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 inJournal of neurointerventional surgery Vol. 15; no. 4; pp. 393 - 398
Main Authors Bani-Sadr, Alexandre, Cho, Tae-Hee, Cappucci, Matteo, Hermier, Marc, Ameli, Roxana, Filip, Andrea, Riva, Roberto, Derex, Laurent, De Bourguignon, Charles, Mechtouff, Laura, Eker, Omer F, Nighoghossian, Norbert, Berthezene, Yves
Format Journal Article
LanguageEnglish
Published BMA House, Tavistock Square, London, WC1H 9JR BMJ Publishing Group Ltd 01.04.2023
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ISSN1759-8478
1759-8486
1759-8486
DOI10.1136/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.
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
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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
Cites_doi 10.1016/S0140-6736(20)31179-X
10.1002/ana.24543
10.1161/STR.0000000000000211
10.1056/NEJMoa1813046
10.1097/WCO.0000000000000520
10.3174/ajnr.A2271
10.1136/neurintsurg-2020-015966
10.1161/STROKEAHA.111.000135
10.1002/mrm.10522
10.1056/NEJMoa1713973
10.1161/STROKEAHA.119.028337
10.1161/STROKEAHA.112.661009
10.1136/neurintsurg-2019-014822
10.1056/NEJMoa1706442
10.1177/1747493018765235
10.1056/NEJMoa1414792
10.1161/01.STR.27.4.761
10.1016/j.nicl.2014.10.010
10.1007/s00330-020-07150-8
10.1161/STROKEAHA.120.030620
10.1161/01.STR.32.5.1140
10.1007/s00330-021-08211-2
10.1001/jamaneurol.2019.2109
10.1056/NEJMoa1415061
10.1161/STROKEAHA.118.023177
10.1161/STROKEAHA.116.013147
10.1002/mrm.1910360510
10.1161/STROKEAHA.118.024295
10.1161/STROKEAHA.118.022540
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Issue 4
Keywords Stroke
Thrombectomy
MR perfusion
Language English
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References Sarraj, Hassan, Savitz (R28) 2019; 76
Deutschmann, Hinteregger, Wießpeiner (R14) 2021; 31
Albers, Marks, Kemp (R4) 2018; 378
Austein, Riedel, Kerby (R10) 2016; 47
Campbell, Mitchell, Kleinig (R1) 2015; 372
Wheeler, Mlynash, Inoue (R18) 2013; 44
Ma, Campbell, Parsons (R5) 2019; 380
Rava, Snyder, Mokin (R12) 2021; 13
Nogueira, Jadhav, Haussen (R3) 2018; 378
Pistocchi, Strambo, Bartolini (R15) 2022; 32
Panni, Gory, Xie (R29) 2019; 50
Goyal, Ospel, Menon (R24) 2020; 51
Bivard, Parsons (R7) 2018; 31
Powers, Rabinstein, Ackerson (R16) 2019; 50
Garcia, Lassen, Weiller (R22) 1996; 27
Ostergaard, Weisskoff, Chesler (R20) 1996; 36
Albers, Goyal, Jahan (R17) 2016; 79
Saver, Goyal, Bonafe (R2) 2015; 372
Koopman, Berkhemer, Geuskens (R11) 2019; 11
Krongold, Almekhlafi, Demchuk (R27) 2015; 7
Rao, Christensen, Yennu (R19) 2019; 50
Labeyrie, Turc, Hess (R23) 2012; 43
Wu, Østergaard, Weisskoff (R21) 2003; 50
Campbell, Khatri (R9) 2020; 396
Tsivgoulis, Katsanos, Schellinger (R8) 2018; 49
Demeestere, Wouters, Christensen (R13) 2020; 51
Røhl, Østergaard, Simonsen (R25) 2001; 32
Campbell, Parsons (R6) 2018; 13
Tourdias, Renou, Sibon (R26) 2011; 32
2024052309453699000_15.4.393.8
2024052309453699000_15.4.393.5
2024052309453699000_15.4.393.4
2024052309453699000_15.4.393.3
2024052309453699000_15.4.393.2
2024052309453699000_15.4.393.1
2024052309453699000_15.4.393.29
2024052309453699000_15.4.393.24
2024052309453699000_15.4.393.23
2024052309453699000_15.4.393.26
2024052309453699000_15.4.393.25
2024052309453699000_15.4.393.20
2024052309453699000_15.4.393.22
Campbell (2024052309453699000_15.4.393.6) 2018; 13
2024052309453699000_15.4.393.21
Krongold (2024052309453699000_15.4.393.27) 2015; 7
Rao (2024052309453699000_15.4.393.19) 2019; 50
