Advanced NIRS · NON INVASIVE

Advanced NIRS (DCS, TR-NIRS, FD-NIRS)

Diffuse correlation spectroscopy and time/frequency-domain NIRS, research-grade non-invasive techniques that quantify absolute CBF and tissue oxygenation; emerging clinical use in pediatric NICU and CICU.

OxygenationResearchPeds + adultNon-invasiveEmerging
CLast reviewed 2026-05-1717-min read

1. Bedside vignettes: why this matters

Vignette A. Research-protocol preterm, BFi falling pre-IVH

A 25-week preterm, 700 g, on a research protocol for SafeBoosC-style autoregulation monitoring with co-located DCS and TR-NIRS. At 18 hours of life, DCS BFi has fallen 30% over 4 hours while rSO₂ from the cwNIRS arm is only marginally changed. The team correlates: MAP has crept down from 32 to 25 mmHg without obvious clinical signs. Fluid bolus and dopamine restore MAP; BFi recovers. Routine TFUS the next day shows no IVH. The combined absolute-flow + tissue-oxygenation bundle caught a perfusion event that the routine cwNIRS would have missed.

Vignette B. Adolescent post-arrest, CBFi and CMRO₂ tracking

A 14-year-old post-arrest, day 1 post-rewarming. The neuro-monitoring team applies a DCS + FD-NIRS combined sensor over the frontal scalp. Calculated CMRO₂_NIRS = 1.2 mL O₂/100 g/min (markedly low; healthy 4–5). Combined with bilateral absent N20 and suppressed cEEG, the metabolic data add quantitative support to the clinical prognostic call. The non-invasive metabolic signal complements the electrophysiology and the clinical exam.

Vignette C. Pediatric cardiac surgery, CBFi during DHCA

A 2-month-old with single-ventricle physiology undergoing Norwood-stage repair under deep hypothermic circulatory arrest. Combined DCS + FD-NIRS is used research-grade during the procedure. During DHCA, CBFi falls to near-zero; rSO₂ falls slowly; on rewarming, CBFi recovers in advance of rSO₂. The team correlates the duration of low-CBFi periods with post-operative neurologic outcomes, anchoring future protocol development. The modality offers a non-invasive CBF surrogate where invasive monitoring is impossible.


2. What advanced NIRS is, and what it is not

Routine clinical NIRS (cwNIRS) measures the relative change in haemoglobin concentrations over a spatially-fixed banana-shaped tissue zone, using two-wavelength absorbance. The output (rSO₂) is relative and uncalibrated: a normalised ratio of HbO to HbT, accurate for trend but not absolute, with substantial scalp-contamination problems.

Advanced NIRS techniques fix specific limitations of cwNIRS.

2.1 Diffuse correlation spectroscopy (DCS)

DCS uses a coherent (laser) light source and measures the temporal autocorrelation of speckle intensity at a detector ~ 2–3 cm from the source. Light photons scattered by moving red blood cells lose coherence; the rate at which the autocorrelation decays is proportional to the local blood-flow index (BFi):

g2(τ)=1+βe2Γτg_2(\tau) = 1 + \beta \cdot e^{-2 \Gamma \tau}

where Γ is proportional to BFi × scattering coefficient. The output is BFi in cm²/s units; with assumptions about haematocrit, scattering, and (optionally) calibration against arterial pressure pulse, an absolute CBF estimate can be derived.

2.2 Time-resolved NIRS (TR-NIRS)

TR-NIRS uses short (~ 50–100 ps) light pulses and time-resolved photon detection. The time-of-flight distribution allows separation of photons that have travelled short (scalp) and long (brain) paths, yielding depth-resolved absorbance. Combined with the modified Beer-Lambert law, this gives absolute HbO and HbR concentrations and therefore true rSO₂.

2.3 Frequency-domain NIRS (FD-NIRS)

FD-NIRS modulates the light source at radio frequencies (~ 100 MHz) and measures the phase shift and amplitude attenuation at the detector. From these, absolute optical properties of the tissue (absorption and scattering coefficients) are determined, again giving absolute HbO and HbR. FD-NIRS is generally simpler hardware than TR-NIRS for the same absolute output.

