Validation of brain parenchyma sonography as a marker of neurodegeneration in multiple sclerosis

Levi C, Selmes C, Chambers B. Transcranial ultrasound: clinical applications in cerebral ischaemia. Aust Prescr. 2001;24:137–40.

Article  Google Scholar 

Berg D, Becker G, Zeiler B, Tucha O, Hofmann E, Preier M, et al. Vulnerability of the nigrostriatal system as detected by transcranial ultrasound. Neurology. 1999;53:1026–31.

Article  CAS  PubMed  Google Scholar 

Walter U, Behnke S, Eyding J, Niehaus L, Postert T, Seidel G, et al. Transcranial brain parenchyma sonography in movement disorders: state of the art. Ultrasound Med Biol. 2007;33:15–25.

Article  PubMed  Google Scholar 

Walter U, Školoudík D. Transcranial sonography (TCS) of brain parenchyma in movement disorders: quality standards, diagnostic applications and novel technologies. Ultraschall der Medizin Eur J Ultrasound. 2014;35:322–31.

Article  CAS  Google Scholar 

Stern MB. Introductory remarks on the history and current applications of TCS. Int Rev Neurobiol. 2010;90:2–5.

Article  PubMed  Google Scholar 

Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, Fujihara K, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011;69:292–302.

Article  PubMed  PubMed Central  Google Scholar 

Godau J, Schweitzer KJ, Liepelt I, Gerloff C, Berg D. Substantia nigra hypoechogenicity: definition and findings in restless legs syndrome. Mov Disord. 2007;22:187–92.

Article  PubMed  Google Scholar 

Godau J, Wevers A-K, Gaenslen A, Di Santo A, Liepelt I, Gasser T, et al. Sonographic abnormalities of brainstem structures in restless legs syndrome. Sleep Med. 2008;9:782–9.

Article  PubMed  Google Scholar 

Schmidauer C, Sojer M, Seppi K, Stockner H, Högl B, Biedermann B, et al. Transcranial ultrasound shows nigral hypoechogenicity in restless legs syndrome. Ann Neurol. 2005;58:630–4.

Article  PubMed  Google Scholar 

Dalton CM. Early development of multiple sclerosis is associated with progressive grey matter atrophy in patients presenting with clinically isolated syndromes. Brain. 2004;127:1101–7.

Article  PubMed  Google Scholar 

Bermel RA, Bakshi R. The measurement and clinical relevance of brain atrophy in multiple sclerosis. Lancet Neurol. 2006;5:158–70.

Article  PubMed  Google Scholar 

Muller M, Esser R, Kotter K, Voss J, Muller A, Stellmes P. Third ventricular enlargement in early stages of multiple sclerosis is a predictor of motor and neuropsychological deficits: a cross-sectional study. BMJ Open. 2013;3:e003582–e003582.

Article  PubMed  PubMed Central  Google Scholar 

Muller M, Esser R, Kötter K, Voss J, Muller A, Stellmes P. Width of 3. Ventricle: reference values and clinical relevance in a cohort of patients with relapsing remitting multiple sclerosis. Open Neurol J. 2013;7:11–6.

Article  PubMed  PubMed Central  Google Scholar 

Calabrese M, Reynolds R, Magliozzi R, Castellaro M, Morra A, Scalfari A, et al. Regional distribution and evolution of gray matter damage in different populations of multiple sclerosis patients. PLoS ONE. 2015;10:1–12.

Article  Google Scholar 

Fisher E, Lee J-C, Nakamura K, Rudick RA. Gray matter atrophy in multiple sclerosis: a longitudinal study. Ann Neurol. 2008;64:255–65.

Article  PubMed  Google Scholar 

Geurts JJ, Barkhof F. Grey matter pathology in multiple sclerosis. Lancet Neurol. 2008;7:841–51.

Article  PubMed  Google Scholar 

Fisniku LK, Chard DT, Jackson JS, Anderson VM, Altmann DR, Miszkiel KA, et al. Gray matter atrophy is related to long-term disability in multiple sclerosis. Ann Neurol. 2008;64:247–54.

Article  PubMed  Google Scholar 

Chard D, Miller D. Grey matter pathology in clinically early multiple sclerosis: evidence from magnetic resonance imaging. J Neurol Sci. 2009;282:5–11.

Article  PubMed  Google Scholar 

Walter U, Wagner S, Horowski S, Benecke R, Zettl UK. Transcranial brain sonography findings predict disease progression in multiple sclerosis. Neurology. 2009;73:1010–7.

Article  CAS  PubMed  Google Scholar 

Haider L, Simeonidou C, Steinberger G, Hametner S, Grigoriadis N, Deretzi G, et al. Multiple sclerosis deep grey matter: the relation between demyelination, neurodegeneration, inflammation and iron. J Neurol Neurosurg Psychiatry. 2014;85:1386–95.

