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Gender Differences in Epicardial Adipose Tissue and Plaque Composition by Coronary CT Angiography: Association with Cardiovascular Outcome. Diagnostics (Basel) 2023; 13:diagnostics13040624. [PMID: 36832112 PMCID: PMC9955054 DOI: 10.3390/diagnostics13040624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/01/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023] Open
Abstract
Background: To investigate gender differences in epicardial adipose tissue (EAT) and plaque composition by coronary CT angiography (CCTA) and the association with cardiovascular outcome. Methods: Data of 352 patients (64.2 ± 10.3 years, 38% female) with suspected coronary artery disease (CAD) who underwent CCTA were retrospectively analyzed. EAT volume and plaque composition from CCTA were compared between men and women. Major adverse cardiovascular events (MACE) were recorded from follow-up. Results: Men were more likely to have obstructive CAD, higher Agatston scores, and a larger total and non-calcified plaque burden. In addition, men displayed more adverse plaque characteristics and EAT volume compared to women (all p < 0.05). After a median follow-up of 5.1 years, MACE occurred in 8 women (6%) and 22 men (10%). In multivariable analysis, Agatston calcium score (HR 1.0008, p = 0.014), EAT volume (HR 1.067, p = 0.049), and low-attenuation plaque (HR 3.82, p = 0.036) were independent predictors for MACE in men, whereas only low-attenuation plaque (HR 2.42, p = 0.041) showed predictive value for events in women. Conclusion: Women demonstrated less overall plaque burden, fewer adverse plaque characteristics, and a smaller EAT volume compared to men. However, low-attenuation plaque is a predictor for MACE in both genders. Thus, a differentiated plaque analysis is warranted to understand gender differences of atherosclerosis to guide medical therapy and prevention strategies.
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Huang Z, Xiao J, Wang X, Li Z, Guo N, Hu Y, Li X, Wang X. Clinical Evaluation of the Automatic Coronary Artery Disease Reporting and Data System (CAD-RADS) in Coronary Computed Tomography Angiography Using Convolutional Neural Networks. Acad Radiol 2022; 30:698-706. [PMID: 35753936 DOI: 10.1016/j.acra.2022.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 05/24/2022] [Accepted: 05/24/2022] [Indexed: 11/01/2022]
Abstract
RATIONALE AND OBJECTIVES The coronary artery disease reporting and data system (CAD-RADS™) was recently introduced to standardise reporting. We aimed to evaluate the utility of an automatic postprocessing and reporting system based on CAD-RADS™ in suspected coronary artery disease (CAD) patients. MATERIALS AND METHODS Clinical evaluation was performed in 346 patients who underwent coronary computed tomography angiography (CCTA). We compared deep learning (DL)-based CCTA with human readers for evaluation of CAD-RADS™ with commercially-available automated segmentation and manual postprocessing in a retrospective validation cohort. RESULTS Compared with invasive coronary angiography, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the DL model for diagnosis of CAD were 79.02%, 86.52%, 89.50%, 73.94%, and 82.08%, respectively. There was no significant difference between the DL-based and the reader-based CAD-RADS™ grading of CCTA results. Consistency testing showed that the Kappa value between the model and the readers was 0.775 (95% confidence interval [CI]: 0.728-0.823, p < 0.001), 0.802 (95% CI: 0.756-0.847, p < 0.001), and 0.796 (95% CI: 0.750-0.843, p < 0.001), respectively. This system reduces the time taken from 14.97 ± 1.80 min to 5.02 ± 0.8 min (p < 0.001). CONCLUSION The standardised reporting of DL-based CAD-RADS™ in CCTA can accurately and rapidly evaluate suspected CAD patients, and has good consistency with grading by radiologists.