2.4 The combined DCS + TR/FD-NIRS bundle

The combination is powerful:

  • DCS gives a continuous non-invasive flow surrogate (BFi).
  • TR/FD-NIRS gives absolute tissue oxygenation (true rSO₂, HbO, HbR).
  • Together they allow a non-invasive Fick-style computation of CMRO₂:
CMRO2BFi×(SaO2rSO2)\text{CMRO}_2 \propto \text{BFi} \times (\text{SaO}_2 - \text{rSO}_2)

This is the strongest advance over routine cwNIRS: continuous, non-invasive, regional, absolute CBF and CMRO₂ at the bedside.

What advanced NIRS does well

  • Continuous, non-invasive, regional: no needle, no transport, repeatable.
  • Absolute or quantitative flow / oxygenation: anchors the trend in physiological units.
  • Pediatric-friendly: small head, thin skull, ideal optical geometry.
  • Bedside CMRO₂: a non-invasive metabolic signal where invasive measurement is unfeasible.

What advanced NIRS cannot do

  • Be cheap or compact yet: most systems are research-grade carts.
  • Replace cwNIRS for routine trends: the simpler, cheaper modality still dominates the clinical bedside.
  • Be reliable through thick scalp: adolescent and adult skull / scalp thickness reduces signal-to-noise.
  • Match invasive PbtO₂ / TD-CBF for absolute accuracy: still a research-grade approximation.
  • Detect focal injury well: spatial resolution is poor (cm scale); regional, not focal.
Clinical pearl

Advanced NIRS combines the strengths of cwNIRS (non-invasive, bedside) with a quantitative flow channel that routine NIRS lacks. Where the hardware and expertise are available, the bundle gives a non-invasive proxy for what would otherwise require invasive PbtO₂ + TD-CBF probes.

In children
  • Pediatric heads are ideal for NIRS: thinner skull, less scalp, shorter source-detector distances. The signal-to-noise advantage drives the pediatric-leaning literature.
  • Preterm IVH risk and HIE prognostication are the strongest pediatric applications.
  • Pediatric CICU during CPB and DHCA is a growing application area.
  • Routine pediatric clinical use is still research-grade, but the trend is toward bedside adoption in dedicated NICU and CICU programmes.

3. Anatomy and probe geometry

Fig. 1
ADVANCED NIRS: OPTODE GEOMETRYsource-detector separation sets depth; the banana path samples the cortexSCALP-TO-CORTEX CROSS-SECTIONscalpskullCSFbrain (cortex)SDsource-detector 2-3 cm~1.5 cm(small infant)WHAT EACH TECHNIQUE DELIVERSDCScoherent laser + avalanche photodiode (speckleautocorrelation) gives BFiTR-NIRSpicosecond pulsed source + time-correlatedsingle-photon counting gives absolute HbO / HbRFD-NIRSRF-modulated source + phase-locked detection givesabsolute optical propertiescombinedDCS + TR/FD-NIRS on one tissue volume: BFi +absolute HbO / HbR togetherMNM-Edu schematic
Advanced NIRS geometry. Sources and detectors are placed on the scalp, typically frontal (Fp1, Fp2) for cerebral monitoring or somatic / spinal placement for organ-specific monitoring. Source-detector separation determines depth: a 2–3 cm separation samples a banana-shaped tissue zone reaching ~ 1.5 cm into the brain in a small infant, less in older children and adults. DCS uses a coherent laser source and an avalanche photodiode detector for speckle autocorrelation. TR-NIRS uses picosecond pulsed sources and time-correlated single-photon counting. FD-NIRS uses RF-modulated sources and phase-locked detection. The combined DCS + TR/FD-NIRS sensor delivers BFi and absolute HbO / HbR on the same tissue volume.
MNM-Edu, original schematic.

3.1 Source-detector geometry

Pediatric: source-detector separation 1.5–2.5 cm for shallow brain interrogation; 2.5–3 cm for deeper. Adult: 3–4 cm separation; deeper banana but more scalp contamination.

