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Yamagishi M, Tamaki N, Akasaka T, Ikeda T, Ueshima K, Uemura S, Otsuji Y, Kihara Y, Kimura K, Kimura T, Kusama Y, Kumita S, Sakuma H, Jinzaki M, Daida H, Takeishi Y, Tada H, Chikamori T, Tsujita K, Teraoka K, Nakajima K, Nakata T, Nakatani S, Nogami A, Node K, Nohara A, Hirayama A, Funabashi N, Miura M, Mochizuki T, Yokoi H, Yoshioka K, Watanabe M, Asanuma T, Ishikawa Y, Ohara T, Kaikita K, Kasai T, Kato E, Kamiyama H, Kawashiri M, Kiso K, Kitagawa K, Kido T, Kinoshita T, Kiriyama T, Kume T, Kurata A, Kurisu S, Kosuge M, Kodani E, Sato A, Shiono Y, Shiomi H, Taki J, Takeuchi M, Tanaka A, Tanaka N, Tanaka R, Nakahashi T, Nakahara T, Nomura A, Hashimoto A, Hayashi K, Higashi M, Hiro T, Fukamachi D, Matsuo H, Matsumoto N, Miyauchi K, Miyagawa M, Yamada Y, Yoshinaga K, Wada H, Watanabe T, Ozaki Y, Kohsaka S, Shimizu W, Yasuda S, Yoshino H. JCS 2018 Guideline on Diagnosis of Chronic Coronary Heart Diseases. Circ J 2021; 85:402-572. [PMID: 33597320 DOI: 10.1253/circj.cj-19-1131] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
| | - Nagara Tamaki
- Department of Radiology, Kyoto Prefectural University of Medicine Graduate School
| | - Takashi Akasaka
- Department of Cardiovascular Medicine, Wakayama Medical University
| | - Takanori Ikeda
- Department of Cardiovascular Medicine, Toho University Graduate School
| | - Kenji Ueshima
- Center for Accessing Early Promising Treatment, Kyoto University Hospital
| | - Shiro Uemura
- Department of Cardiology, Kawasaki Medical School
| | - Yutaka Otsuji
- Second Department of Internal Medicine, University of Occupational and Environmental Health, Japan
| | - Yasuki Kihara
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
| | - Kazuo Kimura
- Division of Cardiology, Yokohama City University Medical Center
| | - Takeshi Kimura
- Department of Cardiovascular Medicine, Kyoto University Graduate School
| | | | | | - Hajime Sakuma
- Department of Radiology, Mie University Graduate School
| | | | - Hiroyuki Daida
- Department of Cardiovascular Medicine, Juntendo University Graduate School
| | | | - Hiroshi Tada
- Department of Cardiovascular Medicine, University of Fukui
| | | | - Kenichi Tsujita
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University
| | | | - Kenichi Nakajima
- Department of Functional Imaging and Artificial Intelligence, Kanazawa Universtiy
| | | | - Satoshi Nakatani
- Division of Functional Diagnostics, Department of Health Sciences, Osaka University Graduate School of Medicine
| | | | - Koichi Node
- Department of Cardiovascular Medicine, Saga University
| | - Atsushi Nohara
- Division of Clinical Genetics, Ishikawa Prefectural Central Hospital
| | | | | | - Masaru Miura
- Department of Cardiology, Tokyo Metropolitan Children's Medical Center
| | | | | | | | - Masafumi Watanabe
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University
| | - Toshihiko Asanuma
- Division of Functional Diagnostics, Department of Health Sciences, Osaka University Graduate School
| | - Yuichi Ishikawa
- Department of Pediatric Cardiology, Fukuoka Children's Hospital
| | - Takahiro Ohara
- Division of Community Medicine, Tohoku Medical and Pharmaceutical University
| | - Koichi Kaikita
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University
| | - Tokuo Kasai
- Department of Cardiology, Uonuma Kinen Hospital
| | - Eri Kato
- Department of Cardiovascular Medicine, Department of Clinical Laboratory, Kyoto University Hospital
| | | | - Masaaki Kawashiri
- Department of Cardiovascular and Internal Medicine, Kanazawa University
| | - Keisuke Kiso
- Department of Diagnostic Radiology, Tohoku University Hospital
| | - Kakuya Kitagawa
- Department of Advanced Diagnostic Imaging, Mie University Graduate School
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School
| | | | | | | | - Akira Kurata
- Department of Radiology, Ehime University Graduate School
| | - Satoshi Kurisu
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences
| | - Masami Kosuge
- Division of Cardiology, Yokohama City University Medical Center
