JTCS Medtronic Endurant
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Personal Folders
Right arrow Download to citation manager
Right arrow Author home page(s):
Roland Hetzer
Right arrow Permission Requests
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Steinbrink, J.
Right arrow Articles by Kuebler, W. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Steinbrink, J.
Right arrow Articles by Kuebler, W. M.

J Thorac Cardiovasc Surg 2006;132:1172-1178
© 2006 The American Association for Thoracic Surgery


Evolving Technology

Relevance of depth resolution for cerebral blood flow monitoring by near-infrared spectroscopic bolus tracking during cardiopulmonary bypass

Jens Steinbrink, PhDa,*, Thomas Fischer, MDc, Hermann Kuppe, MDc, Roland Hetzer, MDd, Kamil Uludag, PhDa, Hellmuth Obrig, MDa, Wolfgang M. Kuebler, MDb,c

a Clinic of Neurology, German Heart Institute, Berlin, Germany
b Institute of Physiology, German Heart Institute, Berlin, Germany
c Charité–Universitaetsmedizin and the Departments of Anesthesiology, German Heart Institute, Berlin, Germany
d Cardiothoracic and Vascular Surgery, German Heart Institute, Berlin, Germany.

Received for publication February 3, 2006; revisions received May 8, 2006; accepted for publication May 18, 2006.

* Address for reprints: Jens Steinbrink, Charité University Hospital, Clinic of Neurology, Schumannstrasse 20/21, 10098 Berlin, Germany. (Email: jens.steinbrink{at}charite.de).


    Abstract
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
OBJECTIVE: Noninvasive near-infrared spectroscopy (NIRS) is increasingly used to monitor cerebral oxygenation and blood flow status, which is also of high relevance during cardiovascular surgical interventions with cardiopulmonary bypass. Contamination of the cerebral signal by contamination from overlaying extracerebral tissue, however, has been proposed to reduce sensitivity and cerebral selectivity of this promising technique.

METHODS: We evaluated a novel depth-resolved approach for the determination of cerebral hemodynamics by near-infrared spectroscopic tracking of intravenously administered indocyanine green boluses. A frequency domain technique was applied, allowing simultaneous determination of light absorption changes and time of flight of single photons and enabling the differentiation between extracerebral and intracerebral tracer kinetics. Depth-resolved near-infrared spectroscopy was tested in 4 patients undergoing cardiopulmonary bypass and compared with data derived by conventional continuous-wave near-infrared spectroscopy.

RESULTS: Depth resolution extracted the differential responses of extracerebral and intracerebral blood vessels from near-infrared bolus tracking signals. Postoperative blood flow indices derived from the intracerebral time course exceeded preoperative values by 1.5 ± 0.2 times, indicating a significant increase of cerebral blood flow not detectable by conventional near-infrared spectroscopy.

CONCLUSION: The depth-resolved approach provides additional and relevant data for the interpretation of intraoperative cerebral perfusion during cardiothoracic surgery. The validity of this approach for patients with preexisting risk factors for cerebral hypoperfusion remains to be determined in larger clinical trials.



Abbreviations and Acronyms {Delta}cICG = change in indocyanine concentration; {Delta}µa = absorption change; BFI = blood flow index; CBF = cerebral blood flow; CPB = cardiopulmonary bypass; ICG = indocyanine green; NIRS = near-infrared spectroscopy



    Introduction
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Cerebral injury, neurologic deficits, and cognitive impairment are major causes of intraoperative and perioperative morbidity and mortality in cardiac surgery with cardiopulmonary bypass (CPB). Prospective studies report a 3% incidence of stroke in patients undergoing coronary artery bypass grafting1Go and an 8% rate for isolated valve surgery.2Go The reported incidence of neurologic deficits after coronary artery bypass grafting ranges between 0.4% and 80%, depending on definition of deficit and patient selection.3,4Go Suggested mechanisms underlying neurologic damage during CPB comprise complete or incomplete cerebral ischemia, hypoxia, and embolization5Go and therefore stress the need for monitoring of cerebral blood flow (CBF) and oxygenation. In contrast to computed tomographic and magnetic resonance imaging techniques, near-infrared spectroscopy (NIRS) facilitates noninvasive intraoperative and perioperative monitoring and has therefore been applied to measure cerebral tissue oxygenation during CPB.6,7Go In addition, the combination of NIRS with the administration of the light absorbing intravascular dye indocyanine green (ICG) has been proposed for monitoring of regional cerebral perfusion.8-10Go

