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Prevalence of low-attenuation plaques and statin therapy in plaque rupture type of acute coronary syndrome. Coron Artery Dis 2023; 34:11-17. [PMID: 36484215 DOI: 10.1097/mca.0000000000001203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND We sought to investigate the differences in coronary plaque morphology on coronary computed tomography angiography (CCTA) and medical therapy between acute coronary syndrome (ACS) and stable ischemic heart disease (SIHD). We also explored the relationship between plaque morphology on CCTA at the initial phase and lesion morphology in the acute phase of ACS. METHODS In 5967 patients who underwent invasive coronary angiography, 58 ACS and 91 SIHD patients who had prior CCTA imaging of the culprit lesion and denied ischemic heart disease at CCTA scanning were enrolled. RESULTS Although the prevalence of positive remodeling was not different (P = 0.27), low-attenuation plaques (LAP) on prior CCTA were significantly higher in ACS than in SIHD (52% vs. 24%, P < 0.01). The frequency of coronary stenosis grading did not differ between the two groups (P = 0.14). In ACS patients, the frequencies of plaque rupture and lipid-rich plaque assessed by optical coherence tomography (OCT) were significantly higher in LAP than in non-LAP (73% vs. 23%, P < 0.01; 82% and 23%, P < 0.01). Multivariate regression analysis revealed that statin use and LAP on prior CCTA were predictors of future ACS events (P < 0.01, and P < 0.05, respectively). CONCLUSIONS LAP on CCTA, not positive arterial remodeling, and lack of statin therapy were associated with ACS development. In addition, LAP more frequently led to the development of the plaque rupture type of ACS compared with non-LAP. Lipid-lowering therapy with statins might be useful to prevent plaque rupture in patients with LAP regardless of coronary stenosis.
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Kouchi T, Tanabe Y, Takemoto T, Yoshida K, Yamamoto Y, Miyazaki S, Fukuyama N, Nishiyama H, Inaba S, Kawaguchi N, Kido T, Yamaguchi O, Kido T. A Novel Quantitative Parameter for Static Myocardial Computed Tomography: Myocardial Perfusion Ratio to the Aorta. J Clin Med 2022; 11:jcm11071816. [PMID: 35407424 PMCID: PMC8999663 DOI: 10.3390/jcm11071816] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 03/21/2022] [Accepted: 03/22/2022] [Indexed: 02/07/2023] Open
Abstract
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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Affiliation(s)
- Takanori Kouchi
- Department of Radiology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (T.K.); (T.T.); (K.Y.); (Y.Y.); (N.F.); (H.N.); (N.K.); (T.K.); (T.K.)
| | - Yuki Tanabe
- Department of Radiology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (T.K.); (T.T.); (K.Y.); (Y.Y.); (N.F.); (H.N.); (N.K.); (T.K.); (T.K.)
- Correspondence:
| | - Takumasa Takemoto
- Department of Radiology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (T.K.); (T.T.); (K.Y.); (Y.Y.); (N.F.); (H.N.); (N.K.); (T.K.); (T.K.)
| | - Kazuki Yoshida
- Department of Radiology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (T.K.); (T.T.); (K.Y.); (Y.Y.); (N.F.); (H.N.); (N.K.); (T.K.); (T.K.)
| | - Yuta Yamamoto
- Department of Radiology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (T.K.); (T.T.); (K.Y.); (Y.Y.); (N.F.); (H.N.); (N.K.); (T.K.); (T.K.)
| | - Shigehiro Miyazaki
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (S.M.); (S.I.); (O.Y.)
| | - Naoki Fukuyama
- Department of Radiology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (T.K.); (T.T.); (K.Y.); (Y.Y.); (N.F.); (H.N.); (N.K.); (T.K.); (T.K.)
| | - Hikaru Nishiyama
- Department of Radiology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (T.K.); (T.T.); (K.Y.); (Y.Y.); (N.F.); (H.N.); (N.K.); (T.K.); (T.K.)
| | - Shinji Inaba
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (S.M.); (S.I.); (O.Y.)
| | - Naoto Kawaguchi
- Department of Radiology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (T.K.); (T.T.); (K.Y.); (Y.Y.); (N.F.); (H.N.); (N.K.); (T.K.); (T.K.)
| | - Tomoyuki Kido
- Department of Radiology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (T.K.); (T.T.); (K.Y.); (Y.Y.); (N.F.); (H.N.); (N.K.); (T.K.); (T.K.)
| | - Osamu Yamaguchi
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (S.M.); (S.I.); (O.Y.)
| | - Teruhito Kido
- Department of Radiology, Graduate School of Medicine, Ehime University, Shitsukawa, Toon 791-0295, Japan; (T.K.); (T.T.); (K.Y.); (Y.Y.); (N.F.); (H.N.); (N.K.); (T.K.); (T.K.)
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Kim MY, Yang DH, Choo KS, Lee W. Beyond Coronary CT Angiography: CT Fractional Flow Reserve and Perfusion. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2022; 83:3-27. [PMID: 36237355 PMCID: PMC9238199 DOI: 10.3348/jksr.2021.0177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/15/2021] [Accepted: 12/27/2021] [Indexed: 11/30/2022]
Abstract
심장 전산화단층촬영은 비약적인 기술발전과 다양한 연구 결과를 바탕으로 심혈관위험 계층화와 치료 결정을 위한 관상동맥 질환의 진단과 예후 평가성능이 입증되었다. 전산화단층촬영 관상동맥조영술은 폐쇄성 관상동맥 질환에 대한 음성 예측도가 높아서 침습적 혈관조영술의 빈도를 줄일 수 있는 관상동맥 질환 관련 검사의 관문으로 부상했지만, 진단특이도가 상대적으로 낮다. 하지만 심장 전산화단층촬영을 이용한 분획혈류예비력과 심근관류를 분석하여 관상동맥 질환의 혈역학적 유의성을 확인하는 기능적 평가를 통해 그 한계를 극복할 수 있다. 최근에는 이를 보다 객관적이고 재현 가능하도록 인공지능을 접목하는 연구들이 활발히 진행되고 있다. 본 종설에서는 심장 전산화단층촬영의 기능적 영상화 기법들에 대해 알아보고자 한다.
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Affiliation(s)
- Moon Young Kim
- Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| | - Dong Hyun Yang
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ki Seok Choo
- Department of Radiology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
| | - Whal Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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Vattay B, Boussoussou M, Borzsák S, Vecsey-Nagy M, Simon J, Kolossváry M, Merkely B, Szilveszter B. Myocardial perfusion imaging using computed tomography: Current status, clinical value and prognostic implications. IMAGING 2021. [DOI: 10.1556/1647.2020.00009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
AbstractCombined anatomical and functional evaluation of coronary artery disease (CAD) using computed tomography (CT) has recently emerged as an accurate, robust, and non-invasive tool for the evaluation of ischemic heart disease. Cardiac CT has become a one-stop-shop imaging modality that allows the simultaneous depiction, characterization, and quantification of coronary atherosclerosis and the assessment of myocardial ischemia. Advancements in scanner technology (improvements in spatial and temporal resolution, dual-energy imaging, wide detector panels) and the implementation of iterative reconstruction algorithms enables the detection of myocardial ischemia in both qualitative and quantitative fashion using low-dose scanning protocols. The addition of CT perfusion (CTP) to standard coronary CT angiography is a reliable tool to improve diagnostic accuracy. CTP using static first-pass imaging enables qualitative assessment of the myocardial tissue, whereas dynamic perfusion imaging can also provide quantitative information on myocardial blood flow. Myocardial tissue assessment by CTP holds the potential to refine risk in stable chest pain or microvascular dysfunction. CTP can aid the detection of residual ischemia after coronary intervention. Comprehensive evaluation of CAD using CTP might therefore improve the selection of patients for aggressive secondary prevention therapy or coronary revascularization with high diagnostic certainty. In addition, prognostic information provided by perfusion CT imaging could improve patient outcomes by quantifying the ischemic burden of the left ventricle. The current review focuses on the clinical value of myocardial perfusion imaging by CT, current status of CTP imaging and the use of myocardial CTP in various patient populations for the diagnosis of ischemic heart disease.
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Affiliation(s)
- Borbála Vattay
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Melinda Boussoussou
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Sarolta Borzsák
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Milán Vecsey-Nagy
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Judit Simon
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Márton Kolossváry
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Béla Merkely
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Bálint Szilveszter
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
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Coronary Computer Tomography Angiography in 2021-Acquisition Protocols, Tips and Tricks and Heading beyond the Possible. Diagnostics (Basel) 2021; 11:diagnostics11061072. [PMID: 34200866 PMCID: PMC8230532 DOI: 10.3390/diagnostics11061072] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/06/2021] [Accepted: 06/09/2021] [Indexed: 01/09/2023] Open
Abstract
Recent technological advances, together with an increasing body of evidence from randomized trials, have placed coronary computer tomography angiography (CCTA) in the center of the diagnostic workup of patients with coronary artery disease. The method was proven reliable in the diagnosis of relevant coronary artery stenosis. Furthermore, it can identify different stages of the atherosclerotic process, including early atherosclerotic changes of the coronary vessel wall, a quality not met by other non-invasive tests. In addition, newer computational software can measure the hemodynamic relevance (fractional flow reserve) of a certain stenosis. In addition, if required, information related to cardiac and valvular function can be provided with specific protocols. Importantly, recent trials have highlighted the prognostic relevance of CCTA in patients with coronary artery disease, which helped establishing CCTA as the first-line method for the diagnostic work-up of such patients in current guidelines. All this can be gathered in one relatively fast examination with minimal discomfort for the patient and, with newer machines, with very low radiation exposure. Herein, we provide an overview of the current technical aspects, indications, pitfalls, and new horizons with CCTA, providing examples from our own clinical practice.
