Evaluation of cerebral hemodynamic assessment from time-of-flight magnetic resonance angiography using a topological network-based model with Transcranial Doppler measurements - Summary - MDSpire

Evaluation of cerebral hemodynamic assessment from time-of-flight magnetic resonance angiography using a topological network-based model with Transcranial Doppler measurements

  • By

  • Wheesung Lee

  • Sung-Ho Ahn

  • Do-Eun Lee

  • Tae-Rin Lee

  • July 2, 2026

  • 0 min

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Objective:

To evaluate the performance of Dr. NEAR flow (DNF) in estimating hemodynamic parameters from time-of-flight magnetic resonance angiography (TOF-MRA) and to compare DNF-calculated velocities with Transcranial Doppler (TCD) measurements.

Approach:
  • Study Design: A single-center retrospective study involving 113 patients.
  • Methodology: Comparison of DNF-calculated velocities with TCD-measured velocities across seven major cerebral arteries.
  • Data Analysis: Patient-specific inflow boundary conditions were defined using TCD measurements to ensure physiologically consistent comparisons.
Key Findings:
  • Statistically significant positive correlation between DNF-calculated velocities and TCD measurements (Pearson’s r = 0.74, p < 0.0001), indicating a strong relationship between the two methods.
  • DNF provides a non-invasive alternative for comprehensive cerebrovascular assessment.
Interpretation:

DNF overcomes limitations associated with conventional TCD by integrating anatomical context with hemodynamic assessment.

Limitations:
  • Study conducted at a single center, which may limit generalizability.
  • Retrospective design may introduce biases.
Conclusion:

DNF offers a robust method for assessing cerebral hemodynamics.

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