Bivard (2024052309453699000_15.4.393.7) 2018; 31
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References_xml – volume: 396
  start-page: 129
  year: 2020
  ident: R9
  article-title: Stroke
  publication-title: The Lancet
  doi: 10.1016/S0140-6736(20)31179-X
– volume: 79
  start-page: 76
  year: 2016
  ident: R17
  article-title: Ischemic core and hypoperfusion volumes predict infarct size in SWIFT PRIME
  publication-title: Ann Neurol
  doi: 10.1002/ana.24543
– volume: 50
  year: 2019
  ident: R16
  article-title: Guidelines for the early management of patients with acute ischemic stroke: 2019 update to the 2018 guidelines for the early management of acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association
  publication-title: Stroke
  doi: 10.1161/STR.0000000000000211
– volume: 380
  start-page: 1795
  year: 2019
  ident: R5
  article-title: Thrombolysis guided by perfusion imaging up to 9 hours after onset of stroke
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa1813046
– volume: 31
  start-page: 23
  year: 2018
  ident: R7
  article-title: Tissue is more important than time: insights into acute ischemic stroke from modern brain imaging
  publication-title: Curr Opin Neurol
  doi: 10.1097/WCO.0000000000000520
– volume: 32
  start-page: 352
  year: 2011
  ident: R26
  article-title: Final cerebral infarct volume is predictable by MR imaging at 1 week
  publication-title: AJNR Am J Neuroradiol
  doi: 10.3174/ajnr.A2271
– volume: 13
  start-page: 130
  year: 2021
  ident: R12
  article-title: Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere, Vitrea, and RAPID
  publication-title: J Neurointerv Surg
  doi: 10.1136/neurintsurg-2020-015966
– volume: 44
  start-page: 681
  year: 2013
  ident: R18
  article-title: Early diffusion-weighted imaging and perfusion-weighted imaging lesion volumes forecast final infarct size in DEFUSE 2
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.111.000135
– volume: 50
  start-page: 164
  year: 2003
  ident: R21
  article-title: Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix
  publication-title: Magn Reson Med
  doi: 10.1002/mrm.10522
– volume: 378
  start-page: 708
  year: 2018
  ident: R4
  article-title: Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa1713973
– volume: 51
  start-page: 1017
  year: 2020
  ident: R13
  article-title: Review of perfusion imaging in acute ischemic stroke: from time to tissue
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.119.028337
– volume: 43
  start-page: 2986
  year: 2012
  ident: R23
  article-title: Diffusion lesion reversal after thrombolysis: a MR correlate of early neurological improvement
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.112.661009
– volume: 11
  start-page: 1249
  year: 2019
  ident: R11
  article-title: Comparison of three commonly used CT perfusion software packages in patients with acute ischemic stroke
  publication-title: J Neurointerv Surg
  doi: 10.1136/neurintsurg-2019-014822
– volume: 378
  start-page: 11
  year: 2018
  ident: R3
  article-title: Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa1706442
– volume: 13
  start-page: 554
  year: 2018
  ident: R6
  article-title: Imaging selection for acute stroke intervention
  publication-title: Int J Stroke
  doi: 10.1177/1747493018765235
– volume: 372
  start-page: 1009
  year: 2015
  ident: R1
  article-title: Endovascular therapy for ischemic stroke with perfusion-imaging selection