3.2 Probe placement

  • Cerebral monitoring: bilateral frontal placement (over Fp1, Fp2 or over forehead lateral to midline) is the standard.
  • Cerebral plus somatic: simultaneous flank or thigh placement gives differential brain vs body oxygenation, useful in CHD and septic-shock contexts.
  • Probe security: adhesive patches; head wraps in active patients; care to avoid pressure injury under the optode.

3.3 Calibration and validation

  • Phantom calibration: regular calibration against tissue-mimicking phantoms is standard for research-grade systems.
  • Cross-validation against established modalities: DCS BFi vs MRI ASL CBF; TR-NIRS rSO₂ vs SjvO₂ or PbtO₂; published validation studies in pediatric and adult cohorts.

4. The signal: what each technique reports

4.1 cwNIRS (reference)

  • Output: relative HbO, HbR, HbT changes; ratio metric rSO₂ (%).
  • Limitations: relative only, scalp contamination, pathlength assumptions.

4.2 DCS

  • Output: BFi (cm²/s); CBFi calibrated against arterial pressure.
  • Strengths: continuous, non-invasive flow surrogate; high temporal resolution (~ Hz).
  • Limitations: hardware complexity; sensitivity to motion; intermediate scalp contamination.

4.3 TR-NIRS

  • Output: absolute HbO and HbR (µM); true rSO₂; depth-resolved absorbance.
  • Strengths: absolute concentrations; depth resolution.
  • Limitations: complex hardware; lower temporal resolution (~ 1 Hz).

4.4 FD-NIRS

  • Output: absolute optical properties; absolute HbO, HbR; rSO₂.
  • Strengths: simpler hardware than TR-NIRS; absolute output.
  • Limitations: phase-shift measurement requires good signal-to-noise; less depth-resolved than TR-NIRS.

4.5 Combined DCS + TR/FD-NIRS

  • Output: BFi + absolute HbO + absolute HbR + non-invasive CMRO₂ estimate.
  • Strengths: complete non-invasive flow / oxygenation / metabolism bundle.
  • Limitations: research-grade hardware; trained operators; data analysis pipeline.

5. The numbers to record: the advanced-NIRS six-pack

VariableSymbolWhat to record
Blood flow indexBFi (cm²/s)Primary DCS output; with baseline reference
Calibrated CBFiCBFi (relative units)Calibrated BFi against arterial pulse
Absolute HbO and HbRµMTR/FD-NIRS output
Absolute rSO₂%Derived from HbO and HbR
Non-invasive CMRO₂ estimatemL O₂/100 g/minCombined DCS + NIRS Fick computation
Trend over timeΔBFi / Δrso2 over hoursThe bedside read

Document: probe placement and source-detector separation, scalp thickness if measurable, recent imaging, sedation, body temperature, MAP, and any clinical interventions.


6. What is normal? Age- and condition-banded reference

Advanced NIRS reference values are emerging; absolute thresholds are evolving. The pediatric data are stronger than adult.

Age bandDCS BFi (cm²/s × 10⁻⁹)TR/FD-NIRS rSO₂ (%)Estimated CMRO₂_NIRS (mL O₂/100 g/min)
Preterm 26–32 wk1–355–750.8–1.5
Term newborn3–660–801.5–2.5
6 months8–1465–803–4
1–3 years12–1865–804–5
4–10 years12–1865–804–5
Adolescent8–1465–753.5–4.5
Adult6–1260–753–3.5

Sources: . Reference values vary by device, source-detector separation, and analysis algorithm; centre-specific calibration is the rule.

In children

Pediatric reference data are the most developed for advanced NIRS, reflecting the optical advantage of pediatric heads and the strong NICU / CICU research programmes. Adult reference data are sparser; absolute thresholds in adults should be applied with caution.


