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Chen X, Cao H, Li Y, Chen F, Peng Y, Zheng T, Chen M. Hemodynamic influence of mild stenosis morphology in different coronary arteries: a computational fluid dynamic modelling study. Front Bioeng Biotechnol 2024; 12:1439846. [PMID: 39157447 PMCID: PMC11327040 DOI: 10.3389/fbioe.2024.1439846] [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: 05/31/2024] [Accepted: 07/02/2024] [Indexed: 08/20/2024] Open
Abstract
Introduction: Mild stenosis [degree of stenosis (DS) < 50%] is commonly labeled as nonobstructive lesion. Some lesions remain stable for several years, while others precipitate acute coronary syndromes (ACS) rapidly. The causes of ACS and the factors leading to diverse clinical outcomes remain unclear. Method: This study aimed to investigate the hemodynamic influence of mild stenosis morphologies in different coronary arteries. The stenoses were modeled with different morphologies based on a healthy individual data. Computational fluid dynamics analysis was used to obtain hemodynamic characteristics, including flow waveforms, fractional flow reserve (FFR), flow streamlines, time-average wall shear stress (TAWSS), and oscillatory shear index (OSI). Results: Numerical simulation indicated significant hemodynamic differences among different DS and locations. In the 20%-30% range, significant large, low-velocity vortexes resulted in low TAWSS (<4 dyne/cm2) around stenoses. In the 30%-50% range, high flow velocity due to lumen area reduction resulted in high TAWSS (>40 dyne/cm2), rapidly expanding the high TAWSS area (averagely increased by 0.46 cm2) in left main artery and left anterior descending artery (LAD), where high OSI areas remained extensive (>0.19 cm2). Discussion: While mild stenosis does not pose any immediate ischemic risk due to a FFR > 0.95, 20%-50% stenosis requires attention and further subdivision based on location is essential. Rapid progression is a danger for lesions with 20%-30% DS near the stenoses and in the proximal LAD, while lesions with 30%-50% DS can cause plaque injury and rupture. These findings support clinical practice in early assessment, monitoring, and preventive treatment.
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Affiliation(s)
- Xi Chen
- Department of Mechanics and Engineering, College Architecture and Environment, Sichuan University, Chengdu, China
| | - Haoyao Cao
- Department of Mechanics and Engineering, College Architecture and Environment, Sichuan University, Chengdu, China
- Yibin Institute of Industrial Technology, Sichuan University, Yibin, China
| | - Yiming Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Fei Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yong Peng
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Tinghui Zheng
- Department of Mechanics and Engineering, College Architecture and Environment, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Mao Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
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Dimitriadis K, Pyrpyris N, Theofilis P, Mantzouranis E, Beneki E, Kostakis P, Koutsopoulos G, Aznaouridis K, Aggeli K, Tsioufis K. Computed Tomography Angiography Identified High-Risk Coronary Plaques: From Diagnosis to Prognosis and Future Management. Diagnostics (Basel) 2024; 14:1671. [PMID: 39125547 PMCID: PMC11311283 DOI: 10.3390/diagnostics14151671] [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: 07/07/2024] [Revised: 07/29/2024] [Accepted: 07/31/2024] [Indexed: 08/12/2024] Open
Abstract
CT angiography has become, in recent years, a main evaluating modality for patients with coronary artery disease (CAD). Recent advancements in the field have allowed us to identity not only the presence of obstructive disease but also the characteristics of identified lesions. High-risk coronary atherosclerotic plaques are identified in CT angiographies via a number of specific characteristics and may provide prognostic and therapeutic implications, aiming to prevent future ischemic events via optimizing medical treatment or providing coronary interventions. In light of new evidence evaluating the safety and efficacy of intervening in high-risk plaques, even in non-flow-limiting disease, we aim to provide a comprehensive review of the diagnostic algorithms and implications of plaque vulnerability in CT angiography, identify any differences with invasive imaging, analyze prognostic factors and potential future therapeutic options in such patients, as well as discuss new frontiers, including intervening in non-flow-limiting stenoses and the role of CT angiography in patient stratification.
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Affiliation(s)
- Kyriakos Dimitriadis
- First Department of Cardiology, School of Medicine, Hippokration General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (N.P.); (P.T.); (E.M.); (E.B.); (P.K.); (G.K.); (K.A.); (K.A.); (K.T.)
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Lin X, Zhou T, Ni J, Li J, Guan Y, Jiang X, Zhou X, Xia Y, Xu F, Hu H, Dong Q, Liu S, Fan L. CT-based whole lung radiomics nomogram: a tool for identifying the risk of cardiovascular disease in patients with chronic obstructive pulmonary disease. Eur Radiol 2024; 34:4852-4863. [PMID: 38216755 DOI: 10.1007/s00330-023-10502-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 09/22/2023] [Accepted: 10/31/2023] [Indexed: 01/14/2024]
Abstract
OBJECTIVES To evaluate the value of CT-based whole lung radiomics nomogram for identifying the risk of cardiovascular disease (CVD) in patients with chronic obstructive pulmonary disease (COPD). MATERIALS AND METHODS A total of 974 patients with COPD were divided into a training cohort (n = 402), an internal validation cohort (n = 172), and an external validation cohort (n = 400) from three hospitals. Clinical data and CT findings were analyzed. Radiomics features of whole lung were extracted from the non-contrast chest CT images. A radiomics signature was constructed with algorithms. Combined with the radiomics score and independent clinical factors, multivariate logistic regression analysis was used to establish a radiomics nomogram. ROC curve was used to analyze the prediction performance of the model. RESULTS Age, weight, and GOLD were the independent clinical factors. A total of 1218 features were extracted and reduced to 15 features to build the radiomics signature. In the training cohort, the combined model (area under the curve [AUC], 0.731) showed better discrimination capability (p < 0.001) than the clinical factors model (AUC, 0.605). In the internal validation cohort, the combined model (AUC, 0.727) performed better (p = 0.032) than the clinical factors model (AUC, 0.629). In the external validation cohort, the combined model (AUC, 0.725) performed better (p < 0.001) than the clinical factors model (AUC, 0.690). Decision curve analysis demonstrated the radiomics nomogram outperformed the clinical factors model. CONCLUSION The CT-based whole lung radiomics nomogram has the potential to identify the risk of CVD in patients with COPD. CLINICAL RELEVANCE STATEMENT This study helps to identify cardiovascular disease risk in patients with chronic obstructive pulmonary disease on chest CT scans. KEY POINTS • To investigate the value of CT-based whole lung radiomics features in identifying the risk of cardiovascular disease in chronic obstructive pulmonary disease patients. • The radiomics nomogram showed better performance than the clinical factors model to identify the risk of cardiovascular disease in patients with chronic obstructive pulmonary disease. • The radiomics nomogram demonstrated excellent performance in the training, internal validation, and external validation cohort (AUC, 0.731; AUC, 0.727; AUC, 0.725).
