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Article ; Online: Editorial Comment: On-Site Deep Learning-Based FFR-CT-A Novel Method to Evaluate Functionally Significant Stenosis.

Tomizawa, Nobuo

2023 Volume 221, Issue 4, Page(s) 470

MeSH term(s)	Humans ; Deep Learning ; Constriction, Pathologic ; Fractional Flow Reserve, Myocardial ; Coronary Stenosis ; Coronary Angiography/methods ; Tomography, X-Ray Computed
Language	English
Publishing date	2023-05-03
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	82076-3
ISSN	1546-3141 ; 0361-803X ; 0092-5381
ISSN (online)	1546-3141
ISSN	0361-803X ; 0092-5381
DOI	10.2214/AJR.23.29561
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Article ; Online: Could coronary calcification identified at non-gated chest CT be a predictor for cardiovascular events in breast cancer patients?

Tomizawa, Nobuo

International journal of cardiology

2019 Volume 282, Page(s) 108–109

MeSH term(s)	Breast Neoplasms ; Calcinosis ; Coronary Artery Disease ; Humans ; Tomography, X-Ray Computed
Language	English
Publishing date	2019-02-01
Publishing country	Netherlands
Document type	Editorial ; Comment
ZDB-ID	779519-1
ISSN	1874-1754 ; 0167-5273
ISSN (online)	1874-1754
ISSN	0167-5273
DOI	10.1016/j.ijcard.2019.01.103
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Article: Multi-agent system collision model to predict the transmission of seasonal influenza in Tokyo from 2014-2015 to 2018-2019 seasons.

Tomizawa, Nobuo / Kumamaru, Kanako K / Okamoto, Koh / Aoki, Shigeki

Heliyon

2021 Volume 7, Issue 8, Page(s) e07859

Abstract: The objective of this study was to apply the multi-agent system (MAS) collision model to predict seasonal influenza epidemic in Tokyo for 5 seasons (2014-2015 to 2018-2019 seasons). The MAS collision model assumes each individual as a particle inside a ... ...

Abstract	The objective of this study was to apply the multi-agent system (MAS) collision model to predict seasonal influenza epidemic in Tokyo for 5 seasons (2014-2015 to 2018-2019 seasons). The MAS collision model assumes each individual as a particle inside a square domain. The particles move within the domain and disease transmission occurs in a certain probability when an infected particle collides a susceptible particle. The probability was determined based on the basic reproduction number calculated using the actual data. The simulation started with 1 infected particle and 999 susceptible particles to correspond to the onset of an influenza epidemic. We performed the simulation for 150 days and the calculation was repeated 500 times for each season. To improve the accuracy of the prediction, we selected simulations which have similar incidence number to the actual data in specific weeks. Analysis including all simulations corresponded good to the actual data in 2014-2015 and 2015-2016 seasons. However, the model failed to predict the sharp peak incidence after the New Year Holidays in 2016-2017, 2017-2018, and 2018-2019 seasons. A model which included simulations selected by the week of peak incidence predicted the week and number of peak incidence better than a model including all simulations in all seasons. The reproduction number was also similar to the actual data in this model. In conclusion, the MAS collision model predicted the epidemic curve with good accuracy by selecting the simulations using the actual data without changing the initial parameters such as the basic reproduction number and infection time.
Language	English
Publishing date	2021-08-23
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2021.e07859
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Article: Multi-agent system collision model to predict the transmission of seasonal influenza in Tokyo from 2014–2015 to 2018–2019 seasons

Tomizawa, Nobuo / Kumamaru, Kanako K. / Okamoto, Koh / Aoki, Shigeki

Heliyon. 2021 Aug., v. 7, no. 8

2021

Abstract: The objective of this study was to apply the multi-agent system (MAS) collision model to predict seasonal influenza epidemic in Tokyo for 5 seasons (2014–2015 to 2018–2019 seasons). The MAS collision model assumes each individual as a particle inside a ... ...