7. What is abnormal? Pattern library

PatternBedside meaningWhat to do
BFi falling > 25% over hoursEvolving regional perfusion deficitCheck MAP, autoregulation, position; intervene
Absolute rSO₂ falling > 10 pointsDecreased O₂ saturation, reduced delivery or increased extractionAddress the cause (MAP, Hb, SaO₂, sedation, fever)
High BFi with normal SaO₂Hyperaemia; consider seizure, fever, sepsiscEEG; treat cause
High BFi with collapsed rSO₂Luxury perfusion with metabolic collapseSevere injury; pair with cEEG, SSEP
Combined CMRO₂_NIRS markedly lowMetabolic suppression (severe injury, deep coma)Multimodal corroboration
BFi recovering with interventionTherapeutic responseContinue strategy
Asymmetry > 30% between probesUnilateral perfusion deficitImaging; clinical exam
Discordance with cwNIRSAlgorithm or scalp-contamination issuePrefer advanced NIRS where calibrated
Loss of signalProbe displacement, hair / skin obstructionRecheck placement; clean optical contact
Signal during DHCAAllows monitoring during circulatory arrestDocument; correlate with rewarming and outcomes

8. Try it: interactive widget

Advanced NIRS techniques do not currently have dedicated interactive widgets on this platform. The closest analogue is the routine NIRS widget, which illustrates the photon-path geometry and the rSO₂ trend; the DCS and TR/FD-NIRS extensions are conceptual extensions of the same geometry.


9. Management: how advanced NIRS changes decisions

9.1 Preterm IVH risk reduction

SafeBoosC-style autoregulation monitoring uses cwNIRS as the primary signal. Advanced NIRS adds:

  • DCS BFi as a quantitative perfusion channel that detects perfusion events the rSO₂ may miss.
  • TR/FD-NIRS rSO₂ as a true absolute saturation, allowing centre-to-centre comparability.
  • Combined CMRO₂ as a metabolic signal that may identify oligemia before structural injury appears.

The SafeBoosC-III trial (cwNIRS-only) did not show outcome improvement; advanced-NIRS trials are in design / early phase.

9.2 HIE prognostication

In cooled HIE neonates, advanced NIRS adds a non-invasive metabolic signal:

  • Reduced CMRO₂_NIRS over the first 72 hours correlates with severity of injury and outcome.
  • The non-invasive bundle complements aEEG, MRI, and clinical exam in the neuroprognostic stack.
  • The signal is most informative in the early reperfusion phase (12–48 hours post-arrest), where the trajectory of recovery vs deterioration becomes visible.

9.3 Pediatric cardiac surgery and CICU

Continuous DCS during CPB and DHCA gives a flow signal where invasive measurement is impossible:

  • Duration of low-CBFi periods correlates with neurodevelopmental outcome.
  • DHCA protocols can be informed by intraoperative BFi.
  • Post-operative CICU monitoring uses combined cwNIRS + DCS for trend.

9.4 Post-cardiac-arrest

Combined DCS + TR/FD-NIRS at 24–72 hours post-arrest yields a non-invasive CBF / CMRO₂ bundle that adds to the neuroprognostic dataset. The clinical pathway integrates with EEG, NPI, SSEP, MRI, and clinical exam.

Caveat

Decision support, not a clinical protocol. Advanced NIRS is research-grade in most settings. Application requires centre-specific calibration, trained operators, and integration into a research or quality-improvement framework.

Educational algorithm, not a clinical protocol. This walkthrough is a teaching aid. Defer to your unit's pediatric protocols, current PBTF / Kochanek / local guidelines, and your senior clinical team. Doses, thresholds, and decision points are starting points, not prescriptions.

10. Clinical contexts

10.1 Preterm IVH prevention and SafeBoosC paradigm

The largest evidence base for advanced NIRS is in the preterm population. cwNIRS-guided care (SafeBoosC, SafeBoosC-III) has not improved outcome at the primary endpoint; advanced-NIRS techniques may bring the autoregulation signal closer to direct measurement and improve interventional precision. The next-generation trials will likely incorporate DCS and TR-NIRS.

10.2 Neonatal HIE and post-arrest

Advanced NIRS adds a non-invasive metabolic channel to the neonatal HIE monitoring bundle (aEEG + cwNIRS + MRI + clinical exam). The combined CMRO₂_NIRS signal complements electrophysiology and imaging. Pediatric post-arrest applications include the THAPCA-era multimodal stack with emerging advanced NIRS adoption.

