Comparison of three commonly used CT perfusion software packages in patients with acute ischemic stroke
© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ..
BACKGROUND AND PURPOSE: CT perfusion (CTP) might support decision making in patients with acute ischemic stroke by providing perfusion maps of ischemic tissue. Currently, the reliability of CTP is hampered by varying results between different post-processing software packages. The purpose of this study is to compare ischemic core volumes estimated by IntelliSpace Portal (ISP) and syngo.via with core volumes as estimated by RAPID.
METHODS: Thirty-five CTP datasets from patients in the MR CLEAN trial were post-processed. Core volumes were estimated with ISP using default settings and with syngo.via using three different settings: default settings (method A); additional smoothing filter (method B); and adjusted settings (method C). The results were compared with RAPID. Agreement between methods was assessed using Bland-Altman analysis and intraclass correlation coefficient (ICC). Accuracy for detecting volumes up to 25 mL, 50 mL, and 70 mL was assessed. Final infarct volumes were determined on follow-up non-contrast CT.
RESULTS: Median core volume was 50 mL with ISP, 41 mL with syngo.via method A, 20 mL with method B, 36 mL with method C, and 11 mL with RAPID. Agreement ranged from poor (ISP: ICC 0.41; method A: ICC 0.23) to good (method B: ICC 0.83; method C: ICC 0.85). The bias (1.8 mL) and limits of agreement (-27, 31 mL) were the smallest with syngo.via with additional smoothing (method B). Agreement for detecting core volumes ≤25 mL with ISP was 54% and 57%, 85% and 74% for syngo.via methods A, B, and C, respectively.
CONCLUSION: Best agreement with RAPID software is provided by syngo.via default settings with additional smoothing. Moreover, this method has the highest agreement in categorizing patients with small core volumes.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
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| Enthalten in: |
Journal of neurointerventional surgery - 11(2019), 12 vom: 14. Dez., Seite 1249-1256 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Koopman, Miou S [VerfasserIn] |
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| Links: |
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| Themen: |
Brain ischemia |
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| Anmerkungen: |
Date Completed 05.02.2020 Date Revised 05.02.2020 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1136/neurintsurg-2019-014822 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM298198118 |
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| 100 | 1 | |a Koopman, Miou S |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Comparison of three commonly used CT perfusion software packages in patients with acute ischemic stroke |
| 264 | 1 | |c 2019 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
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| 500 | |a Date Completed 05.02.2020 | ||
| 500 | |a Date Revised 05.02.2020 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ. | ||
| 520 | |a BACKGROUND AND PURPOSE: CT perfusion (CTP) might support decision making in patients with acute ischemic stroke by providing perfusion maps of ischemic tissue. Currently, the reliability of CTP is hampered by varying results between different post-processing software packages. The purpose of this study is to compare ischemic core volumes estimated by IntelliSpace Portal (ISP) and syngo.via with core volumes as estimated by RAPID | ||
| 520 | |a METHODS: Thirty-five CTP datasets from patients in the MR CLEAN trial were post-processed. Core volumes were estimated with ISP using default settings and with syngo.via using three different settings: default settings (method A); additional smoothing filter (method B); and adjusted settings (method C). The results were compared with RAPID. Agreement between methods was assessed using Bland-Altman analysis and intraclass correlation coefficient (ICC). Accuracy for detecting volumes up to 25 mL, 50 mL, and 70 mL was assessed. Final infarct volumes were determined on follow-up non-contrast CT | ||
| 520 | |a RESULTS: Median core volume was 50 mL with ISP, 41 mL with syngo.via method A, 20 mL with method B, 36 mL with method C, and 11 mL with RAPID. Agreement ranged from poor (ISP: ICC 0.41; method A: ICC 0.23) to good (method B: ICC 0.83; method C: ICC 0.85). The bias (1.8 mL) and limits of agreement (-27, 31 mL) were the smallest with syngo.via with additional smoothing (method B). Agreement for detecting core volumes ≤25 mL with ISP was 54% and 57%, 85% and 74% for syngo.via methods A, B, and C, respectively | ||