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa1414792
– volume: 27
  start-page: 761
  year: 1996
  ident: R22
  article-title: Ischemic stroke and incomplete infarction
  publication-title: Stroke
  doi: 10.1161/01.STR.27.4.761
– volume: 7
  start-page: 1
  year: 2015
  ident: R27
  article-title: Final infarct volume estimation on 1-week follow-up MR imaging is feasible and is dependent on recanalization status
  publication-title: Neuroimage Clin
  doi: 10.1016/j.nicl.2014.10.010
– volume: 31
  start-page: 658
  year: 2021
  ident: R14
  article-title: Automated MRI perfusion-diffusion mismatch estimation may be significantly different in individual patients when using different software packages
  publication-title: Eur Radiol
  doi: 10.1007/s00330-020-07150-8
– volume: 51
  start-page: 3147
  year: 2020
  ident: R24
  article-title: Challenging the ischemic core concept in acute ischemic stroke imaging
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.120.030620
– volume: 32
  start-page: 1140
  year: 2001
  ident: R25
  article-title: Viability thresholds of ischemic penumbra of hyperacute stroke defined by perfusion-weighted MRI and apparent diffusion coefficient
  publication-title: Stroke
  doi: 10.1161/01.STR.32.5.1140
– volume: 49
  start-page: 3067
  year: 2018
  ident: R8
  article-title: Advanced neuroimaging in stroke patient selection for mechanical thrombectomy: a systematic review and meta-analysis
  publication-title: Stroke
– volume: 32
  start-page: 1144
  year: 2022
  ident: R15
  article-title: MRI software for diffusion-perfusion mismatch analysis may impact on patients' selection and clinical outcome
  publication-title: Eur Radiol
  doi: 10.1007/s00330-021-08211-2
– volume: 76
  year: 2019
  ident: R28
  article-title: Outcomes of endovascular thrombectomy vs medical management alone in patients with large ischemic cores: a secondary analysis of the Optimizing Patient's Selection for Endovascular Treatment in Acute Ischemic Stroke (SELECT) study
  publication-title: JAMA Neurol
  doi: 10.1001/jamaneurol.2019.2109
– volume: 372
  start-page: 2285
  year: 2015
  ident: R2
  article-title: Stent-retriever thrombectomy after intravenous t-PA vs. t-PA alone in stroke
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa1415061
– volume: 50
  start-page: 626
  year: 2019
  ident: R19
  article-title: Ischemic core and hypoperfusion volumes correlate with infarct size 24 hours after randomization in DEFUSE 3
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.118.023177
– volume: 50
  start-page: 1164
  year: 2019
  ident: R29
  article-title: Acute stroke with large ischemic core treated by thrombectomy: predictors of good outcome and mortality
  publication-title: Stroke
– volume: 47
  start-page: 2311
  year: 2016
  ident: R10
  article-title: Comparison of perfusion CT software to predict the final infarct volume after thrombectomy
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.116.013147
– volume: 36
  start-page: 715
  year: 1996
  ident: R20
  article-title: High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis
  publication-title: Magn Reson Med
  doi: 10.1002/mrm.1910360510
– ident: 2024052309453699000_15.4.393.1
  doi: 10.1056/NEJMoa1414792
– ident: 2024052309453699000_15.4.393.18
  doi: 10.1161/STROKEAHA.111.000135
– ident: 2024052309453699000_15.4.393.14
  doi: 10.1007/s00330-020-07150-8
– ident: 2024052309453699000_15.4.393.13
  doi: 10.1161/STROKEAHA.119.028337
– ident: 2024052309453699000_15.4.393.29