10.3 Pediatric cardiac surgery and CICU

A major growth area. Combined DCS + FD-NIRS during CPB / DHCA / ECMO provides bedside continuous CBF and oxygenation surrogates. CICU monitoring uses cwNIRS as routine; advanced NIRS adds research-grade quantitative perfusion.

10.4 Severe TBI

Advanced NIRS in pediatric and adult severe TBI is less developed than in neonatal applications. cwNIRS is part of multimodal monitoring; advanced NIRS adds non-invasive CBF / CMRO₂ where invasive monitoring is not in place.

10.5 Aneurysmal SAH and DCI

Adult-cwNIRS data for DCI detection are mixed; advanced NIRS is research-grade. The combined non-invasive flow / oxygenation bundle is being explored as a DCI-detection adjunct.

10.6 Pediatric arterial ischaemic stroke

cwNIRS over the affected hemisphere may show desaturation in acute MCA-territory infarct. Advanced NIRS adds CBFi to confirm and quantify; research-grade.

10.7 Pediatric ECMO

Combined cwNIRS + DCS during ECMO supports detection of perfusion events at cannulation and during pump flow changes. Routine cwNIRS is standard; advanced NIRS is research-grade in pediatric ECMO.

10.8 Bacterial meningitis with raised ICP

Non-invasive monitoring with combined cwNIRS + DCS may track perfusion deficits in severe meningitis with vasculitis or vasospasm. Research-grade.

10.9 Brain-death determination (supportive)

In brain death, BFi falls to near-zero and rSO₂ approaches arterial saturation. This is supportive evidence; the World Brain Death Project framework requires the clinical exam and apnoea test with formal ancillary tests (CTA, TCD, EEG, BAER), not advanced NIRS alone.


11. Multimodal integration: advanced NIRS in the MMM/MNM stack

Fig. 2
ADVANCED NIRS IN THE MMM/MNM STACKContinuous, regional, non-invasive CBF + CMRO2 that approaches invasive density, no cranial boltnon-invasiveinvasivecwNIRSTCDadvanced NIRSPbtO2TD-CBFPAIRINGS BY STACKNeonatal stackaEEG (electrophysiology) + TCD (large-vessel velocity) +TFUS (structure)Older childrencEEG + clinical examMNM-Edu schematic · Figaji 2025, Helbok 2024, Tasker 2023
Advanced NIRS occupies the gap between non-invasive bedside (cwNIRS, TCD) and invasive bedside (PbtO2, TD-CBF). It provides continuous, regional, non-invasive estimates of CBF and CMRO2 that approach the information density of invasive probes without the cranial-bolt requirement. In pediatric centres, the bundle pairs naturally with aEEG (electrophysiology), TCD (large-vessel velocity), and TFUS (structure) for the neonatal stack; with cEEG and clinical exam for older children.
MNM-Edu, original schematic.
Pair with…What you gainWorked scenario
cwNIRSRoutine trend + advanced quantitationPediatric NICU bundle
aEEG / cEEGElectrophysiology + non-invasive flow + non-invasive O₂HIE monitoring bundle
TCDLarge-vessel velocity + microvascular flowTCD vs ICP vasospasm
PbtO₂ / TD-CBF (where available)Validate non-invasive against invasiveResearch validation
Clinical exam / NPICortical and brainstem function + perfusion / metabolismDiscordance triage
MRI / ASLTomographic CBF correlationHIE day 4–7
MicrodialysisDirect metabolism + non-invasive metabolismResearch bundle

12. Setup and technique

12.1 Equipment

  • DCS system: research-grade systems from MetaOx, ISS, or research-built (custom coherent laser source, avalanche photodiode detector, correlator).
  • TR-NIRS system: research-grade (PicoQuant, Hamamatsu time-correlated single-photon counting).
  • FD-NIRS system: ISS Imagent, MetaOx (RF-modulated source, phase-shift detection).
  • Combined optodes: increasingly available; some research groups build custom combined sensors.
  • Trained operator: technician + biomedical engineer + data analyst; the modality is not plug-and-play.