Article  PubMed  Google Scholar 

Stankiewicz J, Panter SS, Neema M, Arora A, Batt CE, Bakshi R. Iron in chronic brain disorders: Imaging and neurotherapeutic implications. Neurotherapeutics. 2007;4:371–86.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hill MJ. Iron and proteins of iron metabolism in the central nervous system. In: Ponka P, Schulman HM, Woodworth RC, Richter GW, editors. Iron transport and storage illustrate. Milton Park: Taylor and Francis; 1990. p. 316–27.

Google Scholar 

Blazejewska AI, Al-Radaideh AM, Wharton S, Lim SY, Bowtell RW, Constantinescu CS, Gowland PA. Increase in the iron content of the substantia nigra and red nucleus in multiple sclerosis and clinically isolated syndrome: a 7 Tesla MRI study. J Magn Reson Imaging. 2015;41:1065–70.

Article  PubMed  Google Scholar 

Jang SH, Kwon HG. Change of neural connectivity of the red nucleus in patients with striatocapsular hemorrhage: a diffusion tensor tractography study. Neural Plast. 2015;2015:10–2.

Article  Google Scholar 

Henry RG, Shieh M, Amirbekian B, Chung S, Okuda DT, Pelletier D. Connecting white matter injury and thalamic atrophy in clinically isolated syndromes. J Neurol Sci. 2009;282:61–6.

Article  PubMed  Google Scholar 

Houtchens MK, Benedict RHB, Killiany R, Sharma J, Jaisani Z, Singh B, et al. Thalamic atrophy and cognition in multiple sclerosis. Neurology. 2007;69:1213–23.

Article  CAS  PubMed  Google Scholar 

Huang Y-W, Jeng J-S, Tsai C-F, Chen L-L, Wu R-M. Transcranial imaging of substantia nigra hyperechogenicity in a Taiwanese cohort of Parkinson’s disease. Mov Disord. 2007;22:550–5.

Article  PubMed  Google Scholar 

Kim JY, Kim ST, Jeon SH, Lee WY. Midbrain transcranial sonography in Korean patients with Parkinson’s disease. Mov Disord. 2007;22:1922–6.

Article  PubMed  Google Scholar 

Mehnert S, Reuter I, Schepp K, Maaser P, Stolz E, Kaps M. Transcranial sonography for diagnosis of Parkinson’s disease. BMC Neurol. 2010;10:9.

Article  PubMed  PubMed Central  Google Scholar 

Becker G, Becker T, Struck M, Lindner A, Burzer K, Retz W, et al. Reduced echogenicity of brainstem raphe specific to unipolar depression: a transcranial color-coded real-time sonography study. Biol Psychiatry. 1995;38:180–4.

Article  CAS  PubMed  Google Scholar 

Stüber C, Pitt D, Wang Y. Iron in multiple sclerosis and its noninvasive imaging with quantitative susceptibility mapping. Int J Mol Sci. 2016;17:100.

Article  PubMed  PubMed Central  Google Scholar 

Rub U, Del Tredici K, Schultz C, Thal DR, Braak E, Braak H. The evolution of Alzheimer’s disease-related cytoskeletal pathology in the human raphe nuclei. Neuropathol Appl Neurobiol. 2000;26:553–67.

Article  CAS  PubMed  Google Scholar 

Sailer M, Fischl B, Salat D, Tempelmann C, Schönfeld Ariel M, Busa E, et al. Focal thinning of the cerebral cortex in multiple sclerosis. Brain. 2003;126:1734–44.

Article  PubMed  Google Scholar 

Berg D, Mäurer M, Warmuth-Metz M, Rieckmann P, Becker G. The correlation between ventricular diameter measured by transcranial sonography and clinical disability and cognitive dysfunction in patients with multiple sclerosis. Arch Neurol. 2000;57:1289–92.

Article  CAS  PubMed  Google Scholar 

Kallmann B-A, Sauer J, Schließer M, Warmuth-Metz M, Flachenecker P, Becker G, et al. Determination of ventricular diameters in multiple sclerosis patients with transcranial sonography (TCS). J Neurol. 2004;251:30–4.

Article  PubMed  Google Scholar 

Miller DH. Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance. Brain. 2002;125:1676–95.

Article  PubMed  Google Scholar 

Radue EW, Bendfeldt K, Mueller-Lenke N, Magon S, Sprenger T. Brain atrophy: an in-vivo measure of disease activity in multiple sclerosis. Swiss Med Wkly. 2013;143:1–11.

Google Scholar 

Taylor JS, Reddick W. Dynamic contrast-enhanced mr imaging in musculoskeletal tumors. In: Jackson A, Buckley DL, Parker GJM, editors. Dynamic contrast-enhanced magnetic resonance imaging in oncology. Berlin: Springer; 2005. p. 215–37.

Chapter  Google Scholar 

Ajitomi S, Fujimori J, Nakashima I. Usefulness of two-dimensional measurements for the evaluation of brain volume and disability in multiple sclerosis. Mult Scler J Exp Transl Clin. 2022;8(1):20552173211070748.

PubMed  PubMed Central  Google Scholar 

Comments (0)

No login
gif