One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD

To cross-compare three software packages (SPs)—Carimas, FlowQuant, and PMOD—to quantify myocardial perfusion at global, regional, and segmental levels. Stress N-13 ammonia PET scans of 48 patients with HCM were analyzed in three centers using Carimas, FlowQuant, and PMOD. Values agreed if they had a...

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Published in	Journal of nuclear cardiology Vol. 29; no. 5; pp. 2543 - 2550
Main Authors	Nesterov, Sergey V., Sciagrà, Roberto, Orozco, Luis Eduardo Juarez, Prior, John O., Settimo, Leonardo, Han, Chunlei, Deshayes, Emmanuel, deKemp, Robert A., Ryzhkova, Darja V., Gwet, Kilem L., Knuuti, Juhani M.
Format	Journal Article
Language	English
Published	Cham Elsevier Inc 01.10.2022 Springer International Publishing Springer Nature B.V
Subjects	absolute quantification agreement Ammonia Cardiology Coronary Circulation Humans Imaging Imaging software Medicine Medicine & Public Health Myocardial Perfusion Imaging N-13 ammonia Nuclear Medicine Original Original Article Perfusion Positron-Emission Tomography quantitative imaging Radiology Reproducibility Reproducibility of Results Software Software packages standardization of PET quantitative imaging Myocardial perfusion imaging N-13 ammonia agreement reproducibility ICC LV Imaging software MPQ MBF absolute quantification HCM TKM MFR 1TCM positron emission tomography standardization of PET SP MMRM
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ISSN	1071-3581 1532-6551 1532-6551
DOI	10.1007/s12350-021-02741-4

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Abstract	To cross-compare three software packages (SPs)—Carimas, FlowQuant, and PMOD—to quantify myocardial perfusion at global, regional, and segmental levels. Stress N-13 ammonia PET scans of 48 patients with HCM were analyzed in three centers using Carimas, FlowQuant, and PMOD. Values agreed if they had an ICC > 0.75 and a difference < 20% of the median across all observers. When using 1TCM on the global level, the agreement was good, and the maximum difference between 1TCM MBF values was 17.2% (ICC = 0.83). On the regional level, the agreement was acceptable except in the LCx region (25.5% difference, ICC = 0.74) between FlowQuant and PMOD. Carimas-1TCM agreed well with PMOD-1TCM and FlowQuant-1TCM. Values obtained with FlowQuant-1TCM had a somewhat lesser agreement with PMOD-1TCM, especially at the segmental level. The global and regional MBF values (with one exception) agree well between the different software packages. There is significant variability in segmental values, mainly located in the LCx region and segments. Out of the studied tools, Carimas can be used interchangeably with both PMOD and FlowQuant for 1TCM implementation on all levels—global, regional, and segmental.
AbstractList	To cross-compare three software packages (SPs)-Carimas, FlowQuant, and PMOD-to quantify myocardial perfusion at global, regional, and segmental levels.PURPOSETo cross-compare three software packages (SPs)-Carimas, FlowQuant, and PMOD-to quantify myocardial perfusion at global, regional, and segmental levels.Stress N-13 ammonia PET scans of 48 patients with HCM were analyzed in three centers using Carimas, FlowQuant, and PMOD. Values agreed if they had an ICC > 0.75 and a difference < 20% of the median across all observers.MATERIALS AND METHODSStress N-13 ammonia PET scans of 48 patients with HCM were analyzed in three centers using Carimas, FlowQuant, and PMOD. Values agreed if they had an ICC > 0.75 and a difference < 20% of the median across all observers.When using 1TCM on the global level, the agreement was good, and the maximum difference between 1TCM MBF values was 17.2% (ICC = 0.83). On the regional level, the agreement was acceptable except in the LCx region (25.5% difference, ICC = 0.74) between FlowQuant and PMOD. Carimas-1TCM agreed well with PMOD-1TCM and FlowQuant-1TCM. Values obtained with FlowQuant-1TCM had a somewhat lesser agreement with PMOD-1TCM, especially at the segmental level.RESULTSWhen using 1TCM on the global level, the agreement was good, and the maximum difference between 1TCM MBF values was 17.2% (ICC = 0.83). On the regional level, the agreement was acceptable except in the LCx region (25.5% difference, ICC = 0.74) between FlowQuant and PMOD. Carimas-1TCM agreed well with PMOD-1TCM and FlowQuant-1TCM. Values obtained with FlowQuant-1TCM had a somewhat lesser agreement