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Transkaranielle Messung Intraoperativ Extrakranielle Messung Monitoring Funktionstest Dopplersonographie HAL Image Map Transcranial Operativ Excranial Monitoring Function Test Doppler Sonography HAL Image Map


Preservation and monitoring of sufficient brain perfusion is an essential part of anesthesiology and intensive care medicine. Transcranial Doppler Sonography is a non-invasive method, which provides real-time information about the cerebral haemodynamical situation.

For instance, determination of cerebral autoregulation becomes more and more important. In case of impaired autoregulation (e.g. following cranial trauma or stroke) brain perfusion depends increasingly on systemic arterial blood pressure. Thus, patients suffering from impaired cerebral autoregulation are at higher risk of cerebral damage due to systemic hypo- or hyperperfusion than healthy subjects.

From anaesthesiologic view, TCD could not only be used to detect high risk patients preoperatively but also to determine cerebral blood flow (velocity) intraoperative, which, in turn, allows early detection of cerebral hypoperfusion for early and optimal adjustment of narcosis.
At intensive care units, medical doctors can take advantage of these examinations for monitoring of patients suffering from traumatic brain injury or patients at risk of vasospasm development. Some authors conclude that this advantage becomes especially important due to combination of TCD with other neuromonitoring tools.

Newer literature allows an interesting look ahead: it might become possible to assess intracranial pressure by TCD measurements, which could be especially interesting in the setting of intensive care units and emergency rooms. Currently, these studies are still ongoing and conclusive results are pending.


Further information:

Autoregulation (VMR) Intensive Care

The human brain, which is most susceptible to hypoxemia, is dependent on a continuous blood flow supply. There are various regulatory mechanisms (e.g. blood pressure adapted autoregulation, metabolic vaso-motor reactivity or neuro-vascular coupling) to ensure independence from systemic hypo- as well as hypertension by keeping cerebral blood flow (CBF) steadily within a wide range of systemic blood pressure variations (mean arterial pressure between 60-150 mmHg). (N. Thölen, 2009)

Failure of these regulatory mechanisms can be caused e.g. by stenosis of the common carotid artery and thereby increase the risk for ischemic strokes.


The term of “cerebral regulatory mechanisms” includes different human body abilities. All have the common aim to keep the CBF steadily independent from variant factors like pH-value or blood pressure variations. This ensures an energy supply with important substrates like glucose and oxygen. In a sense, the term of “cerebral autoregulation” (cAR) means the blood pressure adapted autoregulation. [Ringelstein et al. 1988].

Bayliss and Hagen Poiseulle

cAR relies on the “Bayliss Effect”, which can be seen not only in brain tissue but also in peripheral tissues, like muscles. Bayliss effect means the reaction of vascular musculature, in particular capillary arteries (majorly account for peripheral resistance), on variations of blood pressure (BP). In case of increasing BP capillary smooth muscles contract whereas decreasing BP causes relaxation. Based on the principle of Hagen-Poiseulle, the radius of vascular lumen is responsible for the majority of peripheral resistance and thereby also for CBF, it is therefor possible to keep CBF independently steady from systemic blood pressure variation.

Not before mean BP transcends the range of about 60-150 mmHg, the vascular lumen follows blood pressure in a passive manner, which causes in case of increased BP a clinical relevant vascular dilatation [Immink et al. 2004]. Thus, a resulting hyperperfusion can possibly damage the blood-brain barrier towards cerebral oedema [Paulson 2002].
It has been shown that following traumatic brain injury such a pressure-passive vasodilatation can occur even within the physiological range of autoregulation. This damage can extend to complete vascular paralysis, which results in massive hyperperfusion [Vajramani et al. 1999].
A working autoregulation is clinically relevant in case of ischemic strokes, intracerebral bleeding, traumatic brain injury as well as occlusions or significant stenosis of the internal carotid artery.

Determination of cerebral autoregulation using TCD

One of various methods to assess the cAR is determination the cross-correlation coefficient Mx using TCD measurements. Alternatively determination would be possible using PET (positron emission tomography). Since TCD operates without irradiation, this method is preferred in clinical routine. Mx means the correlation between mean cerebral blood flow velocity (CBFV) and intracerebral perfusion pressure (CPP). So far, CPP could only been determined using invasive pressure probes. It has been shown that the use of arterial derived BP values is alternatively possible [Piechnik et al. 1999; Lavinio et al. 2007]. Using plethysmography (e.g. CNAP) it is possible to derive continuous noninvasive blood pressure values.

Mx values can vary in a range of -1 and 1. A correlation of 1 or -1 implies a disordered autoregulation whereas a correlation of 0 implies working autoregulation [Reinhard et al. 2003]. Literature references a threshold of >0,3 for relevant disorders of autoregulation [Lang et.al. 2008; Soehle et al. 2004].