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Affiliation(s)
- Zengfa Huang
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianwei Xiao
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xi Wang
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zuoqin Li
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ning Guo
- Shukun (Beijing) Technology Co., Ltd., Jinhui Building, Qiyang Road, 100102 Beijing, China
| | - Yun Hu
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Li
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Wang
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Dawson LP, Smith K, Cullen L, Nehme Z, Lefkovits J, Taylor AJ, Stub D. Care Models for Acute Chest Pain That Improve Outcomes and Efficiency. J Am Coll Cardiol 2022; 79:2333-2348. [DOI: 10.1016/j.jacc.2022.03.380] [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: 02/11/2022] [Revised: 03/30/2022] [Accepted: 03/30/2022] [Indexed: 10/18/2022]
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Prognostic Value of Coronary Artery Disease-Reporting and Data System Score for Major Adverse Cardiac Events in Patients Attending the Emergency Department With Acute Chest Pain. J Comput Assist Tomogr 2021; 45:395-402. [PMID: 34297510 DOI: 10.1097/rct.0000000000001153] [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
OBJECTIVE This study aimed to compare the prognostic performance of Coronary Artery Disease (CAD)-Reporting and Data System (CAD-RADS) score with those of clinical risk factors and the extent of CAD classification for predicting major adverse cardiac events in emergency department patients. METHODS A total of 779 patients with acute chest pain at low to intermediate risk for CAD underwent cardiac computed tomography angiography. The primary end point was early and late major adverse cardiac events. We developed the following models: model 1, clinical risk factors; model 2, clinical risk factors and CAD-RADS scores; model 3, clinical risk factors and extent of CAD. RESULTS The C-statistics revealed that both CAD-RADS score and CAD extent improved risk stratification over the clinical risk factors (C-index for early events: C-index: 0.901 vs 0.814 and 0.911 vs 0.814; C-index for late events: 0.897 vs 0.808 and 0.905 vs 0.808; all P < 0.05). CONCLUSIONS The CAD-RADS score had additional risk prediction benefits over clinical risk factors for emergency department patients.
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Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use. J Digit Imaging 2021; 34:554-571. [PMID: 33791909 DOI: 10.1007/s10278-021-00441-6] [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] [Received: 05/25/2020] [Revised: 11/09/2020] [Accepted: 03/01/2021] [Indexed: 12/22/2022] Open
Abstract
Coronary computed tomography angiography (CCTA) evaluation of chest pain patients in an emergency department (ED) is considered appropriate. While a "negative" CCTA interpretation supports direct patient discharge from an ED, labor-intensive analyses are required, with accuracy in jeopardy from distractions. We describe the development of an artificial intelligence (AI) algorithm and workflow for assisting qualified interpreting physicians in CCTA screening for total absence of coronary atherosclerosis. The two-phase approach consisted of (1) phase 1-development and preliminary testing of an algorithm for vessel-centerline extraction classification in a balanced study population (n = 500 with 50% disease prevalence) derived by retrospective random case selection, and (2) phase 2-simulated clinical Trialing of developed algorithm on a per-case (entire coronary artery tree) basis in a more "real-world" study population (n = 100 with 28% disease prevalence) from an ED chest pain series. This allowed pre-deployment evaluation of the AI-based CCTA screening application which provides vessel-by-vessel graphic display of algorithm inference results integrated into a clinically capable viewer. Algorithm performance evaluation used area under the receiver operating characteristic curve (AUC-ROC); confusion matrices reflected ground truth vs AI determinations. The vessel-based algorithm demonstrated strong performance with AUC-ROC = 0.96. In both phase 1 and phase 2, independent of disease prevalence differences, negative predictive values at the case level were very high at 95%. The rate of completion of the algorithm workflow process (96% with inference results in 55-80 s) in phase 2 depended on adequate image quality. There is potential for this AI application to assist in CCTA interpretation to help extricate atherosclerosis from chest pain presentations.