| 520 | |a CONCLUSION: Best agreement with RAPID software is provided by syngo.via default settings with additional smoothing. Moreover, this method has the highest agreement in categorizing patients with small core volumes | ||
| 650 | 4 | |a Comparative Study | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Randomized Controlled Trial | |
| 650 | 4 | |a CT perfusion | |
| 650 | 4 | |a brain ischemia | |
| 650 | 4 | |a ischemic core | |
| 650 | 4 | |a post-processing software | |
| 650 | 4 | |a stroke | |
| 700 | 1 | |a Berkhemer, Olvert A |e verfasserin |4 aut | |
| 700 | 1 | |a Geuskens, Ralph R E G |e verfasserin |4 aut | |
| 700 | 1 | |a Emmer, Bart J |e verfasserin |4 aut | |
| 700 | 1 | |a van Walderveen, Marianne A A |e verfasserin |4 aut | |
| 700 | 1 | |a Jenniskens, Sjoerd F M |e verfasserin |4 aut | |
| 700 | 1 | |a van Zwam, Wim H |e verfasserin |4 aut | |
| 700 | 1 | |a van Oostenbrugge, Robert J |e verfasserin |4 aut | |
| 700 | 1 | |a van der Lugt, Aad |e verfasserin |4 aut | |
| 700 | 1 | |a Dippel, Diederik W J |e verfasserin |4 aut | |
| 700 | 1 | |a Beenen, Ludo F |e verfasserin |4 aut | |
| 700 | 1 | |a Roos, Yvo B W E M |e verfasserin |4 aut | |
| 700 | 1 | |a Marquering, Henk A |e verfasserin |4 aut | |
| 700 | 1 | |a Majoie, Charles B L M |e verfasserin |4 aut | |
| 700 | 0 | |a MR CLEAN Trial Investigators |e verfasserin |4 aut | |
| 700 | 1 | |a Fransen, Puck Ss |e investigator |4 oth | |
| 700 | 1 | |a Beumer, Debbie |e investigator |4 oth | |
| 700 | 1 | |a Van den Berg, Lucie A |e investigator |4 oth | |
| 700 | 1 | |a Lingsma, Hester F |e investigator |4 oth | |
| 700 | 1 | |a Yoo, Albert J |e investigator |4 oth | |
| 700 | 1 | |a Schonewille, Wouter J |e investigator |4 oth | |
| 700 | 1 | |a Vos, Jan Albert |e investigator |4 oth | |
| 700 | 1 | |a Nederkoorn, Paul J |e investigator |4 oth | |
| 700 | 1 | |a Wermer, Marieke Jh |e investigator |4 oth | |
| 700 | 1 | |a Staals, Julie |e investigator |4 oth | |
| 700 | 1 | |a Hofmeijer, Jeannette |e investigator |4 oth | |
| 700 | 1 | |a Van Oostayen, Jacques A |e investigator |4 oth | |
| 700 | 1 | |a Lycklama À Nijeholt, Geert J |e investigator |4 oth | |
| 700 | 1 | |a Boiten, Jelis |e investigator |4 oth | |
| 700 | 1 | |a Brouwer, Patrick A |e investigator |4 oth | |
| 700 | 1 | |a Emmer, Bart J |e investigator |4 oth | |
| 700 | 1 | |a De Bruijn, Sebastiaan F |e investigator |4 oth | |
| 700 | 1 | |a Van Dijk, Lukas C |e investigator |4 oth | |
| 700 | 1 | |a Kappelle, L Jaap |e investigator |4 oth | |
| 700 | 1 | |a Lo, Rob H |e investigator |4 oth | |
| 700 | 1 | |a Van Dijk, Ewoud J |e investigator |4 oth | |
| 700 | 1 | |a Vries, Joost De |e investigator |4 oth | |
| 700 | 1 | |a Van Tuijl, Julia H |e investigator |4 oth | |
| 700 | 1 | |a J van Rooij, Willem Jan |e investigator |4 oth | |
| 700 | 1 | |a Van den Berg, Jan Sp |e investigator |4 oth | |
| 700 | 1 | |a Van Hasselt, Boudewijn Aam |e investigator |4 oth | |
| 700 | 1 | |a Aerden, Leo Am |e investigator |4 oth | |
| 700 | 1 | |a Dallinga, René J |e investigator |4 oth | |
| 700 | 1 | |a Visser, Marieke C |e investigator |4 oth | |
| 700 | 1 | |a Bot, Joseph Cj |e investigator |4 oth | |
| 700 | 1 | |a Vroomen, Patrick C |e investigator |4 oth | |
| 700 | 1 | |a Eshghi, Omid |e investigator |4 oth | |
| 700 | 1 | |a Schreuder, Tobien Hcml |e investigator |4 oth | |
| 700 | 1 | |a Heijboer, Roel Jj |e investigator |4 oth | |
| 700 | 1 | |a Keizer, Koos |e investigator |4 oth | |
| 700 | 1 | |a Tielbeek, Alexander V |e investigator |4 oth | |
| 700 | 1 | |a Den Hertog, Heleen M |e investigator |4 oth | |
| 700 | 1 | |a Gerrits, Dick G |e investigator |4 oth | |
| 700 | 1 | |a Van den Berg, Renske M |e investigator |4 oth | |
| 700 | 1 | |a Karas, Giorgos B |e investigator |4 oth | |
| 700 | 1 | |a Steyerberg, Ewout W |e investigator |4 oth | |
| 700 | 1 | |a Flach, Zwenneke |e investigator |4 oth | |
| 700 | 1 | |a Marquering, Henk A |e investigator |4 oth | |
| 700 | 1 | |a Sprengers, Marieke Es |e investigator |4 oth | |
| 700 | 1 | |a Den Berg, René Van |e investigator |4 oth | |
| 700 | 1 | |a Koudstaal, Peter J |e investigator |4 oth | |
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