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Aydeniz E, van Rosmalen F, de Kok J, Martens B, Mingels AMA, Canakci ME, Mihl C, Vernooy K, Prinzen FW, Wildberger JE, van der Horst ICC, van Bussel BCT, Driessen RGH. The association between coronary artery calcification and vectorcardiography in mechanically ventilated COVID-19 patients: the Maastricht Intensive Care COVID cohort. Intensive Care Med Exp 2024; 12:26. [PMID: 38451350 PMCID: PMC10920503 DOI: 10.1186/s40635-024-00611-0] [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: 12/19/2023] [Accepted: 02/29/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Coronary artery calcification (CAC) is associated with poor outcome in critically ill patients. A deterioration in cardiac conduction and loss of myocardial tissue could be an underlying cause. Vectorcardiography (VCG) and cardiac biomarkers provide insight into these underlying causes. The aim of this study was to investigate whether a high degree of CAC is associated with VCG-derived variables and biomarkers, including high-sensitivity troponin-T (hs-cTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP). METHODS Mechanically ventilated coronavirus-19 (COVID-19) patients with an available chest computed tomography (CT) and 12-lead electrocardiogram (ECG) were studied. CAC scores were determined using chest CT scans. Patients were categorized into 3 sex-specific tertiles: low, intermediate, and high CAC. Daily 12 leads-ECGs were converted to VCGs. Daily hs-cTnT and NT-proBNP levels were determined. Linear mixed-effects regression models examined the associations between CAC tertiles and VCG variables, and between CAC tertiles and hs-cTnT or NT-proBNP levels. RESULTS In this study, 205 patients (73.2% men, median age 65 years [IQR 57.0; 71.0]) were included. Compared to the lowest CAC tertile, the highest CAC tertile had a larger QRS area at baseline (6.65 µVs larger [1.50; 11.81], p = 0.012), which decreased during admission (- 0.27 µVs per day [- 0.43; - 0.11], p = 0.001). Patients with the highest CAC tertile also had a longer QRS duration (12.02 ms longer [4.74; 19.30], p = 0.001), higher levels of log hs-cTnT (0.79 ng/L higher [0.40; 1.19], p < 0.001) and log NT-proBNP (0.83 pmol/L higher [0.30; 1.37], p = 0.002). CONCLUSION Patients with a high degree of CAC had the largest QRS area and higher QRS amplitude, which decreased more over time when compared to patients with a low degree of CAC. These results suggest that CAC might contribute to loss of myocardial tissue during critical illness. These insights could improve risk stratification and prognostication of patients with critical illness.
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Affiliation(s)
- Eda Aydeniz
- Department of Intensive Care Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands.
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
| | - Frank van Rosmalen
- Department of Intensive Care Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Jip de Kok
- Department of Intensive Care Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Bibi Martens
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Alma M A Mingels
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Central Diagnostic Laboratory, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Mustafa Emin Canakci
- Department of Intensive Care Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands
- Emergency Department, Eskisehir Osmangazi University School of Medicine, Eskisehir, Turkey
| | - Casper Mihl
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Kevin Vernooy
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Cardiology, Maastricht University Medical Center +, Maastricht, The Netherlands
| | - Frits W Prinzen
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Physiology, Maastricht University, Maastricht, The Netherlands
| | - Joachim E Wildberger
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Iwan C C van der Horst
- Department of Intensive Care Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Bas C T van Bussel
- Department of Intensive Care Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Rob G H Driessen
- Department of Intensive Care Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Department of Cardiology, Maastricht University Medical Center +, Maastricht, The Netherlands
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Meyersohn NM, Oliveira I, Mercaldo S, Kordbacheh H, Choy G, Harisinghani M, Hedgire SS. Cardiac Incidental Findings on Abdominopelvic Computed Tomography: Prevalence and Association with Subsequent Cardiovascular Events. Acad Radiol 2023; 30:2514-2520. [PMID: 36872179 DOI: 10.1016/j.acra.2023.01.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/20/2023] [Accepted: 01/21/2023] [Indexed: 03/06/2023]
Abstract
