Skip to main content

Advertisement

Log in

Adaptive method for assessment of cerebrospinal fluid outflow conductance

  • Original Article
  • Published:
Medical & Biological Engineering & Computing Aims and scope Submit manuscript

Abstract

Outflow conductance (C out) is important for predicting shunt responsiveness in patients with suspected idiopathic adult hydrocephalus syndrome (IAHS). C out is determined by performing an infusion test into the cerebrospinal fluid system, and the reliability of the test is dependent on the measurement time. The objective of this study was to develop an adaptive signal analysis method to reduce the investigation time, by taking the individual intracranial pressure variations of the patient into consideration. The method was evaluated on 28 patients with suspected IAHS. The results from full time investigations (60 min) were compared to the results of the new algorithm. Applying the new adaptive method resulted in a reduction of mean investigation time by 14.3 ± 5.9 min (mean ± SD), p < 0.01. The reduction of reliability in the C out estimation was found clinically negligible. We thus recommend this adaptive method to be used when performing constant pressure infusion tests.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Andersson N, Malm J, Bäcklund T, Eklund A (2005) Assessment of cerebrospinal fluid outflow conductance using constant-pressure infusion—a method with real time estimation of reliability. Physiol Meas 26:1137–1148

    Article  Google Scholar 

  2. Boon AJ, Tans JT, Delwel EJ, Egeler_Peerdeman SM, Hanlo PW, Wurzer HA, Avezaat CJ, De Jong DA, Gooskens RH, Hermans J (1997) Dutch normal-pressure hydrocephalus study: prediction of outcome after shunting by resistance to outflow of cerebrospinal fluid. J Neurosurg 87:687–693

    Article  Google Scholar 

  3. Borgesen SE, Albeck MJ, Gjerris F, Czosnyka M, Laniewski P (1992) Computerized infusion test compared to steady pressure constant infusion test in measurement of resistance to CSF outflow. Acta Neurochir (Wien) 119:12–16

    Article  Google Scholar 

  4. Borgesen SE, Gjerris F (1982) The predictive value of conductance to outflow of CSF in normal pressure hydrocephalus. Brain 105:65–86

    Article  Google Scholar 

  5. Brockwell PJ, Davis RA (2002) Introduction to time series and forecasting, 2nd edn. Springer, New York

    Google Scholar 

  6. Czosnyka M, Batorski L, Laniewski P, Maksymowicz W, Koszewski W, Zaworski W (1990) A computer system for the identification of the cerebrospinal compensatory model. Acta Neurochir (Wein) 105:112–116

    Article  Google Scholar 

  7. Czosnyka M, Whitehouse H, Smielewski P, Simac S, Pickard JD (1996) Testing of cerebrospinal compensatory reserve in shunted and non-shunted patients: a guide to interpretation based on an observational study. J Neurol Neurosurg Psychiatr 60:549–558

    Google Scholar 

  8. Ekstedt J (1977) CSF hydrodynamic studies in man. 1. Method of constant pressure CSF infusion. J Neurol Neurosurg Psychiatr 40:105–119

    Article  Google Scholar 

  9. Ekstedt J (1978) CSF hydrodynamic studies in man. 2. Normal hydrodynamic variables related to CSF pressure and flow. J Neurol Neurosurg Psychiatr 41:345–353

    Google Scholar 

  10. Kay S, Marple S (1981) Spectrum analysis—a modern perspective. Proc IEEE 69:1380–1417

    Article  Google Scholar 

  11. Kosteljanetz M (1985) Resistance to outflow of cerebrospinal fluid determined by bolus injection technique and constant rate steady state infusion in humans. Neurosurgery 16:336–340

    Article  Google Scholar 

  12. Lundberg N (1960) Continuous recording and control of ventricular fluid pressure in neurosurgical practice. Acta Psychiatr Scand 36(Suppl 149):1–193

    Google Scholar 

  13. Lundkvist B, Eklund A, Kristensen B, Fagerlund M, Koskinen LO, Malm J (2001) Cerebrospinal fluid hydrodynamics after placement of a shunt with an antisiphon device: a long-term study. J Neurosurg 94:750–756

    Article  Google Scholar 

  14. Malm J, Eklund A (2006) Idiopathic normal pressure hydrocephalus. Pract Neurol 6:14–27

    Google Scholar 

  15. Malm J, Kristensen B, Karlsson T, Fagerlund M, Elfverson J, Ekstedt J (1995) The predictive value of cerebrospinal fluid dynamic tests in patients with the idiopathic adult hydrocephalus syndrome. Arch Neurol 52:783–789

    Google Scholar 

  16. Marmarou A, Bergsneider M, Klinge P, Relkin N, Black P (2005) The value of supplemental Prognostic tests for the preoperative assessment of idiopathic normal-pressure hydrocephalus. Neurosurgery 57:17–28

    Article  Google Scholar 

  17. Marmarou A, Young HF, Aygok GA, Sawauchi S, Tsuji O, Yamamoto T, Dunbar J (2005) Diagnosis and management of idiopathic normal-pressure hydrocephalus: a prospective study in 151 patients. Neurosurgery 102:987–997

    Google Scholar 

  18. Marmarou A, Shulman K, Rosende RM (1978) A nonlinear analysis of the cerebrospinal fluid system and intracranial pressure dynamics. J Neurosurg 48:332–344

    Google Scholar 

  19. Meier U, Zeilinger FS, Kintzel D (1999) Diagnostic in normal pressure hydrocephalus: a mathematical model for determination of the ICP-dependent resistance and compliance. Acta Neurochir (Wien) 141:941–947; discussion 947–948

    Google Scholar 

  20. Rosner B (2000) Fundamentals of biostatistics, 5th edn. Duxbury, Pacific Grove

    Google Scholar 

  21. Stephensen H, Andersson N, Eklund A, Malm J, Tisell M, Wikkelsö C (2005) Objective B wave analysis in 55 patients with non-communicating and communicating hydrocephalus. J Neurol Neurosurg Psychiatr 76:965–970

    Article  Google Scholar 

  22. Tans JT, Poortvliet DC (1985) CSF outflow resistance and pressure-volume index determined by steady-state and bolus infusions. Clin Neurol Neurosurg 87:159–165

    Article  Google Scholar 

  23. Van Der Leeuw J (1994) The covariance matrix of ARMA errors in closed form. J Econom 63:397–405

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nina Andersson.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Andersson, N., Malm, J., Wiklund, U. et al. Adaptive method for assessment of cerebrospinal fluid outflow conductance. Med Bio Eng Comput 45, 337–343 (2007). https://doi.org/10.1007/s11517-006-0157-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-006-0157-7

Keywords

Navigation