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Infante T, Francone M, De Rimini ML, Cavaliere C, Canonico R, Catalano C, Napoli C. Machine learning and network medicine: a novel approach for precision medicine and personalized therapy in cardiomyopathies. J Cardiovasc Med (Hagerstown) 2021; 22:429-440. [PMID: 32890235 DOI: 10.2459/jcm.0000000000001103] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The early identification of pathogenic mechanisms is essential to predict the incidence and progression of cardiomyopathies and to plan appropriate preventive interventions. Noninvasive cardiac imaging such as cardiac computed tomography, cardiac magnetic resonance, and nuclear imaging plays an important role in diagnosis and management of cardiomyopathies and provides useful prognostic information. Most molecular factors exert their functions by interacting with other cellular components, thus many diseases reflect perturbations of intracellular networks. Indeed, complex diseases and traits such as cardiomyopathies are caused by perturbations of biological networks. The network medicine approach, by integrating systems biology, aims to identify pathological interacting genes and proteins, revolutionizing the way to know cardiomyopathies and shifting the understanding of their pathogenic phenomena from a reductionist to a holistic approach. In addition, artificial intelligence tools, applied to morphological and functional imaging, could allow imaging scans to be automatically analyzed to extract new parameters and features for cardiomyopathy evaluation. The aim of this review is to discuss the tools of network medicine in cardiomyopathies that could reveal new candidate genes and artificial intelligence imaging-based features with the aim to translate into clinical practice as diagnostic, prognostic, and predictive biomarkers and shed new light on the clinical setting of cardiomyopathies. The integration and elaboration of clinical habits, molecular big data, and imaging into machine learning models could provide better disease phenotyping, outcome prediction, and novel drug targets, thus opening a new scenario for the implementation of precision medicine for cardiomyopathies.
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Affiliation(s)
- Teresa Infante
- Department of Advanced Medical and Surgical Sciences (DAMSS), University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Marco Francone
- Department of Radiological, Oncological, and Pathological Sciences, La Sapienza University, Rome
| | | | | | - Raffaele Canonico
- U.O.C. of Dietetics, Sport Medicine and Psychophysical Wellbeing, Department of Experimental Medicine, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Carlo Catalano
- Department of Radiological, Oncological, and Pathological Sciences, La Sapienza University, Rome
| | - Claudio Napoli
- Department of Advanced Medical and Surgical Sciences (DAMSS), University of Campania 'Luigi Vanvitelli', Naples, Italy
- IRCCS SDN
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Li C, Song X, Zhao H, Feng L, Hu T, Zhang Y, Jiang J, Wang J, Xiang J, Sun Y. An 8-layer residual U-Net with deep supervision for segmentation of the left ventricle in cardiac CT angiography. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2021; 200:105876. [PMID: 33293183 DOI: 10.1016/j.cmpb.2020.105876] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 11/22/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND AND OBJECTIVES Accurate segmentation of left ventricle (LV) is a fundamental step in evaluation of cardiac function. Cardiac CT angiography (CCTA) has become an important clinical diagnostic method for cardio-vascular disease (CVD) due to its non-invasive, short exam time, and low cost. To obtain the segmentation of the LV in CCTA scans, we present a deep learning method based on an 8-layer residual U-Net with deep supervision. METHODS Based on the original 4-layer U-Net, our method deepened the network to eight layers, which increased the fitting capacity of the network, thus greatly improved its LV recognition capability. Residual blocks were incorporated to optimize the network from the increased depth. Auxiliary paths as deep supervision were introduced to supervise the intermediate information to improve the segmentation quality. In this study, we collected CCTA scans of 100 patients. Eighty patients with 1600 discrete slices were used to train the LV segmentation and the remaining 20 patients with 400 discrete slices were used for testing our method. An interactive graph cut algorithm was utilized reliably to annotate the LV reference standard that was further confirmed by cardiologists. Online data augmentation was performed in the training process to improve the generalization and robustness of our method. RESULTS Compared with the segmentation results from the original U-Net and FC-DenseNet56 with Dice similarity coefficient (DSC) of 0.878±0.230 and 0.897±0.189, respectively, our method demonstrated higher segmentation accuracy and robustness for varying LV shape, size, and contrast, achieving DSC of 0.927±0.139. Without online data augmentation, our method resulted in inferior performance with DSC of 0.911±0.170. In addition, compared with the provided results from other existing studies in the LV segmentation of cardiac CT images, our method achieved a competitive performance for the LV segmentation. CONCLUSIONS The proposed 8-layer residual U-Net with deep supervision accurately and efficiently segments the LV in CCTA scans. This method has potential advantages to be a reliable segmentation method and useful for the evaluation of cardiac function in the future study.
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Affiliation(s)
- Changling Li
- Department of Cardiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Xiangfen Song
- ArteryFlow Technology Co., Ltd., Hangzhou, 310051, China
| | - Hang Zhao
- ArteryFlow Technology Co., Ltd., Hangzhou, 310051, China
| | - Li Feng
- ArteryFlow Technology Co., Ltd., Hangzhou, 310051, China
| | - Tao Hu
- Department of Cardiology, Xijing Hospital, Air Force Military Medical University, Xian, 710032, China
| | - Yuchen Zhang
- Department of Cardiology, Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Jun Jiang
- Department of Cardiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Jianan Wang
- Department of Cardiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Jianping Xiang
- ArteryFlow Technology Co., Ltd., Hangzhou, 310051, China.
| | - Yong Sun
- Department of Cardiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China.
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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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[Computed tomography or cardiovascular magnetic resonance imaging for diagnosis of chronic coronary syndrome?]. Radiologe 2021; 60:1114-1121. [PMID: 33125515 DOI: 10.1007/s00117-020-00765-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Noninvasive imaging modalities are of central importance in the diagnosis of chronic coronary syndrome (CCS) in the current guidelines of the European Society of Cardiology (ESC), while the role of primary invasive coronary angiography in this context is increasingly being questioned. This review provides a summary of the most important diagnostic strategies from the radiology perspective. METHODOLOGICAL ISSUE The diagnostic algorithm is guided by the pretest probability (PTP) for the presence of CCS, which can be estimated based on age, sex, and symptoms. It is important to note that PTP in the current guidelines has decreased significantly compared to older recommendations and this change has an impact on the selection of the most appropriate imaging technique. STANDARD RADIOLOGICAL METHODS In patients with low PTP (>5% and <15%) and without prediagnosed coronary artery disease (CAD), CCS can be safely ruled out with inconspicuous computed tomography angiogram (CTA) of the coronary vessels. In patients with increased PTP (>15%) or prediagnosed CAD, noninvasive functional imaging should be primarily used to detect ischemia. PERFORMANCE AND METHODICAL INNOVATIONS The excellent sensitivity (89%), specificity (87%) and high prognostic relevance make stress perfusion cardiovascular magnetic resonance (CMR) imaging the functional method of first choice. Technical innovations and the use of artificial intelligence-based methods for image analysis could contribute to further improve its accuracy in the future. PRACTICAL RECOMMENDATIONS Radiologists should be aware of the recommendations of the current guidelines and work towards the establishment of coronary CTA and stress perfusion CMR in clinical routine.
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10
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Omarov YA, Sukhinina TS, Veselova TN, Shakhnovich RM, Zhukova NS, Merkulova IN, Pevzner DV, Ternovoy SK, Staroverov II. [Possibilities of Stress Computed Tomography Myocardial Perfusion Imaging in the Diagnosis of Ischemic Heart Disease]. ACTA ACUST UNITED AC 2020; 60:122-131. [PMID: 33228515 DOI: 10.18087/cardio.2020.10.n1028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 02/17/2020] [Indexed: 11/18/2022]
Abstract
Computed tomography angiography (CT-angiography, CTA) allows noninvasive visualization of coronary arteries (CA). This method is highly sensitive in detecting coronary atherosclerosis. However, standard CTA does not allow evaluation of the hemodynamic significance of found CA stenoses, which requires additional functional tests for detection of myocardial ischemia. This review focuses on possibilities of clinical use, limitations, technical aspects, and prospects of a combination of CT-angiography and CT myocardial perfusion imaging in diagnostics of ischemic heart disease.