Abstract	The objective of this study was to apply the multi-agent system (MAS) collision model to predict seasonal influenza epidemic in Tokyo for 5 seasons (2014–2015 to 2018–2019 seasons). The MAS collision model assumes each individual as a particle inside a square domain. The particles move within the domain and disease transmission occurs in a certain probability when an infected particle collides a susceptible particle. The probability was determined based on the basic reproduction number calculated using the actual data. The simulation started with 1 infected particle and 999 susceptible particles to correspond to the onset of an influenza epidemic. We performed the simulation for 150 days and the calculation was repeated 500 times for each season. To improve the accuracy of the prediction, we selected simulations which have similar incidence number to the actual data in specific weeks. Analysis including all simulations corresponded good to the actual data in 2014–2015 and 2015–2016 seasons. However, the model failed to predict the sharp peak incidence after the New Year Holidays in 2016–2017, 2017–2018, and 2018–2019 seasons. A model which included simulations selected by the week of peak incidence predicted the week and number of peak incidence better than a model including all simulations in all seasons. The reproduction number was also similar to the actual data in this model. In conclusion, the MAS collision model predicted the epidemic curve with good accuracy by selecting the simulations using the actual data without changing the initial parameters such as the basic reproduction number and infection time.
Keywords	basic reproduction number ; influenza ; models ; prediction ; probability ; reproduction
Language	English
Dates of publication	2021-08
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2021.e07859
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Article ; Online: Dual-energy CT imaging of atherosclerotic plaque using novel ultrasmall superparamagnetic iron oxide in hyperlipidemic rabbits.

Sato, Hideyuki / Fujimoto, Shinichiro / Kawaguchi, Yuko O / Nozaki, Yui O / Tomizawa, Nobuo / Kogure, Yosuke / Minamino, Tohru

Acta radiologica (Stockholm, Sweden : 1987)

2022 Volume 64, Issue 4, Page(s) 1718–1724

Abstract: Background: A study using magnetic resonance imaging (MRI) revealed that ultra-small superparamagnetic iron oxide is phagocytosed by macrophages. However, MRI has limitations in obtaining clear images due to its poor spatial and temporal resolutions.: ...

Abstract	Background: A study using magnetic resonance imaging (MRI) revealed that ultra-small superparamagnetic iron oxide is phagocytosed by macrophages. However, MRI has limitations in obtaining clear images due to its poor spatial and temporal resolutions. Purpose: To examine whether the use of dual-energy computed tomography (DECT) facilitated the visualization of carboxymethyl-diethylaminoethyl dextran magnetite ultra-small superparamagnetic iron oxide (CMEADM-U) accumulation in arteriosclerotic lesions using hyperlipidemic rabbits. Material and methods: CMEADM-U at 0.5 mmol Fe/kg was administered to Watanabe hereditary atherosclerotic (WHHL) rabbits (n = 6, 24 sections) and New Zealand white (NZW) rabbits (n = 2, 6 sections). After 72 h, DECT was performed to prepare virtual monochromatic images (35 keV, 70 keV) and an iron-based map. Subsequently, the aorta was collected along with hematoxylin and eosin staining, Berlin blue (BB) staining, and RAM11 immunostaining. Results: In the WHHL rabbits, CMEADM-U accumulation was not observed at 70 keV. However, CMEADM-U accumulation consistent with an arteriosclerotic lesion was observed at 35 keV and the iron-based map. On the other hand, in the NZW rabbits, there was no accumulation of CMEADM-U in any images. Further, there were significant differences in the iron-based map value at the site of accumulation among the grades of expression on BB staining and RAM11 immunostaining. In addition, there was a good correlation at 35 kev and iron-based map value (r = 0.42; Conclusion: DECT imaging for CMEADM-U facilitated the assessment of macrophage accumulation in atherosclerotic lesions in an in vivo study using a rabbit model of induced aortic atherosclerosis.
MeSH term(s)	Rabbits ; Animals ; Plaque, Atherosclerotic/diagnostic imaging ; Plaque, Atherosclerotic/pathology ; Dextrans ; Contrast Media ; Magnetite Nanoparticles ; Atherosclerosis/diagnostic imaging ; Atherosclerosis/pathology ; Magnetic Resonance Imaging/methods ; Ferrosoferric Oxide ; Iron ; Tomography, X-Ray Computed
Chemical Substances	ferumoxtran-10 ; ferric oxide (1K09F3G675) ; Dextrans ; Contrast Media ; Magnetite Nanoparticles ; Ferrosoferric Oxide (XM0M87F357) ; Iron (E1UOL152H7)
Language	English
Publishing date	2022-10-13
Publishing country	England
Document type	Journal Article
ZDB-ID	105-3
ISSN	1600-0455 ; 0284-1851 ; 0349-652X
ISSN (online)	1600-0455
ISSN	0284-1851 ; 0349-652X
DOI	10.1177/02841851221131904
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Article ; Online: Coronary Artery Vorticity to Predict Functional Plaque Progression in Participants with Type 2 Diabetes Mellitus.