with PMOD-1TCM, especially at the segmental level.The global and regional MBF values (with one exception) agree well between the different software packages. There is significant variability in segmental values, mainly located in the LCx region and segments. Out of the studied tools, Carimas can be used interchangeably with both PMOD and FlowQuant for 1TCM implementation on all levels-global, regional, and segmental.CONCLUSIONSThe global and regional MBF values (with one exception) agree well between the different software packages. There is significant variability in segmental values, mainly located in the LCx region and segments. Out of the studied tools, Carimas can be used interchangeably with both PMOD and FlowQuant for 1TCM implementation on all levels-global, regional, and segmental. Purpose To cross-compare three software packages (SPs)—Carimas, FlowQuant, and PMOD—to quantify myocardial perfusion at global, regional, and segmental levels. Materials and Methods Stress N-13 ammonia PET scans of 48 patients with HCM were analyzed in three centers using Carimas, FlowQuant, and PMOD. Values agreed if they had an ICC > 0.75 and a difference < 20% of the median across all observers. Results When using 1TCM on the global level, the agreement was good, and the maximum difference between 1TCM MBF values was 17.2% (ICC = 0.83). On the regional level, the agreement was acceptable except in the LCx region (25.5% difference, ICC = 0.74) between FlowQuant and PMOD. Carimas-1TCM agreed well with PMOD-1TCM and FlowQuant-1TCM. Values obtained with FlowQuant-1TCM had a somewhat lesser agreement with PMOD-1TCM, especially at the segmental level. Conclusions The global and regional MBF values (with one exception) agree well between the different software packages. There is significant variability in segmental values, mainly located in the LCx region and segments. Out of the studied tools, Carimas can be used interchangeably with both PMOD and FlowQuant for 1TCM implementation on all levels—global, regional, and segmental. To cross-compare three software packages (SPs)-Carimas, FlowQuant, and PMOD-to quantify myocardial perfusion at global, regional, and segmental levels. Stress N-13 ammonia PET scans of 48 patients with HCM were analyzed in three centers using Carimas, FlowQuant, and PMOD. Values agreed if they had an ICC > 0.75 and a difference < 20% of the median across all observers. When using 1TCM on the global level, the agreement was good, and the maximum difference between 1TCM MBF values was 17.2% (ICC = 0.83). On the regional level, the agreement was acceptable except in the LCx region (25.5% difference, ICC = 0.74) between FlowQuant and PMOD. Carimas-1TCM agreed well with PMOD-1TCM and FlowQuant-1TCM. Values obtained with FlowQuant-1TCM had a somewhat lesser agreement with PMOD-1TCM, especially at the segmental level. The global and regional MBF values (with one exception) agree well between the different software packages. There is significant variability in segmental values, mainly located in the LCx region and segments. Out of the studied tools, Carimas can be used interchangeably with both PMOD and FlowQuant for 1TCM implementation on all levels-global, regional, and segmental. PurposeTo cross-compare three software packages (SPs)—Carimas, FlowQuant, and PMOD—to quantify myocardial perfusion at global, regional, and segmental levels.Materials and MethodsStress N-13 ammonia PET scans of 48 patients with HCM were analyzed in three centers using Carimas, FlowQuant, and PMOD. Values agreed if they had an ICC > 0.75 and a difference < 20% of the median across all observers.ResultsWhen using 1TCM on the global level, the agreement was good, and the maximum difference between 1TCM MBF values was 17.2% (ICC = 0.83). On the regional level, the agreement was acceptable except in the LCx region (25.5% difference, ICC = 0.74) between FlowQuant and PMOD. Carimas-1TCM agreed well with PMOD-1TCM and FlowQuant-1TCM. Values obtained with FlowQuant-1TCM had a somewhat lesser agreement with PMOD-1TCM, especially at the segmental level.ConclusionsThe global and regional MBF values (with one exception) agree well between the different software packages. There is significant variability in segmental values, mainly located in the LCx region and segments. Out of the studied tools, Carimas can be used interchangeably with both PMOD and FlowQuant for 1TCM implementation on all levels—global, regional, and segmental.