A study of Reinhard et al. (2003) showed that Mx correlated positively with a phase difference, which also allows assessment of cAR using TCD (N. Thoele, 2009).

Determination of cerebral autoregulation using TCD

Determination of dynamic cerebral autoregulation, using Doppler monitoring in a 59 year old female patient with left ICA occlusion. Left: Row data of arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV). Right: Example shows basis of Mx calculation. Pearson-correlation of short segments on mean ABP and mean CBFV over a period of 1 minute, reveals a correlation of CBFV and ABP ipsilaterally. A positive correlation indicates a disordered cAR. Contralaterally to the occlusion the CBFV does not show a positive correlation (missing correlation = working autoregulation). Averaging of these Pearson coefficients reveals the index Mx.

Provided the presumption of completely disordered cerebral autoregulation, an increase or decrease of cardiac output directly correlates with cerebral perfusion. This becomes significantly relevant in treatment of antihypertensive treatment following stroke.

Cerebral autoregulation and anesthesia. Dagal und Lam, 2009.
  • Continuous measurement of autoregulation during narcosis as a method to detect neurological complications in high risk patients.

Effects of poor bone window on the assessment of cerebral autoregulation with transcranial Doppler sonography - a source of systematic bias and strategies to avoid it. Lorenz et al., 2009.

  • Poor bone window influences measurements. Good window conditions necessary to determine cerebral autoregulation correctly.

One-minute dynamic cerebral autoregulation in severe head injury patients and its comparison with static autoregulation. A transcranial Doppler study. Puppo et al., 2008.

  • Traumatic brain inury patients, who had impaired cAR at admission, had poor outcome compared to those who had working cAR.

Noninvasive evaluation of dynamic cerebrovascular autoregulation using Finapres plethysmograph and transcranial Doppler. Lavinio et al., 2006.

  • Non-invasively derived autoregulation (using Mx) correlated well with invasively derived results.

  1. Dissertationsschrift „Validität der Bestimmung der cerebralen Autoregulation mittels transcranieller Doppler-Sonographie unter Verwendung des Ultraschallkontrastmittels Levovist“, vorgelegt von Nina Thölen, J.-W.-G. Universität Frankfurt am Main, 2009.
  2. Herold Innere Medizin, 2011.
  3. Innovationen im Neuromonitoring mit Ultraschall, A. Harloff, W. D. Niesen, M. Reinhard,Thieme Verlag 2011.
Literature: Anaesthesiology
Open PDF (86 KB)

Literature: ICU
Open PDF (82 KB)

Literatur: Autoregulation
Open PDF (106 KB)

Atlas of Doppler Sonography


download pdfAnästhesie (EN) PDF | 144 KB
download pdfAutoregulation (EN) PDF | 163 KB
download pdfDemenz (EN) PDF | 178 KB
download pdfEmbolie Differenzierung (EN) PDF | 113 KB
download pdfEmbolie Gefäßchirurgie (EN) PDF | 232 KB
download pdfEmbolie Schlaganfallrisiko (EN) PDF | 182 KB
download pdfFunktionelle TCD (EN) PDF | 198 KB
download pdfHirndruck (EN) PDF | 141 KB
download pdfHirntod (EN) PDF | 233 KB
download pdfICU (EN) PDF | 162 KB
download pdfMikrodoppler (EN) PDF | 124 KB
download pdfParkinson (EN) PDF | 85 KB
download pdfReanimation (EN) PDF | 94 KB
download pdfRechts-Links Shunt (EN) PDF | 201 KB
download pdfSichelzellenanämie (EN) PDF | 152 KB
download pdfSonothrombolyse (EN) PDF | 175 KB
download pdfSchlaganfall (EN) PDF | 192 KB
download pdfVasospasmus (EN) PDF | 140 KB
download pdfAnaesthesiology (PDF | 144 KB)
download pdfAutoregulation (PDF | 163 KB)
download pdfDementia (PDF | 178 KB)
download pdfEmboli differentiation (PDF | 113 KB)
download pdfEmboli vascular surgery (PDF | 232 KB)
download pdfEmboli stroke risk (PDF | 182 KB)
download pdfFunctional TCD (PDF | 198 KB)
download pdfBrain pressure (PDF | 141 KB)
download pdfBrain death (PDF | 233 KB)
download pdfICU (PDF | 162 KB)
download pdfMicrodoppler (PDF | 124 KB)
download pdfParkinson (PDF | 85 KB)
download pdfReanimation (PDF | 94 KB)
download pdfRight-Left-Shunt Detection (PDF | 201 KB)
download pdfSickle cell anemia (PDF | 152 KB)
download pdfSonothrombolysis (PDF | 175 KB)
download pdfStroke (PDF | 192 KB)
download pdfVasospasm (PDF | 140 KB)


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