Noninvasive quantification of whole-brain cerebral metabolic rate of oxygen (CMRO2) by MRI

Feng Xu1, Yulin Ge, Hanzhang Lu

  • 1Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.

Insights

A new noninvasive MRI method accurately estimates cerebral metabolic rate of oxygen (CMRO2), a key brain health marker. This technique offers a convenient alternative to existing methods for routine clinical use.

Area of Science:

  • Neuroimaging
  • Physiology
  • Biophysics

Background:

  • Cerebral metabolic rate of oxygen (CMRO2) is crucial for assessing brain function and health.
  • Current CMRO2 quantification methods using PET or MRI often require specialized equipment or contrast agents, limiting their clinical applicability.
  • A need exists for noninvasive, routine-friendly techniques to measure brain metabolism.

Purpose of the Study:

  • To develop and validate a noninvasive MRI-based method for estimating whole-brain CMRO2 in humans.
  • To compare different MRI acquisition strategies for optimal CMRO2 measurement.
  • To explore the relationship between blood flow and venous oxygenation in the brain.

Main Methods:

  • Utilized phase-contrast MRI for quantitative blood flow measurement.
  • Employed T2-relaxation-under-spin-tagging (TRUST) MRI for estimating venous oxygenation.
  • Applied the Fick principle (arteriovenous oxygen difference) to calculate CMRO2.
  • Compared various phase-contrast and TRUST MRI acquisition protocols.

Main Results:

  • The developed noninvasive MRI method successfully estimated whole-brain CMRO2.
  • Average CMRO2 values in healthy young subjects were 132.1 ± 20.0 µmol/100 g/min, consistent with PET findings.
  • Nongated phase-contrast MRI and sagittal sinus TRUST MRI proved most efficient and accurate.
  • A positive correlation was observed between blood flow and venous oxygenation across subjects.

Conclusions:

  • This noninvasive MRI technique provides a convenient and effective approach for CMRO2 quantification.
  • The method holds potential for assessing brain metabolism in various neurological conditions and physiological states.
  • It offers a valuable alternative to existing, more invasive or equipment-intensive CMRO2 measurement techniques.