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Affiliation(s)
- Y A Omarov
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - T S Sukhinina
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - T N Veselova
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - R M Shakhnovich
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - N S Zhukova
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - I N Merkulova
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - D V Pevzner
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
| | - S K Ternovoy
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow; First Moscow State Medical University, Sechenov Moscow State Medical University (Sechenov University), Moscow
| | - I I Staroverov
- National Medical Research Center of Cardiology" of the Ministry of Health of Russia, Moscow
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11
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Lee D, Choi J, Kim H, Cho M, Lee KY. Validation of a novel cardiac motion correction algorithm for x-ray computed tomography: From phantom experiments to initial clinical experience. PLoS One 2020; 15:e0239511. [PMID: 32997677 PMCID: PMC7526935 DOI: 10.1371/journal.pone.0239511] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 09/08/2020] [Indexed: 11/19/2022] Open
Abstract
A novel cardiac motion correction algorithm has been introduced recently. Unlike other segmentation-based approaches it is fully automatic and capable of correcting motion artifacts of myocardial wall and other moving structures as well as coronary arteries of the heart. In addition, it requires raw data of only less than a single rotation for motion estimation and correction, which is a significant advantage from the perspective of x-ray exposure and workflow. The aim of this study is to explore the capability of the proposed method through phantoms and in-vivo experiments. Motion correction of coronary arteries and other heart structures including myocardial wall is the main focus of the evaluation. First, we provide a brief introduction to the concept of the motion correction algorithm. Next we address the procedure of our studies using an XCAT phantom and commercially available physical phantoms. Results of XCAT phantom demonstrate that our solution significantly improves the structural similarity of coronary arteries compared to FBP (proposed: 0.94, FBP: 0.77, p<0.001). Besides, it provides significantly lower root mean square error (proposed: 20.27, FBP: 25.33, p = 0.01) of the whole heart image. Mocomo phantom study shows that the proposed method improves the visualization of coronary arteries estimated based on motion score (1: worst, 5: best) from two experienced radiologists (proposed: 3.5, FBP: 2.1, p<0.001). The results of these phantom studies reveal that the proposed has a great potential in handling motion artifacts of other heart structures as well as coronary arteries. Finally, we provide the results of in-vivo animal and human studies. The 3D and 4D heart images show a consistently superior performance in the visualization of coronary arteries along with myocardial wall and other cardiothoracic structures. Based on these findings of our studies, we are of the opinion that our solution has a considerable potential to improve temporal resolution of cardiac CT imaging. This would open the door to innovations in structural or functional diagnosis of the heart.
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Affiliation(s)
- Duhgoon Lee
- Advanced R&D Team, Health and Medical Equipment Business, Samsung Electronics, Suwon-si, Gyeonggi-do, Korea
| | - Jiyoung Choi
- Advanced R&D Team, Health and Medical Equipment Business, Samsung Electronics, Suwon-si, Gyeonggi-do, Korea
| | - Hyesun Kim
- Advanced R&D Team, Health and Medical Equipment Business, Samsung Electronics, Suwon-si, Gyeonggi-do, Korea
| | - Minkook Cho
- Advanced R&D Team, Health and Medical Equipment Business, Samsung Electronics, Suwon-si, Gyeonggi-do, Korea
| | - Kyoung-Yong Lee
- Advanced R&D Team, Health and Medical Equipment Business, Samsung Electronics, Suwon-si, Gyeonggi-do, Korea
- * E-mail:
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12
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He X, Guo BJ, Lei Y, Wang T, Fu Y, Curran WJ, Zhang LJ, Liu T, Yang X. Automatic segmentation and quantification of epicardial adipose tissue from coronary computed tomography angiography. Phys Med Biol 2020; 65:095012. [PMID: 32182595 DOI: 10.1088/1361-6560/ab8077] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Epicardial adipose tissue (EAT) is a visceral fat deposit, that's known for its association with factors, such as obesity, diabetes mellitus, age, and hypertension. Segmentation of the EAT in a fast and reproducible way is important for the interpretation of its role as an independent risk marker intricate. However, EAT has a variable distribution, and various diseases may affect the volume of the EAT, which can increase the complexity of the already time-consuming manual segmentation work. We propose a 3D deep attention U-Net method to automatically segment the EAT from coronary computed tomography angiography (CCTA). Five-fold cross-validation and hold-out experiments were used to evaluate the proposed method through a retrospective investigation of 200 patients. The automatically segmented EAT volume was compared with physician-approved clinical contours. Quantitative metrics used were the Dice similarity coefficient (DSC), sensitivity, specificity, Jaccard index (JAC), Hausdorff distance (HD), mean surface distance (MSD), residual mean square distance (RMSD), and the center of mass distance (CMD). For cross-validation, the median DSC, sensitivity, and specificity were 92.7%, 91.1%, and 95.1%, respectively, with JAC, HD, CMD, MSD, and RMSD are 82.9% ± 8.8%, 3.77 ± 1.86 mm, 1.98 ± 1.50 mm, 0.37 ± 0.24 mm, and 0.65 ± 0.37 mm, respectively. For the hold-out test, the accuracy of the proposed method remained high. We developed a novel deep learning-based approach for the automated segmentation of the EAT on CCTA images. We demonstrated the high accuracy of the proposed learning-based segmentation method through comparison with ground truth contour of 200 clinical patient cases using 8 quantitative metrics, Pearson correlation, and Bland-Altman analysis. Our automatic EAT segmentation results show the potential of the proposed method to be used in computer-aided diagnosis of coronary artery diseases (CADs) in clinical settings.
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Affiliation(s)
- Xiuxiu He
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States of America. Co-first author
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13
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Tanabe Y, Kurata A, Matsuda T, Yoshida K, Baruah D, Kido T, Mochizuki T, Rajiah P. Computed tomographic evaluation of myocardial ischemia. Jpn J Radiol 2020; 38:411-433. [PMID: 32026226 PMCID: PMC7186254 DOI: 10.1007/s11604-020-00922-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 01/20/2020] [Indexed: 01/02/2023]
Abstract
Myocardial ischemia is caused by a mismatch between myocardial oxygen consumption and oxygen delivery in coronary artery disease (CAD). Stratification and decision-making based on ischemia improves the prognosis in patients with CAD. Non-invasive tests used to evaluate myocardial ischemia include stress electrocardiography, echocardiography, single-photon emission computed tomography, and magnetic resonance imaging. Invasive fractional flow reserve is considered the reference standard for assessment of the hemodynamic significance of CAD. Computed tomography (CT) angiography has emerged as a first-line imaging modality for evaluation of CAD, particularly in the population at low to intermediate risk, because of its high negative predictive value; however, CT angiography does not provide information on the hemodynamic significance of stenosis, which lowers its specificity. Emerging techniques, e.g., CT perfusion and CT-fractional flow reserve, help to address this limitation of CT, by determining the hemodynamic significance of coronary artery stenosis. CT perfusion involves acquisition during the first pass of contrast medium through the myocardium following pharmacological stress. CT-fractional flow reserve uses computational fluid dynamics to model coronary flow, pressure, and resistance. In this article, we review these two functional CT techniques in the evaluation of myocardial ischemia, including their principles, technology, advantages, limitations, pitfalls, and the current evidence.
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Affiliation(s)
- Yuki Tanabe
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Akira Kurata
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Takuya Matsuda
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Kazuki Yoshida
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Dhiraj Baruah
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
| | - Teruhito Mochizuki
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
- Department of Radiology, I.M. Sechenov First Moscow State Medical University, Bol'shaya Pirogovskaya Ulitsa, Moscow, Russia
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14
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Kono T, Uetani T, Inoue K, Nagai T, Nishimura K, Suzuki J, Tanabe Y, Kido T, Kurata A, Mochizuki T, Ogimoto A, Okura T, Higaki J, Yamaguchi O, Ikeda S. Diagnostic accuracy of stress myocardial computed tomography perfusion imaging to detect myocardial ischemia: a comparison with coronary flow velocity reserve derived from transthoracic Doppler echocardiography. J Cardiol 2020; 76:251-258. [PMID: 32354493 DOI: 10.1016/j.jjcc.2020.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 03/05/2020] [Accepted: 03/06/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND Our aim was to evaluate the ability of adenosine triphosphate (ATP)-stress myocardial computed tomography perfusion (CTP) imaging to detect myocardial ischemia in the left anterior descending artery (LAD) territory, and to compare this method with coronary flow velocity reserve (CFVR) measured by transthoracic Doppler echocardiography (TTDE). METHODS ATP-stress CTP and CFVR were performed in 50 patients with stable angina pectoris. Myocardial ischemia assessed from CTP imaging was defined as qualitative visual perfusion defects and reduced myocardial blood flow (MBF) based on quantitative assessment. A cut-off value of CFVR of 2.0 was used. RESULTS The mean CFVR was 1.9 ± 0.6 in ischemic regions by CTP, whereas it was 2.9 ± 0.8 in non-ischemic regions (p < 0.001). CTP imaging could accurately predict CFVR <2.0 with 84.0% diagnostic accuracy (94.7% sensitivity, 77.4% specificity, 72.0% positive predictive value, and 96.0% negative predictive value). When receiver operating characteristic curve analysis of the MBF data was performed to detect CFVR <2.0, the area under the curve was 0.89, and the optimal MBF cut-off value was 1.43 mL/g/min. CONCLUSIONS This study suggests that qualitative and quantitative assessment of ATP-stress CTP exhibits a good correlation with CFVR for evaluation of myocardial ischemia.
