Assessment of three MR perfusion software packages in predicting final infarct volume after mechanical thrombectomy

Alexandre Bani-Sadr1,2, Tae-Hee Cho3, Matteo Cappucci4

  • 1Neuroradiology, Hospices Civils de Lyon, Bron, France apbanisadr@gmail.com.

Abstract

Insights

Automated MRI software for stroke imaging shows high variability in predicting final infarct volume. Expert correction of perfusion deficit volume is crucial for accurate patient management after mechanical thrombectomy.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Mechanical thrombectomy is a key treatment for acute ischemic stroke.
  • Accurate estimation of infarct volume is critical for treatment decisions and prognosis.
  • MR perfusion imaging plays a vital role in assessing brain tissue viability.

Purpose of the Study:

  • To compare the performance of three automated MR perfusion software packages (RAPID, OleaSphere, Philips) in predicting final infarct volume (FIV).
  • To evaluate the impact of expert correction on the accuracy of these software packages.

Main Methods:

  • A cohort of 94 patients undergoing mechanical thrombectomy was included.
  • Admission MRIs were processed by three software packages to quantify ischemic core and perfusion deficit volume (PDV).
  • Uncorrected and expert-corrected volumes were compared with FIV, considering successful revascularization (mTICI score ≥2B).

Main Results:

  • Ischemic core volumes did not significantly differ from FIV in successfully revascularized patients.
  • Uncorrected PDV showed significant differences from FIV, with varying degrees of overestimation across packages in unsuccessful revascularization.
  • Expert correction of PDV rendered all packages' outputs non-significantly different from FIV.

Conclusions:

  • Automated MR perfusion software exhibits significant variability in estimating FIV.
  • Routine expert evaluation and correction of automated software outputs are essential for reliable patient management in stroke care.

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