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A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta

We evaluated the feasibility of myocardial perfusion ratio to the aorta (MPR) in static computed tomography perfusion (CTP) for detecting myocardial perfusion abnormalities assessed by single-photon emission computed tomography (SPECT). Twenty-five patients with suspected coronary artery disease who...

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Autores principales: Kouchi, Takanori, Tanabe, Yuki, Takemoto, Takumasa, Yoshida, Kazuki, Yamamoto, Yuta, Miyazaki, Shigehiro, Fukuyama, Naoki, Nishiyama, Hikaru, Inaba, Shinji, Kawaguchi, Naoto, Kido, Tomoyuki, Yamaguchi, Osamu, Kido, Teruhito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8999663/
https://www.ncbi.nlm.nih.gov/pubmed/35407424
http://dx.doi.org/10.3390/jcm11071816
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author Kouchi, Takanori
Tanabe, Yuki
Takemoto, Takumasa
Yoshida, Kazuki
Yamamoto, Yuta
Miyazaki, Shigehiro
Fukuyama, Naoki
Nishiyama, Hikaru
Inaba, Shinji
Kawaguchi, Naoto
Kido, Tomoyuki
Yamaguchi, Osamu
Kido, Teruhito
author_facet Kouchi, Takanori
Tanabe, Yuki
Takemoto, Takumasa
Yoshida, Kazuki
Yamamoto, Yuta
Miyazaki, Shigehiro
Fukuyama, Naoki
Nishiyama, Hikaru
Inaba, Shinji
Kawaguchi, Naoto
Kido, Tomoyuki
Yamaguchi, Osamu
Kido, Teruhito
author_sort Kouchi, Takanori
collection PubMed
description We evaluated the feasibility of myocardial perfusion ratio to the aorta (MPR) in static computed tomography perfusion (CTP) for detecting myocardial perfusion abnormalities assessed by single-photon emission computed tomography (SPECT). Twenty-five patients with suspected coronary artery disease who underwent dynamic CTP and SPECT were retrospectively evaluated. CTP images scanned at a sub-optimal phase for detecting myocardial perfusion abnormalities were selected from dynamic CTP images and used as static CTP images in the present study. The diagnostic accuracy of MPR derived from static CTP was compared to those of visual assessment and conventional quantitative parameters such as myocardial CT attenuation (HU) and transmural perfusion ratio (TPR). The area under the curve of MPR (0.84; 95% confidence interval [CI], 0.76–0.90) was significantly higher than those of myocardial CT attenuation (0.73; 95% CI, 0.65–0.79) and TPR (0.76; 95% CI, 0.67–0.83) (p < 0.05). Sensitivity and specificity were 67% (95% CI, 54–77%) and 90% (95% CI, 86–92%) for visual assessment, 51% (95% CI, 39–63%) and 86% (95% CI, 82–89%) for myocardial CT attenuation, 63% (95% CI, 51–74%) and 84% (95% CI, 80–88%) for TPR, and 78% (95% CI, 66–86%) and 84% (95% CI, 80–88%) for MPR, respectively. MPR showed higher diagnostic accuracy for detecting myocardial perfusion abnormality compared with myocardial CT attenuation and TPR.
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spelling pubmed-89996632022-04-12 A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta Kouchi, Takanori Tanabe, Yuki Takemoto, Takumasa Yoshida, Kazuki Yamamoto, Yuta Miyazaki, Shigehiro Fukuyama, Naoki Nishiyama, Hikaru Inaba, Shinji Kawaguchi, Naoto Kido, Tomoyuki Yamaguchi, Osamu Kido, Teruhito J Clin Med Article We evaluated the feasibility of myocardial perfusion ratio to the aorta (MPR) in static computed tomography perfusion (CTP) for detecting myocardial perfusion abnormalities assessed by single-photon emission computed tomography (SPECT). Twenty-five patients with suspected coronary artery disease who underwent dynamic CTP and SPECT were retrospectively evaluated. CTP images scanned at a sub-optimal phase for detecting myocardial perfusion abnormalities were selected from dynamic CTP images and used as static CTP images in the present study. The diagnostic accuracy of MPR derived from static CTP was compared to those of visual assessment and conventional quantitative parameters such as myocardial CT attenuation (HU) and transmural perfusion ratio (TPR). The area under the curve of MPR (0.84; 95% confidence interval [CI], 0.76–0.90) was significantly higher than those of myocardial CT attenuation (0.73; 95% CI, 0.65–0.79) and TPR (0.76; 95% CI, 0.67–0.83) (p < 0.05). Sensitivity and specificity were 67% (95% CI, 54–77%) and 90% (95% CI, 86–92%) for visual assessment, 51% (95% CI, 39–63%) and 86% (95% CI, 82–89%) for myocardial CT attenuation, 63% (95% CI, 51–74%) and 84% (95% CI, 80–88%) for TPR, and 78% (95% CI, 66–86%) and 84% (95% CI, 80–88%) for MPR, respectively. MPR showed higher diagnostic accuracy for detecting myocardial perfusion abnormality compared with myocardial CT attenuation and TPR. MDPI 2022-03-25 /pmc/articles/PMC8999663/ /pubmed/35407424 http://dx.doi.org/10.3390/jcm11071816 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kouchi, Takanori
Tanabe, Yuki
Takemoto, Takumasa
Yoshida, Kazuki
Yamamoto, Yuta
Miyazaki, Shigehiro
Fukuyama, Naoki
Nishiyama, Hikaru
Inaba, Shinji
Kawaguchi, Naoto
Kido, Tomoyuki
Yamaguchi, Osamu
Kido, Teruhito
A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta
title A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta
title_full A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta
title_fullStr A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta
title_full_unstemmed A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta
title_short A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta
title_sort novel quantitative parameter for static myocardial computed tomography: myocardial perfusion ratio to the aorta
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8999663/
https://www.ncbi.nlm.nih.gov/pubmed/35407424
http://dx.doi.org/10.3390/jcm11071816
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