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Affiliation(s)
- Tamami Kono
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Teruyoshi Uetani
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan.
| | - Katsuji Inoue
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Takayuki Nagai
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Kazuhisa Nishimura
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Jun Suzuki
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Yuki Tanabe
- Department of Radiology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Akira Kurata
- Department of Radiology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Teruhito Mochizuki
- Department of Radiology, Ehime University Graduate School of Medicine, Toon, Japan
| | | | - Takafumi Okura
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Jitsuo Higaki
- Department of Cardiology, South Matsuyama Hospital, Matsuyama, Japan
| | - Osamu Yamaguchi
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Shuntaro Ikeda
- Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan
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15
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Diagnostic Accuracy of Perfusional Computed Tomography in Moderate Coronary Stenosis: Comparison With Fractional Flow Reserve. Crit Pathw Cardiol 2020; 19:9-13. [PMID: 31899707 DOI: 10.1097/hpc.0000000000000200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Coronary computed tomography with myocardial perfusion imaging (CCTA-MPI) provides data on coronary anatomy and perfusion and may be useful in the assessment of ischemic coronary artery disease (CAD). Management of angiographically intermediate coronary lesions is challenging, and coronary fractional flow reserve (FFR) evaluation is recommended to assess whether these lesions are functionally significant. Our aim was to evaluate the diagnostic accuracy of CCTA-MPI in patients with stable CAD and at least 1 angiographically intermediate coronary lesion submitted to FFR. In this single-center prospective study, patients with stable CAD and at least 1 moderate coronary stenosis (50%-70% by visual estimation) were referred for CCTA-MPI (64-row multidetector) assessment before coronary FFR evaluation. Patients with severe coronary obstructions (≥70%) were excluded. The significance level adopted for all tests was 5%. Twenty-eight patients (mean age 60 ± SD years, 54% women) with 33 intermediate coronary obstructions were enrolled. Ten patients (30%) had functionally significant coronary obstructions characterized by FFR ≤0.8. The sensitivity, specificity, and accuracy of CCTA-MPI for the detection of functionally significant coronary obstructions were 30%, 100%, and 78.8%, respectively. CCTA-MPI positive predictive value was 100%, whereas negative predictive value was 76.7%. Correlation coefficient between tests was 0.48 (P = 0.005). On a novel approach to evaluate intermediate coronary lesions, accuracy of CCTA-MPI was 78.8%. The positive predictive value of an abnormal CCTA-MPI on this population was 100%, suggesting that CCTA-MPI may have a role in the assessment of patients with anatomically identified intermediate coronary lesions.
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16
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Yu M, Shen C, Dai X, Lu Z, Wang Y, Lu B, Zhang J. Clinical Outcomes of Dynamic Computed Tomography Myocardial Perfusion Imaging Combined With Coronary Computed Tomography Angiography Versus Coronary Computed Tomography Angiography–Guided Strategy. Circ Cardiovasc Imaging 2020; 13:e009775. [PMID: 31910669 DOI: 10.1161/circimaging.119.009775] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Dynamic computed tomography (CT) myocardial perfusion imaging (MPI) provides quantitative myocardial blood flow for the precise assessment of myocardial ischemia. However, compared with coronary CT angiography (CCTA), whether this functional imaging modality can reduce invasive coronary angiography without revascularization remains unknown. We aimed to determine the clinical outcomes of a dynamic CT-MPI+CCTA-guided versus CCTA-guided strategy in patients with suspected coronary artery disease.
Methods:
Consecutive patients with intermediate pretest probability of coronary artery disease were prospectively enrolled and randomized to dynamic CT-MPI+CCTA-guided or CCTA-guided workup. The primary end point was the rate of invasive coronary angiography without revascularization within 3 months. The secondary end point was a composite of major adverse cardiac event at the 3-month, 6-month, and 1-year follow-up.
Results:
A total of 240 patients (mean age, 69.01±11.2 years; 173 men) were included. The total radiation dose and contrast media usage within 90 days were higher in the CT-MPI+CCTA group than in the CCTA group (10.3 versus 7.1 mSv,
P
=0.031; 134.5±40.6 versus 108.1±48.2 mL,
P
<0.0001). Compared with the CCTA-guided group, the CT-MPI+CCTA-guided group had significantly lower rates of invasive coronary angiography within 90 days (48.3% [58/120] versus 30.8% [37/120],
P
=0.006) and invasive coronary angiography without revascularization (50.0% [29/58] versus 10.8% [4/37],
P
<0.0001). There were no significant differences regarding the frequency of major adverse cardiac event between the 2 groups at the 3-month, 6-month, and 1-year follow-up.
Conclusions:
In patients with intermediate pretest probability of coronary artery disease, CT-MPI+CCTA-guided patient management may be preferred over the CCTA-guided strategy as an approach to reduce unnecessary invasive procedures.
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Affiliation(s)
- Mengmeng Yu
- Institute of Diagnostic and Interventional Radiology (M.Y., X.D., J.Z.), Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Chengxing Shen
- Department of Cardiology (C.S., Z.L.), Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Xu Dai
- Institute of Diagnostic and Interventional Radiology (M.Y., X.D., J.Z.), Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Zhigang Lu
- Department of Cardiology (C.S., Z.L.), Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yining Wang
- Department of Radiology, Peking Union Medical College Hospital (Y.W.), Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Bin Lu
- Department of Radiology, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Centre for Cardiovascular Diseases (B.L.), Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jiayin Zhang
- Institute of Diagnostic and Interventional Radiology (M.Y., X.D., J.Z.), Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
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17
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Koplay M, Gok M, Sivri M. The association between coronary artery disease and nonalcoholic fatty liver disease and noninvasive imaging methods. ELECTRONIC JOURNAL OF GENERAL MEDICINE 2019. [DOI: 10.29333/ejgm/110689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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18
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Kashiwagi M, Kitabata H, Tanaka A, Arita Y, Taruya A, Shimamoto Y, Yamamoto Y, Mori K, Nishiguchi T, Terada K, Ota S, Tanimoto T, Kubo T, Akasaka T. Combination of Lesion Stenosis and Myocardial Supply Area Assessed by Coronary Computed Tomography Angiography for Prediction of Myocardial Ischemia. Int Heart J 2019; 60:1238-1244. [PMID: 31735779 DOI: 10.1536/ihj.19-141] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Recent clinical studies revealed that anatomical information assessed by coronary computed tomography angiography (CTA) may be used effectively to diagnose coronary artery disease (CAD). However, a physiological assessment, demonstrating myocardial ischemia, is required to justify a therapeutic strategy for CAD. This study aimed to investigate whether using CTA to assess myocardial supply area can improve the prediction of myocardial ischemia.We analyzed 201 vessels with moderate (luminal narrowing ≥ 50%, < 70%) and severe (luminal narrowing ≥ 70%, < 99%) stenosis on CTA from 174 patients, who were suspected of having stable angina and underwent measurement of fractional flow reserve (FFR). The myocardial area supplied by the coronary artery, distal to the stenosis, was evaluated with CTA, as reported previously (modified Alberta Provincial Project for Outcome Assessment in Coronary Heart score) and was classified into 3 groups (large, medium, and small).Both percentage area stenosis and myocardial supply area were significantly correlated with FFR (r = -0.46, P < 0.01, and r = -0.45, P < 0.01). Among patients who had coronary plaques, with moderate stenosis and a small myocardial supply area, only 3 of 42 lesions (7%) were identified as ischemic; deviation from the ischemic threshold (FFR = 0.80) was P < 0.01. The combined assessment of lesion stenosis and myocardial supply area, using CTA, improved the prediction of myocardial ischemia significantly compared to lesion stenosis alone (77% versus 59%, P < 0.01).Adding the assessment of myocardial supply area to standard CTA might help predict myocardial ischemia in patients with stable angina pectoris.
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Affiliation(s)
| | | | - Atsushi Tanaka
- Department of Cardiovascular Medicine, Wakayama Medical University
| | - Yu Arita
- Department of Cardiology, Shingu Municipal Medical Center
| | - Akira Taruya
- Department of Cardiology, Shingu Municipal Medical Center
| | | | | | - Kazuya Mori
- Department of Cardiology, Shingu Municipal Medical Center
| | | | - Kosei Terada
- Department of Cardiology, Shingu Municipal Medical Center
| | - Shingo Ota
- Department of Cardiology, Shingu Municipal Medical Center
| | | | - Takashi Kubo
- Department of Cardiovascular Medicine, Wakayama Medical University
| | - Takashi Akasaka
- Department of Cardiovascular Medicine, Wakayama Medical University
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19
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Stress Computed Tomography Perfusion Versus Fractional Flow Reserve CT Derived in Suspected Coronary Artery Disease. JACC Cardiovasc Imaging 2019; 12:1487-1497. [DOI: 10.1016/j.jcmg.2018.08.023] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 08/16/2018] [Accepted: 08/17/2018] [Indexed: 11/23/2022]
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20
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Reinartz SD, Imhoff M, Tolba R, Fischer F, Fischer EG, Teschner E, Koch S, Gärber Y, Isfort P, Gremse F. EIT monitors valid and robust regional ventilation distribution in pathologic ventilation states in porcine study using differential DualEnergy-CT (ΔDECT). Sci Rep 2019; 9:9796. [PMID: 31278297 PMCID: PMC6611907 DOI: 10.1038/s41598-019-45251-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 04/12/2019] [Indexed: 11/19/2022] Open
Abstract
It is crucial to precisely monitor ventilation and correctly diagnose ventilation-related pathological states for averting lung collapse and lung failure in Intensive Care Unit (ICU) patients. Although Electrical Impedance Tomography (EIT) may deliver this information continuously and non-invasively at bedside, to date there are no studies that systematically compare EIT and Dual Energy CT (DECT) during inspiration and expiration (ΔDECT) regarding varying physiological and ICU-typical pathological conditions such as atelectasis. This study aims to prove the accuracy of EIT through quantitative identification and monitoring of pathological ventilation conditions on a four-quadrant basis using ΔDECT. In a cohort of 13 pigs, this study investigated systematic changes in tidal volume (TV) and positive end-expiratory pressure (PEEP) under physiological ventilation conditions. Pathological ventilation conditions were established experimentally by single-lung ventilation and pulmonary saline lavage. Spirometric data were compared to voxel-based entire lung ΔDECT, and EIT intensities were compared to ΔDECT of a 12-cm slab of the lung around the EIT belt, the so called ΔDECTBelt. To validate ΔDECT data with spirometry, a Pearson’s correlation coefficient of 0.92 was found for 234 ventilation conditions. Comparing EIT intensity with ΔDECT(Belt), the correlation r = 0.84 was found. Normalized cross-correlation function (NCCF) between scaled global impedance (EIT) waveforms and global volume ventilator curves was r = 0.99 ± 0.003. The EIT technique correctly identified the ventilated lung in all cases of single-lung ventilation. In the four-quadrant based evaluation, which assesses the difference between end-expiratory lung volume (ΔEELV) and the corresponding parameter in EIT, i.e. the end-expiratory lung impedance (ΔEELI), the Pearson’s correlation coefficient of 0.94 was found. The respective Pearson’s correlation coefficients implies good to excellent concurrence between global and regional EIT ventilation data validated by ventilator spirometry and DECT imaging. By providing real-time images of the lung, EIT is a promising, EIT is a promising, clinically robust tool for bedside assessment of regional ventilation distribution and changes of end-expiratory lung volume.