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Affiliation(s)
- XiaoQing Lin
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
- College of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, 200003, China
| | - TaoHu Zhou
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
- School of Medical Imaging, Weifang Medical University, Weifang, Shandong, China
| | - Jiong Ni
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jie Li
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
- College of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, 200003, China
| | - Yu Guan
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Xin'ang Jiang
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Xiuxiu Zhou
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Yi Xia
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Fangyi Xu
- Department of Radiology, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Zhejiang, China
| | - Hongjie Hu
- Department of Radiology, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Zhejiang, China
| | - Qian Dong
- Department of Radiology, University of Michigan Taubman Center, Ann Arbor, MI, USA
| | - Shiyuan Liu
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China
| | - Li Fan
- Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, China.
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Tekinhatun M, Akbudak İ, Özbek M, Turmak M. Comparison of coronary CT angiography and invasive coronary angiography results. Ir J Med Sci 2024:10.1007/s11845-024-03745-y. [PMID: 38965116 DOI: 10.1007/s11845-024-03745-y] [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: 05/26/2024] [Accepted: 06/25/2024] [Indexed: 07/06/2024]
Abstract
INTRODUCTION Coronary artery disease (CAD) is a leading cause of death worldwide. Accurate diagnosis and management are critical. Non-invasive imaging, such as coronary computed tomography angiography (CCTA), is vital for early diagnosis and treatment planning. This study evaluates the accuracy of CAD-Reporting and Data System (CAD-RADS) scoring and the compatibility between CCTA and invasive coronary angiography (ICA) in patients suspected of having CAD. MATERIALS AND METHODS From January 1, 2022 to January 15, 2024, 214 patients suspected of CAD underwent both CCTA and ICA. CCTA artifacts led to the exclusion of 32 patients and 128 vessels, leaving 586 vessels for analysis. CAD-RADS scoring categorized coronary stenosis. Diagnostic performance was measured by specificity, sensitivity, accuracy, positive and negative predictive value (NPV). Extracardiac findings were analyzed with a wide field of view (FOV) during CCTA. RESULTS A total of 214 patients (67.3% male, median age 56) were examined. Hypertension, smoking, calcium score, and high-risk plaques correlated with CCTA and ICA CAD-RADS scores; calcium score also related to hypertension, smoking, diabetes, and dyslipidemia (p < 0.05). CCTA showed a sensitivity of 80.8% and NPV of 90.3% for detecting stenosis of 70% or more; for 50% stenosis, sensitivity was 93.5% and NPV 92.1%. Agreement between CCTA and ICA was excellent in bypass patients; stenosis detection in stented patients had 85.7% sensitivity and 96.2% NPV. CONCLUSION This study highlights the importance of CAD-RADS and CCTA in CAD diagnosis and treatment planning. CCTA effectively evaluates stents and grafts, emphasizing the benefits of extracardiac findings and a wide FOV.
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Affiliation(s)
- Muhammed Tekinhatun
- Department of Radiology, Faculty of Medicine, Dicle University, Diyarbakir, Türkiye.
| | - İbrahim Akbudak
- Department of Radiology, Faculty of Medicine, Dicle University, Diyarbakir, Türkiye
| | - Mehmet Özbek
- Department of Cardiology, Faculty of Medicine, Dicle University, Diyarbakir, Türkiye
| | - Mehmet Turmak
- Department of Radiology, Faculty of Medicine, Dicle University, Diyarbakir, Türkiye
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5
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Westwood M, Armstrong N, Krijkamp E, Perry M, Noake C, Tsiachristas A, Corro-Ramos I. A cloud-based medical device for predicting cardiac risk in suspected coronary artery disease: a rapid review and conceptual economic model. Health Technol Assess 2024; 28:1-105. [PMID: 39023142 PMCID: PMC11299050 DOI: 10.3310/wygc4096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2024] Open
Abstract
Background The CaRi-Heart® device estimates risk of 8-year cardiac death, using a prognostic model, which includes perivascular fat attenuation index, atherosclerotic plaque burden and clinical risk factors. Objectives To provide an Early Value Assessment of the potential of CaRi-Heart Risk to be an effective and cost-effective adjunctive investigation for assessment of cardiac risk, in people with stable chest pain/suspected coronary artery disease, undergoing computed tomography coronary angiography. This assessment includes conceptual modelling which explores the structure and evidence about parameters required for model development, but not development of a full executable cost-effectiveness model. Data sources Twenty-four databases, including MEDLINE, MEDLINE In-Process and EMBASE, were searched from inception to October 2022. Methods Review methods followed published guidelines. Study quality was assessed using Prediction model Risk Of Bias ASsessment Tool. Results were summarised by research question: prognostic performance; prevalence of risk categories; clinical effects; costs of CaRi-Heart. Exploratory searches were conducted to inform conceptual cost-effectiveness modelling. Results The only included study indicated that CaRi-Heart Risk may be predictive of 8 years cardiac death. The hazard ratio, per unit increase in CaRi-Heart Risk, adjusted for smoking, hypercholesterolaemia, hypertension, diabetes mellitus, Duke index, presence of high-risk plaque features and epicardial adipose tissue volume, was 1.04 (95% confidence interval 1.03 to 1.06) in the model validation cohort. Based on Prediction model Risk Of Bias ASsessment Tool, this study was rated as having high risk of bias and high concerns regarding its applicability to the decision problem specified for this Early Value Assessment. We did not identify any studies that reported information about the clinical effects or costs of using CaRi-Heart to assess cardiac risk. Exploratory searches, conducted to inform the conceptual cost-effectiveness modelling, indicated that there is a deficiency with respect to evidence about the effects