| | - Eitaro Kodani
- Department of Internal Medicine and Cardiology, Nippon Medical School Tama Nagayama Hospital
| | - Akira Sato
- Department of Cardiology, University of Tsukuba
| | - Yasutsugu Shiono
- Department of Cardiovascular Medicine, Wakayama Medical University
| | - Hiroki Shiomi
- Department of Cardiovascular Medicine, Kyoto University Graduate School
| | - Junichi Taki
- Department of Nuclear Medicine, Kanazawa University
| | - Masaaki Takeuchi
- Department of Laboratory and Transfusion Medicine, Hospital of the University of Occupational and Environmental Health, Japan
| | | | - Nobuhiro Tanaka
- Department of Cardiology, Tokyo Medical University Hachioji Medical Center
| | - Ryoichi Tanaka
- Department of Reconstructive Oral and Maxillofacial Surgery, Iwate Medical University
| | | | | | - Akihiro Nomura
- Innovative Clinical Research Center, Kanazawa University Hospital
| | - Akiyoshi Hashimoto
- Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University
| | - Kenshi Hayashi
- Department of Cardiovascular Medicine, Kanazawa University Hospital
| | - Masahiro Higashi
- Department of Radiology, National Hospital Organization Osaka National Hospital
| | - Takafumi Hiro
- Division of Cardiology, Department of Medicine, Nihon University
| | | | - Hitoshi Matsuo
- Department of Cardiovascular Medicine, Gifu Heart Center
| | - Naoya Matsumoto
- Division of Cardiology, Department of Medicine, Nihon University
| | | | | | | | - Keiichiro Yoshinaga
- Department of Diagnostic and Therapeutic Nuclear Medicine, Molecular Imaging at the National Institute of Radiological Sciences
| | - Hideki Wada
- Department of Cardiology, Juntendo University Shizuoka Hospital
| | - Tetsu Watanabe
- Department of Cardiology, Pulmonology, and Nephrology, Yamagata University
| | - Yukio Ozaki
- Department of Cardiology, Fujita Medical University
| | - Shun Kohsaka
- Department of Cardiology, Keio University School of Medicine
| | - Wataru Shimizu
- Department of Cardiovascular Medicine, Nippon Medical School
| | - Satoshi Yasuda
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine
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Kurata M, Asano T, Mori H, Mase H, Nagumo S, Wakatsuki D, Shimojima H, Ebato M, Miyazaki A, Suzuki H. Can an increase in the pulmonary vein volume measured by three dimensional computed tomography predict the presence of atrial fibrillation? J Arrhythm 2019; 35:230-237. [PMID: 31007787 PMCID: PMC6457391 DOI: 10.1002/joa3.12158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 11/29/2018] [Accepted: 12/26/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Left atrial (LA) dilation is associated with morbidity of atrial fibrillation (AF). However, little is known about pulmonary vein (PV) dilation. PURPOSE We investigated the PV volume in the patients with AF. METHODS AND RESULTS We performed 3dimensional computed tomography (3DCT) in 155 patients and divided them into three groups: 19 patients without AF (non-AF group, mean age 66 ± 12 years), 50 with paroxysmal AF (PAF group, mean age 67 ± 8 years) and 24 with persistent AF (PeAF group, mean age 64 ± 10 years). The absence of AF was diagnosed in patients with a cardiac implantable electronic device for at least 1 year (mean: 59 ± 37 months). We determined the PV volume as the total volume from the orifice to the first branch of each PV. According to the echocardiographic data, the LA dimension (LAD) and LA volume index (LAVI) were largest in the PeAF group followed by the PAF and non-AF group. According to the morphometric data obtained on 3D-CT, the PV volume was similar in PeAF and PAF groups but significantly smaller in the non-AF group (median value: 24 vs 21 vs 14 mL, respectively). According to the receiver operating characteristic curve analysis, the area under the curve for the PV volume in the presence of AF was 0.80, and the optimum cut-off value was 17 mL (sensitivity 74%, specificity 80%). CONCLUSION The PV volume might be useful for predicting the presence of AF before increases in the LAD and LAVI on echocardiography.