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Affiliation(s)
- Sebastian D Reinartz
- Department of Diagnostic and Interventional Radiology, University Hospital, RWTH Aachen University, 52074, Aachen, Germany.
| | - Michael Imhoff
- Department for Medical Informatics, Biometry and Epidemiology, Ruhr University of Bochum, 44780, Bochum, Germany
| | - René Tolba
- Institute of Laboratory Animal Science, University Hospital, RWTH Aachen University, 52074, Aachen, Germany
| | - Felix Fischer
- Drägerwerk AG & Co. KGaA, Moislinger Allee 53-55, 23558, Lübeck, Germany
| | - Eike G Fischer
- Aix Scientifics CRO, Theaterstr. 7, 52062, Aachen, Germany
| | - Eckhard Teschner
- Drägerwerk AG & Co. KGaA, Moislinger Allee 53-55, 23558, Lübeck, Germany
| | - Sabine Koch
- Institute of Laboratory Animal Science, University Hospital, RWTH Aachen University, 52074, Aachen, Germany
| | - Yvo Gärber
- Drägerwerk AG & Co. KGaA, Moislinger Allee 53-55, 23558, Lübeck, Germany
| | - Peter Isfort
- Department of Diagnostic and Interventional Radiology, University Hospital, RWTH Aachen University, 52074, Aachen, Germany
| | - Felix Gremse
- Institute for Experimental Molecular Imaging, University Hospital, RWTH Aachen University, 52074, Aachen, Germany
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21
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Comparative Effectiveness of CT-Derived Atherosclerotic Plaque Metrics for Predicting Myocardial Ischemia. JACC Cardiovasc Imaging 2019; 12:1367-1376. [DOI: 10.1016/j.jcmg.2018.05.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 05/16/2018] [Accepted: 05/24/2018] [Indexed: 12/21/2022]
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22
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Patel AR, Maffessanti F, Patel MB, Kebed K, Narang A, Singh A, Medvedofsky D, Zaidi SJ, Mediratta A, Goyal N, Kachenoura N, Lang RM, Mor-Avi V. Hemodynamic impact of coronary stenosis using computed tomography: comparison between noninvasive fractional flow reserve and 3D fusion of coronary angiography with stress myocardial perfusion. Int J Cardiovasc Imaging 2019; 35:1733-1743. [PMID: 31073698 DOI: 10.1007/s10554-019-01618-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 04/30/2019] [Indexed: 01/06/2023]
Abstract
Vasodilator-stress CT perfusion imaging in addition to CT coronary angiography (CTCA) may provide a single-test alternative to nuclear stress testing, commonly used to assess hemodynamic significance of stenosis. Another alternative is fractional flow reserve (FFR) calculated from cardiac CT images. We studied the concordance between these two approaches and their relationship to outcomes. We prospectively studied 150 patients with chest pain, who underwent CTCA and regadenoson CT. CTCA images were interpreted for presence and severity of stenosis. Fused 3D displays of subendocardial X-ray attenuation with coronary arteries were created to detect stress perfusion defects (SPD) in each coronary territory. In patients with stenosis > 25%, CT-FFR was quantified. Significant stenosis was determined by: (1) combination of stenosis > 50% with an SPD, (2) CT-FFR ≤ 0.80. Patients were followed-up for 36 ± 25 months for death, myocardial infarction or revascularization. After excluding patients with normal arteries and technical/quality issues, in final analysis of 76 patients, CTCA depicted stenosis > 70% in 13/224 arteries, 50-70% in 24, and < 50% in 187. CT-FFR ≤ 0.80 was found in 41/224 arteries, and combination of SPD with > 50% stenosis in 31/224 arteries. Inter-technique agreement was 89%. Despite high incidence of abnormal CT-FFR (30/76 patients), only 7 patients experienced adverse outcomes; 6/7 also had SPDs. Only 1/9 patients with CT-FFR ≤ 0.80 but normal perfusion had an event. Fusion of CTCA and stress perfusion can help determine the hemodynamic impact of stenosis in one test, in good agreement with CT-FFR. Adding stress CT perfusion analysis may help risk-stratify patients with abnormal CT-FFR.
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Affiliation(s)
- Amit R Patel
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA
| | - Francesco Maffessanti
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA.,Institute of Computational Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Mita B Patel
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA
| | - Kalie Kebed
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA
| | - Akhil Narang
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA
| | - Amita Singh
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA
| | - Diego Medvedofsky
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA
| | - S Javed Zaidi
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA.,Cardiology Department, Advocate Children's Hospital, Chicago, IL, USA
| | - Anuj Mediratta
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA
| | - Neha Goyal
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA
| | - Nadjia Kachenoura
- Laboratoire d'Imagerie Biomédicale, INSERM, CNRS, Sorbonne Université, Paris, France
| | - Roberto M Lang
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA
| | - Victor Mor-Avi
- Department of Medicine, Section of Cardiology, University of Chicago Medical Center, 5758 South Maryland Avenue, M.C. 9067, Chicago, IL, 60637, USA.
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Lukas S, Feger S, Rief M, Zimmermann E, Dewey M. Noise reduction and motion elimination in low-dose 4D myocardial computed tomography perfusion (CTP): preliminary clinical evaluation of the ASTRA4D algorithm. Eur Radiol 2019; 29:4572-4582. [DOI: 10.1007/s00330-018-5899-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 10/15/2018] [Accepted: 11/20/2018] [Indexed: 12/20/2022]
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24
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Additional diagnostic value of new CT imaging techniques for the functional assessment of coronary artery disease: a meta-analysis. Eur Radiol 2019; 29:3044-3061. [DOI: 10.1007/s00330-018-5919-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 10/30/2018] [Accepted: 11/27/2018] [Indexed: 12/14/2022]
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25
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Zhang JM, Shuang D, Baskaran L, Wu W, Teo SK, Huang W, Gobeawan L, Allen JC, Tan RS, Su X, Ismail NB, Wan M, Su B, Zou H, Low R, Zhao X, Chi Y, Zhou J, Su Y, Lomarda AM, Chin CY, Fam JM, Keng FYJ, Wong ASL, Tan JWC, Yeo KK, Wong PEH, Chin CT, Ho KW, Yap J, Kassab GS, Chua T, Koh TH, Tan SY, Lim ST, Zhong L. Advanced analyses of computed tomography coronary angiography can help discriminate ischemic lesions. Int J Cardiol 2018; 267:208-214. [DOI: 10.1016/j.ijcard.2018.04.020] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 03/16/2018] [Accepted: 04/05/2018] [Indexed: 12/21/2022]
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26
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Doughnut handmade or packaged … which is better? J Cardiovasc Comput Tomogr 2018; 12:220-222. [DOI: 10.1016/j.jcct.2018.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 04/26/2018] [Indexed: 11/24/2022]
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27
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Scholtz JE, Ghoshhajra B. Advances in cardiac CT contrast injection and acquisition protocols. Cardiovasc Diagn Ther 2017; 7:439-451. [PMID: 29255688 PMCID: PMC5716940 DOI: 10.21037/cdt.2017.06.07] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Accepted: 05/25/2017] [Indexed: 01/27/2023]
Abstract
Cardiac computed tomography (CT) imaging has become an important part of modern cardiovascular care. Coronary CT angiography (CTA) is the first choice imaging modality for non-invasive visualization of coronary artery stenosis. In addition, cardiac CT does not only provide anatomical evaluation, but also functional and valvular assessment, and myocardial perfusion evaluation. In this article we outline the factors which influence contrast enhancement, give an overview of current contrast injection and acquisition protocols, with focus on current emerging topics such as pre-transcatheter aortic valve replacement (TAVR) planning, cardiac CT for congenital heart disease (CHD) patients, and myocardial CT perfusion (CTP). Further, we point out areas where we see potential for future improvements in cardiac CT imaging based on a closer interaction between CT scanner settings and contrast injection protocols to tailor injections to patient- and exam-specific factors.
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Affiliation(s)
- Jan-Erik Scholtz
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Brian Ghoshhajra
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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Abstract
Cardiac computed tomography (CT) is increasingly used in the evaluation of cardiomyopathies, particularly in patients who are not able to undergo other non-invasive imaging tests such as magnetic resonance imaging (MRI) due to the presence of MRI-incompatible pacemakers/defibrillators or other contraindications or due to extensive artifacts from indwelling metallic devices. Advances in scanner technology enable acquisition of CT images with high spatial resolution, good temporal resolution, wide field of view and multi-planar reconstruction capabilities. CT is useful in cardiomyopathies in several ways, particularly in the evaluation of coronary arteries, characterization of cardiomyopathy phenotype, quantification of cardiac volumes and function, treatment-planning, and post-treatment evaluation. In this article, we review the imaging techniques and specific applications of CT in the evaluation of cardiomyopathies.