of changing existing treatments or introducing new treatments, based on assessment of cardiac risk (by any method), or on measures of vascular inflammation (e.g. fat attenuation index). A de novo conceptual decision-analytic model that could be used to inform an early assessment of the cost effectiveness of CaRi-Heart is described. A combination of a short-term diagnostic model component and a long-term model component that evaluates the downstream consequences is anticipated to capture the diagnosis and the progression of coronary artery disease. Limitations The rapid review methods and pragmatic additional searches used to inform this Early Value Assessment mean that, although areas of potential uncertainty have been described, we cannot definitively state where there are evidence gaps. Conclusions The evidence about the clinical utility of CaRi-Heart Risk is underdeveloped and has considerable limitations, both in terms of risk of bias and applicability to United Kingdom clinical practice. There is some evidence that CaRi-Heart Risk may be predictive of 8-year risk of cardiac death, for patients undergoing computed tomography coronary angiography for suspected coronary artery disease. However, whether and to what extent CaRi-Heart represents an improvement relative to current standard of care remains uncertain. The evaluation of the CaRi-Heart device is ongoing and currently available data are insufficient to fully inform the cost-effectiveness modelling. Future work A large (n = 15,000) ongoing study, NCT05169333, the Oxford risk factors and non-invasive imaging study, with an estimated completion date of February 2030, may address some of the uncertainties identified in this Early Value Assessment. Study registration This study is registered as PROSPERO CRD42022366496. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR award ref: NIHR135672) and is published in full in Health Technology Assessment; Vol. 28, No. 31. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
| | | | - Eline Krijkamp
- Erasmus School of Health Policy and Management, Department of Health Technology Assessment, Erasmus University, Rotterdam, the Netherlands
| | - Mark Perry
- Kleijnen Systematic Reviews (KSR) Ltd, York, UK
| | - Caro Noake
- Kleijnen Systematic Reviews (KSR) Ltd, York, UK
| | | | - Isaac Corro-Ramos
- Institute for Medical Technology Assessment (iMTA), Erasmus University, Rotterdam, the Netherlands
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Groen RA, van Dijkman PR, Jukema JW, Bax JJ, Lamb HJ, de Graaf MA. Coronary calcifications as assessed on routine non-gated chest CT; a gatekeeper to tailor downstream additional imaging in patients with stable chest pain. IJC HEART & VASCULATURE 2024; 52:101418. [PMID: 38737706 PMCID: PMC11087706 DOI: 10.1016/j.ijcha.2024.101418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/19/2024] [Accepted: 04/29/2024] [Indexed: 05/14/2024]
Abstract
Background and aims Currently applied methods for risk-assessment in coronary artery disease (CAD) often overestimate patients' risk for obstructive CAD. To enhance risk estimation, assessment of coronary artery calcium (CAC) can be applied. In 10 % of patients presenting with stable chest pain a previous non-gated computed tomography (CT) has been performed, suitable for CAC-assessment. This study is the first to investigate the clinical utility of CAC-assessment on non-gated CT for risk-assessment of obstructive CAD in symptomatic patients. Methods For this analysis, all patients referred for coronary computed tomography angiography (CCTA), in whom a previous non-gated chest CT was performed were included. The extent of CAC was assessed on chest CT and ordinally scored. CAD was assessed on CCTA and obstructive CAD defined as stenosis of ≥70 %. Patients were stratified according to CAC-severity and percentages of patients with obstructive CAD were compared between the CAC groups. Results In total, 170 patients of 32-88 years were included and 35 % were male. The percentage of obstructive CAD between the CAC groups differed significantly (p < 0.01). A calcium score of 0 ruled out obstructive CAD irrespective of sex, pre-test probability, type of complaints and number of risk factors with a 100 % certainty. Furthermore, a mild CAC score ruled out obstructive CAD in patients with low - intermediate PTP or non-anginal complaints with 100 % certainty. Conclusion When available, CAC on non-gated chest CT can accurately rule out obstructive CAD and can therefore function as a radiation-free and cost-free gatekeeper for additional imaging in patients presenting with stable chest pain.
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Affiliation(s)
- Roos A. Groen
- Leiden University Medical Center, Department of Cardiology, The Netherlands
| | | | - J. Wouter Jukema
- Leiden University Medical Center, Department of Cardiology, The Netherlands
- Netherlands Heart Institute, Utrecht, Leiden, The Netherlands
| | - Jeroen J. Bax
- Leiden University Medical Center, Department of Cardiology, The Netherlands
| | - Hildo. J. Lamb
- Leiden University Medical Center, Department of Radiology, The Netherlands
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Cronin M, Lowery A, Kerin M, Wijns W, Soliman O. Risk Prediction, Diagnosis and Management of a Breast Cancer Patient with Treatment-Related Cardiovascular Toxicity: An Essential Overview. Cancers (Basel) 2024; 16:1845. [PMID: 38791923 PMCID: PMC11120055 DOI: 10.3390/cancers16101845] [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: 04/12/2024] [Revised: 05/02/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Abstract
Breast cancer is amongst the most common invasive cancers in adults. There are established relationships between anti-cancer treatments for breast cancer and cardiovascular side effects. In recent years, novel anti-cancer treatments have been established, as well as the availability of multi-modal cardiac imaging and the sophistication of treatment for cardiac disease. This review provides an in-depth overview regarding the interface of breast cancer and cancer therapy-related cardiovascular toxicity. Specifically, it reviews the pathophysiology of breast cancer, the method of action in therapy-related cardiovascular toxicity from anti-cancer treatment, the use of echocardiography, cardiac CT, MRI, or nuclear medicine as diagnostics, and the current evidence-based treatments available. It is intended to be an all-encompassing review for clinicians caring for patients in this situation.