By applying laser Doppler flowmetry, a perfusion measurement without contrast agent has very recently been proposed.11Go The advantages of NIRS are low cost and versatility; however, it is a major shortcoming that conventional NIRS cannot differentiate between absorption changes in cerebral and extracerebral tissue.12Go Because of the noninvasive fixation of emitter and sensor probes (optodes) on the intact scalp, the detected signal is derived from cerebral structures as well as from extracerebral tissue (bone and skin).13Go This consideration is of particular impact during CPB, since intracerebral and extracerebral blood vessels, and thus blood flow and oxygenation, will respond differently to cardiotechnical and pharmacologic interventions. (1) Vascular autoregulation and PaCO 2 vasoreactivity stabilize CBF but not extracerebral blood flow. (2) The effects of nonpulsatile flow during CPB on vascular tone and reactivity differ between different compartments.14Go (3) Adrenergic innervation and vasoconstrictive response are predominantly confined to the extracerebral, not the intracerebral, compartment.15Go (4) Finally, mild to moderate intraoperative hypothermia will affect CBF and extracerebral blood flow to different extents.16Go

To address these issues, we have recently proposed a new NIRS method, depth-resolved NIRS, which is the first to allow differentiation between intracerebral and extracerebral absorption changes. Note that commercial systems currently do not include this option. This method relies on the determination of the times of flight of photons, which can be measured by frequency or time domain techniques. Whereas intensity changes are strongly influenced by extracerebral absorption changes, alterations in the mean time of flight of photons more strongly depend on absorption changes in the depth of the tissue.17Go Here we have applied a frequency domain approach, assessing attenuation and the mean time of flight of the photons to differentiate between CBF and extracerebral blood flow characteristics in patients undergoing CPB.


    Methods
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Patient Characteristics
Depth-resolved NIRS was applied to monitor intraoperative CBF in 4 patients undergoing heart surgery with alpha-stat CPB. Procedural details are given in Table 1. The trial was approved by the ethical committee of the Charité University Hospital, and informed consent was received from the patients.


View this table:
[in this window]
[in a new window]
 
TABLE 1. Patient and procedural characteristics
 
NIRS and Data Acquisition
NIRS was performed with a commercially available frequency domain NIRS system (ISS Inc., Champaign, Ill) To maximize signal-to-noise ratio, only 1 of the available 16 laser diodes of the system was used at a wavelength of 810 nm. The optical emitter-detector pair of the NIRS system was placed on the forehead 7 cm above the eye line, with a source-detector separation of 3 cm.

Depth-resolved NIRS bolus tracking was performed during three phases of the surgery: (1) intra-operatively after thoracotomy and before the start of CPB, (2) during CPB and aortic clamping, and (3) after aortic declamping and cessation of CPB. At each time point, repeated injections (from 2-5) of ICG boluses (ICG-Pulsion; Pulsion Medical Systems, Munich, Germany) were administered through a central venous line. To allow NIRS signals to return to baseline between subsequent injections, the interval between the boluses was at least 4 minutes. Each bolus consisted of 5 mg ICG dissolved in 3 mL water. Because of its high binding to plasma proteins, ICG predominantly distributes in the intravascular compartment. Its absorption peak at 805 nm allows the monitoring of its passage through the cerebral vasculature by NIRS and the calculation of hemodynamic parameters from the indicator dilution curves obtained. Each patient received 45 to 60 mg ICG, which is safe and far below the maximum daily dose of 5 mg/kg body weight. No side effects of ICG were observed or have been reported in the literature.