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Ternovoy S, Ustyuzhanin D, Shariya M, Shabanova M, Gaman S, Serova N, Mironov V, Merkulova I, Rienmueller A, Meyer EL, Rienmueler T. Reliability of coronary computed tomography angiography in acute coronary syndrome in an emergency setting. Heliyon 2021; 7:e06075. [PMID: 33553774 PMCID: PMC7856469 DOI: 10.1016/j.heliyon.2021.e06075] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 08/19/2020] [Accepted: 01/20/2021] [Indexed: 11/19/2022] Open
Abstract
Background Cardiovascular computed tomography (cardiovascular CT) is currently used as a fast non-invasive method for the visualization of coronary plaques and walls and the assessment of lumen stenosis severity. Previous studies demonstrated the high negative predictive value of CT for the exclusion of coronary lumen stenoses. In this study we hypothesize that coronary CT angiography (CTA) represents a reliable method as diagnostic procedure in acute coronary syndrome (ACS) even in emergency settings. Methods 36 patients (51 lesions) with ACS who underwent cardiovascular CT, intravascular ultrasound (IVUS) and invasive coronary angiography (ICA) within 48 h were included. The percentage of coronary stenoses were measured and compared by three methods. Influence of available predictors that can potentially affect the measurement results was assessed. Results Cardiac CTA provided comparable results to IVUS (mean difference -0.45%, PPV: 98%, NPV: 75%). ICA tends to estimate lower stenoses degrees than cardiac CTA and IVUS (mean difference 13.19% and 13.64%, respectively). The final diagnosis and positive remodeling did not lead to any significant influence on measurements. Conclusions The cardiovascular CT results show that even in emergency settings it is possible to identify morphological changes as sequels of coronary artery sclerosis with comparable results to the reference method IVUS. Deviations of IVUS and cardiovascular CT from ICA are comparable and can to a large extent be explained by differences in the measurement technique.
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Affiliation(s)
- Sergey Ternovoy
- Sechenov First Moscow State Medical University (Sechenov University), 6-1 Bolshaya Pirogovskaya st., 119435 Moscow, Russian Federation
- National Medical Research Center of Cardiology, 15а 3-rd Cherepkovskaya st., 121552, Moscow, Russian Federation
- Corresponding author.
| | - Dmitry Ustyuzhanin
- National Medical Research Center of Cardiology, 15а 3-rd Cherepkovskaya st., 121552, Moscow, Russian Federation
| | - Merab Shariya
- Sechenov First Moscow State Medical University (Sechenov University), 6-1 Bolshaya Pirogovskaya st., 119435 Moscow, Russian Federation
- National Medical Research Center of Cardiology, 15а 3-rd Cherepkovskaya st., 121552, Moscow, Russian Federation
| | - Maria Shabanova
- National Medical Research Center of Cardiology, 15а 3-rd Cherepkovskaya st., 121552, Moscow, Russian Federation
| | - Svetlana Gaman
- National Medical Research Center of Cardiology, 15а 3-rd Cherepkovskaya st., 121552, Moscow, Russian Federation
| | - Natalya Serova
- Sechenov First Moscow State Medical University (Sechenov University), 6-1 Bolshaya Pirogovskaya st., 119435 Moscow, Russian Federation
| | - Vsevolod Mironov
- National Medical Research Center of Cardiology, 15а 3-rd Cherepkovskaya st., 121552, Moscow, Russian Federation
| | - Irina Merkulova
- National Medical Research Center of Cardiology, 15а 3-rd Cherepkovskaya st., 121552, Moscow, Russian Federation
| | - Anna Rienmueller
- Department of Orthopedic Surgery, Medical University Vienna General Hospital, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Elias Laurin Meyer
- Section for Medical Statistics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University Vienna, Spitalgasse 23, BT88/E 03, 1090 Vienna, Austria
| | - Theresa Rienmueler
- Institute of Health Care Engineering, Graz University of Technology, Stremayrgasse 16/II, 8010 Graz, Austria
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Sozzi FB, Belmonte M, Schiavone M, Canetta C, Blasi F. Considerations on cardiac patients during Covid‐19 outbreak. Echocardiography 2020; 37:1321-1322. [PMID: 32654172 PMCID: PMC7404830 DOI: 10.1111/echo.14790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/16/2020] [Accepted: 06/23/2020] [Indexed: 11/27/2022] Open
Affiliation(s)
- Fabiola B. Sozzi
- Fondazione Ospedale Maggiore Policlinico IRCCS Cà Granda Milan Italy
| | - Marta Belmonte
- Fondazione Ospedale Maggiore Policlinico IRCCS Cà Granda Milan Italy
| | - Marco Schiavone
- Fondazione Ospedale Maggiore Policlinico IRCCS Cà Granda Milan Italy