Tomizawa, Nobuo / Fujimoto, Shinichiro / Mita, Tomoya / Takahashi, Daigo / Nozaki, Yui / Fan, Ruiheng / Kudo, Ayako / Kawaguchi, Yuko / Takamura, Kazuhisa / Hiki, Makoto / Kurita, Mika / Kumamaru, Kanako K / Watada, Hirotaka / Minamino, Tohru / Aoki, Shigeki

Radiology. Cardiothoracic imaging

2023 Volume 5, Issue 4, Page(s) e230016

Abstract: Purpose: To investigate whether vorticity could predict functional plaque progression better than high-risk plaque (HRP) and lesion length (LL) in individuals with type 2 diabetes mellitus.: Materials and methods: This single-center prospective study ...

Abstract	Purpose: To investigate whether vorticity could predict functional plaque progression better than high-risk plaque (HRP) and lesion length (LL) in individuals with type 2 diabetes mellitus. Materials and methods: This single-center prospective study included 61 participants (mean age, 61 years ± 9 [SD]; 43 male participants) who underwent serial coronary CT angiography at 2 years, with 20%-70% stenosis at initial CT between October 2015 and March 2020. The number of the following HRP characteristics was recorded: low attenuation, positive remodeling, spotty calcification, and napkin-ring sign. Vorticity was calculated using a mesh-free simulation. A decrease in CT fractional flow reserve larger than 0.05 indicated functional progression. Models using HRP and LL and vorticity were compared using receiver operating characteristic curve analysis. Results: Of the 94 vessels evaluated, 25 vessels (27%) showed functional progression. Vessels with functional progression showed higher vorticity at distal stenosis (984 sec Conclusion: In participants with type 2 diabetes mellitus, vorticity at distal stenosis was a better predictor of functional plaque progression than HRP and LL.
Language	English
Publishing date	2023-08-24
Publishing country	United States
Document type	Journal Article
ISSN	2638-6135
ISSN (online)	2638-6135
DOI	10.1148/ryct.230016
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Article ; Online: Fully automated coronary artery calcium quantification on electrocardiogram-gated non-contrast cardiac computed tomography using deep-learning with novel Heart-labelling method.

Takahashi, Daigo / Fujimoto, Shinichiro / Nozaki, Yui O / Kudo, Ayako / Kawaguchi, Yuko O / Takamura, Kazuhisa / Hiki, Makoto / Sato, Eisuke / Tomizawa, Nobuo / Daida, Hiroyuki / Minamino, Tohru

European heart journal open

2023 Volume 3, Issue 6, Page(s) oead113

Abstract: Aims: To develop an artificial intelligence (AI)-model which enables fully automated accurate quantification of coronary artery calcium (CAC), using deep learning (DL) on electrocardiogram (ECG)-gated non-contrast cardiac computed tomography (gated CCT) ...