Data Analysis
The frequency domain NIRS system used here supplies light, which is amplitude modulated at a frequency of 110 MHz and can thus return three parameters: (1) the amplitude of the modulated intensity, (2) the phase of the modulated intensity, and (3) the intensity of the nonmodulated light. By analyzing changes in phase and the unmodulated intensity, we have previously been able to separate absorption changes in extracerebral scalp from those in brain.17Go The depth discrimination procedure returns changes ({Delta}µa) in the brain ({Delta}µa,brain) and the extracerebral ({Delta}µa,extra) compartments.17Go

The changes in the absorption coefficients measured can be transformed into concentration changes of ICG by using tabulated extinction coefficients ({varepsilon}).18Go We used {Delta}cICG = {Delta}µa,brain/{varepsilon}, with 1/{varepsilon} approximately 42 mg · mm/L at 810 nm, to calculate changes in ICG concentration ({Delta}cICG) in tissue. Thus the depth-resolved approach applied in this study yields time courses for absorption or concentration changes in the extracerebral and intracerebral compartments. From the time course of these changes, hemodynamic blood flow parameters can be extracted by adaptation of algorithms derived from indicator dilution techniques. Here we applied our recently reported and validated blood flow index (BFI) to analyze the effect of depth resolution and the contribution of extracerebral tissue to the NIRS signal during CPB. BFI is defined as {Delta}c10%-90%/t10%-90%, where {Delta}c10%-90% is the change between 10% and 90% of the maximum concentration change and t10%-90% is the corresponding rise time.17Go Similar to blood flow parameters determined from bolus tracking techniques with magnetic resonance imaging, the BFI is a relative parameter; thus its baseline value is arbitrary.

Note that although the hardware for the proposed approach is commercially available, the data analysis was performed off line. The steps of the algorithm are easy to implement, however, and we hope that an on-line version will be provided by the system developers. The signal of each injection of ICG could be clearly identified, even during the surgical procedure. Only maneuvers with a very strong motion of the patient's body resulted in artifacts, which could be identified by multiple and rapid signal changes.

Statistics
Unless stated otherwise, all data are presented as mean ± SD. Data were analyzed for significant changes between values determined before and after CPB by Mann-Whitney U test.


    Results
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Intraoperative data on patient hemodynamics, blood gases, and intravesically determined body temperature before, during, and after CPB are summarized in Table 2.


View this table:
[in this window]
[in a new window]
 
TABLE 2. Intraoperative hemodynamics, blood gases, and body temperature
 
During the three phases of the surgical intervention defined in the Methods section, boluses of ICG were administered intravenously, and passage through the patient's head was monitored by cranial depth-resolved NIRS. Figure 1 provides representative tracings of ICG absorption in the intracerebral and extracerebral compartments as determined in patient C. For each time point, two to three time courses derived from different bolus injections are shown. During the operative procedure, the time courses of both intracerebral and extracerebral bolus passages changed considerably. Intracerebral signals showed a high reproducibility at each time point during repetitive bolus injections, whereas extracerebral signals fluctuated considerably between subsequent measurements.


Figure 1
View larger version (17K):
[in this window]
[in a new window]
 
Figure 1. Representative tracings of several intravenously administered indocyanine green boluses monitored by depth-resolved near-infrared spectroscopy in intracerebral (upper panel) and extracerebral (lower panel) compartments before (pre), during (CPB), and after (post) cardiopulmonary bypass in patient C. Note low variance of intracerebral versus extracerebral signal. {Delta}cICG, Change in indocyanine green concentration.