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Affiliation(s)
- Kevin Kalisz
- University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Prabhakar Rajiah
- Cardiothoracic Imaging, Radiology Department, UT Southwestern Medical Center, Dallas, Texas, USA
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29
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Kontopodis N, Galanakis N, Tsetis D, Ioannou CV. Perfusion computed tomography imaging of abdominal aortic aneurysms may be of value for patient specific rupture risk estimation. Med Hypotheses 2017; 101:6-10. [DOI: 10.1016/j.mehy.2017.01.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 11/27/2016] [Accepted: 01/21/2017] [Indexed: 10/20/2022]
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30
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Cademartiri F, Seitun S, Clemente A, La Grutta L, Toia P, Runza G, Midiri M, Maffei E. Myocardial blood flow quantification for evaluation of coronary artery disease by computed tomography. Cardiovasc Diagn Ther 2017; 7:129-150. [PMID: 28540209 DOI: 10.21037/cdt.2017.03.22] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
During the last decade coronary computed tomography angiography (CTA) has become the preeminent non-invasive imaging modality to detect coronary artery disease (CAD) with high accuracy. However, CTA has a limited value in assessing the hemodynamic significance of a given stenosis due to a modest specificity and positive predictive value. In recent years, different CT techniques for detecting myocardial ischemia have emerged, such as CT-derived fractional flow reserve (FFR-CT), transluminal attenuation gradient (TAG), and myocardial CT perfusion (CTP) imaging. Myocardial CTP imaging can be performed with a single static scan during first pass of the contrast agent, with monoenergetic or dual-energy acquisition, or as a dynamic, time-resolved scan during stress by using coronary vasodilator agents (adenosine, dipyridamole, or regadenoson). A number of CTP techniques are available, which can assess myocardial perfusion in both a qualitative, semi-quantitative or quantitative manner. Once used primarily as research tools, these modalities are increasingly being used in routine clinical practice. All these techniques offer the substantial advantage of combining anatomical and functional evaluation of flow-limiting coronary stenosis in the same examination that would be beneficial for clinical decision-making. This review focuses on the state-of the-art and future trends of these evolving imaging modalities in the field of cardiology for the physiologic assessments of CAD.
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Affiliation(s)
- Filippo Cademartiri
- Department of Radiology, Montreal Heart Institute, Université de Montreal, Montreal, Canada.,Department of Radiology, Erasmus Medical Center University, Rotterdam, The Netherlands
| | - Sara Seitun
- Department of Radiology, IRCCS AOU San Martino-IST, Genoa, Italy
| | - Alberto Clemente
- Department of Radiology, Fondazione Toscana Gabriele Monasterio, Pisa and Massa, Italy
| | | | - Patrizia Toia
- Department of Radiology, University of Palermo, Palermo, Italy
| | - Giuseppe Runza
- Department of Radiology, P.O. Umberto I, Azienda Sanitaria Provinciale 8, Siracusa, Italy
| | - Massimo Midiri
- Department of Radiology, University of Palermo, Palermo, Italy
| | - Erica Maffei
- Department of Radiology, Montreal Heart Institute, Université de Montreal, Montreal, Canada
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31
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CT myocardial perfusion imaging: current status and future perspectives. Int J Cardiovasc Imaging 2017; 33:1009-1020. [DOI: 10.1007/s10554-017-1102-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Accepted: 02/24/2017] [Indexed: 12/24/2022]
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32
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Trials of Imaging Use in the Emergency Department for Acute Chest Pain. JACC Cardiovasc Imaging 2017; 10:338-349. [DOI: 10.1016/j.jcmg.2016.10.015] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 10/27/2016] [Accepted: 10/27/2016] [Indexed: 02/06/2023]
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33
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Xiong G, Sun P, Zhou H, Ha S, Hartaigh BO, Truong QA, Min JK. Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2017; 23:1014-1028. [PMID: 26863663 PMCID: PMC4975682 DOI: 10.1109/tvcg.2016.2520946] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
In clinical cardiology, both anatomy and physiology are needed to diagnose cardiac pathologies. CT imaging and computer simulations provide valuable and complementary data for this purpose. However, it remains challenging to gain useful information from the large amount of high-dimensional diverse data. The current tools are not adequately integrated to visualize anatomic and physiologic data from a complete yet focused perspective. We introduce a new computer-aided diagnosis framework, which allows for comprehensive modeling and visualization of cardiac anatomy and physiology from CT imaging data and computer simulations, with a primary focus on ischemic heart disease. The following visual information is presented: (1) Anatomy from CT imaging: geometric modeling and visualization of cardiac anatomy, including four heart chambers, left and right ventricular outflow tracts, and coronary arteries; (2) Function from CT imaging: motion modeling, strain calculation, and visualization of four heart chambers; (3) Physiology from CT imaging: quantification and visualization of myocardial perfusion and contextual integration with coronary artery anatomy; (4) Physiology from computer simulation: computation and visualization of hemodynamics (e.g., coronary blood velocity, pressure, shear stress, and fluid forces on the vessel wall). Substantially, feedback from cardiologists have confirmed the practical utility of integrating these features for the purpose of computer-aided diagnosis of ischemic heart disease.
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34
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Baumann S, Renker M, Hetjens S, Fuller SR, Becher T, Loßnitzer D, Lehmann R, Akin I, Borggrefe M, Lang S, Wichmann JL, Schoepf UJ. Comparison of Coronary Computed Tomography Angiography-Derived vs Invasive Fractional Flow Reserve Assessment: Meta-Analysis with Subgroup Evaluation of Intermediate Stenosis. Acad Radiol 2016; 23:1402-1411. [PMID: 27639627 DOI: 10.1016/j.acra.2016.07.007] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Revised: 07/20/2016] [Accepted: 07/24/2016] [Indexed: 12/29/2022]
Abstract
RATIONALE AND OBJECTIVES Invasive coronary angiography (ICA) with fractional flow reserve (FFR) assessment is the reference standard for the detection of hemodynamically relevant coronary lesions. We have investigated whether coronary computed tomography angiography (cCTA)-derived FFR (fractional flow reserve from coronary computed tomographic angiography [CT-FFR]) measurement improves diagnostic accuracy over cCTA. METHODS AND RESULTS A literature search was performed for studies comparing invasive FFR, cCTA, and CT-FFR. The analysis included three prospective multicenter trials and two retrospective single-center studies; a total of 765 patients and 1306 vessels were included in the meta-analysis. Compared to invasive FFR on a per-lesion basis, CT-FFR reached a pooled sensitivity, specificity, positive predictive value, and negative predictive value of 83.7% (95% confidence interval [CI]: 78.1-89.3), 74.7% (95% CI: 52.2-97.1), 64.8% (95% CI: 52.1-77.5), and 90.1% (95% CI: 80.8-99.3) compared to 84.6% (95% CI: 78.1-91.1), 49.7% (95% CI: 31.1-68.4), 39.0% (95% CI: 28.0-50.1), and 87.3% (95% CI: 72.5-100.0) for cCTA alone. In 634 vessels with intermediate stenosis (30%-70%), sensitivity, specificity, positive predictive value, and negative predictive value were 81.4% (95% CI: 70.4-92.9), 71.7% (95% CI: 54.5-89.0), 59.4% (95% CI: 35.5-83.4), and 89.9% (95% CI: 85.0-94.7) compared to 90.2% (95% CI: 80.6-99.9), 35.4% (95% CI: 23.5-47.3), 50.7% (95% CI: 30.6-70.8), and 82.5% (95% CI: 64.5-100.0) for cCTA alone. The summary area under the receiver operating characteristic curve of CT-FFR was superior to cCTA alone on a per-vessel (0.90 [95% CI: 0.82-0.98] vs 0.74 [95% CI: 0.63-0.86]; P = .0047) and for intermediate stenoses (0.76 [95% CI: 0.65-0.88] vs 0.57 [95% CI: 0.49-0.66]; P = .0027). CONCLUSION CT-FFR significantly improves specificity without noticeably altering the sensitivity of cCTA with invasive FFR as a reference standard for the detection of hemodynamically relevant stenosis.
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Affiliation(s)
- Stefan Baumann
- Heart & Vascular Center, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, Charleston, SC 29425-2260, USA; 1st Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany and with DZHK (German Centre for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Germany
| | - Matthias Renker
- Heart & Vascular Center, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, Charleston, SC 29425-2260, USA; Kerckhoff Heart and Thorax Center, Department of Cardiology, Bad Nauheim, Germany
| | - Svetlana Hetjens
- Institute of Medical Statistics and Biometry, University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Stephen R Fuller
- Heart & Vascular Center, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, Charleston, SC 29425-2260, USA
| | - Tobias Becher
- 1st Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany and with DZHK (German Centre for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Germany
| | - Dirk Loßnitzer
- 1st Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany and with DZHK (German Centre for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Germany
| | - Ralf Lehmann
- 1st Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany and with DZHK (German Centre for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Germany
| | - Ibrahim Akin
- 1st Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany and with DZHK (German Centre for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Germany
| | - Martin Borggrefe
- 1st Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany and with DZHK (German Centre for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Germany
| | - Siegfried Lang
- 1st Department of Medicine-Cardiology, University Medical Centre Mannheim, Mannheim, Germany and with DZHK (German Centre for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Germany
| | - Julian L Wichmann
- Heart & Vascular Center, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, Charleston, SC 29425-2260, USA; Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany
| | - U Joseph Schoepf
- Heart & Vascular Center, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, Charleston, SC 29425-2260, USA.
