Comparison of 10 TTP and Tmax estimation techniques for MR perfusion-diffusion mismatch quantification in acute

N D Forkert1, P Kaesemann, A Treszl

  • 1Departments of Computational Neuroscience.

Abstract

Insights

Different time-to-peak (TTP) or time-to-maximum (Tmax) methods significantly alter acute stroke mismatch volumes. This variability impacts patient classification, highlighting the need for standardized techniques in stroke imaging analysis.

Area of Science:

  • Neuroradiology
  • Acute Stroke Imaging
  • Cerebrovascular Disease

Background:

  • Perfusion and diffusion MRI mismatch identifies tissue at risk of infarction in acute stroke.
  • Variability in mismatch volume estimation can affect clinical decision-making.

Purpose of the Study:

  • To analyze the variability of mismatch volumes derived from different time-to-peak (TTP) or time-to-maximum (Tmax) estimation techniques.
  • To assess the impact of these variations on the classification of patients with acute stroke.

Main Methods:

  • Analysis of 50 middle cerebral artery stroke patients imaged within 6 hours of symptom onset.
  • Utilized 10 distinct TTP/Tmax techniques with varying delay thresholds (+2 to +12 seconds) for perfusion lesion calculation.
  • Semiautomatically segmented diffusion lesions and registered them for mismatch quantification.

Main Results:

  • Observed mean volumetric differences up to 40-100 mL between mismatch volumes calculated by different TTP/Tmax methods.
  • Clinically relevant mismatch classification varied in up to 24% of cases depending on the TTP/Tmax estimation technique used.
  • Significant variability in tissue-at-risk volume estimation was demonstrated.

Conclusions:

  • High variations in tissue-at-risk volumes are expected with different TTP/Tmax estimation techniques.
  • Standardization or correction formulas are needed for comparable study results in acute stroke assessment.
  • Addressing methodological variability is crucial for reliable clinical interpretation of perfusion-diffusion mismatch.