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Affiliation(s)
- Michael Cronin
- School of Medicine, University of Galway, H91 V4AY Galway, Ireland
| | - Aoife Lowery
- Precision Cardio-Oncology Research Enterprise (P-CORE), H91 TK33 Galway, Ireland
- CURAM Centre for Medical Devices, H91 TK33 Galway, Ireland
| | - Michael Kerin
- Precision Cardio-Oncology Research Enterprise (P-CORE), H91 TK33 Galway, Ireland
- Discipline of Surgery, Lambe Institute for Translational Research, University of Galway, H91 V4AY Galway, Ireland
| | - William Wijns
- School of Medicine, University of Galway, H91 V4AY Galway, Ireland
- Precision Cardio-Oncology Research Enterprise (P-CORE), H91 TK33 Galway, Ireland
- CURAM Centre for Medical Devices, H91 TK33 Galway, Ireland
| | - Osama Soliman
- School of Medicine, University of Galway, H91 V4AY Galway, Ireland
- Precision Cardio-Oncology Research Enterprise (P-CORE), H91 TK33 Galway, Ireland
- CURAM Centre for Medical Devices, H91 TK33 Galway, Ireland
- Discipline of Surgery, Lambe Institute for Translational Research, University of Galway, H91 V4AY Galway, Ireland
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Lorenzatti D, Piña P, Huang D, Apple SJ, Fernandez-Hazim C, Ippolito P, Abdullah A, Rodriguez-Guerra M, Skendelas JP, Scotti A, Kuno T, Latib A, Schenone AL, Nasir K, Blankstein R, Blaha MJ, Berman DS, Dey D, Virani SS, Garcia MJ, Slipczuk L. Interaction Between Risk Factors, Coronary Calcium, and CCTA Plaque Characteristics in Patients Age 18-45. Eur Heart J Cardiovasc Imaging 2024:jeae094. [PMID: 38578944 DOI: 10.1093/ehjci/jeae094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 03/15/2024] [Accepted: 03/25/2024] [Indexed: 04/07/2024] Open
Abstract
AIMS The atherosclerotic profile and advanced plaque subtype burden in symptomatic patients ≤45 years old have not been established. This study aimed to assess the prevalence and predictors of coronary artery calcium (CAC), plaque subtypes, and plaque burden by coronary computed tomography angiography (CCTA) in symptomatic young patients. METHODS AND RESULTS We included 907 symptomatic young patients (18-45 years) from Montefiore undergoing CCTA for chest pain evaluation. Prevalence and predictors of CAC, plaque subtypes, and burden were evaluated using semi-automated software. In the overall population (55% female and 44% Hispanic), 89% had CAC = 0. The likelihood of CAC or any plaque by CCTA increased with >3 risk factors (RF, OR 7.13 [2.14-23.7] and OR 10.26 [3.36-31.2], respectively). Any plaque by CCTA was present in 137 (15%); the strongest independent predictors were age ≥35 years (OR 3.62 [2.05-6.41]) and family history of premature CAD (FHx) (OR 2.76 [1.67-4.58]). Stenosis ≥50% was rare (1.8%), with 31% of those having CAC = 0. Significant non-calcified (NCP, 37.2%) and low-attenuation (LAP, 4.24%) plaque burdens were seen, even in those with non-obstructive stenosis. Among patients with CAC = 0, 5% had plaque, and the only predictor of exclusively non-calcified plaque was FHx (OR 2.29 [1.08-4.86]). CONCLUSIONS In symptomatic young patients undergoing CCTA, the prevalence of CAC or any coronary atherosclerosis was not negligible, and the likelihood increased with RF burden. The presence of coronary stenosis ≥50% was rare and most often accompanied by CAC > 0 but there was a significant burden of NCP and LAP even within the non-obstructive group.
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Affiliation(s)
- Daniel Lorenzatti
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Pamela Piña
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
- Department of Cardiology, CEDIMAT. Santo Domingo, Dominican Republic
| | - Dou Huang
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Samuel J Apple
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Carol Fernandez-Hazim
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Paul Ippolito
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Aftab Abdullah
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Miguel Rodriguez-Guerra
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - John P Skendelas
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Andrea Scotti
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Toshiki Kuno
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Azeem Latib
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Aldo L Schenone
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness. Houston Methodist DeBakey Heart & Vascular Center. Houston Methodist. Houston, TX, USA
| | - Ron Blankstein
- Departments of Medicine (Cardiovascular Division) and Radiology, Brigham and Women's Hospital. Boston, MA, USA
| | - Michael J Blaha
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins School of Medicine. Baltimore, MD, USA
| | - Daniel S Berman
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center. Los Angeles, CA, USA
| | - Damini Dey
- Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center. Los Angeles, CA, USA
| | - Salim S Virani
- Office of the Vice Provost (Research), The Aga Khan University. Karachi, Pakistan. Division of Cardiology, The Texas Heart Institute/Baylor College of Medicine. Houston, TX, USA
| | - Mario J Garcia
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
| | - Leandro Slipczuk
- Cardiology Division, Montefiore Medical Center/Albert Einstein College of Medicine. Bronx, NY, USA
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Sawamura S, Kato S, Funama Y, Oda S, Mochizuki H, Inagaki S, Takeuchi Y, Morioka T, Izumi T, Ota Y, Kawagoe H, Cheng S, Nakayama N, Fukui K, Tsutsumi T, Iwasawa T, Utsunomiya D. Evaluation of four computed tomography reconstruction algorithms using a coronary artery phantom. Quant Imaging Med Surg 2024; 14:2870-2883. [PMID: 38617144 PMCID: PMC11007503 DOI: 10.21037/qims-23-1204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 02/08/2024] [Indexed: 04/16/2024]
Abstract
Background Despite advancements in coronary computed tomography angiography (CTA), challenges in positive predictive value and specificity remain due to limited spatial resolution. The purpose of this experimental study was to investigate the effect of 2nd generation deep learning-based reconstruction (DLR) on the quantitative and qualitative image quality in coronary CTA. Methods A vessel model with stepwise non-calcified plaque was scanned using 320-detector CT. Image reconstruction was performed using four techniques: hybrid iterative reconstruction (HIR), model-based iterative reconstruction (MBIR), DLR, and 2nd generation DLR. The luminal peak CT number, contrast-to-noise ratio (CNR), and edge rise slope (ERS) were quantitatively evaluated via profile curve analysis. Two observers qualitatively graded the graininess, lumen sharpness, and overall lumen visibility on the basis of the degree of confidence for the stenosis severity using a five-point scale. Results The image noise with HIR, MBIR, DLR, and 2nd generation DLR was 23.0, 21.0, 16.9, and 9.5 HU, respectively. The corresponding CNR (25% stenosis) was 15.5, 15.9, 22.1, and 38.3, respectively. The corresponding ERS (25% stenosis) was 203.2, 198.6, 228.9, and 262.4 HU/mm, respectively. Among the four reconstruction methods, the 2nd generation DLR achieved the significantly highest CNR and ERS values. The score of 2nd generation DLR in all evaluation points (graininess, sharpness, and overall lumen visibility) was higher than those of the other methods (overall vessel visibility score, 2.6±0.5, 3.8±0.6, 3.7±0.5, and 4.6±0.5 with HIR, MBIR, DLR, and 2nd generation DLR, respectively). Conclusions 2nd generation DLR provided better CNR and ERS in coronary CTA than HIR, MBIR, and previous-generation DLR, leading to the highest subjective image quality in the assessment of vessel stenosis.