  doi: 10.1161/STROKEAHA.118.024295
– ident: 2024052309453699000_15.4.393.4
  doi: 10.1056/NEJMoa1713973
– ident: 2024052309453699000_15.4.393.8
  doi: 10.1161/STROKEAHA.118.022540
– ident: 2024052309453699000_15.4.393.10
  doi: 10.1161/STROKEAHA.116.013147
– volume: 50
  start-page: 626
  year: 2019
  ident: 2024052309453699000_15.4.393.19
  article-title: Ischemic core and hypoperfusion volumes correlate with infarct size 24 hours after randomization in DEFUSE 3
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.118.023177
– volume: 76
  year: 2019
  ident: 2024052309453699000_15.4.393.28
  article-title: Outcomes of endovascular thrombectomy vs medical management alone in patients with large ischemic cores: a secondary analysis of the Optimizing Patient's Selection for Endovascular Treatment in Acute Ischemic Stroke (SELECT) study
  publication-title: JAMA Neurol
  doi: 10.1001/jamaneurol.2019.2109
– ident: 2024052309453699000_15.4.393.22
  doi: 10.1161/01.STR.27.4.761
– ident: 2024052309453699000_15.4.393.24
  doi: 10.1161/STROKEAHA.120.030620
– volume: 396
  start-page: 129
  year: 2020
  ident: 2024052309453699000_15.4.393.9
  article-title: Stroke
  publication-title: The Lancet
  doi: 10.1016/S0140-6736(20)31179-X
– ident: 2024052309453699000_15.4.393.11
  doi: 10.1136/neurintsurg-2019-014822
– ident: 2024052309453699000_15.4.393.15
  doi: 10.1007/s00330-021-08211-2
– ident: 2024052309453699000_15.4.393.23
  doi: 10.1161/STROKEAHA.112.661009
– ident: 2024052309453699000_15.4.393.5
  doi: 10.1056/NEJMoa1813046
– ident: 2024052309453699000_15.4.393.26
  doi: 10.3174/ajnr.A2271
– ident: 2024052309453699000_15.4.393.17
  doi: 10.1002/ana.24543
– ident: 2024052309453699000_15.4.393.2
  doi: 10.1056/NEJMoa1415061
– volume: 13
  start-page: 554
  year: 2018
  ident: 2024052309453699000_15.4.393.6
  article-title: Imaging selection for acute stroke intervention
  publication-title: Int J Stroke
  doi: 10.1177/1747493018765235
– ident: 2024052309453699000_15.4.393.21
  doi: 10.1002/mrm.10522
– ident: 2024052309453699000_15.4.393.12
  doi: 10.1136/neurintsurg-2020-015966
– ident: 2024052309453699000_15.4.393.3
  doi: 10.1056/NEJMoa1706442
– ident: 2024052309453699000_15.4.393.16
  doi: 10.1161/STR.0000000000000211
– ident: 2024052309453699000_15.4.393.20
  doi: 10.1002/mrm.1910360510
– ident: 2024052309453699000_15.4.393.25
  doi: 10.1161/01.STR.32.5.1140
– volume: 7
  start-page: 1
  year: 2015
  ident: 2024052309453699000_15.4.393.27
  article-title: Final infarct volume estimation on 1-week follow-up MR imaging is feasible and is dependent on recanalization status
  publication-title: Neuroimage Clin
  doi: 10.1016/j.nicl.2014.10.010
– volume: 31
  start-page: 23
  year: 2018
  ident: 2024052309453699000_15.4.393.7
  article-title: Tissue is more important than time: insights into acute ischemic stroke from modern brain imaging
  publication-title: Curr Opin Neurol
  doi: 10.1097/WCO.0000000000000520
SSID ssj0067575
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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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StartPage 393
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
URI https://jnis.bmj.com/content/15/4/393.full
https://www.ncbi.nlm.nih.gov/pubmed/35318959
https://www.proquest.com/docview/2799365562
https://www.proquest.com/docview/2642327755
https://hal.science/hal-03703407
Volume 15
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