PURPOSE The aim of this study was to assess the prevalence of reportable cardiac findings detected on abdominopelvic CTs and the association with subsequent cardiovascular events. MATERIALS AND METHODS We performed a retrospective search of electronic medical record of patients who underwent abdominopelvic CT between November 2006 and November 2011 with a clinical history of upper abdominal pain. A radiologist blinded to the original CT report reviewed all 222 cases for the presence of pertinent reportable cardiac findings. The original CT report was also evaluated for documentation of pertinent reportable cardiac findings. The following findings were recorded on all CTs: presence of coronary calcification, fatty metaplasia, ventricle wall thinning and thickening, valve calcification or prosthesis, heart/chamber enlargement, aneurysm, mass, thrombus, device, air within ventricles, abnormal pericardium, prior sternotomy, and adhesions if prior sternotomy. Medical records were reviewed to identify cardiovascular events on follow-up in patients with the presence or absence of cardiac findings. We compared the distribution findings in patients with and without cardiac events using the Wilcoxon test (for continuous variables) and the Pearson's chi-squared test (for categorical variables). RESULTS Eighty-five of 222 (38.3%) patients (52.7% females, median age 52.5 years) had at least one pertinent reportable cardiac finding on the abdominopelvic CT, with a total of 140 findings in this group. From the total 140 findings, 100 (71.4%) were not reported. The most common findings seen on abdominal CTs were: coronary artery calcification (66 patients), heart or chamber enlargement (25), valve abnormality (19), sternotomy and surgery signs (9), LV wall thickening (7), device (5), LV wall thinning (2), pericardial effusion (5), and others (3). After a mean follow-up of 43.9 months, 19 cardiovascular events were found in the cohort (transient ischemic attack, cerebrovascular accident, myocardial infarction, cardiac arrest, acute arrhythmia, palpitation, syncope and acute chest pain). Only 1 event occurred in the group of patients with no incidental pertinent reportable cardiac findings (1/137 = 0.73%). All other 18 events occurred in patients with incidental pertinent reportable cardiac findings (18/85 = 21.2%), which was significantly different (p < 0.0001). One out of the total 19 events in the overall group (5.24%) occurred in a patient with no incidental pertinent reportable cardiac findings while 18 of 19 total events (94.74%) occurred with patients with incidental pertinent reportable cardiac findings, which was also significantly different (p < 0.001). Fifteen of the total events (79%) occurred in patients in whom the incidental pertinent reportable cardiac findings were not reported, which was significantly different (p < 0.001) from the four events that occurred in patients in whom the incidental pertinent reportable cardiac findings were reported or had no findings. CONCLUSIONS Incidental pertinent reportable cardiac findings are common on abdominal CTs and are frequently not reported by radiologists. These findings are of clinical relevance since patients with pertinent reportable cardiac findings have a significantly higher incidence of cardiovascular events on follow-up.
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Affiliation(s)
| | - Irai Oliveira
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Sarah Mercaldo
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Hamed Kordbacheh
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | - Garry Choy
- Department of Radiology, Massachusetts General Hospital, Boston, MA
| | | | - Sandeep S Hedgire
- Department of Radiology, Massachusetts General Hospital, Boston, MA.
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3
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Martens B, Driessen RG, Brandts L, Hoitinga P, van Veen F, Driessen M, Weberndörfer V, Kietselaer B, Ghossein-Doha C, Gietema HA, Vernooy K, van der Horst IC, Wildberger JE, van Bussel BC, Mihl C. Coronary Artery Calcifications Are Associated With More Severe Multiorgan Failure in Patients With Severe Coronavirus Disease 2019 Infection: Longitudinal Results of the Maastricht Intensive Care COVID Cohort. J Thorac Imaging 2022; 37:217-224. [PMID: 35412497 PMCID: PMC9223512 DOI: 10.1097/rti.0000000000000648] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is regarded as a multisystemic disease. Patients with preexisting cardiovascular disease have an increased risk for a more severe disease course. This study aimed to investigate if a higher degree of coronary artery calcifications (CAC) on a standard chest computed tomography (CT) scan in mechanically ventilated patients was associated with a more severe multiorgan failure over time. MATERIALS AND METHODS All mechanically ventilated intensive care unit patients with SARS-CoV-2 infection who underwent a chest CT were prospectively included. CT was used to establish the extent of CAC using a semiquantitative grading system. We categorized patients into 3 sex-specific tertiles of CAC: lowest, intermediate, and highest CAC score. Daily, the Sequential Organ Failure Assessment (SOFA) scores were collected to evaluate organ failure over time. Linear mixed-effects regression was used to investigate differences in SOFA scores between tertiles. The models were adjusted for age, sex, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, cardiovascular risk factors, and chronic liver, lung, and renal disease. RESULTS In all, 71 patients were included. Patients in the highest CAC tertile had, on average, over time, 1.8 (0.5-3.1) points higher SOFA score, compared with the lowest CAC tertile ( P =0.005). This association remained significant after adjustment for age, sex, and APACHE II score (1.4 [0.1-2.7], P =0.042) and clinically relevant after adjustment for cardiovascular risk factors (1.3 [0.0-2.7], P =0.06) and chronic diseases (1.3 [-0.2 to 2.7], P =0.085). CONCLUSION A greater extent of CAC is associated with a more severe multiorgan failure in mechanically ventilated coronavirus disease 2019 patients.