 
The recorded ICG tracer kinetics before, during, and after CPB are given for each patient in Figure 2. Individual time courses were derived from averaging the tracer curves from two to five consecutive bolus injections. Before CPB, patients A through C showed a pronounced peak in the intracerebral ICG time course. In line with the expectation of a higher CBF velocity relative to a slower flow velocity in scalp and skull, the bolus arrived earlier in the intracerebral compartment. During CPB, the intracerebral tracer profile was largely stable in all 4 patients, whereas the peak in the extracerebral compartment was markedly reduced and delayed. After CPB, the latency of the ICG bolus in the intracerebral compartment was reduced and the upward slope steepened, indicating a marked reduction in the transit time of the bolus. Accordingly, 3 of the 4 patients showed a significant increase in BFI, as determined from the intracerebral ICG-bolus time courses after CPB relative to measurements before CPB (Figure 3, A).


Figure 2
View larger version (19K):
[in this window]
[in a new window]
 
Figure 2. Averaged intracerebral (black) and extracerebral (gray) tracer kinetics of intravenous indocyanine green boluses as monitored by depth-resolved near-infrared spectroscopy before (PRE), during (CPB), and after (POST) cardiopulmonary bypass in 4 patients. To account for large intersubject variations, range of y-axis is kept fixed for all three phases but is different for all 4 patients. {Delta}µa, Change in absorption.

 

Figure 3
View larger version (8K):
[in this window]
[in a new window]
 
Figure 3. Mean blood flow index (BFI) determined from multiple indocyanine green bolus curves before (pre) and after (post) cardiopulmonary bypass. Asterisks indicate significant changes according to Mann-Whitney U test in individual subjects. (A) In case of depth-resolved analysis, significant 1.5 ± 0.3 times (mean ± SD) increase in blood flow index was detected in 4 subjects. (B) By conventional analysis, no significant change in blood flow index was observed.

 
To compare depth-resolved NIRS bolus tracking with conventional approaches by a continuous-wave NIRS approach without depth resolution, we monitored ICG kinetics by intensity measurements only and calculated BFI values from these signal curves, thus comprising both intracerebral and extracerebral compartments. Figure 4 demonstrates the relevance of a depth-resolved NIRS approach. Normalized time courses for the ICG bolus are given for either a depth-resolved or a continuous wave (conventional) NIRS approach. In contrast to the depth-resolved approach differentiating between intracerebral and extracerebral compartments, conventional techniques with mere intensity measurements yield indicator tracing curves, which are a weighted average of both signals. Figure 4 demonstrates that the upward slope of the ICG curve is strongly influenced by the delayed arrival of the extracerebral as compared with the intracerebral bolus. This results in a prolongation of the rise time, t 10%-90%, thus directly affecting the calculation of hemodynamic parameters such as the BFI. Thus BFIs calculated from a conventional approach no longer reveal altered CBF after CPB relative to measurements before CPB (Figure 3, B). In other words, extracerebral blood flow strongly contaminates conventional continuous-wave NIRS bolus tracings, thus potentially obscuring the signal of interest, CBF.


Figure 4
View larger version (11K):
[in this window]
[in a new window]
 
Figure 4. Comparison of indocyanine green tracer kinetics detected by depth-resolved and conventional near-infrared spectroscopy. Representative tracings are derived from averaged bolus kinetics recorded in patient A after cardiopulmonary bypass. Normalized indocyanine green concentration is given for intracerebral (black) and extracerebral (gray) indocyanine green kinetics, as recorded by depth-resolved near-infrared spectroscopy, and a conventional signal curve as would be recorded by continuous-wave near-infrared spectroscopy without depth resolution (open triangles). {Delta}cICG, Change in indocyanine green concentration; a.u., arbitrary units.

 

