Automated MRI perfusion-diffusion mismatch estimation may be significantly different in individual patients when using different software packages
Autor: | Simon Fandler-Höfler, Manuela Michenthaler, Nicole Hinteregger, Markus Kneihsl, Ulrike Wießpeiner, Gernot Reishofer, Christian Enzinger, Eva Hassler, Hannes Deutschmann, Stefan L. Leber |
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Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
Infarction Brain Ischemia 03 medical and health sciences 0302 clinical medicine Magnetic resonance imaging medicine Effective diffusion coefficient Humans Radiology Nuclear Medicine and imaging 030212 general & internal medicine Lead (electronics) Stroke Neuroradiology Thrombectomy medicine.diagnostic_test business.industry Brain General Medicine medicine.disease Perfusion Diffusion Magnetic Resonance Imaging Cerebrovascular Circulation Inclusion and exclusion criteria Radiology Neuro business 030217 neurology & neurosurgery Software Volume (compression) |
Zdroj: | European Radiology |
ISSN: | 1432-1084 |
Popis: | Objective To compare two established software applications in terms of apparent diffusion coefficient (ADC) lesion volumes, volume of critically hypoperfused brain tissue, and calculated volumes of perfusion-diffusion mismatch in brain MRI of patients with acute ischemic stroke. Methods Brain MRI examinations of 81 patients with acute stroke due to large vessel occlusion of the anterior circulation were analyzed. The volume of hypoperfused brain tissue, ADC volume, and the volume of perfusion-diffusion mismatch were calculated automatically with two different software packages. The calculated parameters were compared quantitatively using formal statistics. Results Significant difference was found for the volume of hypoperfused tissue (median 91.0 ml vs. 102.2 ml; p p p Conclusion Volume segmentation in different software products may lead to significantly different results in the individual patient and may thus seriously influence the decision for or against mechanical thrombectomy. Key Points • Automated calculation of MRI perfusion-diffusion mismatch helps clinicians to apply inclusion and exclusion criteria derived from randomized trials. • Infarct volume segmentation plays a crucial role and lead to significantly different result for different computer programs. • Perfusion-diffusion mismatch estimation from different computer programs may influence the decision for or against mechanical thrombectomy. |
Databáze: | OpenAIRE |
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