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Affiliation(s)
- Bibi Martens
- Departments of Radiology and Nuclear Medicine
- Cardiovascular Research Institute Maastricht (CARIM)
| | - Rob G.H. Driessen
- Intensive Care Medicine
- Cardiology
- Cardiovascular Research Institute Maastricht (CARIM)
| | - Lloyd Brandts
- Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+
| | | | | | | | | | - Bas Kietselaer
- Department of Cardiology, Zuyderland Medical Centre Heerlen, Heerlen, The Netherlands
| | - Chahinda Ghossein-Doha
- Intensive Care Medicine
- Cardiovascular Research Institute Maastricht (CARIM)
- School for Oncology & Developmental Biology (GROW)
- Department of Cardiology, Zuyderland Medical Centre Heerlen, Heerlen, The Netherlands
| | - Hester A. Gietema
- Departments of Radiology and Nuclear Medicine
- School for Oncology & Developmental Biology (GROW)
| | | | | | - Joachim E. Wildberger
- Departments of Radiology and Nuclear Medicine
- Cardiovascular Research Institute Maastricht (CARIM)
| | - Bas C.T. van Bussel
- Intensive Care Medicine
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht
| | - Casper Mihl
- Departments of Radiology and Nuclear Medicine
- Cardiovascular Research Institute Maastricht (CARIM)
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de Vos BD, Lessmann N, de Jong PA, Išgum I. Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT. Radiol Cardiothorac Imaging 2021; 3:e190219. [PMID: 33969304 DOI: 10.1148/ryct.2021190219] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/05/2021] [Accepted: 01/20/2021] [Indexed: 01/06/2023]
Abstract
Purpose To examine the prognostic value of location-specific arterial calcification quantities at lung screening low-dose CT for the prediction of cardiovascular disease (CVD) mortality. Materials and Methods This retrospective study included 5564 participants who underwent low-dose CT from the National Lung Screening Trial between August 2002 and April 2004, who were followed until December 2009. A deep learning network was trained to quantify six types of vascular calcification: thoracic aorta calcification (TAC); aortic and mitral valve calcification; and coronary artery calcification (CAC) of the left main, the left anterior descending, and the right coronary artery. TAC and CAC were determined in six evenly distributed slabs spatially aligned among chest CT images. CVD mortality prediction was performed with multivariable logistic regression using least absolute shrinkage and selection operator. The methods were compared with semiautomatic baseline prediction using self-reported participant characteristics, such as age, history of smoking, and history of illness. Statistical significance between the prediction models was tested using the nonparametric DeLong test. Results The prediction model was trained with data from 4451 participants (median age, 61 years; 37.9% women) and then tested on data from 1113 participants (median age, 61 years; 37.9% women). The prediction model using calcium scores achieved a C statistic of 0.74 (95% CI: 0.69, 0.79), and it outperformed the baseline model using only participant characteristics (C statistic, 0.69; P = .049). Best results were obtained when combining all variables (C statistic, 0.76; P < .001). Conclusion Five-year CVD mortality prediction using automatically extracted image-based features is feasible at lung screening low-dose CT.© RSNA, 2021.