    Discussion
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Our study demonstrates the feasibility of a new depth-resolved NIRS bolus tracking technique during cardiothoracic surgery. This novel approach extracts additional data on cerebral perfusion from ICG bolus curves and yields reproducible results that are more reliable than those of conventional NIRS approaches, which are highly sensitive to extracerebral contamination. Thus this technique renders NIRS a potentially valuable tool to further investigate specific risk factors (eg, concomitant cerebrovascular disease) for focal or global ischemia during heart surgery. Although this goal requires larger clinically oriented studies, we here demonstrate methodologic advances to minimize potential extracerebral contamination of the signal. For the approach presented here, discrimination between superficial and deep tissue layers is achieved by a frequency domain approach in which the differential influences of intracerebral and extracerebral layers on attenuation changes and mean transit times of photons is estimated by a Monte Carlo simulation. In 4 patients undergoing CPB, we have demonstrated the approach to yield more robust intracerebral indicator dilution curves and to unravel additional information on CBF not accessible by conventional NIRS techniques. Specifically, depth-resolved NIRS bolus tracking revealed (1) that the CBF was largely maintained during CPB, whereas the extracerebral blood flow was markedly attenuated, and (2) that CBF was higher after CPB than before CPB in 3 of 4 patients. A conventional continuous-wave NIRS will not be able to detect such changes. Depth-resolved NIRS is therefore an important novel extension of the methodology for noninvasive intraoperative monitoring of CBF.

Perspectives and Limitations of Depth-resolved NIRS Bolus Tracking
NIRS tracking of intravascular tracers has previously been proposed as a technique to monitor CBF.9,10,19,20Go Although spatial specificity is much lower with the currently available technology, the noninvasive approach is an intraoperatively applicable extension to blood flow imaging with computed tomography and magnetic resonance imaging. Intraoperative monitoring facilitates immediate countermeasures to ensure adequate CBF and oxygenation during CPB.

Different algorithms have been proposed to yield a sensitive and reproducible detection of intracerebral tracer kinetics and to acquire a quantitative or semiquantitative measure of CBF by NIRS. Although various studies demonstrated feasibility and reproducibility of CBF measurements by the Fick principle,9,19Go the derived data could not be correlated in a study with CBF values determined by the radioactive microsphere technique,21Go the criterion standard for CBF measurements. BFI, a semiquantitative parameter derived from fluorescence flowmetry, was validated against radioactive microspheres in pigs,17Go and its reproducibility has been demonstrated in several patient studies.5,12Go

The primary requirement for NIRS-based determination of CBF, however, the sensitive and reproducible detection of intracerebral tracer kinetics, is not unrestrictedly warranted in conventional continuous-wave NIRS. Because the regional distribution of the tracer dye is not limited to the intracerebral compartment, contamination from extracerebral blood vessels may alter the detected signal curves and impair accurate detection of cerebral hemodynamics.

We recently proposed a novel approach to allow differentiation between intracerebral and extracerebral signals by use of depth-resolved NIRS.22,23Go This technique can be applied for bolus tracking of intravascular tracer dyes with light-absorbing properties in the near-infrared range, such as ICG.17,22,24Go In principle, the method relies on the simultaneous determination of the time of flight of photons, which can be measured by frequency or time domain techniques, and of changes in intensity of the light back scattered from the tissue. Whereas intensity changes are strongly affected by variations in extracerebral light absorption, changes in the mean transit time of photons are more strongly influenced by light absorption in the depth of the tissue.17Go A potential limitation of this novel approach lies in its dependence on the different sensitivity factors l and m for light absorption changes in the intracerebral and extracerebral compartments, which are estimated from Monte Carlo simulations.23Go Accordingly, model assumptions such as thickness of skin and skull layers or optical homogeneity of the tissue directly influence the applied algorithms for depth resolution of the recorded signals. This will be a principal problem if quantitative measures are required, whereas qualitative measurements show relative robustness toward plausible variations of the assumed thickness of the different layers.

In this study, intracerebral tracer kinetics recorded by depth-resolved NIRS showed a higher degree of reproducibility than did extracerebral signals and revealed significant changes in intracerebral bolus kinetics that were not detectable by conventional NIRS. The proposed method thus increases both robustness and sensitivity of CBF monitoring by NIRS and is therefore a relevant advance toward reliable monitoring of CBF during CPB and cardiovascular surgical procedures.