| | | | - Francesco Blasi
- Fondazione Ospedale Maggiore Policlinico IRCCS Cà Granda Milan Italy
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Brandberg H, Kahan T, Spaak J, Sundberg K, Koch S, Adeli A, Sundberg CJ, Zakim D. A prospective cohort study of self-reported computerised medical history taking for acute chest pain: protocol of the CLEOS-Chest Pain Danderyd Study (CLEOS-CPDS). BMJ Open 2020; 10:e031871. [PMID: 31969363 PMCID: PMC7044839 DOI: 10.1136/bmjopen-2019-031871] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 12/13/2019] [Accepted: 12/16/2019] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION Management of acute chest pain focuses on diagnosis or safe rule-out of an acute coronary syndrome (ACS). We aim to determine the additional value of self-reported computerised history taking (CHT). METHODS AND ANALYSIS Prospective cohort study design with self-reported, medical histories collected by a CHT programme (Clinical Expert Operating System, CLEOS) using a tablet. Women and men presenting with acute chest pain to the emergency department at Danderyd University Hospital (Stockholm, Sweden) are eligible. CHT will be compared with standard history taking for completeness of data required to calculate ACS risk scores such as History, ECG, Age, Risk factors and Troponin (HEART), Global Registry of Acute Coronary Events (GRACE), and Thrombolysis in Myocardial Infarction (TIMI). Clinical outcomes will be extracted from hospital electronic health records and national registries. The CLEOS-Chest Pain Danderyd Study project includes (1) a feasibility study of CHT, (2) a validation study of CHT as compared with standard history taking, (3) a paired diagnostic accuracy study using data from CHT and established risk scores, (4) a clinical utility study to evaluate the impact of CHT on the management of chest pain and the use of resources, and (5) data mining, aiming to generate an improved risk score for ACS. Primary outcomes will be analysed after 1000 patients, but to allow for subgroup analysis, the study intends to recruit 2000 or more patients. This ongoing project may lead to new and more effective ways for collecting thorough, accurate medical histories with important implications for clinical practice. ETHICS AND DISSEMINATION This study has been reviewed and approved by the Stockholm Regional Ethical Committee (now Swedish Ethical Review Authority). Results will be published, regardless of the outcome, in peer-reviewed international scientific journals. TRIAL REGISTRATION NUMBER This study is registered at https://www.clinicaltrials.gov (unique identifier: NCT03439449).
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Affiliation(s)
- Helge Brandberg
- Department of Clinical Sciences, Danderyd Hospital, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Stockholm County, Sweden
| | - Thomas Kahan
- Department of Clinical Sciences, Danderyd Hospital, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Stockholm County, Sweden
| | - Jonas Spaak
- Department of Clinical Sciences, Danderyd Hospital, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Stockholm County, Sweden
| | - Kay Sundberg
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Sabine Koch
- Department of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Athena Adeli
- Department of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Stockholm, Sweden
| | - Carl Johan Sundberg
- Department of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Stockholm, Sweden
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - David Zakim
- Department of Learning, Informatics, Management and Ethics, Medical Management Centre, and Health Informatics Centre, Karolinska Institutet, Stockholm, Stockholm, Sweden
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Einstein AJ, Newhouse JH. Differences in Nephrotoxicity between Modes of Iodinated Contrast Material Administration in Patients Suspected of Having Coronary Artery Disease. Radiology 2019; 292:673-675. [DOI: 10.1148/radiol.2019191163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Andrew J. Einstein
- From the Department of Medicine (A.J.E.), Seymour, Paul and Gloria Milstein Division of Cardiology (A.J.E.), and Department of Radiology (A.J.E., J.H.N.), Columbia University Irving Medical Center and New York-Presbyterian Hospital, 622 W 168th St, PH 10-203, New York, NY 10032
| | - Jeffrey H. Newhouse
- From the Department of Medicine (A.J.E.), Seymour, Paul and Gloria Milstein Division of Cardiology (A.J.E.), and Department of Radiology (A.J.E., J.H.N.), Columbia University Irving Medical Center and New York-Presbyterian Hospital, 622 W 168th St, PH 10-203, New York, NY 10032
