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Radiological Imaging in Brain Disorders: An Overview

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PET/CT in Brain Disorders

Abstract

The key role of neuroimaging in brain disorders is to assist clinical management by either making a precise diagnosis or providing clinically relevant differential diagnoses. There is a marked diversity of neuropathologies spanning a constellation of conditions including vascular, infectious-inflammatory, degenerative and neoplastic entities, and the clinical presentations can often be quite nonspecific, hence the key role of neuroimaging is formulating a management plan. Cranial ultrasonography (US), Computed Tomography (CT) and Magnetic Resonance (MR) are the currently available modalities of neuroimaging, each with its specific strengths and limitations. Overall, MR Imaging (MRI) is the most useful technique to study the brain, given its higher soft tissue contrast, although CT has a central role still in acute imaging and is also the best technique to investigate for associated bony disorders. Cranial US has a vital role in foetal and neonatal imaging given its bedside ease and the presence of a good acoustic window—the skull foramina in this population. This chapter focuses on those clinical applications of neuroimaging that complement the practice of nuclear medicine with special relevance to CT and MRI.

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References

  1. ACR-ASNR. ACR-ASNR practice guideline for the performance of computed tomography (CT) of the brain. Oak Brook, IL: ACR-ASNR; 2010.

    Google Scholar 

  2. Ellingson BM, Bendszus M, et al. Consensus recommendations for a standardized brain tumor imaging protocol in clinical trial. Neuro Oncol. 2015;17:1188–98.

    Article  Google Scholar 

  3. Welker K, Boxerman J, et al. ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain. Am J Neurorad. 2015;36:E41–51.

    Article  CAS  Google Scholar 

  4. ACR-ASNR. ACR/ASNR practice guideline for the performance and interpretation of magnetic resonance spectroscopy of the central nervous system. Oak Brook, IL: ACR-ASNR; 2010.

    Google Scholar 

  5. Potgieser AR, Wagemakers M. The role of diffusion tensor imaging in brain tumor surgery: a review of the literature. Clin Neurol Neurosurg. 2014;124:51–8.

    Article  Google Scholar 

  6. ACR-ASNR-SPR. ACR-ASNR-SPR practice guideline for the performance of functional magnetic resonance imaging (fMRI) of the brain. Oak Brook, IL: ACR-ASNR; 2012.

    Google Scholar 

  7. (NICE/SCIE) National Institute for Health and Care Excellence/Social Care Institute of Excellence. Dementia: supporting people with dementia and their careers in health and social care. Clinical guideline CG42. London: NICE/SCIE; 2016.

    Google Scholar 

  8. Martin-Macintosh EL, Broski SM, et al. Multimodality Imaging of neurodegenerative processes: part I, the basics and common dementias. AJR. 2016;207:871–82.

    Article  Google Scholar 

  9. Duara R, Loewenstein DA, et al. Medial temporal lobe atrophy on MRI scans and the diagnosis of Alzheimer disease. Neurology. 2008;71:1986–92.

    Article  CAS  Google Scholar 

  10. Josephs KA. Frontotemporal lobar degeneration. Neurol Clin. 2007;25:683–96.

    Article  Google Scholar 

  11. Shams S, Fallmar D, et al. MRI of the swallow tail sign: a useful marker in the diagnosis of Lewy body dementia? AJNR. 2017;38:1737–41.

    Article  CAS  Google Scholar 

  12. (NICE/SCIE) National Institute for Health and Care Excellence/Social Care Institute of Excellence. Parkinson’s disease in adults. Clinical guideline NG71. London: NICE/SCIE; 2017.

    Google Scholar 

  13. Seppi K, Poewe W. Brain magnetic resonance imaging techniques in the diagnosis of parkinsonian syndromes. Neuroimaging Clin N Am. 2010;20:29–55.

    Article  Google Scholar 

  14. Broski SM, Hunt C, et al. Structural and functional imaging in Parkinsonian syndromes. Radiographics. 2014;34:1273–92.

    Article  Google Scholar 

  15. (NICE/SCIE) National Institute for Health and Care Excellence/Social Care Institute of Excellence. Epilepsy: diagnosis and management. Clinical guideline CG137. London: NICE/SCIE; 2016.

    Google Scholar 

  16. Téllez-Zenteno JF, Hernandez Ronquillo A, et al. Surgical outcomes in lesional and non-lesional epilepsy: a systematic review and meta-analysis. Epilepsy Res. 2010;89:310–8.

    Article  Google Scholar 

  17. Friedman E. Epilepsy imaging in adults: getting it right. AJNR. 2014;203:1093–103.

    Google Scholar 

  18. Saini J, Kesavadas C, et al. Susceptibility weighted imaging in the diagnostic evaluation of patients with intractable epilepsy. Epilepsia. 2009;50:1462–73.

    Article  Google Scholar 

  19. Haque S, Law M, et al. Imaging of lymphoma of the central nervous system, spine and orbit. Radiol Clin N Am. 2008;46:339–61.

    Article  Google Scholar 

  20. Akter M, Hirai T, et al. Diffusion-weighted imaging of primary brain lymphomas: effect of ADC value and signal intensity of T2-weighted imaging. Comput Med Imag Graph. 2008;32:539–43.

    Article  Google Scholar 

  21. Nandu H, Wen PY, et al. Imaging in neuro-oncology. Ther Adv Neurol Dis. 2018;11:1–19.

    Article  Google Scholar 

  22. Lee EJ, terBrugge K, et al. Diagnostic value of peritumoral minimum apparent diffusion coefficient for differentiation of glioblastoma multiforme from solitary metastatic lesions. AJR. 2011;196:71–6.

    Article  Google Scholar 

  23. Okada H, Weller M, et al. Immunotherapy response assessment in neurooncology: a report of the RANO working group. Lancet Oncol. 2015;16:e534–42.

    Article  Google Scholar 

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Ferrazzoli, V., Mankad, K. (2019). Radiological Imaging in Brain Disorders: An Overview. In: Fraioli, F. (eds) PET/CT in Brain Disorders. Clinicians’ Guides to Radionuclide Hybrid Imaging(). Springer, Cham. https://doi.org/10.1007/978-3-030-01523-7_2

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  • DOI: https://doi.org/10.1007/978-3-030-01523-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01522-0

  • Online ISBN: 978-3-030-01523-7

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