Cargando…
One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD
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 P...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553813/ https://www.ncbi.nlm.nih.gov/pubmed/34409572 http://dx.doi.org/10.1007/s12350-021-02741-4 |
_version_ | 1784806561971961856 |
---|---|
author | 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. |
author_facet | 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. |
author_sort | Nesterov, Sergey V. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12350-021-02741-4. |
format | Online Article Text |
id | pubmed-9553813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-95538132022-10-13 One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD 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. J Nucl Cardiol Original Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12350-021-02741-4. Springer International Publishing 2021-08-18 2022 /pmc/articles/PMC9553813/ /pubmed/34409572 http://dx.doi.org/10.1007/s12350-021-02741-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article 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. One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD |
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 |
title_full | One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD |
title_fullStr | One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD |
title_full_unstemmed | One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD |
title_short | One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD |
title_sort | one-tissue compartment model for myocardial perfusion quantification with n-13 ammonia pet provides matching results: a cross-comparison between carimas, flowquant, and pmod |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553813/ https://www.ncbi.nlm.nih.gov/pubmed/34409572 http://dx.doi.org/10.1007/s12350-021-02741-4 |
work_keys_str_mv | AT nesterovsergeyv onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod AT sciagraroberto onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod AT orozcoluiseduardojuarez onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod AT priorjohno onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod AT settimoleonardo onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod AT hanchunlei onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod AT deshayesemmanuel onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod AT dekemproberta onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod AT ryzhkovadarjav onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod AT gwetkileml onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod AT knuutijuhanim onetissuecompartmentmodelformyocardialperfusionquantificationwithn13ammoniapetprovidesmatchingresultsacrosscomparisonbetweencarimasflowquantandpmod |