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Affiliation(s)
- Bob D de Vos
- Department of Biomedical Engineering and Physics (B.D.d.V., I.I.), Cardiovascular Institute (B.D.d.V., I.I.), and Department of Radiology and Nuclear Medicine (I.I.), Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, the Netherlands; and Image Sciences Institute (B.D.d.V., N.L., I.I.) and Department of Radiology (P.A.d.J., I.I.), University Medical Center Utrecht, Utrecht, the Netherlands
| | - Nikolas Lessmann
- Department of Biomedical Engineering and Physics (B.D.d.V., I.I.), Cardiovascular Institute (B.D.d.V., I.I.), and Department of Radiology and Nuclear Medicine (I.I.), Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, the Netherlands; and Image Sciences Institute (B.D.d.V., N.L., I.I.) and Department of Radiology (P.A.d.J., I.I.), University Medical Center Utrecht, Utrecht, the Netherlands
| | - Pim A de Jong
- Department of Biomedical Engineering and Physics (B.D.d.V., I.I.), Cardiovascular Institute (B.D.d.V., I.I.), and Department of Radiology and Nuclear Medicine (I.I.), Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, the Netherlands; and Image Sciences Institute (B.D.d.V., N.L., I.I.) and Department of Radiology (P.A.d.J., I.I.), University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ivana Išgum
- Department of Biomedical Engineering and Physics (B.D.d.V., I.I.), Cardiovascular Institute (B.D.d.V., I.I.), and Department of Radiology and Nuclear Medicine (I.I.), Amsterdam University Medical Center, Meibergdreef 9, Amsterdam, the Netherlands; and Image Sciences Institute (B.D.d.V., N.L., I.I.) and Department of Radiology (P.A.d.J., I.I.), University Medical Center Utrecht, Utrecht, the Netherlands
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5
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Velangi PS, Kenny B, Hooks M, Kanda A, Schertz K, Kharoud H, Sandhu GS, Kalra R, Allen T, Begnaud A, Nijjar PS. Impact of 2016 SCCT/STR guidelines for coronary artery calcium scoring of noncardiac chest CT scans on lung cancer screening CT reporting. Int J Cardiovasc Imaging 2021; 37:2777-2784. [PMID: 33860401 DOI: 10.1007/s10554-021-02241-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 04/07/2021] [Indexed: 11/29/2022]
Abstract
The 2016 SCCT/STR guideline for coronary artery calcification (CAC) scoring on non-cardiac chest CT (NCCT) scans explicitly calls for the reporting of CAC. Whether the publication of the 2016 SCCT/STR guideline has had any impact on CAC reporting in lung cancer screening (LCS) scans has not been investigated. Consecutive patients with a LCS scan were identified from the University of Minnesota LCS registry and evaluated for CAC reporting in 3 separate cohorts: 6 months before, 6 months after, and 1 year after the publication of the 2016 SCCT/STR guideline. Scans were evaluated for CAC and quantified using the Agatston method. CAC reporting, downstream testing and initiation of preventive therapy were assessed. Among 614 patients (50% male, mean age 64.1 ± 6.0 years), CAC was present in 460 (74.9%) with a median Agatston score of 62 (IQR 0, 230). Of these, 196 (31.9%) had a CAC score of 1-100, 125 (20.4%) had 101-300, and 118 (19.2%) had > 300. Overall, CAC was reported in 325 (70.7%) patients with CAC present. CAC reporting relative to publication of the 2016 SCCT/STR guideline was as follows: 6 months prior-74.1%, 6 months after-64.6%, and 1 year after-77.5%. In the 308 patients with a new diagnosis of sub-clinical CAD based on CAC presence, 6 (1.9%) patients were referred to cardiology, and 15 (4.9%) patients underwent testing for obstructive CAD. Only 6 (1.9%) and 9 (2.9%) patients were newly started on aspirin and statin respectively. CAC detected incidentally on lung cancer screening CT scans is prevalent, and rarely acted upon clinically. CAC reporting is fairly high, and publication of the 2016 SCCT/STR guideline for CAC scoring on NCCT scans did not have any significant impact on CAC reporting.
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Affiliation(s)
- Pratik S Velangi
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN, 55455, USA
- Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Barrett Kenny
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN, 55455, USA
| | - Matthew Hooks
- Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Adinan Kanda
- Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Kelsey Schertz
- Pulmonary and Critical Care Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Harmeet Kharoud
- School of Public Health, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Gurmandeep S Sandhu
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN, 55455, USA
| | - Rajat Kalra
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN, 55455, USA
| | - Tadashi Allen
- Department of Radiology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Abbie Begnaud
- Pulmonary and Critical Care Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Prabhjot Singh Nijjar
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 420 Delaware Street SE, MMC 508, Minneapolis, MN, 55455, USA.