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10
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Inter-observer agreement of the Coronary Artery Disease Reporting and Data System (CAD-RADS TM) in patients with stable chest pain. Pol J Radiol 2018; 83:e151-e159. [PMID: 30038693 PMCID: PMC6047094 DOI: 10.5114/pjr.2018.75641] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Accepted: 02/09/2018] [Indexed: 12/13/2022] Open
Abstract
Purpose To assess inter-observer variability of the Coronary Artery Disease - Reporting and Data System (CAD-RADS) for classifying the degree of coronary artery stenosis in patients with stable chest pain. Material and methods A prospective study was conducted upon 96 patients with coronary artery disease, who underwent coronary computed tomography angiography (CTA). The images were classified using the CAD-RAD system according to the degree of stenosis, the presence of a modifier: graft (G), stent (S), vulnerable plaque (V), or non-diagnostic (n) and the associated coronary anomalies, and non-coronary cardiac and extra-cardiac findings. Image analysis was performed by two reviewers. Inter-observer agreement was assessed. Results There was excellent inter-observer agreement for CAD-RADS (k = 0.862), at 88.5%. There was excellent agreement for CAD-RADS 0 (k = 1.0), CAD-RADS 1 (k = 0.92), CAD-RADS 3 (k = 0.808), CAD-RADS 4 (k = 0.826), and CAD-RADS 5 (k = 0.833) and good agreement for CAD-RADS 2 (k = 0.76). There was excellent agreement for modifier G (k = 1.0) and modifier S (k = 1.0), good agreement for modifier N (k = 0.79), and moderate agreement for modifier V (k = 0.59). There was excellent agreement for associated coronary artery anomalies (k = 0.845), non-coronary cardiac findings (k = 0.857), and extra-cardiac findings (k = 0.81). Conclusions There is inter-observer agreement of CAD-RADS in categorising the degree of coronary arteries stenosis, and the modifier of the system and associated cardiac and extra-cardiac findings.
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Weatherspoon K, Gilbertie W, Catanzano T. Emergency Computed Tomography Angiogram of the Chest, Abdomen, and Pelvis. Semin Ultrasound CT MR 2017; 38:370-383. [PMID: 28865527 DOI: 10.1053/j.sult.2017.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
In the setting of blunt trauma, the rapid assessment of internal injuries is essential to prevent potentially fatal outcomes. Computed tomography is a useful diagnostic tool for both screening and diagnosis. In addition to trauma, acute chest syndromes often warrant emergent computed tomographic angiography, looking for etiologies such as aortic aneurysms or complications of aortic aneurysms, or both, pulmonary emboli, as well as other acute vascular process like aortic dissection and Takayasu aortitis. With continued improvements in diagnostic imaging, computed tomographic angiography of the chest, abdominal and pelvis proves to be an effective modality to image the aorta and other major vascular structures.
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Affiliation(s)
- Kimberly Weatherspoon
- Department of Radiology, Baystate Medical Center-University of Massachusetts, Springfield, MA.
| | - Wayne Gilbertie
- Department of Radiology, Baystate Medical Center-University of Massachusetts, Springfield, MA
| | - Tara Catanzano
- Department of Radiology, Baystate Medical Center-University of Massachusetts, Springfield, MA
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Ghoshhajra BB, Takx RAP, Staziaki PV, Vadvala H, Kim P, Neilan TG, Meyersohn NM, Bittner D, Janjua SA, Mayrhofer T, Greenwald JL, Truong QA, Abbara S, Brown DFM, Januzzi JL, Francis S, Nagurney JT, Hoffmann U. Clinical implementation of an emergency department coronary computed tomographic angiography protocol for triage of patients with suspected acute coronary syndrome. Eur Radiol 2017; 27:2784-2793. [PMID: 27885414 PMCID: PMC5976244 DOI: 10.1007/s00330-016-4562-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Revised: 08/03/2016] [Accepted: 08/11/2016] [Indexed: 12/27/2022]
Abstract