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Linde JJ, Sørgaard M, Kühl JT, Hove JD, Kelbæk H, Nielsen WB, Kofoed KF. Prediction of clinical outcome by myocardial CT perfusion in patients with low-risk unstable angina pectoris. Int J Cardiovasc Imaging 2016; 33:261-270. [DOI: 10.1007/s10554-016-0994-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 10/03/2016] [Indexed: 01/31/2023]
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36
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Myocardial perfusion imaging with dual energy CT. Eur J Radiol 2016; 85:1914-1921. [DOI: 10.1016/j.ejrad.2016.06.023] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Revised: 06/27/2016] [Accepted: 06/29/2016] [Indexed: 12/31/2022]
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37
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Jung J, Kim YH, Kim N, Yang DH. Patient-specific 17-segment myocardial modeling on a bull's eye map. J Appl Clin Med Phys 2016; 17:453-465. [PMID: 27685120 PMCID: PMC5874123 DOI: 10.1120/jacmp.v17i5.6237] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2015] [Revised: 06/08/2016] [Accepted: 06/04/2016] [Indexed: 11/23/2022] Open
Abstract
The purpose of this study was to develop and validate cardiac computed tomog-raphy (CT) quantitative analysis software with a patient-specific, 17-segment myocardial model that uses electrocardiogram (ECG)-gated cardiac CT images to differentiate between normal controls and severe aortic stenosis (AS) patients. ECG-gated cardiac CT images from 35 normal controls and 144 AS patients were semiautomatically segmented to create a patient-specific, 17-segment myocardial model. Two experts then manually determined the anterior and posterior interven-tricular grooves to be boundaries between the 1st and 2nd segments and between the 3rd and 4th segments, respectively, to correct the model. Each segment was automatically identified as follows. The outer angle of two boundaries was divided to differentiate the 1st, 4th, 5th, and 6th segments in the basal plane, whereas the inner angle divided the 2nd and 3rd segments. The segments of the midplane were similarly divided. Segmental area distributions were quantitatively evaluated on the bull's-eye map on the basis of the morphological boundaries by measuring the area of each segment. Segmental areas of severe AS patients and normal controls were significantly different (t-test, all p-values < 0.011) in the proposed model because the septal regions of the severe AS patients were smaller than those of normal controls and the difference was enough to divide the two groups. The capabilities of the 2D segmental areas (p < 0.011) may be equivalent to those of 3D segmental analysis (all p-values < 0.001) for differentiating the two groups (t-test, all p-values < 0.001). The proposed method is superior to the conventional 17-segment in relation to reflection of patient-specific morphological variation and allows to obtain a more precise mapping between segments and the AHA recommended nomenclature. It can be used to differentiate severer AS patients and normal controls and also helps to understand the left ventricular morphology at a glance.
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Baldassarre LA, Raman SV, Min JK, Mieres JH, Gulati M, Wenger NK, Marwick TH, Bucciarelli-Ducci C, Bairey Merz CN, Itchhaporia D, Ferdinand KC, Pepine CJ, Walsh MN, Narula J, Shaw LJ. Noninvasive Imaging to Evaluate Women With Stable Ischemic Heart Disease. JACC Cardiovasc Imaging 2016; 9:421-35. [PMID: 27056162 PMCID: PMC5486953 DOI: 10.1016/j.jcmg.2016.01.004] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 01/20/2016] [Accepted: 01/21/2016] [Indexed: 12/18/2022]
Abstract
Declines in cardiovascular deaths have been dramatic for men but occur significantly less in women. Among patients with symptomatic ischemic heart disease (IHD), women experience relatively worse outcomes compared with their male counterparts. Evidence to date has failed to adequately explore unique female imaging targets and their correlative signs and symptoms of IHD as major determinants of IHD risk. We highlight sex-specific anatomic and functional differences in contemporary imaging and introduce imaging approaches that leverage refined targets that may improve IHD risk prediction and identify potential therapeutic strategies for symptomatic women.
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Affiliation(s)
| | - Subha V Raman
- The Ohio State University College of Medicine, Columbus, Ohio
| | - James K Min
- Weill Cornell Medical College, New York, New York
| | | | - Martha Gulati
- The University of Arizona College of Medicine, Tucson, Arizona
| | | | | | | | | | - Dipti Itchhaporia
- Hoag Memorial Hospital Presbyterian Hospital, Newport Beach, California
| | | | - Carl J Pepine
- University of Florida College of Medicine, Gainesville, Florida
| | | | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, New York, New York
| | - Leslee J Shaw
- Emory University School of Medicine, Atlanta, Georgia.
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Danad I, Szymonifka J, Schulman-Marcus J, Min JK. Static and dynamic assessment of myocardial perfusion by computed tomography. Eur Heart J Cardiovasc Imaging 2016; 17:836-44. [PMID: 27013250 DOI: 10.1093/ehjci/jew044] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2015] [Accepted: 02/18/2016] [Indexed: 12/13/2022] Open
Abstract
Recent developments in computed tomography (CT) technology have fulfilled the prerequisites for the clinical application of myocardial CT perfusion (CTP) imaging. The evaluation of myocardial perfusion by CT can be achieved by static or dynamic scan acquisitions. Although both approaches have proved clinically feasible, substantial barriers need to be overcome before its routine clinical application. The current review provides an outline of the current status of CTP imaging and also focuses on disparities between static and dynamic CTPs for the evaluation of myocardial blood flow.
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Affiliation(s)
- Ibrahim Danad
- NewYork-Presbyterian Hospital and Weill Cornell Medicine, 413 E. 69th Street, Suite 108, New York 10021, NY, USA Dalio Institute of Cardiovascular Imaging, New York, NY, USA
| | - Jackie Szymonifka
- NewYork-Presbyterian Hospital and Weill Cornell Medicine, 413 E. 69th Street, Suite 108, New York 10021, NY, USA Dalio Institute of Cardiovascular Imaging, New York, NY, USA
| | | | - James K Min
- NewYork-Presbyterian Hospital and Weill Cornell Medicine, 413 E. 69th Street, Suite 108, New York 10021, NY, USA Dalio Institute of Cardiovascular Imaging, New York, NY, USA
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Técnica de imagen de perfusión miocárdica con tomografía computarizada de estrés: un nuevo tema en cardiología. Rev Esp Cardiol 2016. [DOI: 10.1016/j.recesp.2015.10.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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41
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Fordyce CB, Douglas PS. Optimal non-invasive imaging test selection for the diagnosis of ischaemic heart disease. Heart 2016; 102:555-64. [DOI: 10.1136/heartjnl-2015-307764] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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42
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Stress Computed Tomography Myocardial Perfusion Imaging: A New Topic in Cardiology. ACTA ACUST UNITED AC 2016; 69:188-200. [PMID: 26774540 DOI: 10.1016/j.rec.2015.10.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Accepted: 10/21/2015] [Indexed: 02/07/2023]
Abstract
Since its introduction about 15 years ago, coronary computed tomography angiography has become today the most accurate clinical instrument for noninvasive assessment of coronary atherosclerosis. Important technical developments have led to a continuous stream of new clinical applications together with a significant reduction in radiation dose exposure. Latest generation computed tomography scanners (≥ 64 slices) allow the possibility of performing static or dynamic perfusion imaging during stress by using coronary vasodilator agents (adenosine, dipyridamole, or regadenoson), combining both functional and anatomical information in the same examination. In this article, the emerging role and state-of-the-art of myocardial computed tomography perfusion imaging are reviewed and are illustrated by clinical cases from our experience with a second-generation dual-source 128-slice scanner (Somatom Definition Flash, Siemens; Erlangen, Germany). Technical aspects, data analysis, diagnostic accuracy, radiation dose and future prospects are reviewed.
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Delgado Sánchez-Gracián C, Oca Pernas R, Trinidad López C, Santos Armentia E, Vaamonde Liste A, Vázquez Caamaño M, Tardáguila de la Fuente G. Quantitative myocardial perfusion with stress dual-energy CT: iodine concentration differences between normal and ischemic or necrotic myocardium. Initial experience. Eur Radiol 2015; 26:3199-207. [PMID: 26699372 DOI: 10.1007/s00330-015-4128-y] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Revised: 11/16/2015] [Accepted: 11/17/2015] [Indexed: 01/14/2023]
Abstract
OBJECTIVES To determine whether the quantification of iodine with stress dual-energy computed tomography (DECT-S) allows for the discrimination between a normal and an ischemic or necrotic myocardium using magnetic resonance (MR) as a reference. METHODS This retrospective study was approved by the institutional review board, with waiver of informed consent. Thirty-six cardiac MR and DECT-S images from patients with suspected coronary artery disease were evaluated. Perfusion defects were visually determined, and myocardial iodine concentration was calculated by two observers using DECT colour-coded iodine maps. Iodine concentration differences were calculated using parametric tests. Receiver operating characteristic (ROC) curve analysis was conducted to estimate the optimal iodine concentration threshold for discriminating pathologic myocardium. RESULTS In total, 576 cardiac segments were evaluated. There were differences in mean iodine concentration (p < 0.001) between normal (2.56 ± 0.66 mg/mL), ischemic (1.98 ± 0.36 mg/dL) and infarcted segments (1.35 ± 0.57 mg/mL). A myocardium iodine concentration of 2.1 mg/mL represented the optimal threshold to discriminate between normal and pathologic myocardium (sensitivity 75 %, specificity 73.6 %, area under the curve 0.806). Excellent agreement was found in measured myocardium iodine concentration (intraclass correlation coefficient 0.814). CONCLUSION Cardiac DECT-S with iodine quantification may be useful to differentiate healthy and ischemic or necrotic myocardium. KEY POINTS • DECT-S allows for determination of myocardial iodine concentration as a quantitative perfusion parameter. • A high interobserver correlation exists in measuring myocardial iodine concentration with DECT-S. • Myocardial iodine concentration may be useful in the assessment of patients with CAD.
