 

  • Nguyen-Huynh MN, Wintermark M, English J et al (2008) How accurate is CT angiography in evaluating intracranial atherosclerotic disease? Stroke 39:1184–1188

    Article  PubMed  Google Scholar 

References

  • Bash S, Villablanca JP, Jahan R et al (2005) Intracranial vascular stenosis and occlusive disease: evaluation with CT angiography, MR angiography, and digital subtraction angiography. AJNR Am J Neuroradiol 26:1012–1021

    PubMed  Google Scholar 

  • Hirai T, Korogi Y, Ono K et al (2002) Prospective evaluation of suspected stenoocclusive disease of the intracranial artery: combined MR angiography and CT angiography compared with digital subtraction angiography. AJNR Am J Neuroradiol 23:93–101

    PubMed  Google Scholar 

  • Nguyen-Huynh MN, Wintermark M, English J et al (2008) How accurate is CT angiography in evaluating intracranial atherosclerotic disease? Stroke 39:1184–1188

    Article  PubMed  Google Scholar 

References

  • Gaikwad AB, Mudalgi BA, Patankar KB et al (2008) Diagnostic role of 64-slice multidetector row CT scan and CT venogram in cases of cerebral venous thrombosis. Emerg Radiol 15:325–333

    Article  PubMed  Google Scholar 

  • Linn J, Ertl-Wagner B, Seelos KC et al (2007) Diagnostic value of multidetectorrow CT angiography in the evaluation of thrombosis of the cerebral venous sinuses. AJNR Am J Neuroradiol 28:946–952

    PubMed  CAS  Google Scholar 

  • Wasay M, Azeemuddin M (2005) Neuroimaging of cerebral venous thrombosis. J Neuroimaging 15:118–128

    PubMed  Google Scholar 

References

  • Gupta V, Chugh M, Walia BS et al (2008) Use of CT angiography for anatomic localization of arteriovenous malformation Nidal components. AJNR Am J Neuroradiol 29:1837–1840

    Article  PubMed  CAS  Google Scholar 

  • Leclerc X, Gauvrit JY, Trystram D et al (2004) Cerebral arteriovenous malformations: value of the non invasive vascular imaging techniques. J Neuroradiol 31:349–358

    Article  PubMed  CAS  Google Scholar 

  • Matsumoto M, Kodama N, Sakuma J et al (2005) 3D-CT arteriography and 3D-CT venography: the separate demonstration of arterial-phase and venous-phase on 3D-CT angiography in a single procedure. AJNR Am J Neuroradiol 26:635–641

    PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Radiological Sciences, Oncology and Pathology, “Sapienza” University of Rome, Polo Pontino, Latina, Italy

    Andrea Laghi

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  1. Department of Radiological Sciences, Oncology and Pathology, “Sapienza” University of Rome, Polo Pontino, Latina, Italy

    Andrea Laghi

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Laghi, A. (2012). Neuro. In: Laghi, A. (eds) MDCT Protocols. Springer, Milano. https://doi.org/10.1007/978-88-470-2403-8_6

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  • DOI: https://doi.org/10.1007/978-88-470-2403-8_6

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