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Affiliation(s)
- Shungo Sawamura
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Shingo Kato
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Yoshinori Funama
- Department of Medical Radiation Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Seitaro Oda
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Harumi Mochizuki
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Sayuri Inagaki
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Yuka Takeuchi
- Department of Radiology, Yokohama Minami Kyosai Hospital, Kanagawa, Japan
| | - Tsubasa Morioka
- Central Radiology, Yokohama City University Hospital, Yokohama, Japan
| | - Toshiharu Izumi
- Central Radiology, Yokohama City University Hospital, Yokohama, Japan
| | - Yoichiro Ota
- Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Kanagawa, Japan
| | - Hironori Kawagoe
- Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Kanagawa, Japan
| | - Shihyao Cheng
- Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Kanagawa, Japan
| | - Naoki Nakayama
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Kanagawa, Japan
| | - Kazuki Fukui
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Kanagawa, Japan
| | - Takashi Tsutsumi
- Research and Development Center, Canon Medical Systems Corporation, Tochigi, Japan
| | - Tae Iwasawa
- Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Kanagawa, Japan
| | - Daisuke Utsunomiya
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
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10
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Aquino GJ, Mastrodicasa D, Alabed S, Abohashem S, Wen L, Gill RR, Bardo DME, Abbara S, Hanneman K. Radiology: Cardiothoracic Imaging Highlights 2023. Radiol Cardiothorac Imaging 2024; 6:e240020. [PMID: 38602468 PMCID: PMC11056755 DOI: 10.1148/ryct.240020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/15/2024] [Accepted: 02/28/2024] [Indexed: 04/12/2024]
Abstract
Radiology: Cardiothoracic Imaging publishes novel research and technical developments in cardiac, thoracic, and vascular imaging. The journal published many innovative studies during 2023 and achieved an impact factor for the first time since its inaugural issue in 2019, with an impact factor of 7.0. The current review article, led by the Radiology: Cardiothoracic Imaging trainee editorial board, highlights the most impactful articles published in the journal between November 2022 and October 2023. The review encompasses various aspects of coronary CT, photon-counting detector CT, PET/MRI, cardiac MRI, congenital heart disease, vascular imaging, thoracic imaging, artificial intelligence, and health services research. Key highlights include the potential for photon-counting detector CT to reduce contrast media volumes, utility of combined PET/MRI in the evaluation of cardiac sarcoidosis, the prognostic value of left atrial late gadolinium enhancement at MRI in predicting incident atrial fibrillation, the utility of an artificial intelligence tool to optimize detection of incidental pulmonary embolism, and standardization of medical terminology for cardiac CT. Ongoing research and future directions include evaluation of novel PET tracers for assessment of myocardial fibrosis, deployment of AI tools in clinical cardiovascular imaging workflows, and growing awareness of the need to improve environmental sustainability in imaging. Keywords: Coronary CT, Photon-counting Detector CT, PET/MRI, Cardiac MRI, Congenital Heart Disease, Vascular Imaging, Thoracic Imaging, Artificial Intelligence, Health Services Research © RSNA, 2024.
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Affiliation(s)
| | | | - Samer Alabed
- From the Department of Radiology, SUNY Upstate Medical University,
750 E Adams St, Syracuse, NY, 13210 (G.J.A); Department of Radiology, University
of Washington School of Medicine, UW Medical Center Montlake, Seattle, Wash
(D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC),
University of Washington School of Medicine, Seattle, Wash (D.M.); Division of
Clinical Medicine, School of Medicine and Population Health, University of
Sheffield, Sheffield, United Kingdom (S. Alabed); National Institute for Health
and Care Research, Sheffield Biomedical Research Centre, Sheffield, United
Kingdom (S. Alabed); Department of Radiology, Cardiovascular Imaging Research
Center, Massachusetts General Hospital and Harvard Medical School, Boston, Mass
(S. Abohashem); Department of Radiology, Key Laboratory of Birth Defects and
Related Diseases of Women and Children, Ministry of Education, West China Second
University Hospital, Sichuan University, Sichuan, China (L.W.); Department of
Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston,
Mass (R.R.G.); Department of Medical Imaging, Ann & Robert H. Lurie
Children’s Hospital of Chicago, Chicago, Ill (D.M.E.B.); Department of
Radiology, UT Southwestern Medical Center, Dallas, Tex (S. Abbara); Department
of Medical Imaging, University Medical Imaging Toronto, University of Toronto,
Toronto, Ontario, Canada (K.H.); and Peter Munk Cardiac Centre, Toronto General
Hospital, University of Toronto, Toronto, Ontario, Canada (K.H.)
| | - Shady Abohashem
- From the Department of Radiology, SUNY Upstate Medical University,
750 E Adams St, Syracuse, NY, 13210 (G.J.A); Department of Radiology, University
of Washington School of Medicine, UW Medical Center Montlake, Seattle, Wash
(D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC),
University of Washington School of Medicine, Seattle, Wash (D.M.); Division of
Clinical Medicine, School of Medicine and Population Health, University of
Sheffield, Sheffield, United Kingdom (S. Alabed); National Institute for Health
and Care Research, Sheffield Biomedical Research Centre, Sheffield, United
Kingdom (S. Alabed); Department of Radiology, Cardiovascular Imaging Research
Center, Massachusetts General Hospital and Harvard Medical School, Boston, Mass
(S. Abohashem); Department of Radiology, Key Laboratory of Birth Defects and
Related Diseases of Women and Children, Ministry of Education, West China Second
University Hospital, Sichuan University, Sichuan, China (L.W.); Department of
Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston,
Mass (R.R.G.); Department of Medical Imaging, Ann & Robert H. Lurie
Children’s Hospital of Chicago, Chicago, Ill (D.M.E.B.); Department of
Radiology, UT Southwestern Medical Center, Dallas, Tex (S. Abbara); Department
of Medical Imaging, University Medical Imaging Toronto, University of Toronto,
Toronto, Ontario, Canada (K.H.); and Peter Munk Cardiac Centre, Toronto General
Hospital, University of Toronto, Toronto, Ontario, Canada (K.H.)
