Evidence map›Paper›PMID 42065633›Full record

ArticleJournal of applied clinical medical physics2026

Impact of software tools and kinetic model selection on myocardial blood flow and flow reserve quantitation in

Naochika Akiya, Kenta Miwa, Akira Ando, Noriaki Miyaji, Tensho Yamao, Kaito Wachi, Masaki Masubuchi, Shu Kimura, Reiji Ito, Arata Komatsu and 4 more

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Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Naochika AkiyaDepartment of Radiological Sciences, Graduate School of Health Sciences, Fukushima Medical University, Fukushima-shi, Fukushima, Japan.
Kenta MiwaDepartment of Radiological Sciences, Graduate School of Health Sciences, Fukushima Medical University, Fukushima-shi, Fukushima, Japan.ORCID https://orcid.org/0000-0003-0802-0180
Akira AndoDivision of Diagnostic Radiology Imaging, Sapporo Kojinkai Memorial Hospital, Sapporo-shi, Hokkaido, Japan.
Noriaki MiyajiDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, Fukushima-shi, Fukushima, Japan.
Tensho YamaoDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, Fukushima-shi, Fukushima, Japan.
Kaito WachiDepartment of Radiological Sciences, Graduate School of Health Sciences, Fukushima Medical University, Fukushima-shi, Fukushima, Japan.
Masaki MasubuchiDepartment of Radiological Sciences, Graduate School of Health Sciences, Fukushima Medical University, Fukushima-shi, Fukushima, Japan.
Shu KimuraFukushima Medical University Aizu Medical Center Hospital, Aizuwakamatsu-shi, Fukushima, Japan.
Reiji ItoDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, Fukushima-shi, Fukushima, Japan.
Arata KomatsuDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, Fukushima-shi, Fukushima, Japan.
Takuma HorikawaDepartment of Radiological Sciences, School of Health Sciences, Fukushima Medical University, Fukushima-shi, Fukushima, Japan.
Kenji FukushimaDepartment of Radiology and Nuclear Medicine, Fukushima Medical University, Fukushima-shi, Fukushima, Japan.
Atsutaka OkizakiDepartment of Radiology, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.
Shiro MiuraDepartment of Cardiology, Sapporo Kojinkai Memorial Hospital, Sapporo-shi, Hokkaido, Japan.

Funding

Fukushima Institute for Research, Education and Innovation (F-REI) JPFR25040302KAKENHI Grant-in-Aid for Scientific Research (C) 24K15814Ministry of Education, Culture, Sports, Science and Technology (MEXT)
6 · The paper itself

Abstract

backgroundQuantitative assessment of myocardial perfusion using PURPOSE: The present study aimed to evaluate the variability and agreement of values obtained using three quantitative software tools and to assess the impact of kinetic model selection on myocardial blood flow (MBF) and MFR estimates in a clinical setting.

methodsWe analyzed 100 patients who underwent

resultsMBF and MFR showed high correlations among the software tools, although stress MBF statistically differed between PMOD and QPET. Correlation coefficients between software tools ranged from 0.81 to 0.91 at the global level, and Bland-Altman analysis demonstrated overall agreement with residual variability. In contrast, MBF and MFR values varied depending on the compartment model. The UCLA model yielded the highest stress MBF and MFR, and correlation coefficients between models ranged from 0.43 to 0.99 at the global level. Although Bland-Altman analysis showed overall agreement, noticeable scatter persisted and the UCLA model exhibited a positive bias.

conclusionQuantitative MBF and MFR estimates from

Indexed as

AmmoniaCoronary Artery DiseaseCoronary CirculationFractional Flow Reserve, MyocardialImage Processing, Computer-AssistedMyocardial Perfusion ImagingNitrogen RadioisotopesPositron-Emission TomographyPositron Emission Tomography Computed TomographySoftwareAgedFemaleHumansKineticsMaleMiddle AgedAmmoniaNitrogen-13Nitrogen RadioisotopesRadiopharmaceuticals13N‐ammonia positron emission tomographymyocardial blood flowperfusiontissue compartment model

Identifiers

PMID42065633
PMCPMC13134436

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.