Intracranial and Extracranial Blood Flow Profiles
Before CPB, 3 of 4 patients showed earlier arrival of the tracer bolus in the intracerebral than the extracerebral compartment, which is in good agreement with the physiologic expectation of higher blood flow velocities in brain than in skin. Whereas mean capillary blood flow velocity in human skin varies between 0.15 and 0.25 mm/s,25Go velocities in capillaries of the central nervous system (eg, the olfactory bulb glomeruli) range between 0.2 and 1.0 mm/s, with a mean of 0.57 mm/s.26Go

Whereas pre-CPB and post-CBF tracer kinetics can be directly compared by calculation of BFI, tracer arrival time and bolus dilution will be altered during CPB as a result of bolus passage through the extracorporeal circuit. Thus evaluation of tracer kinetics during CPB is limited to intraindividual comparisons between intracerebral and extracerebral tracer kinetics. We were able to show the intracerebral tracer profile to be largely conserved, although tracer kinetics derived from the extracerebral compartment showed reduced amplitude and a delayed and diminished upslope relative to pre-CPB recordings. This indicates a relative reduction in extracerebral blood volume and blood flow velocity relative to the intracerebral compartment. This differential regulation of intracerebral and extracerebral blood vessels can be attributed to the differential response to adrenergic stimulation, temperature, or PaCO 2 variations.15Go

After CPB, the profile of extracerebral tracer kinetics partially recovered, whereas intracerebral kinetics revealed a marked acceleration of bolus transit relative to pre-CPB measurements. This is indicated by a shortened bolus appearance time and a steeper upslope. In accordance with this notion, BFI increased significantly in 3 of 4 patients. This effect may be explained by the increased PaCO2 and reduced hematocrit27Go after CPB relative to pre-CPB measurements. This finding is in accordance with experiments in pigs, in which cerebral vascular resistance was notably reduced 15 and 120 minutes after hypothermic CPB relative to baseline values.28Go Moreover, patients without preexisting cerebrovascular disease have a markedly higher jugular bulb oxygen saturation after 60 minutes of normothermic CPB than before CPB.29Go In contrast, no increase in jugular bulb oxygen saturation was detected in 9 patients with preexisting stroke in the same study. Of note, patient C was the only patient in our study with a history of an ischemic stroke, 1 year before the operation, and also was the only patient in whom intracerebral BFI did not increase. This lack of response thus may indicate a preexisting cerebrovascular impairment not attributable to the intraoperative procedures.

In conclusion, the monitored intraoperative changes of the CBF and extracerebral blood flow profiles match physiologic and pathophysiologic response patterns yet would be undetectable by conventional NIRS approaches. Implementation of depth-resolving algorithms for tracer bolus tracking in frequency or time domain NIRS systems is thus mandatory to allow on-line differentiation between intracerebral and extracerebral components. Further studies are required to test the reliability of this novel approach in different clinical settings.


    Acknowledgments
 
We are indebted to the cardiotechnical staff at the Deutsches Herzzentrum Berlin for their valuable support.


    Footnotes
 
Supported in part by the Bundesministerium für Bildung und Forschung (BMBF) and the "Europäischer Fond für regionale Entwicklung" (EFRE).


