Search Results - "Uno, Mio"

Deep convolutional neural networks to predict cardiovascular risk from computed tomography by Zeleznik, Roman, Foldyna, Borek, Eslami, Parastou, Weiss, Jakob, Alexander, Ivanov, Taron, Jana, Parmar, Chintan, Alvi, Raza M., Banerji, Dahlia, Uno, Mio, Kikuchi, Yasuka, Karady, Julia, Zhang, Lili, Scholtz, Jan-Erik, Mayrhofer, Thomas, Lyass, Asya, Mahoney, Taylor F., Massaro, Joseph M., Vasan, Ramachandran S., Douglas, Pamela S., Hoffmann, Udo, Lu, Michael T., Aerts, Hugo J. W. L.

“…Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible on all computed tomography (CT) scans of the chest, this…”
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Diagnostic Accuracy of Endocardial-to-Epicardial Myocardial Blood Flow Ratio for the Detection of Significant Coronary Artery Disease With Dynamic Myocardial Perfusion Dual-Source Computed Tomography by Goto, Yoshitaka, Kitagawa, Kakuya, Uno, Mio, Nakamori, Shiro, Ito, Tatsuro, Nagasawa, Naoki, Dohi, Kaoru, Sakuma, Hajime

“…Background:Previous dynamic stress computed tomography perfusion (CTP) studies used absolute myocardial blood flow (MBF in mL/100 g/min) as a threshold to…”
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Comparison of Displacement Encoding With Stimulated Echoes to Magnetic Resonance Feature Tracking for the Assessment of Myocardial Strain in Patients With Acute Myocardial Infarction by Goto, Yoshitaka, MD, Ishida, Masaki, MD, Takase, Shinichi, AS, Sigfridsson, Andreas, PhD, Uno, Mio, MD, Nagata, Motonori, MD, Ichikawa, Yasutaka, MD, Kitagawa, Kakuya, MD, Sakuma, Hajime, MD

“…The aim of this study was to compare myocardial strain by cardiovascular magnetic resonance feature tracking (CMR-FT) to those derived from displacement…”
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Underestimation of myocardial blood flow by dynamic perfusion CT: Explanations by two-compartment model analysis and limited temporal sampling of dynamic CT by Ishida, Masaki, Kitagawa, Kakuya, Ichihara, Takashi, Natsume, Takahiro, Nakayama, Ryohei, Nagasawa, Naoki, Kubooka, Makiko, Ito, Tatsuro, Uno, Mio, Goto, Yoshitaka, Nagata, Motonori, Sakuma, Hajime

“…Abstract Purpose Previous studies using dynamic perfusion CT and volume perfusion CT (VPCT) software consistently underestimated the stress myocardial blood…”
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Cardiomyopathy: progress in diagnosis and treatments. Topics: III. Diagnosis leading to selection of therapy; 4. Imaging of cardiomyopathy by Uno, Mio, Ishida, Masaki, Sakuma, Hajime

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Abstract 4138237: Clinical Utility of T2 Mapping for the Assessment of Myocardial Inflammation in Patients With Cardiac Sarcoidosis by Uno, Mio, Kosuge, Hisanori, Fujita, Yasuhiro, Hida, Satoshi, Satomi, Kazuhiro

“…Abstract only Introduction: 18 F-FDG PET has been used for the evaluation of active inflammatory lesions in cardiac sarcoidosis (CS), but it is burdensome for…”
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An elderly patient with severe aortic stenosis and myocardial infarction with a huge mobile thrombus as complication in the left ventricle by Takei, Yasuyoshi, Tanaka, Nobuhiro, Ogawa, Masahi, Murata, Naotaka, Hoshino, Koh, Saitoh, Yukio, Uno, Mio, Yamashina, Akira, Koizumi, Nobusato, Matsuyama, Katsuhiko, Kuinose, Masahiko, Ogino, Hitoshi

“…An 86-year-old woman was admitted for emergency treatment of increasing dyspnea. Transthoracic echocardiography revealed decreased left ventricular systolic…”
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Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA by Ishida, Masaki, Nakayama, Ryohei, Uno, Mio, Ito, Tatsuro, Goto, Yoshitaka, Ichikawa, Yasutaka, Nagata, Motonori, Kitagawa, Kakuya, Nakamori, Shiro, Dohi, Kaoru, Ito, Masaaki, Sakuma, Hajime

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Incremental Prognostic Value of Myocardial Blood Flow Quantified With Stress Dynamic Computed Tomography Perfusion Imaging by Nakamura, Satoshi, Kitagawa, Kakuya, Goto, Yoshitaka, Omori, Taku, Kurita, Tairo, Yamada, Akimasa, Takafuji, Masafumi, Uno, Mio, Dohi, Kaoru, Sakuma, Hajime

“…This study aimed to evaluate whether myocardial blood flow (MBF) quantified with dynamic computed tomography perfusion imaging (CTP) has an incremental…”
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Native T1 mapping allows for the accurate detection of the segments with chronic myocardial infarction in patients with known or suspected coronary artery disease by Goto, Yoshitaka, Ishida, Masaki, Yamada, Akimasa, Uno, Mio, Nakamori, Shiro, Nagata, Motonori, Ichikawa, Yasutaka, Kitagawa, Kakuya, Ito, Masaaki, Sakuma, Hajime

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Fermi function constrained deconvolution underestimates myocardial blood flow and myocardial perfusion reserve regardless of saturation correction of arterial input curve by Yamada, Akimasa, Ishida, Masaki, Ichihara, Takashi, Natsume, Takahiro, Tsuge, Shinsuke, Goto, Yoshitaka, Uno, Mio, Nagata, Motonori, Ichikawa, Yasutaka, Kitagawa, Kakuya, Sakuma, Hajime

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Age-corrected measurement of extracellular volume fraction in remote normal myocardium is correlated with extent of risk area in AMI patients by Goto, Yoshitaka, Ishida, Masaki, Ito, Tatsuro, Uno, Mio, Nagata, Motonori, Kitagawa, Kakuya, Nakamori, Shiro, Dohi, Kaoru, Ito, Masaaki, Sakuma, Hajime

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A Case of Successful Management for Pulmonary Edema by Three Kinds of Non-invasive Positive Airway Pressure Device in Heart Failure by Kato, Kota, Takata, Yoshifumi, Nishihata, Yosuke, Yamaguchi, Tasuku, Shiina, Kazuki, Usui, Yasuhiro, Uno, Mio, Saito, Yukio, Tanaka, Hirokazu, Yamashina, Akira

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Abstract 12896: Association of Automated Deep Learning Coronary Artery Calcium Score on ECG-Gated and Non-ECG Gated CT With Future Cardiac Events: Insights From ROMICAT-II and NLST by Lu, Michael T, Zeleznik, Roman, Foldyna, Borek, Eslami, Parastou, Ivanov, Alexander, Parmar, Chintan, Weiss, Jakob, Taron, Jana, Alvi, Raza, Banerji, Dahlia, UNO, Mio, Kikuchi, Yasuka, Scholtz, Jan-Erik, Aerts, Hugo, Hoffmann, Udo

“…IntroductionThe 2018 ACC/AHA multisociety guidelines promote the coronary artery calcium (CAC) score to inform decision-making. New developments in deep…”
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