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6
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Bernheim A, Grunhut J, Tang A, Gofur E, Thai J, Mehta V, Stern J, Jadidi N, Hodes A, Goldwasser B, Arneja A, Krausz D, Coords M, Peti S, Chacko J, Sarkany D. Should Radiologists Comment on Incidental Findings of Vascular Calcifications Found on Abdominal/Pelvic CT in Patients Less Than 50 Years of Age? Acad Radiol 2020; 27:1057-1062. [PMID: 31837970 DOI: 10.1016/j.acra.2019.10.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 10/10/2019] [Accepted: 10/10/2019] [Indexed: 12/21/2022]
Abstract
RATIONALE AND OBJECTIVES To evaluate if incidental abdominopelvic calcified atherosclerosis (ACA) in patients under 50 years of age correlates with cardiovascular disease (CVD) risk factors. Most studies evaluating calcific atherosclerosis and associated increased risk of CVD have concentrated on middle age and older populations. MATERIALS AND METHODS A retrospective review of 519 emergency department patients, aged 25-50 years, receiving computed tomography (CT) was performed and ACA correlated with lipid panels obtained via chart review. Those with calcified atherosclerosis were subdivided by vessel location and calcification burden (mild, moderate, or severe). Patients were followed for six years. Normality, Wilcoxon-Mann-Whitney, Kruskal-Wallis, and chi-square tests were performed. RESULTS Two hundred and sixty-nine patients with incidental ACA on CT and 250 without ACA were studied. Atherosclerotic calcifications had a statistically significant correlation with elevated triglyceride (128 mg/dL vs 105 mg/dL; p = 0.0003) and decreased high-density lipoprotein (38 mg/dL vs 41 mg/dL; p = 0.0032) as compared to the control. Patients with ACA were at higher risk of stroke, heart attack, and death (p < 0.0001) during a six-year follow-up period. CONCLUSION Incidental atherosclerotic calcification on abdominopelvic CT in patients under 50 years of age correlated with elevated triglycerides and decreased high-density lipoprotein as well as higher risk of cardiovascular events. Since radiologists may be the first to identify this finding and CVD is the leading cause of US deaths, proper recognition and reporting of calcification is valuable.
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Affiliation(s)
- Adam Bernheim
- Icahn School of Medicine at Mount Sinai, New York, New York
| | - Joel Grunhut
- City University of New York Queens College, Queens, New York
| | - Alex Tang
- City University of New York School of Medicine, New York, New York
| | - Ekramul Gofur
- City University of New York School of Medicine, New York, New York
| | - Janice Thai
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell at Staten Island University Hospital Northwell Health, Staten Island, New York
| | - Varun Mehta
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell at Staten Island University Hospital Northwell Health, Staten Island, New York
| | - Jonathan Stern
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell at Staten Island University Hospital Northwell Health, Staten Island, New York
| | - Nima Jadidi
- Radiology Imaging Associates, Landsdowne, Virginia
| | - Adam Hodes
- George Washington University School of Medicine, Washington, District of Columbia
| | - Bernard Goldwasser
- Albert Einstein College of Medicine at Jacobi Medical Center, Bronx, New York
| | - Amrita Arneja
- New York University School of Medicine, New York, New York
| | | | | | - Steven Peti
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell at Staten Island University Hospital Northwell Health, Staten Island, New York
| | - Jerel Chacko
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell at Staten Island University Hospital Northwell Health, Staten Island, New York
| | - David Sarkany
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Staten Island University Hospital Northwell Health, Department of Radiology, 475 Seaview Avenue, Staten Island, NY 10305.
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7
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Eijsvoogel NG, Hendriks BMF, Martens B, Gerretsen SC, Gommers S, van Kuijk SMJ, Mihl C, Wildberger JE, Das M. The performance of non-ECG gated chest CT for cardiac assessment - The cardiac pathologies in chest CT (CaPaCT) study. Eur J Radiol 2020; 130:109151. [PMID: 32650129 DOI: 10.1016/j.ejrad.2020.109151] [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: 04/01/2020] [Revised: 06/03/2020] [Accepted: 06/21/2020] [Indexed: 01/22/2023]
Abstract
PURPOSE Evaluating the prevalence of CAD on non-ECG gated chest CTs, image quality (IQ) and the clinical performance of the CAD-RADS classification for predicting cardiovascular events (CVE). METHODS 215 consecutive patients referred for chest CTs between May 2016 and March 2018 were included (3rd-generation DSCT) using non-ECG gated acquisitions with automated tube voltage selection (110kVqual.ref/40mAsqual.ref), pitch 2.65-3.0 and individualized contrast media injection protocols. Dedicated cardiac post-processing reconstructions (0.6 mm/0.4 mm/Kernel Bv36) were added to standard chest reconstructions. Two independent cardiac radiologists performed a 3-step analysis. In case of discrepancy, a third reader gave the final decision. Step 1: visual presence of calcifications; 2: scans with calcifications assessed for IQ using a 5-point Likert scale (poor/sufficient/moderate/good/excellent); 3: stenosis severity was analysed in detail (if Likert sufficient-excellent using CAD-RADS). Electronic patient files were checked to see if pathology was previously mentioned (incidental) and whether patients developed an CVE during follow-up. RESULTS 1: Calcifications were present in 156/215 cases (72.6 %), 74 of these were incidental. 2: In 68/156 (43.6 %) patients with calcifications IQ was rated sufficient-excellent. 3: CAD-RADS≥3 was seen in 39/68 patients (57.4 %), 12 times (30.8 %) findings were incidental. During follow-up (median 16 [0-35] months), 7/39 (18 %) patients with CAD-RADS≥3 developed a CVE. 17 patients died during follow-up. CONCLUSION Coronary calcification on non ECG-gated chest CTs was detected in 72.6 % of patients, cardiac assessment was feasible in nearly half of these patients. Only patients with a CAD-RADS≥3 developed CVE, therefore the CAD-RADS may help identify and guide patients at risk of future CVE.