    References
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 

  1. Hogue Jr CW, Barzilai B, Pieper KS, Coombs LP, DeLong ER, Kouchoukos NT, et al. Sex differences in neurological outcomes and mortality after cardiac surgery: a Society of Thoracic Surgery national database report. Circulation 2001;103:2133-2137.[Abstract/Free Full Text]
  2. Wolman RL, Nussmeier NA, Aggarwal A, Kanchuger MS, Roach GW, Newman MF, et al. Multicenter Study of Perioperative Ischemia Research Group (McSPI) and the Ischemia Research Education Foundation (IREF) Investigators Cerebral injury after cardiac surgery: identification of a group at extraordinary risk. Stroke 1999;30:514-522.[Abstract/Free Full Text]
  3. Blauth CI, Arnold JV, Schulenberg WE, McCartney AC, Taylor KM. Cerebral microembolism during cardiopulmonary bypass. Retinal microvascular studies in vivo with fluorescein angiography. J Thorac Cardiovasc Surg 1988;95:668-676.[Abstract]
  4. Roach GW, Kanchuger M, Mangano CM, Newman M, Nussmeier N, Wolman R, et al. Adverse cerebral outcomes after coronary bypass surgery. Multicenter Study of Perioperative Ischemia Research Group and the Ischemia Research and Education Foundation Investigators. N Engl J Med 1996;335:1857-1863.[Medline]
  5. Taggart DP, Westaby S. Neurological and cognitive disorders after coronary artery bypass grafting. Curr Opin Cardiol 2001;16:271-276.[Medline]
  6. Hoffman GM, Stuth EA, Jaquiss RD, Vanderwal PL, Staudt SR, Troshynski TJ, et al. Changes in cerebral and somatic oxygenation during stage 1 palliation of hypoplastic left heart syndrome using continuous regional cerebral perfusion. J Thorac Cardiovasc Surg 2004;127:223-233.[Abstract/Free Full Text]
  7. Nollert G, Jonas RA, Reichart B. Optimizing cerebral oxygenation during cardiac surgery: a review of experimental and clinical investigations with near infrared spectrophotometry. Thorac Cardiovasc Surg 2000;48:247-253.[Medline]
  8. Kuebler WM, Sckell A, Habler O, Kleen M, Kuhnle GE, Welte M, et al. Noninvasive measurement of regional cerebral blood flow by near-infrared spectroscopy and indocyanine green. J Cereb Blood Flow Metab 1998;18:445-456.[Medline]
  9. Roberts I, Fallon P, Kirkham FJ, Lloyd-Thomas A, Cooper C, Maynard R, et al. Estimation of cerebral blood flow with near infrared spectroscopy and indocyanine green. Lancet 1993;342:1425.[Medline]
  10. Terborg C, Bramer S, Harscher S, Simon M, Witte OW. Bedside assessment of cerebral perfusion reductions in patients with acute ischaemic stroke by near-infrared spectroscopy and indocyanine green. J Neurol Neurosurg Psychiatry 2004;75:38-42.[Abstract/Free Full Text]
  11. Durduran T, Yu G, Burnett MG, Detre JA, Greenberg JH, Wang J, et al. Diffuse optical measurement of blood flow, blood oxygenation, and metabolism in a human brain during sensorimotor cortex activation. Opt Lett 2004;29:1766-1768.[Medline]
  12. Germon TJ, Young AE, Nelson RJ. Near-infrared spectroscopy. J Neurosurg 1995;83:1111-1112.[Medline]
  13. Young AE, Germon TJ, Barnett NJ, Manara AR, Nelson RJ. Behaviour of near-infrared light in the adult human head: implications for clinical near-infrared spectroscopy. Br J Anaesth 2000;84:38-42.[Abstract/Free Full Text]
  14. Ohnishi Y, Hu QH, Yamaguchi S, Kuro M, Niimi H. Cerebral microcirculatory changes in rat with a cardiopulmonary bypass using fluorescence videomicroscopy. Clin Hemorheol Microcirc 2002;26:15-26.[Medline]
  15. Brown CG, Robinson LA, Jenkins J, Bowman K, Schlaifer J, Werman H, et al. The effect of norepinephrine versus epinephrine on regional cerebral blood flow during cardiopulmonary resuscitation. Am J Emerg Med 1989;7:278-282.[Medline]
  16. Su JY, Amory DW, Sands MP, Mohri H. Effects of circulatory arrest and rewarming on regional blood flow during surface-induced hypothermia. Am Heart J 1980;100:332-340.[Medline]