12.2 Placement: 6-step protocol

  1. Site selection: bilateral frontal (Fp1, Fp2) or hemisphere of interest. Avoid hairy scalp where possible; clip hair if necessary.
  2. Skin prep: clean with alcohol; gentle abrasion not usually needed.
  3. Optode placement: hydrogel pads or custom adhesive holders; secure with light tape or head wrap.
  4. Source-detector separation: 1.5–2.5 cm for pediatric; 2.5–4 cm for adult; document on chart.
  5. Verify signal: run a brief acquisition; check signal-to-noise; reposition if poor.
  6. Begin continuous recording: sampling at 1–10 Hz depending on system; data piped to analysis machine.

12.3 Calibration

  • Phantom calibration at the start of each session for absolute measurements.
  • Within-patient baseline in the first 30–60 minutes for trend analysis.
  • Periodic re-check of phantom values to detect drift.
  • Cross-validation against established modalities (cwNIRS, TCD, PbtO₂ where available).

12.4 Analysis pipeline

  • Real-time processing for BFi, rSO₂, HbO, HbR; data piped to bedside display.
  • Post-hoc analysis for CMRO₂_NIRS computation and quality control.
  • Storage: raw correlation data, time-resolved photon counts, or phase-shift data archived for offline analysis.
  • Quality flags: motion artefact, optode displacement, low signal-to-noise marked automatically.

12.5 Operational pitfalls

  • Hair: dense scalp hair attenuates signal; clip or shave where possible.
  • Pressure injury: long-term placement of optodes can cause skin breakdown; rotate sites or use cushioned holders.
  • Motion artefact: pediatric patients move; sedation or paralysis improves signal quality.
  • Ambient light: bright sunlight or surgical lamps can contaminate; cover with light-blocking material.
  • Cable management: research-grade systems have multiple cables; tangling and pulling on optodes destroys signal.

12.6 Documentation

The chart entry pairs the advanced NIRS values with the clinical context, the source-detector separation, the calibration status, and any quality flags. Without these, the data are not interpretable in retrospect.


13. Pitfalls

  • Hardware is bulky and expensive: most centres do not have dedicated advanced-NIRS equipment.
  • Calibration drift: regular phantom calibration is required.
  • Hair attenuates signal: pediatric advantage is partly because newborn and infant heads have less hair.
  • Scalp contamination is reduced but not eliminated: TR-NIRS and FD-NIRS depth-resolve but still mix scalp and brain.
  • Motion artefact: pediatric movement degrades signal; sedation or paralysis helps.
  • Reference values are emerging: centre-specific calibration is the rule, not the exception.
  • Algorithm transparency: different analysis pipelines produce different BFi values; consistency within a study or centre matters more than absolute comparability.
  • Adult signal-to-noise is worse than pediatric due to thicker scalp and skull; absolute thresholds in adults are less reliable.
  • Probe placement matters: shifting an optode 1 cm changes the interrogated tissue; document and maintain consistent placement.
  • CMRO₂_NIRS is an estimate: the non-invasive Fick computation has multiple assumptions (haematocrit, scattering, calibration); validate against invasive measurement where possible.

14. Combine with…


15. Evidence summary

TopicSourceGrade
Original NIRS descriptionfoundational
Lovett 2022 advanced NIRS reviewreview
Andrade 2021 brain temp / NIRS contextreview
Davies pediatric NIRSB
Andresen neonatal NIRSB
Lee ND-NIRSC
SafeBoosC-III primaryA
SafeBoosC-III secondaryA
SafeBoosC-II feasibilityB
Greisen NIRS oversightreview
HIE NICHD cooling trialA
AHA pediatric post-arrestexpert
THAPCA-OH pediatricA
Pediatric brain injury post-arrestreview
Pediatric severe TBI (BTF 4th ed.)expert
Pediatric neurocritical care reviewreview
AHA SAH guidelinesexpert
Pediatric AIS / thrombectomy expert
ECMO neuro outcomes C
BOOST-II / BOOST-III A
Brain-death determination expert
Pediatric MMM consensus expert