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Affiliation(s)
- Masaaki Kurata
- Division of CardiologyDepartment of Internal medicineShowa University Fujigaoka HospitalYokohamaKanagawaJapan
- Department of BiochemistryShowa University Graduate School of MedicineYokohamaKanagawaJapan
| | - Taku Asano
- Division of CardiologyDepartment of Internal medicineShowa University Fujigaoka HospitalYokohamaKanagawaJapan
| | - Hiroyoshi Mori
- Division of CardiologyDepartment of Internal medicineShowa University Fujigaoka HospitalYokohamaKanagawaJapan
| | - Hiroshi Mase
- Division of CardiologyDepartment of Internal medicineShowa University Fujigaoka HospitalYokohamaKanagawaJapan
| | - Sakura Nagumo
- Division of CardiologyDepartment of Internal medicineShowa University Fujigaoka HospitalYokohamaKanagawaJapan
| | - Daisuke Wakatsuki
- Division of CardiologyDepartment of Internal medicineShowa University Fujigaoka HospitalYokohamaKanagawaJapan
| | - Hisa Shimojima
- Division of CardiologyDepartment of Internal medicineShowa University Fujigaoka HospitalYokohamaKanagawaJapan
| | - Mio Ebato
- Division of CardiologyDepartment of Internal medicineShowa University Fujigaoka HospitalYokohamaKanagawaJapan
| | - Akira Miyazaki
- Department of BiochemistryShowa University Graduate School of MedicineYokohamaKanagawaJapan
| | - Hiroshi Suzuki
- Division of CardiologyDepartment of Internal medicineShowa University Fujigaoka HospitalYokohamaKanagawaJapan
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3D SPECT/CT fusion using image data projection of bone SPECT onto 3D volume-rendered CT images: feasibility and clinical impact in the diagnosis of bone metastasis. Ann Nucl Med 2017; 31:304-314. [PMID: 28243844 PMCID: PMC5397460 DOI: 10.1007/s12149-017-1158-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2016] [Accepted: 02/05/2017] [Indexed: 11/21/2022]
Abstract
Purpose We developed a method of image data projection of bone SPECT into 3D volume-rendered CT images for 3D SPECT/CT fusion. The aims of our study were to evaluate its feasibility and clinical usefulness. Methods Whole-body bone scintigraphy (WB) and SPECT/CT scans were performed in 318 cancer patients using a dedicated SPECT/CT systems. Volume data of bone SPECT and CT were fused to obtain 2D SPECT/CT images. To generate our 3D SPECT/CT images, colored voxel data of bone SPECT were projected onto the corresponding location of the volume-rendered CT data after a semi-automatic bone extraction. Then, the resultant 3D images were blended with conventional volume-rendered CT images, allowing to grasp the three-dimensional relationship between bone metabolism and anatomy. WB and SPECT (WB + SPECT), 2D SPECT/CT fusion, and 3D SPECT/CT fusion were evaluated by two independent reviewers in the diagnosis of bone metastasis. The inter-observer variability and diagnostic accuracy in these three image sets were investigated using a four-point diagnostic scale. Results Increased bone metabolism was found in 744 metastatic sites and 1002 benign changes. On a per-lesion basis, inter-observer agreements in the diagnosis of bone metastasis were 0.72 for WB + SPECT, 0.90 for 2D SPECT/CT, and 0.89 for 3D SPECT/CT. Receiver operating characteristic analyses for the diagnostic accuracy of bone metastasis showed that WB + SPECT, 2D SPECT/CT, and 3D SPECT/CT had an area under the curve of 0.800, 0.983, and 0.983 for reader 1, 0.865, 0.992, and 0.993 for reader 2, respectively (WB + SPECT vs. 2D or 3D SPECT/CT, p < 0.001; 2D vs. 3D SPECT/CT, n.s.). The durations of interpretation of WB + SPECT, 2D SPECT/CT, and 3D SPECT/CT images were 241 ± 75, 225 ± 73, and 182 ± 71 s for reader 1 and 207 ± 72, 190 ± 73, and 179 ± 73 s for reader 2, respectively. As a result, it took shorter time to read 3D SPECT/CT images than 2D SPECT/CT (p < 0.0001) or WB + SPECT images (p < 0.0001). Conclusions 3D SPECT/CT fusion offers comparable diagnostic accuracy to 2D SPECT/CT fusion. The visual effect of 3D SPECT/CT fusion facilitates reduction of reading time compared to 2D SPECT/CT fusion.
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Delgado V, Gaemperli O, Lombardi M, Kaufmann PA, Bax JJ. The year in cardiology 2016: imaging. Eur Heart J 2017; 38:390-399. [PMID: 28043972 DOI: 10.1093/eurheartj/ehw633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2016] [Accepted: 12/21/2016] [Indexed: 12/11/2022] Open
Affiliation(s)
- Victoria Delgado
- Heart Lung Centrum, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, The Netherlands
| | - Oliver Gaemperli
- Cardiac Imaging, University Heart Center, Moussonstrasse 4, CH 8091 Zurich, Switzerland
| | - Massimo Lombardi
- Multimodality Cardiac Imaging Section, IRCCS Policlinico San Donato, Piazza Edmondo Malan, 1, 20097 San Donato Milanese Milan, Italy
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Raemistr 100, 809 1 Zürich, Switzerland
| | - Jeroen J Bax
- Heart Lung Centrum, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, The Netherlands
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