Author	Sciagrà, Roberto Deshayes, Emmanuel Nesterov, Sergey V. Orozco, Luis Eduardo Juarez Settimo, Leonardo Prior, John O. Ryzhkova, Darja V. Han, Chunlei Knuuti, Juhani M. deKemp, Robert A. Gwet, Kilem L.
Author_xml	– sequence: 1 givenname: Sergey V. surname: Nesterov fullname: Nesterov, Sergey V. email: sergey.nesterov@tyks.fi organization: Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland – sequence: 2 givenname: Roberto surname: Sciagrà fullname: Sciagrà, Roberto organization: University of Florence, Florence, Italy – sequence: 3 givenname: Luis Eduardo Juarez surname: Orozco fullname: Orozco, Luis Eduardo Juarez organization: Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland – sequence: 4 givenname: John O. surname: Prior fullname: Prior, John O. organization: University of Lausanne, Lausanne, Switzerland – sequence: 5 givenname: Leonardo surname: Settimo fullname: Settimo, Leonardo organization: University of Florence, Florence, Italy – sequence: 6 givenname: Chunlei surname: Han fullname: Han, Chunlei organization: Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland – sequence: 7 givenname: Emmanuel surname: Deshayes fullname: Deshayes, Emmanuel organization: University of Lausanne, Lausanne, Switzerland – sequence: 8 givenname: Robert A. surname: deKemp fullname: deKemp, Robert A. organization: National Cardiac PET Center, University of Ottawa Heart Institute, Ottawa, Canada – sequence: 9 givenname: Darja V. surname: Ryzhkova fullname: Ryzhkova, Darja V. organization: Almazov Federal Heart, Blood and Endocrinology Centre, St. Petersburg, Russia – sequence: 10 givenname: Kilem L. surname: Gwet fullname: Gwet, Kilem L. organization: Advanced Analytics LLC, Gaithersburg, MD, USA – sequence: 11 givenname: Juhani M. surname: Knuuti fullname: Knuuti, Juhani M. organization: Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/34409572$$D View this record in MEDLINE/PubMed
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Keywords	quantitative imaging Myocardial perfusion imaging N-13 ammonia agreement reproducibility ICC LV Imaging software MPQ MBF absolute quantification HCM TKM MFR 1TCM positron emission tomography standardization of PET SP MMRM
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PublicationTitle	Journal of nuclear cardiology
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Snippet	To cross-compare three software packages (SPs)—Carimas, FlowQuant, and PMOD—to quantify myocardial perfusion at global, regional, and segmental levels. Stress... Purpose To cross-compare three software packages (SPs)—Carimas, FlowQuant, and PMOD—to quantify myocardial perfusion at global, regional, and segmental levels.... To cross-compare three software packages (SPs)-Carimas, FlowQuant, and PMOD-to quantify myocardial perfusion at global, regional, and segmental levels. Stress... PurposeTo cross-compare three software packages (SPs)—Carimas, FlowQuant, and PMOD—to quantify myocardial perfusion at global, regional, and segmental... To cross-compare three software packages (SPs)-Carimas, FlowQuant, and PMOD-to quantify myocardial perfusion at global, regional, and segmental...
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SubjectTerms	absolute quantification agreement Ammonia Cardiology Coronary Circulation Humans Imaging Imaging software Medicine Medicine & Public Health Myocardial Perfusion Imaging N-13 ammonia Nuclear Medicine Original Original Article Perfusion Positron-Emission Tomography quantitative imaging Radiology Reproducibility Reproducibility of Results Software Software packages standardization of PET
Title	One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD
URI	https://dx.doi.org/10.1007/s12350-021-02741-4 https://link.springer.com/article/10.1007/s12350-021-02741-4 https://www.ncbi.nlm.nih.gov/pubmed/34409572 https://www.proquest.com/docview/2723843215 https://www.proquest.com/docview/2562833487 https://pubmed.ncbi.nlm.nih.gov/PMC9553813
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