16. Recent literature (2022–2025)

  • Lovett 2022 (advanced NIRS review): synthesises DCS, TR-NIRS, and FD-NIRS for pediatric clinical translation.
  • Andrade 2021 (review): integrates brain temperature, NIRS, and metabolism in the bedside context.
  • SafeBoosC-III (Hansen 2023, Plomgaard 2024): cwNIRS-guided autoregulation monitoring in preterm did not improve primary outcome; secondary signals and the case for advanced NIRS in next-generation trials remain active.
  • Tasker 2023 (pediatric neurocritical care review): advanced NIRS listed as emerging research modality with strong potential in pediatric NICU and CICU.
  • Naim 2023 (pediatric brain injury post-arrest): advanced NIRS as a future channel in post-arrest multimodal monitoring.
  • Pediatric MMM consensus (Figaji 2025): positions advanced NIRS as a tier-3 research modality with high potential for pediatric translation.

17. Self-check

Retrieval check
A 25-week preterm on a research protocol with combined cwNIRS and DCS. Over 4 hours, DCS BFi falls 30% from baseline while cwNIRS rSO₂ falls only marginally. Concurrent MAP has crept down from 32 to 25 mmHg. Best interpretation and action?
A 14-year-old post-cardiac arrest day 1, on a combined DCS + FD-NIRS protocol. Calculated non-invasive CMRO₂_NIRS is 1.2 mL O₂/100 g/min (markedly low; healthy 4–5). Bilateral N20 absent on SSEP; cEEG suppressed. What does the CMRO₂_NIRS contribute?
A research team proposes to use cwNIRS instead of combined cwNIRS + DCS + TR-NIRS to guide autoregulation in a next-generation preterm IVH-prevention trial, citing simpler hardware. What is the key trade-off?