| | - Lingyi Wen
- From the Department of Radiology, SUNY Upstate Medical University,
750 E Adams St, Syracuse, NY, 13210 (G.J.A); Department of Radiology, University
of Washington School of Medicine, UW Medical Center Montlake, Seattle, Wash
(D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC),
University of Washington School of Medicine, Seattle, Wash (D.M.); Division of
Clinical Medicine, School of Medicine and Population Health, University of
Sheffield, Sheffield, United Kingdom (S. Alabed); National Institute for Health
and Care Research, Sheffield Biomedical Research Centre, Sheffield, United
Kingdom (S. Alabed); Department of Radiology, Cardiovascular Imaging Research
Center, Massachusetts General Hospital and Harvard Medical School, Boston, Mass
(S. Abohashem); Department of Radiology, Key Laboratory of Birth Defects and
Related Diseases of Women and Children, Ministry of Education, West China Second
University Hospital, Sichuan University, Sichuan, China (L.W.); Department of
Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston,
Mass (R.R.G.); Department of Medical Imaging, Ann & Robert H. Lurie
Children’s Hospital of Chicago, Chicago, Ill (D.M.E.B.); Department of
Radiology, UT Southwestern Medical Center, Dallas, Tex (S. Abbara); Department
of Medical Imaging, University Medical Imaging Toronto, University of Toronto,
Toronto, Ontario, Canada (K.H.); and Peter Munk Cardiac Centre, Toronto General
Hospital, University of Toronto, Toronto, Ontario, Canada (K.H.)
| | - Ritu R. Gill
- From the Department of Radiology, SUNY Upstate Medical University,
750 E Adams St, Syracuse, NY, 13210 (G.J.A); Department of Radiology, University
of Washington School of Medicine, UW Medical Center Montlake, Seattle, Wash
(D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC),
University of Washington School of Medicine, Seattle, Wash (D.M.); Division of
Clinical Medicine, School of Medicine and Population Health, University of
Sheffield, Sheffield, United Kingdom (S. Alabed); National Institute for Health
and Care Research, Sheffield Biomedical Research Centre, Sheffield, United
Kingdom (S. Alabed); Department of Radiology, Cardiovascular Imaging Research
Center, Massachusetts General Hospital and Harvard Medical School, Boston, Mass
(S. Abohashem); Department of Radiology, Key Laboratory of Birth Defects and
Related Diseases of Women and Children, Ministry of Education, West China Second
University Hospital, Sichuan University, Sichuan, China (L.W.); Department of
Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston,
Mass (R.R.G.); Department of Medical Imaging, Ann & Robert H. Lurie
Children’s Hospital of Chicago, Chicago, Ill (D.M.E.B.); Department of
Radiology, UT Southwestern Medical Center, Dallas, Tex (S. Abbara); Department
of Medical Imaging, University Medical Imaging Toronto, University of Toronto,
Toronto, Ontario, Canada (K.H.); and Peter Munk Cardiac Centre, Toronto General
Hospital, University of Toronto, Toronto, Ontario, Canada (K.H.)
| | - Dianna M. E. Bardo
- From the Department of Radiology, SUNY Upstate Medical University,
750 E Adams St, Syracuse, NY, 13210 (G.J.A); Department of Radiology, University
of Washington School of Medicine, UW Medical Center Montlake, Seattle, Wash
(D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC),
University of Washington School of Medicine, Seattle, Wash (D.M.); Division of
Clinical Medicine, School of Medicine and Population Health, University of
Sheffield, Sheffield, United Kingdom (S. Alabed); National Institute for Health
and Care Research, Sheffield Biomedical Research Centre, Sheffield, United
Kingdom (S. Alabed); Department of Radiology, Cardiovascular Imaging Research
Center, Massachusetts General Hospital and Harvard Medical School, Boston, Mass
(S. Abohashem); Department of Radiology, Key Laboratory of Birth Defects and
Related Diseases of Women and Children, Ministry of Education, West China Second
University Hospital, Sichuan University, Sichuan, China (L.W.); Department of
Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston,
Mass (R.R.G.); Department of Medical Imaging, Ann & Robert H. Lurie
Children’s Hospital of Chicago, Chicago, Ill (D.M.E.B.); Department of
Radiology, UT Southwestern Medical Center, Dallas, Tex (S. Abbara); Department
of Medical Imaging, University Medical Imaging Toronto, University of Toronto,
Toronto, Ontario, Canada (K.H.); and Peter Munk Cardiac Centre, Toronto General
Hospital, University of Toronto, Toronto, Ontario, Canada (K.H.)
| | - Suhny Abbara
- From the Department of Radiology, SUNY Upstate Medical University,
750 E Adams St, Syracuse, NY, 13210 (G.J.A); Department of Radiology, University
of Washington School of Medicine, UW Medical Center Montlake, Seattle, Wash
(D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC),
University of Washington School of Medicine, Seattle, Wash (D.M.); Division of
Clinical Medicine, School of Medicine and Population Health, University of
Sheffield, Sheffield, United Kingdom (S. Alabed); National Institute for Health
and Care Research, Sheffield Biomedical Research Centre, Sheffield, United
Kingdom (S. Alabed); Department of Radiology, Cardiovascular Imaging Research
Center, Massachusetts General Hospital and Harvard Medical School, Boston, Mass
(S. Abohashem); Department of Radiology, Key Laboratory of Birth Defects and
Related Diseases of Women and Children, Ministry of Education, West China Second
University Hospital, Sichuan University, Sichuan, China (L.W.); Department of
Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston,
Mass (R.R.G.); Department of Medical Imaging, Ann & Robert H. Lurie
Children’s Hospital of Chicago, Chicago, Ill (D.M.E.B.); Department of
Radiology, UT Southwestern Medical Center, Dallas, Tex (S. Abbara); Department
of Medical Imaging, University Medical Imaging Toronto, University of Toronto,
Toronto, Ontario, Canada (K.H.); and Peter Munk Cardiac Centre, Toronto General
Hospital, University of Toronto, Toronto, Ontario, Canada (K.H.)
| | - Kate Hanneman
- From the Department of Radiology, SUNY Upstate Medical University,
750 E Adams St, Syracuse, NY, 13210 (G.J.A); Department of Radiology, University
of Washington School of Medicine, UW Medical Center Montlake, Seattle, Wash
(D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC),
University of Washington School of Medicine, Seattle, Wash (D.M.); Division of
Clinical Medicine, School of Medicine and Population Health, University of
Sheffield, Sheffield, United Kingdom (S. Alabed); National Institute for Health
and Care Research, Sheffield Biomedical Research Centre, Sheffield, United
Kingdom (S. Alabed); Department of Radiology, Cardiovascular Imaging Research
Center, Massachusetts General Hospital and Harvard Medical School, Boston, Mass
(S. Abohashem); Department of Radiology, Key Laboratory of Birth Defects and
Related Diseases of Women and Children, Ministry of Education, West China Second
University Hospital, Sichuan University, Sichuan, China (L.W.); Department of
Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston,
Mass (R.R.G.); Department of Medical Imaging, Ann & Robert H. Lurie
Children’s Hospital of Chicago, Chicago, Ill (D.M.E.B.); Department of
Radiology, UT Southwestern Medical Center, Dallas, Tex (S. Abbara); Department
of Medical Imaging, University Medical Imaging Toronto, University of Toronto,
Toronto, Ontario, Canada (K.H.); and Peter Munk Cardiac Centre, Toronto General
Hospital, University of Toronto, Toronto, Ontario, Canada (K.H.)