OBJECTIVES To evaluate the efficiency and safety of emergency department (ED) coronary computed tomography angiography (CTA) during a 3-year clinical experience. METHODS Single-center registry of coronary CTA in consecutive ED patients with suspicion of acute coronary syndrome (ACS). The primary outcome was efficiency of coronary CTA defined as the length of hospitalization. Secondary endpoints of safety were defined as the rate of downstream testing, normalcy rates of invasive coronary angiography (ICA), absence of missed ACS, and major adverse cardiac events (MACE) during follow-up, and index radiation exposure. RESULTS One thousand twenty two consecutive patients were referred for clinical coronary CTA with suspicion of ACS. Overall, median time to discharge home was 10.5 (5.7-24.1) hours. Patient disposition was 42.7 % direct discharge from the ED, 43.2 % discharge from emergency unit, and 14.1 % hospital admission. ACS rate during index hospitalization was 9.1 %. One hundred ninety two patients underwent additional diagnostic imaging and 77 underwent ICA. The positive predictive value of CTA compared to ICA was 78.9 % (95 %-CI 68.1-87.5 %). Median CT radiation exposure was 4.0 (2.5-5.8) mSv. No ACS was missed; MACE at follow-up after negative CTA was 0.2 %. CONCLUSIONS Coronary CTA in an experienced tertiary care setting allows for efficient and safe management of patients with suspicion for ACS. KEY POINTS • ED Coronary CTA using advanced systems is associated with low radiation exposure. • Negative coronary CTA is associated with low rates of MACE. • CTA in ED patients enables short median time to discharge home. • CTA strategy is characterized by few downstream tests including unnecessary ICA.
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Affiliation(s)
- Brian B Ghoshhajra
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA.
| | - Richard A P Takx
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Pedro V Staziaki
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
| | - Harshna Vadvala
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
| | - Phillip Kim
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
| | - Tomas G Neilan
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
- Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Nandini M Meyersohn
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
| | - Daniel Bittner
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
- Friedrich-Alexander University Erlangen-Nürnberg (FAU), Department of Medicine 2 - Cardiology, University Hospital Erlangen, Erlangen, Germany
| | - Sumbal A Janjua
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
| | - Thomas Mayrhofer
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
- School of Business Studies, Stralsund University of Applied Sciences, Stralsund, Germany
| | - Jeffrey L Greenwald
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Quyhn A Truong
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
- Department of Radiology, Weill Cornell College of Medicine, New York, NY, USA
| | - Suhny Abbara
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
- Department Cardiothoracic Imaging, UT Southwestern Medical Center, Dallas, TX, USA
| | - David F M Brown
- Department of Emergency Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - James L Januzzi
- Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Sanjeev Francis
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
- Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - John T Nagurney
- Department of Emergency Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Udo Hoffmann
- Cardiac MR PET CT Program, Department of Radiology (Cardiovascular Imaging) and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114-2750, USA
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La Grutta L, Toia P, Maffei E, Cademartiri F, Lagalla R, Midiri M. Infarct characterization using CT. Cardiovasc Diagn Ther 2017; 7:171-188. [PMID: 28540212 DOI: 10.21037/cdt.2017.03.18] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Myocardial infarction (MI) is a major cause of death and disability worldwide. The incidence is not expected to diminish, despite better prevention, diagnosis and treatment, because of the ageing population in industrialized countries and unhealthy lifestyles in developing countries. Nowadays it is highly requested an imaging tool able to evaluate MI and viability. Technology improvements determined an expansion of clinical indications from coronary plaque evaluation to functional applications (perfusion, ischemia and viability after MI) integrating additional phases and information in the mainstream examination. Cardiac computed tomography (CCT) and cardiac MR (CMR) employ different contrast media, but may characterize MI with overlapping imaging findings due to the similar kinetics and tissue distribution of gadolinium and iodinated contrast media. CCT may detect first-pass perfusion defects, dynamic perfusion after pharmacological stress, and delayed enhancement (DE) of non-viable territories.