Abstract	Aims: To develop an artificial intelligence (AI)-model which enables fully automated accurate quantification of coronary artery calcium (CAC), using deep learning (DL) on electrocardiogram (ECG)-gated non-contrast cardiac computed tomography (gated CCT) images. Methods and results: Retrospectively, 560 gated CCT images (including 60 synthetic images) performed at our institution were used to train AI-model, which can automatically divide heart region into five areas belonging to left main (LM), left anterior descending (LAD), circumflex (LCX), right coronary artery (RCA), and another. Total and vessel-specific CAC score (CACS) in each scan were manually evaluated. AI-model was trained with novel Heart-labelling method Conclusion: Present Heart-labelling method provides a further improvement in fully automated, total, and vessel-specific CAC quantification on gated CCT.
Language	English
Publishing date	2023-11-08
Publishing country	England
Document type	Journal Article
ISSN	2752-4191
ISSN (online)	2752-4191
DOI	10.1093/ehjopen/oead113
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Article ; Online: Energy loss is related to CT fractional flow reserve progression in type 2 diabetes mellitus patients.

Tomizawa, Nobuo / Fujimoto, Shinichiro / Takahashi, Daigo / Nozaki, Yui / Fan, Ruiheng / Kudo, Ayako / Kawaguchi, Yuko / Takamura, Kazuhisa / Hiki, Makoto / Kadowaki, Satoshi / Ikeda, Fuki / Kumamaru, Kanako K / Watada, Hirotaka / Minamino, Tohru / Aoki, Shigeki

American heart journal plus : cardiology research and practice

2023 Volume 35, Page(s) 100328

Abstract: Background: We aimed to investigate the diagnostic value of energy loss (EL) and baseline CT fractional flow reserve (CT-FFR) computed using computational fluid dynamics to predict functional progression of coronary stenosis in patients with type 2 ... ...

Abstract	Background: We aimed to investigate the diagnostic value of energy loss (EL) and baseline CT fractional flow reserve (CT-FFR) computed using computational fluid dynamics to predict functional progression of coronary stenosis in patients with type 2 diabetes mellitus. Methods: This single-center prospective study included 61 patients with type 2 diabetes mellitus (mean age, 61 years ±9 [SD]; 43 men) showing 20-70 % stenosis who underwent serial coronary CT performed at 2-year interval between October 2015 and March 2020. A mesh-free simulation was performed to calculate the CT-FFR and EL. Functional progression was defined as ≥ 0.05 decrease in CT-FFR on the second coronary CT. Models using baseline CT-FFR and EL were compared by analyzing the receiver operating characteristic (ROC) curve. Results: Of the 94 vessels evaluated, 25 vessels (27 %) showed functional progression. EL at distal stenosis (EL Conclusion: When EL
Language	English
Publishing date	2023-09-28
Publishing country	United States
Document type	Journal Article
ISSN	2666-6022
ISSN (online)	2666-6022
DOI	10.1016/j.ahjo.2023.100328
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Article ; Online: Impact of a Deep Learning-based Super-resolution Image Reconstruction Technique on High-contrast Computed Tomography: A Phantom Study.

Sato, Hideyuki / Fujimoto, Shinichiro / Tomizawa, Nobuo / Inage, Hidekazu / Yokota, Takuya / Kudo, Hikaru / Fan, Ruiheng / Kawamoto, Keiichi / Honda, Yuri / Kobayashi, Takayuki / Minamino, Tohru / Kogure, Yosuke

Academic radiology

2023 Volume 30, Issue 11, Page(s) 2657–2665

Abstract: Rationale and objectives: Deep-learning-based super-resolution image reconstruction (DLSRR) is a novel image reconstruction technique that is expected to contribute to improvement in spatial resolution as well as noise reduction through learning from ... ...