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Affiliation(s)
| | - Roque Oca Pernas
- Radiology Department, Povisa Hospital, Salamanca, 36211, Vigo, Pontevedra, Spain.
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Koo HJ, Yang DH, Kim YH, Kang JW, Kang SJ, Kweon J, Kim HJ, Lim TH. CT-based myocardial ischemia evaluation: quantitative angiography, transluminal attenuation gradient, myocardial perfusion, and CT-derived fractional flow reserve. Int J Cardiovasc Imaging 2015; 32 Suppl 1:1-19. [DOI: 10.1007/s10554-015-0825-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 12/08/2015] [Indexed: 12/18/2022]
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Lam WC, Pennell DJ. Imaging of the heart: historical perspective and recent advances. Postgrad Med J 2015; 92:99-104. [DOI: 10.1136/postgradmedj-2015-133831] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 11/09/2015] [Indexed: 02/01/2023]
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Cabeda EV, Falcão AMG, Soares J, Rochitte CE, Nomura CH, Ávila LFR, Parga JR. Dipyridamole stress myocardial perfusion by computed tomography in patients with left bundle branch block. Arq Bras Cardiol 2015; 105:614-24. [PMID: 26421532 PMCID: PMC4693666 DOI: 10.5935/abc.20150117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2015] [Accepted: 04/20/2015] [Indexed: 11/24/2022] Open
Abstract
Background Functional tests have limited accuracy for identifying myocardial ischemia in
patients with left bundle branch block (LBBB). Objective To assess the diagnostic accuracy of dipyridamole-stress myocardial computed
tomography perfusion (CTP) by 320-detector CT in patients with LBBB using invasive
quantitative coronary angiography (QCA) (stenosis ≥ 70%) as reference; to
investigate the advantage of adding CTP to coronary computed tomography
angiography (CTA) and compare the results with those of single photon emission
computed tomography (SPECT) myocardial perfusion scintigraphy. Methods Thirty patients with LBBB who had undergone SPECT for the investigation of
coronary artery disease were referred for stress tomography. Independent examiners
performed per-patient and per-coronary territory assessments. All patients gave
written informed consent to participate in the study that was approved by the
institution’s ethics committee. Results The patients’ mean age was 62 ± 10 years. The mean dose of radiation for
the tomography protocol was 9.3 ± 4.6 mSv. With regard to CTP, the
per-patient values for sensitivity, specificity, positive and negative predictive
values, and accuracy were 86%, 81%, 80%, 87%, and 83%, respectively (p = 0.001).
The per-territory values were 63%, 86%, 65%, 84%, and 79%, respectively (p <
0.001). In both analyses, the addition of CTP to CTA achieved higher diagnostic
accuracy for detecting myocardial ischemia than SPECT (p < 0.001). Conclusion The use of the stress tomography protocol is feasible and has good diagnostic
accuracy for assessing myocardial ischemia in patients with LBBB.
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Affiliation(s)
- Estêvan Vieira Cabeda
- Departamento de Tomografia e Ressonância Cardiovascular, Instituto do Coração, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Andréa Maria Gomes Falcão
- Departamento de Medicina Nuclear, Instituto do Coração, Universidade de São Paulo, São Paulo, SP, Brazil
| | - José Soares
- Departamento de Medicina Nuclear, Instituto do Coração, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Carlos Eduardo Rochitte
- Departamento de Tomografia e Ressonância Cardiovascular, Instituto do Coração, Universidade de São Paulo, São Paulo, SP, Brazil
| | - César Higa Nomura
- Departamento de Tomografia e Ressonância Cardiovascular, Instituto do Coração, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Luiz Francisco Rodrigues Ávila
- Departamento de Tomografia e Ressonância Cardiovascular, Instituto do Coração, Universidade de São Paulo, São Paulo, SP, Brazil
| | - José Rodrigues Parga
- Departamento de Tomografia e Ressonância Cardiovascular, Instituto do Coração, Universidade de São Paulo, São Paulo, SP, Brazil
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Berko NS, Clark ET, Levsky JM. Acute left circumflex coronary artery occlusion detected on nongated CT. Clin Imaging 2015; 39:897-900. [PMID: 26070244 DOI: 10.1016/j.clinimag.2015.05.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2015] [Revised: 05/11/2015] [Accepted: 05/15/2015] [Indexed: 10/23/2022]
Abstract
We describe a patient with chest pain and a nondiagnostic electrocardiogram in whom computed tomographic (CT) aortography demonstrated myocardial hypoperfusion in the distribution of the circumflex artery as well as an abrupt cutoff of contrast in the left circumflex artery. Subsequent cardiac catheterization confirmed occlusion of the circumflex artery and led to revascularization. The diagnosis of acute myocardial infarction on CT can dramatically alter the clinical management of a patient, especially in cases in which other tests are equivocal.
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Affiliation(s)
- Netanel S Berko
- Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, 111 East 210th Street, Bronx, NY 10467-2490.
| | - Elana T Clark
- Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, 111 East 210th Street, Bronx, NY 10467-2490
| | - Jeffrey M Levsky
- Department of Radiology, Albert Einstein College of Medicine, Montefiore Medical Center, 111 East 210th Street, Bronx, NY 10467-2490
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Measuring myocardial perfusion: the role of PET, MRI and CT. Clin Radiol 2015; 70:576-84. [DOI: 10.1016/j.crad.2014.12.017] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Revised: 12/11/2014] [Accepted: 12/29/2014] [Indexed: 02/08/2023]
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Maroules CD, Cury RC, Ghoshhajra BB, Hoffmann U, Litt HI, Blankstein R, Abbara S. Strategy for Building a Successful Coronary CT Angiography Program in the Emergency Department. CURRENT CARDIOVASCULAR IMAGING REPORTS 2015. [DOI: 10.1007/s12410-015-9337-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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50
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Xiong G, Kola D, Heo R, Elmore K, Cho I, Min JK. Myocardial perfusion analysis in cardiac computed tomography angiographic images at rest. Med Image Anal 2015; 24:77-89. [PMID: 26073787 DOI: 10.1016/j.media.2015.05.010] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 05/14/2015] [Accepted: 05/18/2015] [Indexed: 01/25/2023]
Abstract
Cardiac computed tomography angiography (CTA) is a non-invasive method for anatomic evaluation of coronary artery stenoses. However, CTA is prone to artifacts that reduce the diagnostic accuracy to identify stenoses. Further, CTA does not allow for determination of the physiologic significance of the visualized stenoses. In this paper, we propose a new system to determine the physiologic manifestation of coronary stenoses by assessment of myocardial perfusion from typically acquired CTA images at rest. As a first step, we develop an automated segmentation method to delineate the left ventricle. Both endocardium and epicardium are compactly modeled with subdivision surfaces and coupled by explicit thickness representation. After initialization with five anatomical landmarks, the model is adapted to a target image by deformation increments including control vertex displacements and thickness variations guided by trained AdaBoost classifiers, and regularized by a prior of deformation increments from principal component analysis (PCA). The evaluation using a 5-fold cross-validation demonstrates the overall segmentation error to be 1.00 ± 0.39 mm for endocardium and 1.06 ± 0.43 mm for epicardium, with a boundary contour alignment error of 2.79 ± 0.52. Based on our LV model, two types of myocardial perfusion analyzes have been performed. One is a perfusion network analysis, which explores the correlation (as network edges) pattern of perfusion between all pairs of myocardial segments (as network nodes) defined in AHA 17-segment model. We find perfusion network display different patterns in the normal and disease groups, as divided by whether significant coronary stenosis is present in quantitative coronary angiography (QCA). The other analysis is a clinical validation assessment of the ability of the developed algorithm to predict whether a patient has significant coronary stenosis when referenced to an invasive QCA ground truth standard. By training three machine learning techniques using three features of normalized perfusion intensity, transmural perfusion ratio, and myocardial wall thickness, we demonstrate AdaBoost to be slightly better than Naive Bayes and Random Forest by the area under receiver operating characteristics (ROC) curve. For the AdaBoost algorithm, an optimal cut-point reveals an accuracy of 0.70, with sensitivity and specificity of 0.79 and 0.64, respectively. Our study shows perfusion analysis from CTA images acquired at rest is useful for providing physiologic information in diagnosis of obstructive coronary artery stenoses.
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Affiliation(s)
- Guanglei Xiong
- Department of Radiology and Dalio Institute of Cardiovascular Imaging, Weill Cornell Medical College, 10021 NY, USA.
| | - Deeksha Kola
- Dalio Institute of Cardiovascular Imaging NewYork-Presbyterian Hospital and Weill Cornell Medical College, 10021 NY, USA.
| | - Ran Heo
- Division of Cardiology, Severance Cardiovascular Hospital, Seoul, Korea.
| | - Kimberly Elmore
- Dalio Institute of Cardiovascular Imaging NewYork-Presbyterian Hospital and Weill Cornell Medical College, 10021 NY, USA.
| | - Iksung Cho
- Dalio Institute of Cardiovascular Imaging NewYork-Presbyterian Hospital and Weill Cornell Medical College, 10021 NY, USA.
| | - James K Min
- Dalio Institute of Cardiovascular Imaging NewYork-Presbyterian Hospital and Weill Cornell Medical College, 10021 NY, USA.
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