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Article Dans Une Revue Journal of Neurointerventional Surgery Année : 2022

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

Alexandre Bani-Sadr
Tae-Hee Cho
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Matteo Cappucci
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Marc Hermier
Roxana Ameli
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Andrea Filip
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Roberto Riva
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Laurent Derex
Charles de Bourguignon
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Laura Mechtouff
Omer Eker
Norbert Nighoghossian

Résumé

Aims To evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume (FIV). Methods This cohort study included patients treated with mechanical thrombectomy following an admission MRI and undergoing a follow-up MRI. Admission MRIs were post-processed by three packages to quantify ischemic core and perfusion deficit volume (PDV). Automatic package outputs (uncorrected volumes) were collected and corrected by an expert. Successful revascularization was defined as a modified Thrombolysis in Cerebral Infarction (mTICI) score ≥2B. Uncorrected and corrected volumes were compared between each package and with FIV according to mTICI score. Results Ninety-four patients were included, of whom 67 (71.28%) had a mTICI score ≥2B. In patients with successful revascularization, ischemic core volumes did not differ significantly from FIV regardless of the package used for uncorrected and corrected volumes (p>0.15). Conversely, assessment of PDV showed significant differences for uncorrected volumes. In patients with unsuccessful revascularization, the uncorrected PDV of packages A (median absolute difference −40.9 mL) and B (median absolute difference −67.0 mL) overestimated FIV to a lesser degree than package C (median absolute difference −118.7 mL; p=0.03 and p=0.12, respectively). After correction, PDV did not differ significantly from FIV for all three packages (p≥0.99). Conclusions Automated MRI perfusion software packages estimate FIV with high variability in measurement despite using the same dataset. This highlights the need for routine expert evaluation and correction of automated package output data for appropriate patient management.
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Dates et versions

hal-03703407 , version 1 (23-06-2022)

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Alexandre Bani-Sadr, Tae-Hee Cho, Matteo Cappucci, Marc Hermier, Roxana Ameli, et al.. Assessment of three MR perfusion software packages in predicting final infarct volume after mechanical thrombectomy. Journal of Neurointerventional Surgery, 2022, pp.neurintsurg-2022-018674. ⟨10.1136/neurintsurg-2022-018674⟩. ⟨hal-03703407⟩
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