Abstract	Rationale and objectives: Deep-learning-based super-resolution image reconstruction (DLSRR) is a novel image reconstruction technique that is expected to contribute to improvement in spatial resolution as well as noise reduction through learning from high-resolution computed tomography (CT). This study aims to evaluate image quality obtained with DLSRR and assess its clinical potential. Materials and methods: CT images of a Mercury CT 4.0 phantom were obtained using a 320-row multi-detector scanner at tube currents of 100, 200, and 300 mA. Image data were reconstructed by filtered back projection (FBP), hybrid iterative reconstruction (HIR), model-based iterative reconstruction (MBIR), deep-learning-based image reconstruction (DLR), and DLSRR at image reconstruction strength levels of mild, standard, and strong. Noise power spectrum (NPS), task transfer function (TTF), and detectability index were calculated. Results: The magnitude of the noise-reducing effect in comparison with FBP was in the order MBIR <HIR <DLR <DLSRR. The resolution property was in the order HIR <FBP <DLR <MBIR <DLSRR. The detectability index was highest for DLSRR. The maximum and mean of the NPS shifted towards lower frequencies for HIR and MBIR compared with FBP, and similar shifts were observed for DLR and DLSRR. For each image reconstruction technique, NPS decreased with increasing reconstruction strength level, but no change was observed in TTF.<br />Conclusion: The present results suggest that DLSRR can achieve greater noise reduction and improved spatial resolution in the high-contrast region compared with conventional DLR and iterative reconstruction techniques.
Language	English
Publishing date	2023-01-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	1355509-1
ISSN	1878-4046 ; 1076-6332
ISSN (online)	1878-4046
ISSN	1076-6332
DOI	10.1016/j.acra.2022.12.040
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Article ; Online: First validation of stress myocardial perfusion scintigraphy using a novel reconstruction process.

Kudo, Ayako / Fujimoto, Shinichiro / Aoshima, Chihiro / Kawaguchi, Yuko O / Nozaki, Yui O / Takahashi, Daigo / Takamura, Kazuhisa / Hiki, Makoto / Tomizawa, Nobuo / Murakami, Koji / Aoki, Shigeki / Minamino, Tohru

Annals of nuclear medicine

2023 Volume 37, Issue 7, Page(s) 390–399

Abstract: Background: A new image reconstruction process termed the MUS method (masking process on unsmoothed images) was developed to eliminate artifacts, especially those in the inferior wall. We compared diagnostic performance between the MUS and conventional ... ...

Abstract	Background: A new image reconstruction process termed the MUS method (masking process on unsmoothed images) was developed to eliminate artifacts, especially those in the inferior wall. We compared diagnostic performance between the MUS and conventional method in stress myocardial perfusion SPECT (MPS). Methods: Enrolled were 126 patients who underwent stress-rest MPS with Results: Sensitivity was comparable between the MUS method and the conventional method (ordered subset expectation maximization; OSEM) (51% vs 54%, respectively; (p = 0.366), specificity was significantly higher using the MUS method (87% vs 77%, respectively; p < 0.05), and diagnostic performance was higher using the MUS method (area under curve [AUC], conventional 0.61 vs. MUS 0.69, p = 0.138). In evaluation of 87 patients after excluding 39 who received additional prone imaging, sensitivity using the MUS method was 44%, which was comparable to 44% using the conventional method but specificity was 90%, which was significantly higher than 77% using the conventional method (p < 0.05). The diagnostic performance of the MUS method was higher (AUC, conventional 0.60 vs. MUS 0.67, p = 0.185). Conclusion: Use of the MUS method improved specificity in diagnosis of IHD while maintaining sensitivity, compared with the conventional method. The MUS method can achieve an improvement in diagnostic accuracy equivalent to the supine position, particularly in patients who have difficulty performing the prone position, without increasing the patient burden.
MeSH term(s)	Humans ; Constriction, Pathologic ; Sensitivity and Specificity ; Technetium Tc 99m Sestamibi ; Tomography, Emission-Computed, Single-Photon/methods ; Coronary Angiography ; Myocardial Ischemia/diagnostic imaging ; Perfusion Imaging ; Myocardial Perfusion Imaging/methods ; Coronary Artery Disease/diagnostic imaging
Chemical Substances	Technetium Tc 99m Sestamibi (971Z4W1S09)
Language	English
Publishing date	2023-04-12
Publishing country	Japan
Document type	Journal Article
ZDB-ID	1146984-5
ISSN	1864-6433 ; 0914-7187
ISSN (online)	1864-6433
ISSN	0914-7187
DOI	10.1007/s12149-023-01837-w
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