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11
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Takahashi M, Takaoka H, Yashima S, Suzuki-Eguchi N, Ota J, Kitahara H, Matsuura K, Matsumiya G, Kobayashi Y. Extracellular Volume Fraction by Computed Tomography Predicts Prognosis After Transcatheter Aortic Valve Replacement. Circ J 2024; 88:492-500. [PMID: 37558458 DOI: 10.1253/circj.cj-23-0288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/11/2023]
Abstract
BACKGROUND Extracellular volume fraction (ECV) on magnetic resonance imaging can predict prognosis after aortic valve replacement in patients with aortic stenosis (AS). However, the usefulness of ECV on computed tomography (CT) for patients who have undergone transcatheter aortic valve replacement (TAVR) is unclear, so we investigated whether ECV analysis on CT is associated with clinical outcomes in TAVR candidates. METHODS AND RESULTS We analyzed 127 patients with severe AS who underwent preoperative CT for TAVR. We evaluated the utility of ECV analysis on single-energy CT for predicting patient prognosis after TAVR. The primary outcome was a composite of all-cause death and hospitalization due to heart failure (HF) after TAVR. 15 patients (12%) had composite outcomes: 4 deaths and 11 hospitalizations due to HF. In multivariate survival analysis using the Cox proportional hazard model, atrial fibrillation (AF) (hazard ratio (HR), 7.86; 95% confidence interval (CI), 2.57-24.03; P<0.001), history of congestive HF (HR, 4.91; 95% CI, 1.49-16.2; P=0.009) and ECV ≥32.6% on CT (HR, 6.96; 95% CI, 1.92-25.12; P=0.003) were independent predictors of composite outcomes. On Kaplan-Meier analysis, the higher ECV group (≥32.6%) had a significantly greater number of composite outcomes than the lower ECV group (P<0.001). CONCLUSIONS ECV on CT is an independent predictor of prognosis after TAVR.
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Affiliation(s)
- Manami Takahashi
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine
| | - Hiroyuki Takaoka
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine
| | - Satomi Yashima
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine
| | - Noriko Suzuki-Eguchi
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine
| | - Joji Ota
- Department of Radiology, Chiba University Hospital
| | - Hideki Kitahara
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine
| | - Kaoru Matsuura
- Department of Cardiovascular Surgery, Chiba University Graduate School of Medicine
| | - Goro Matsumiya
- Department of Cardiovascular Surgery, Chiba University Graduate School of Medicine
| | - Yoshio Kobayashi
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine
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12
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Saba L, Scicolone R, Johansson E, Nardi V, Lanzino G, Kakkos SK, Pontone G, Annoni AD, Paraskevas KI, Fox AJ. Quantifying Carotid Stenosis: History, Current Applications, Limitations, and Potential: How Imaging Is Changing the Scenario. Life (Basel) 2024; 14:73. [PMID: 38255688 PMCID: PMC10821425 DOI: 10.3390/life14010073] [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: 12/05/2023] [Revised: 12/24/2023] [Accepted: 12/29/2023] [Indexed: 01/24/2024] Open
Abstract
Carotid artery stenosis is a major cause of morbidity and mortality. The journey to understanding carotid disease has developed over time and radiology has a pivotal role in diagnosis, risk stratification and therapeutic management. This paper reviews the history of diagnostic imaging in carotid disease, its evolution towards its current applications in the clinical and research fields, and the potential of new technologies to aid clinicians in identifying the disease and tailoring medical and surgical treatment.
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Affiliation(s)
- Luca Saba
- Department of Radiology, University of Cagliari, 09042 Cagliari, Italy;
| | - Roberta Scicolone
- Department of Radiology, University of Cagliari, 09042 Cagliari, Italy;
| | - Elias Johansson
- Neuroscience and Physiology, Sahlgrenska Academy, 41390 Gothenburg, Sweden;
| | - Valentina Nardi
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA;
| | - Giuseppe Lanzino
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN 55905, USA;
| | - Stavros K. Kakkos
- Department of Vascular Surgery, University of Patras, 26504 Patras, Greece;
| | - Gianluca Pontone
- Centro Cardiologico Monzino IRCCS, Via C. Parea 4, 20138 Milan, Italy; (G.P.); (A.D.A.)
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy
| | - Andrea D. Annoni
- Centro Cardiologico Monzino IRCCS, Via C. Parea 4, 20138 Milan, Italy; (G.P.); (A.D.A.)
| | | | - Allan J. Fox
- Department of Medical Imaging, Neuroradiology Section, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON M4N 3M5, Canada;
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13
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Murphy DJ, Donnelly R. The Ground Truth Is Out There: Improved Coronary Artery Luminal Stenosis Evaluation with Photon-counting Detector CT. Radiology 2023; 309:e233066. [PMID: 38051189 DOI: 10.1148/radiol.233066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Affiliation(s)
- David J Murphy
- From the Department of Radiology, St Vincent's University Hospital, Dublin, Ireland; and University College Dublin School of Medicine, Dublin, Ireland
| | - Ryan Donnelly
- From the Department of Radiology, St Vincent's University Hospital, Dublin, Ireland; and University College Dublin School of Medicine, Dublin, Ireland
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14
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Mattesi G, Savo MT, De Amicis M, Amato F, Cozza E, Corradin S, Da Pozzo S, Previtero M, Bariani R, De Conti G, Rigato I, Pergola V, Motta R. Coronary artery calcium score: we know where we are but not where we may be. Monaldi Arch Chest Dis 2023; 94. [PMID: 37675928 DOI: 10.4081/monaldi.2023.2720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 08/16/2023] [Indexed: 09/08/2023] Open
Abstract
Cardiac computed tomography angiography (CCTA) has emerged as a cost-effective and time-saving technique for excluding coronary artery disease. One valuable tool obtained by CCTA is the coronary artery calcium (CAC) score. The use of CAC scoring has shown promise in the risk assessment and stratification of cardiovascular disease. CAC scores can be complemented by plaque analysis to assess vulnerable plaque characteristics and further refine risk assessment. This paper aims to provide a comprehensive understanding of the value of the CAC as a prognostic tool and its implications for patient risk assessment, treatment strategies, and outcomes. CAC scoring has demonstrated superior ability in stratifying patients, especially asymptomatic individuals, compared to traditional risk factors and scoring systems. The main evidence suggests that individuals with a CAC score of 0 have a good long-term prognosis, while an elevated CAC score is associated with increased cardiovascular risk. Finally, the clinical power of CAC scoring and the development of new models for risk stratification could be enhanced by machine learning algorithms.