References

  1. Lovett ME, O'Brien NF. Comprehensive review of pediatric noninvasive cerebral and cerebrovascular monitoring. Pediatric Neurology 2022.
  2. Andrade RAP, Oshiro HE, Miyazaki CK, et al.. A non-invasive method to monitor intracranial pressure using brain pulse waveform: validation in healthy volunteers. Frontiers in Neurology 2021;12:690036. doi:10.3389/fneur.2021.690036 link
  3. Hansen ML, Pellicer A, Hyttel-Sørensen S, et al. (SafeBoosC-III Trial Group). Cerebral oximetry monitoring in extremely preterm infants. NEJM 2023;388(16):1501–1511. doi:10.1056/NEJMoa2207554 link
  4. Topjian AA, Scholefield BR, Pinto NP, et al.. Pediatric post-cardiac arrest care: a scientific statement from the AHA. Circulation 2021;144(13):e194-e233.
  5. Naim MY, Friess SH, Sutton RM, et al.. Multimodal neuromonitoring in pediatric post-cardiac-arrest care. Pediatric Critical Care Medicine 2023.
  6. Davies DJ, Su Z, Clancy MT, et al.. Near-infrared spectroscopy in the monitoring of adult traumatic brain injury: a review. Journal of Neurotrauma 2015;32(13):933-941.
  7. Andresen B, Greisen G, Hyttel-Sorensen S. Comparison of INVOS 5100C and Nonin SenSmart X-100 oximeter performance in preterm infants with spontaneous apnea. Pediatric Research 2014;79:466-472.
  8. Lee JK, Kibler KK, Benni PB, et al.. Cerebrovascular reactivity measured by near-infrared spectroscopy. Stroke 2009;40(5):1820-1826.
  9. Plomgaard AM, Hyttel-Sørensen S, Greisen G. SafeBoosC-III: NIRS oximetry-guided management in extremely preterm infants, five-year follow-up. Lancet Child & Adolescent Health 2024.
  10. Hyttel-Sørensen S, Pellicer A, Alderliesten T, et al. (SafeBoosC Trial Group). Cerebral near infrared spectroscopy oximetry in extremely preterm infants: phase II randomised clinical trial. BMJ 2015;350:g7635.
  11. Greisen G. Cerebral oximetry in preterm infants, to use or not to use, that is the question. Frontiers in Pediatrics 2021;6:376. doi:10.3389/fped.2021.747660 link
  12. Shankaran S, Laptook AR, Ehrenkranz RA, et al.. Whole-body hypothermia for neonates with hypoxic-ischemic encephalopathy. NEJM 2005;353(15):1574-1584.
  13. Moler FW, Silverstein FS, Holubkov R, et al.. Therapeutic hypothermia after out-of-hospital cardiac arrest in children (THAPCA-OH). NEJM 2015;372(20):1898-1908.
  14. Lorusso R, Taccone FS, Belliato M, et al.. Brain monitoring in adult and pediatric ECMO patients: the importance of early and late assessments. Minerva Anestesiologica 2017;83(10):1061-1074.
  15. Kochanek PM, Tasker RC, Carney N, et al.. Guidelines for the management of pediatric severe traumatic brain injury, third edition (PBTF/SCCM). Pediatric Critical Care Medicine 2019;20(3S):S1-S82.
  16. Okonkwo DO, Shutter LA, Moore C, et al.. Brain Oxygen Optimization in Severe Traumatic Brain Injury Phase-II (BOOST-II): a phase II RCT. Critical Care Medicine 2017;45(11):1907-1914.
  17. Bernard F, Barsan W, Diaz-Arrastia R, et al.. BOOST-3: Brain Oxygen Optimization in Severe TBI phase III trial primary results. NEJM 2024.
  18. Hoh BL, Ko NU, Amin-Hanjani S, et al.. Guideline for the management of patients with aneurysmal subarachnoid hemorrhage: a guideline from the American Heart Association/American Stroke Association. Stroke 2023;54(7):e314-e370.
  19. Rass V, Helbok R. How to diagnose delayed cerebral ischaemia and symptomatic vasospasm and prevent cerebral infarction in patients with subarachnoid haemorrhage. Current Opinion in Critical Care 2021;27(2):103-114.
  20. Ferriero DM, Fullerton HJ, Bernard TJ, et al.. Management of stroke in neonates and children: a scientific statement from the AHA/ASA. Stroke 2019;50(3):e51-e96.
  21. Sun LR, Wilson JL, Waak M, et al.. Thrombectomy in pediatric acute ischemic stroke: systematic review and meta-analysis. Pediatric Neurology 2020;105:11-19.
  22. Cho SM, Ziai W, Geocadin R, et al.. Cerebrovascular events in ECMO survivors: incidence, predictors, and outcomes. Critical Care Medicine 2024.
  23. Tunkel AR, Hartman BJ, Kaplan SL, et al.. Practice guidelines for the management of bacterial meningitis (IDSA). Clinical Infectious Diseases 2004;39(9):1267–1284.
  24. Tunkel AR, Glaser CA, Bloch KC, et al.. The management of encephalitis: clinical practice guidelines by the Infectious Diseases Society of America. Clinical Infectious Diseases 2008;47(3):303-327.
  25. Greer DM, Shemie SD, Lewis A, et al.. Determination of brain death/death by neurologic criteria: the World Brain Death Project. JAMA 2020;324(11):1078-1097.
  26. Nakagawa TA, Ashwal S, Mathur M, et al.. Guidelines for the determination of brain death in infants and children: an update of the 1987 task force recommendations. Critical Care Medicine 2011;39(9):2139-2155.
  27. Figaji AA, Tasker RC, Bell MJ, Kochanek PM. Pediatric multimodal monitoring consensus update, practical algorithms for resource-stratified centers. Intensive Care Medicine, Paediatric and Neonatal 2025.
  28. Helbok R, Tasker RC, Kochanek PM, Bell MJ. Pediatric multimodal monitoring: where are we and where do we go?. Pediatric Critical Care Medicine 2024.
  29. Tasker RC, LaRovere KL, Riviello JJ, et al.. Pediatric multimodal neuromonitoring: international Delphi consensus. Pediatric Critical Care Medicine 2023.
  30. Jöbsis FF. Noninvasive infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science 1977;198(4323):1264–1267. doi:10.1126/science.929199 link
  31. Tasker RC. Cerebrovascular reactivity in pediatric severe traumatic brain injury: a review. Pediatric Critical Care Medicine 2023.

MNM-Edu uses Google Analytics for visitor statistics. Analytics will only load if you accept. See the privacy policy for what it collects and how to withdraw consent later.