  17. Kohl-Bareis M, Obrig H, Steinbrink J, Malak J, Uludag K, Villringer A. Noninvasive monitoring of cerebral blood flow by a dye bolus method: separation of brain from skin and skull signals. J Biomed Opt 2002;7:464-470.[Medline]
  18. Landsman ML, Kwant G, Mook GA, Zijlstra WG. Light-absorbing properties, stability, and spectral stabilization of indocyanine green. J Appl Physiol 1976;40:575-583.[Abstract/Free Full Text]
  19. Keller E, Nadler A, Alkadhi H, Kollias SS, Yonekawa Y, Niederer P. Noninvasive measurement of regional cerebral blood flow and regional cerebral blood volume by near-infrared spectroscopy and indocyanine green dye dilution. Neuroimage 2003;20:828-839.[Medline]
  20. Kusaka T, Isobe K, Nagano K, Okubo K, Yasuda S, Kondo M, et al. Estimation of regional cerebral blood flow distribution in infants by near-infrared topography using indocyanine green. Neuroimage 2001;13:944-952.[Medline]
  21. Newton CR, Wilson DA, Gunnoe E, Wagner B, Cope M, Traystman RJ. Measurement of cerebral blood flow in dogs with near infrared spectroscopy in the reflectance mode is invalid. J Cereb Blood Flow Metab 1997;17:695-703.[Medline]
  22. Liebert A, Wabnitz H, Steinbrink J, Obrig H, Moller M, Macdonald R, et al. Time-resolved multidistance near-infrared spectroscopy of the adult head: intracerebral and extracerebral absorption changes from moments of distribution of times of flight of photons. Appl Opt 2004;43:3037-3047.
  23. Steinbrink J, Wabnitz H, Obrig H, Villringer A, Rinneberg H. Determining changes in NIR absorption using a layered model of the human head. Phys Med Biol 2001;46:879-896.[Medline]
  24. Ostergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: mathematical approach and statistical analysis. Magn Reson Med 1996;36:715-725.[Medline]
  25. Fagrell B, Intaglietta M, Ostergren J. Relative hematocrit in human skin capillaries and its relation to capillary blood flow velocity. Microvasc Res 1980;20:327-335.[Medline]
  26. Chaigneau E, Oheim M, Audinat E, Charpak S. Two-photon imaging of capillary blood flow in olfactory bulb glomeruli. Proc Natl Acad Sci U S A 2003;100:13081-13086.[Abstract/Free Full Text]
  27. Sakamoto T, Nollert GD, Zurakowski D, Soul J, Duebener LF, Sperling J, et al. Hemodilution elevates cerebral blood flow and oxygen metabolism during cardiopulmonary bypass in piglets. Ann Thorac Surg 2004;77:1656-1663.[Abstract/Free Full Text]
  28. Strauch JT, Spielvogel D, Haldenwang PL, Zhang N, Weisz D, Bodian CA, et al. Impact of hypothermic selective cerebral perfusion compared with hypothermic cardiopulmonary bypass on cerebral hemodynamics and metabolism. Eur J Cardiothorac Surg 2003;24:807-816.[Abstract/Free Full Text]
  29. Kadoi Y, Saito S, Kawahara F, Goto F, Owada R, Fujita N. Jugular venous bulb oxygen saturation in patients with preexisting diabetes mellitus or stroke during normothermic cardiopulmonary bypass. Anesthesiology 2000;92:1324-1329.[Medline]



This article has been cited by other articles:


Home page
Phil Trans R Soc AHome page
H. Obrig and J. Steinbrink
Non-invasive optical imaging of stroke
Phil Trans R Soc A, November 28, 2011; 369(1955): 4470 - 4494.
[Abstract] [Full Text] [PDF]


Home page
J. Appl. Physiol.Home page
W. M. Kuebler
How NIR is the future in blood flow monitoring?
J Appl Physiol, April 1, 2008; 104(4): 905 - 906.
[Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Personal Folders
Right arrow Download to citation manager
Right arrow Author home page(s):
Roland Hetzer
Right arrow Permission Requests
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Steinbrink, J.
Right arrow Articles by Kuebler, W. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Steinbrink, J.
Right arrow Articles by Kuebler, W. M.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
ANN THORAC SURG ASIAN CARDIOVASC THORAC ANN EUR J CARDIOTHORAC SURG
J THORAC CARDIOVASC SURG ICVTS ALL CTSNet JOURNALS