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Affiliation(s)
- Giulia Mattesi
- Department of Cardiac Vascular Thoracic Sciences and Public Health, University of Padua.
| | - Maria Teresa Savo
- Department of Cardiac Vascular Thoracic Sciences and Public Health, University of Padua.
| | | | - Filippo Amato
- Department of Cardiac Vascular Thoracic Sciences and Public Health, University of Padua.
| | - Elena Cozza
- Department of Cardiac Vascular Thoracic Sciences and Public Health, University of Padua.
| | | | | | - Marco Previtero
- Department of Cardiac Vascular Thoracic Sciences and Public Health, University of Padua.
| | - Riccardo Bariani
- Department of Cardiac Vascular Thoracic Sciences and Public Health, University of Padua.
| | | | - Ilaria Rigato
- Department of Cardiac Vascular Thoracic Sciences and Public Health, University of Padua.
| | - Valeria Pergola
- Department of Cardiac Vascular Thoracic Sciences and Public Health, University of Padua.
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15
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Tavakoli S, Duman E. Uncovering the Potential of Lipid Core Quantification for Predicting Major Adverse Cardiovascular Events. Radiology 2023; 308:e231546. [PMID: 37606575 PMCID: PMC10477503 DOI: 10.1148/radiol.231546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 08/23/2023]
Affiliation(s)
- Sina Tavakoli
- From the Department of Radiology (S.T., E.D.), Department of Medicine (S.T.), and Heart, Lung, Blood, and Vascular Medicine Institute (S.T.), University of Pittsburgh Medical Center, UPMC Presbyterian Hospital, 200 Lothrop St, Suite E200, Pittsburgh, PA 15213
| | - Emrah Duman
- From the Department of Radiology (S.T., E.D.), Department of Medicine (S.T.), and Heart, Lung, Blood, and Vascular Medicine Institute (S.T.), University of Pittsburgh Medical Center, UPMC Presbyterian Hospital, 200 Lothrop St, Suite E200, Pittsburgh, PA 15213
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16
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Roberts J, Hanneman K. Standardized Medical Terminology for Cardiac CT: What's in a Name? Radiol Cardiothorac Imaging 2023; 5:e230213. [PMID: 37693204 PMCID: PMC10483246 DOI: 10.1148/ryct.230213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 07/27/2023] [Accepted: 07/27/2023] [Indexed: 09/12/2023]
Affiliation(s)
- James Roberts
- From the Department of Medical Imaging, Peter Munk Cardiac Center,
Toronto General Hospital, University of Toronto, 585 University Ave, Toronto,
ON, Canada M5G 2N2 (J.R., K.H.); Department of Medicine and Radiology,
University of British Columbia, Vancouver, British Columbia, Canada (J.R.); and
Toronto General Hospital Research Institute, Toronto, Ontario, Canada
(K.H.)
| | - Kate Hanneman
- From the Department of Medical Imaging, Peter Munk Cardiac Center,
Toronto General Hospital, University of Toronto, 585 University Ave, Toronto,
ON, Canada M5G 2N2 (J.R., K.H.); Department of Medicine and Radiology,
University of British Columbia, Vancouver, British Columbia, Canada (J.R.); and
Toronto General Hospital Research Institute, Toronto, Ontario, Canada
(K.H.)
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17
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Mastrodicasa D, Aquino GJ, Ordovas KG, Vargas D, Fleischmann D, Abbara S, Hanneman K. Radiology: Cardiothoracic Imaging Highlights 2022. Radiol Cardiothorac Imaging 2023; 5:e230042. [PMID: 37404783 PMCID: PMC10316293 DOI: 10.1148/ryct.230042] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 04/07/2023] [Accepted: 05/08/2023] [Indexed: 07/06/2023]
Abstract
Since its inaugural issue in 2019, Radiology: Cardiothoracic Imaging has disseminated the latest scientific advances and technical developments in cardiac, vascular, and thoracic imaging. In this review, we highlight select articles published in this journal between October 2021 and October 2022. The scope of the review encompasses various aspects of coronary artery and congenital heart diseases, vascular diseases, thoracic imaging, and health services research. Key highlights include changes in the revised Coronary Artery Disease Reporting and Data System 2.0, the value of coronary CT angiography in informing prognosis and guiding treatment decisions, cardiac MRI findings after COVID-19 vaccination or infection, high-risk features at CT angiography to identify patients with aortic dissection at risk for late adverse events, and CT-guided fiducial marker placement for preoperative planning for pulmonary nodules. Ongoing research and future directions include photon-counting CT and artificial intelligence applications in cardiovascular imaging. Keywords: Pediatrics, CT Angiography, CT-Perfusion, CT-Spectral Imaging, MR Angiography, PET/CT, Transcatheter Aortic Valve Implantation/Replacement (TAVI/TAVR), Cardiac, Pulmonary, Vascular, Aorta, Coronary Arteries © RSNA, 2023.
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18
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The updated CADS-RADS 2.0: Changes, challenges and considerations for implementation-commentary by North American Society of Cardiovascular Imaging (NASCI). THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:465-467. [PMID: 36652039 DOI: 10.1007/s10554-023-02795-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 01/05/2023] [Indexed: 01/19/2023]
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19
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Canan A, Barbosa MF, Nomura CH, Abbara S, Kay FU. Cardiac CT Perfusion Imaging. CURRENT RADIOLOGY REPORTS 2022. [DOI: 10.1007/s40134-022-00406-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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20
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Aikimbaev K, Piskin F. What is new in the updated 2022 Coronary Artery Disease-Reporting and Data System (CAD-RADS™ 2.0) consensus document? HEART, VESSELS AND TRANSPLANTATION 2022. [DOI: 10.24969/hvt.2022.351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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