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Affiliation(s)
- N G Eijsvoogel
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre+, Maastricht, the Netherlands.
| | - B M F Hendriks
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre+, Maastricht, the Netherlands.
| | - B Martens
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre+, Maastricht, the Netherlands.
| | - S C Gerretsen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, the Netherlands.
| | - S Gommers
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, the Netherlands.
| | - S M J van Kuijk
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre+, Maastricht, the Netherlands.
| | - C Mihl
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, the Netherlands.
| | - J E Wildberger
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre+, Maastricht, the Netherlands.
| | - M Das
- Department of Diagnostic and Interventional Radiology, Helios Kliniken Duisburg, An Der Abtei 7-11, 47166 Duisburg, Germany.
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Daghem M, Bing R, Fayad ZA, Dweck MR. Noninvasive Imaging to Assess Atherosclerotic Plaque Composition and Disease Activity: Coronary and Carotid Applications. JACC Cardiovasc Imaging 2020; 13:1055-1068. [PMID: 31422147 PMCID: PMC10661368 DOI: 10.1016/j.jcmg.2019.03.033] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 03/07/2019] [Accepted: 03/24/2019] [Indexed: 12/20/2022]
Abstract
Cardiovascular disease is one of the leading causes of mortality and morbidity worldwide. Atherosclerosis imaging has traditionally focused on detection of obstructive luminal stenoses or measurements of plaque burden. However, with advances in imaging technology it has now become possible to noninvasively interrogate plaque composition and disease activity, thereby differentiating stable from unstable patterns of disease and potentially improving risk stratification. This manuscript reviews multimodality imaging in this field, focusing on carotid and coronary atherosclerosis and how these novel techniques have the potential to complement current imaging assessments and improve clinical decision making.
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Affiliation(s)
- Marwa Daghem
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Rong Bing
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Zahi A Fayad
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
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9
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High-pitch non-gated scans on the second and third generation dual-source CT scanners: comparison of coronary image quality. Clin Imaging 2020; 59:45-49. [DOI: 10.1016/j.clinimag.2019.09.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 08/29/2019] [Accepted: 09/23/2019] [Indexed: 11/24/2022]
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10
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Choi TS, Yong HS, Kim C, Suh YJ. Clinical Value of Cardiovascular Calcifications on Non-Enhanced, Non-ECG-Gated Chest CT. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2020; 81:324-336. [PMID: 36237389 PMCID: PMC9431822 DOI: 10.3348/jksr.2020.81.2.324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 12/22/2019] [Accepted: 03/24/2020] [Indexed: 11/15/2022]
Abstract
심혈관계 석회화는 다양한 심혈관계 질환에서 나타나며 심혈관 사건 발생의 표지자의 역할을 한다. CT의 기술이 발전함에 따라 심전도동기 CT뿐만이 아닌 비 심전도동기 CT에서도 심혈관계 석회화를 평가하는 것이 가능해졌다. 이번 종설에서는 비 조영증강 비 심전도동기 흉부 CT에서 발견되는 심혈관계 석회화를 심혈관 사건 발생과 연관되었다고 알려진 3가지 석회화(관상동맥, 흉부 대동맥, 판막 석회화)에 대해 자세히 살펴보고 추가적으로 우연적으로 발견될 수 있는 심막 석회화에 대해서도 간단히 기술하였다. 우리나라에서 2019년 하반기부터 폐암 검진이 시작되면서 고령 흡연자의 비 조영증강 비 심전도동기 저선량 CT의 영상의 수가 늘어나고 있고 이에 우연히 발견되는 심혈관계 석회화도 늘어나고 있다. 그러므로 비 조영증강 비 심전도동기 흉부 CT에서 발견되는 심혈관계 석회화의 의미를 이해하고 적절히 보고하는 것이 영상의학과 의사에게 중요할 것이다.