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Affiliation(s)
| | - Patrizia Toia
- Department of Radiology, DIBIMED, University of Palermo, Palermo, Italy
| | - Erica Maffei
- Department of Radiology, Montreal Heart Institute/Universitè de Montreal, Montreal, Canada
| | - Filippo Cademartiri
- Department of Radiology, Montreal Heart Institute/Universitè de Montreal, Montreal, Canada.,Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Roberto Lagalla
- Department of Radiology, DIBIMED, University of Palermo, Palermo, Italy
| | - Massimo Midiri
- Department of Radiology, DIBIMED, University of Palermo, Palermo, Italy
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14
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MELAS Syndrome with Cardiac Involvement: A Multimodality Imaging Approach. Case Rep Cardiol 2016; 2016:1490181. [PMID: 27891257 PMCID: PMC5116498 DOI: 10.1155/2016/1490181] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2016] [Accepted: 09/22/2016] [Indexed: 02/07/2023] Open
Abstract
A 49-year-old man presented with chest pain, dyspnea, and lactic acidosis. Left ventricular hypertrophy and myocardial fibrosis were detected. The sequencing of mitochondrial genome (mtDNA) revealed the presence of A to G mtDNA point mutation at position 3243 (m.3243A>G) in tRNALeu(UUR) gene. Diagnosis of cardiac involvement in a patient with Mitochondrial Encephalomyopathy, Lactic Acidosis, and Stroke-like episodes syndrome (MELAS) was made. Due to increased risk of sudden cardiac death, cardioverter defibrillator was implanted.
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15
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Lüscher TF. Troponin: the basis of decision-making in suspected acute coronary syndromes and beyond. Eur Heart J 2016; 37:2385-7. [DOI: 10.1093/eurheartj/ehw329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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16
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Sevag Packard RR, Karlsberg RP. Integrating FFRCT Into Routine Clinical Practice: A Solid PLATFORM or Slippery Slope? J Am Coll Cardiol 2016; 68:446-449. [PMID: 27470450 PMCID: PMC5378152 DOI: 10.1016/j.jacc.2016.05.056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Accepted: 05/23/2016] [Indexed: 11/28/2022]
Affiliation(s)
- René R Sevag Packard
- Division of Cardiology, Ronald Reagan UCLA Medical Center, Los Angeles, California; Department of Molecular, Cellular, and Integrative Physiology, University of California, Los Angeles, California; David Geffen School of Medicine at UCLA, Los Angeles, California; Cardiovascular Research Foundation of Southern California, Los Angeles, California
| | - Ronald P Karlsberg
- David Geffen School of Medicine at UCLA, Los Angeles, California; Cardiovascular Research Foundation of Southern California, Los Angeles, California; Cedars Sinai Heart Institute, Los Angeles, California.
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17
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Di Marco L, Rosset M, Zhang-Yin J, Ohana M. [Multimodal imaging of ischemic heart diseases: A 2015 update]. Rev Med Interne 2016; 37:350-62. [PMID: 26775644 DOI: 10.1016/j.revmed.2015.12.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Revised: 10/08/2015] [Accepted: 12/08/2015] [Indexed: 11/26/2022]
Abstract
Current realities and future possibilities of imaging in the ischemic heart diseases are very broad and constantly evolving, with the improvement of existing technologies and the introduction of new features such as dual-energy CT, strain ultrasound, multimodality fusion or perfusion MRI. Regular collaboration between prescribing clinicians, cardiologists, radiologists and nuclear radiologists is therefore essential to tailor the examination to the specific clinical question. The indications for each modality will therefore depend on its diagnostic performance, cost, acquisition and post-processing times and eventual radiation exposure. This review will detail principles and applications of current cardiac imaging examinations: echocardiography, nuclear medicine, MRI, CT and coronary angiography, emphasizing their current strengths and weaknesses in the ischemic heart diseases management.
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Affiliation(s)
- L Di Marco
- Imagerie, Bocage Central, 14, rue Paul-Gaffarel, 21000 Dijon, France.
| | - M Rosset
- Cardiologie, hôpital Louis-Pradel, 28, avenue du Doyen-Jean-Lépine, 69500 Bron, France
| | - J Zhang-Yin
- Médecine nucléaire, hôpital d'instruction des armées du Val-de-Grâce, 74, boulevard de Port-Royal, 75005 Paris, France
| | - M Ohana
- Imagerie, Nouvel Hôpital Civil, 1, place de l'Hôpital, 67000 Strasbourg, France
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18
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Affiliation(s)
- Thomas F Lüscher
- Editor-in-Chief, Zurich Heart House, Careum Campus, Moussonstrasse 4, 8091 Zurich, Switzerland
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