Assessment of three MR perfusion software packages in predicting final infarct volume after mechanical thrombectomy
AimsTo evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume (FIV).MethodsThis cohort study included patients treated with mechanical thrombectomy following an admission MRI and undergoing a follow-up MRI. Admiss...
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Published in | Journal of neurointerventional surgery Vol. 15; no. 4; pp. 393 - 398 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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BMA House, Tavistock Square, London, WC1H 9JR
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01.04.2023
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ISSN | 1759-8478 1759-8486 1759-8486 |
DOI | 10.1136/neurintsurg-2022-018674 |
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Abstract | AimsTo evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume (FIV).MethodsThis 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.ResultsNinety-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).ConclusionsAutomated 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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AbstractList | To evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume (FIV).
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.
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).
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. AimsTo evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume (FIV).MethodsThis 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.ResultsNinety-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).ConclusionsAutomated 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. 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. To evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume (FIV).AIMSTo evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume (FIV).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.METHODSThis 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.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).RESULTSNinety-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).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.CONCLUSIONSAutomated 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. |
Author | De Bourguignon, Charles Filip, Andrea Cho, Tae-Hee Nighoghossian, Norbert Derex, Laurent Riva, Roberto Berthezene, Yves Hermier, Marc Ameli, Roxana Mechtouff, Laura Bani-Sadr, Alexandre Cappucci, Matteo Eker, Omer F |
Author_xml | – sequence: 1 givenname: Alexandre orcidid: 0000-0002-1808-2484 surname: Bani-Sadr fullname: Bani-Sadr, Alexandre email: apbanisadr@gmail.com organization: MYRIAD, CREATIS, Villeurbanne, France – sequence: 2 givenname: Tae-Hee surname: Cho fullname: Cho, Tae-Hee organization: Stroke Department, Hospices Civils de Lyon, Lyon, France – sequence: 3 givenname: Matteo orcidid: 0000-0002-4198-1410 surname: Cappucci fullname: Cappucci, Matteo organization: Neuroradiology, Hospices Civils de Lyon, Bron, France – sequence: 4 givenname: Marc surname: Hermier fullname: Hermier, Marc organization: Neuroradiology, Hospices Civils de Lyon, Bron, France – sequence: 5 givenname: Roxana surname: Ameli fullname: Ameli, Roxana organization: Neuroradiology, Hospices Civils de Lyon, Bron, France – sequence: 6 givenname: Andrea surname: Filip fullname: Filip, Andrea organization: Neuroradiology, Hospices Civils de Lyon, Bron, France – sequence: 7 givenname: Roberto surname: Riva fullname: Riva, Roberto organization: Neuroradiology, Hospices Civils de Lyon, Bron, France – sequence: 8 givenname: Laurent surname: Derex fullname: Derex, Laurent organization: Stroke Department, Hospices Civils de Lyon, Lyon, France – sequence: 9 givenname: Charles surname: De Bourguignon fullname: De Bourguignon, Charles organization: Centre d'Investigations Cliniques, Hospices Civils de Lyon, Lyon, France – sequence: 10 givenname: Laura orcidid: 0000-0001-9165-5763 surname: Mechtouff fullname: Mechtouff, Laura organization: Stroke Department, Hospices Civils de Lyon, Lyon, France – sequence: 11 givenname: Omer F surname: Eker fullname: Eker, Omer F organization: MYRIAD, CREATIS, Villeurbanne, France – sequence: 12 givenname: Norbert surname: Nighoghossian fullname: Nighoghossian, Norbert organization: Stroke Department, Hospices Civils de Lyon, Lyon, France – sequence: 13 givenname: Yves surname: Berthezene fullname: Berthezene, Yves organization: MYRIAD, CREATIS, Villeurbanne, France |
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CitedBy_id | crossref_primary_10_1093_braincomms_fcae393 crossref_primary_10_1016_j_ejro_2023_100524 crossref_primary_10_1097_WCO_0000000000001235 crossref_primary_10_1007_s10334_023_01068_0 |
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PublicationTitle | Journal of neurointerventional surgery |
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Snippet | AimsTo evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume... To evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume (FIV). This... To evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume (FIV).AIMSTo... Aims To evaluate the performance of three MR perfusion software packages (A: RAPID; B: OleaSphere; and C: Philips) in predicting final infarct volume (FIV).... |
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SubjectTerms | Algorithms Automation Brain Ischemia - diagnostic imaging Brain Ischemia - surgery Carotid arteries Cerebral Infarction - therapy Cohort Studies Decomposition Humans Life Sciences MR perfusion Neuroimaging Patients Perfusion Population Software Software packages Stroke Stroke - therapy Thrombectomy Thrombolytic drugs Tomography, X-Ray Computed Veins & arteries |
Title | Assessment of three MR perfusion software packages in predicting final infarct volume after mechanical thrombectomy |
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