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Affiliation(s)
- Tae Seop Choi
- Department of Radiology, Korea University Guro Hospital, College of Medicine, Korea University, Seoul, Korea
| | - Hwan Seok Yong
- Department of Radiology, Korea University Guro Hospital, College of Medicine, Korea University, Seoul, Korea
| | - Cherry Kim
- Department of Radiology, Korea University Ansan Hospital, College of Medicine, Korea University, Ansan, Korea
| | - Young Joo Suh
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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11
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Abstract
OBJECTIVE. Radiology reports often contain follow-up imaging recommendations. Failure to comply with these recommendations in a timely manner can lead to poor patient outcomes, complications, and legal liability. As such, the primary objective of this research was to determine adherence rates to follow-up recommendations. MATERIALS AND METHODS. Radiology-related examination data, including report text, for examinations performed between June 1, 2015, and July 31, 2017, were extracted from the radiology departments at the University of Washington (UW) and Lahey Hospital and Medical Center (LHMC). The UW dataset contained 923,885 examinations, and the LHMC dataset contained 763,059 examinations. A 1-year period was used for detection of imaging recommendations and up to 14-months for the follow-up examination to be performed. RESULTS. On the basis of an algorithm with 97.9% detection accuracy, the follow-up imaging recommendation rate was 11.4% at UW and 20.9% at LHMC. Excluding mammography examinations, the overall follow-up imaging adherence rate was 51.9% at UW (range, 44.4% for nuclear medicine to 63.0% for MRI) and 52.0% at LHMC (range, 30.1% for fluoroscopy to 63.2% for ultrasound) using a matcher algorithm with 76.5% accuracy. CONCLUSION. This study suggests that follow-up imaging adherence rates vary by modality and between sites. Adherence rates can be influenced by various legitimate factors. Having the capability to identify patients who can benefit from patient engagement initiatives is important to improve overall adherence rates. Monitoring of follow-up adherence rates over time and critical evaluation of variation in recommendation patterns across the practice can inform measures to standardize and help mitigate risk.
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12
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Noncontrast Chest Computed Tomographic Imaging of Obesity and the Metabolic Syndrome. J Thorac Imaging 2019; 34:116-125. [DOI: 10.1097/rti.0000000000000391] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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13
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Itri JN, Raghavan K, Patel SB, Broder JC, Tierney S, Gray D, Burleson J, MacDonald S, Seidenwurm DJ. Developing Quality Measures for Diagnostic Radiologists: Part 2. J Am Coll Radiol 2018; 15:1366-1384. [DOI: 10.1016/j.jacr.2018.05.040] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Revised: 04/23/2018] [Accepted: 05/05/2018] [Indexed: 12/21/2022]
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14
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Munden RF, Carter BW, Chiles C, MacMahon H, Black WC, Ko JP, McAdams HP, Rossi SE, Leung AN, Boiselle PM, Kent MS, Brown K, Dyer DS, Hartman TE, Goodman EM, Naidich DP, Kazerooni EA, Berland LL, Pandharipande PV. Managing Incidental Findings on Thoracic CT: Mediastinal and Cardiovascular Findings. A White Paper of the ACR Incidental Findings Committee. J Am Coll Radiol 2018; 15:1087-1096. [PMID: 29941240 DOI: 10.1016/j.jacr.2018.04.029] [Citation(s) in RCA: 93] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 04/23/2018] [Indexed: 12/21/2022]
Abstract
The ACR Incidental Findings Committee presents recommendations for managing incidentally detected mediastinal and cardiovascular findings found on CT. The Chest Subcommittee was composed of thoracic radiologists who developed the provided guidance. These recommendations represent a combination of current published evidence and expert opinion and were finalized by informal iterative consensus. The recommendations address the most commonly encountered mediastinal and cardiovascular incidental findings and are not intended to be a comprehensive review of all incidental findings associated with these compartments. Our goal is to improve the quality of care by providing guidance on how to manage incidentally detected thoracic findings.
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Affiliation(s)
- Reginald F Munden
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
| | - Brett W Carter
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Caroline Chiles
- Wake Forest University Health Sciences Center, Winston-Salem, North Carolina
| | | | - William C Black
- Dartmouth-Hitchcock Medical Center and Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
| | - Jane P Ko
- NYU Langone Health, New York, New York
| | | | | | - Ann N Leung
- Stanford University Medical Center, Stanford, California
| | - Phillip M Boiselle
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida
| | - Michael S Kent
- Beth Israel Deaconess Medical Center, Division of Thoracic Surgery and Interventional Pulmonology, Boston, Massachusetts
| | - Kathleen Brown
- David Geffen School of Medicine at UCLA, Los Angeles, California
| | | | | | - Eric M Goodman
- Donald and Barbara Zucker School of Medicine at Hofstra Northwell, Manhasset, New York
| | | | | | - Lincoln L Berland
- Professor Emeritus, University of Alabama at Birmingham, Birmingham, Alabama
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15
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Eijsvoogel NG, Hendriks BMF, Park HB, Altintas S, Mihl C, Horehledova B, Kietselaer BLJH, Crijns HJGM, Wildberger JE, Das M. The role of standard non-ECG gated chest CT in cardiac assessment: design and rationale of the Cardiac Pathologies in standard chest CT (CaPaCT) study. Eur Radiol Exp 2018; 2:9. [PMID: 29726546 PMCID: PMC5920004 DOI: 10.1186/s41747-018-0039-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 02/01/2018] [Indexed: 12/14/2022] Open
Abstract
Modern high-performance computed tomography (CT) scanners with improved scan acquisition times now allow for routine assessment of cardiac pathologies on chest CTs, which can result in numerous incidental cardiac findings. The CaPaCT study, an observer blinded, single-centre study, aims to assess the visibility, management and possible clinical impact of incidental cardiac pathologies that are now becoming visible on standard chest CTs. A total of 217 consecutive patients referred for a chest CT on a high-performance third-generation dual-source CT scanner will be included. Tube voltage settings will be chosen via automated kV selection. Dedicated cardiac reconstructions will be added to the standard post-processing: 0.6-mm slice thickness, 0.4-mm increment and Bv36 kernel (iterative reconstruction/strength 3). Primary endpoints will be the presence and extent of coronary artery disease (CAD) assessed via a 17-segment model. These data will be collected and analysed by two experienced, blinded cardiac radiologists. Furthermore, information on aortic and mitral valve morphology/calcification and pericardial abnormalities will be collected. The CAD Reporting and Data System classification will subsequently be used to assess the management and possible clinical burden of any incidentally detected CAD. Additionally, objective and subjective image quality (attenuation, contrast-to-noise, signal-to-noise and 5-point Likert scale) of the obtained cardiac reconstructions will be assessed.
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Affiliation(s)
- Nienke G Eijsvoogel
- 1Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, The Netherlands.,2CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Babs M F Hendriks
- 1Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, The Netherlands.,2CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Hugo B Park
- 3Biomedical Sciences, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Sibel Altintas
- 2CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands.,4Department of Cardiology, Maastricht University Medical Centre, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, The Netherlands
| | - Casper Mihl
- 1Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, The Netherlands.,2CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Barbora Horehledova
- 1Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, The Netherlands.,2CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Bastiaan L J H Kietselaer
- 1Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, The Netherlands.,2CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands.,4Department of Cardiology, Maastricht University Medical Centre, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, The Netherlands
| | - Harry J G M Crijns
- 2CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands.,4Department of Cardiology, Maastricht University Medical Centre, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, The Netherlands
| | - Joachim E Wildberger
- 1Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, The Netherlands.,2CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Marco Das
- 1Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, P. Debyelaan 25, PO Box 5800, 6202 AZ Maastricht, The Netherlands.,2CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands.,Department of Interventional and Diagnostic Radiology, Helios Kliniken Duisburg, Duisburg, Germany
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16
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Measuring Left Ventricular Size in Non–Electrocardiographic-gated Chest Computed Tomography. J Thorac Imaging 2018. [DOI: 10.1097/rti.0000000000000275] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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17
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Mabotuwana T, Hombal V, Dalal S, Hall CS, Gunn M. Determining Adherence to Follow-up Imaging Recommendations. J Am Coll Radiol 2018; 15:422-428. [DOI: 10.1016/j.jacr.2017.11.022] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 11/04/2017] [Accepted: 11/18/2017] [Indexed: 12/21/2022]
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18
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Borggreve AS, Goense L, van Rossum PSN, van Hillegersberg R, de Jong PA, Ruurda JP. Generalized cardiovascular disease on a preoperative CT scan is predictive for anastomotic leakage after esophagectomy. Eur J Surg Oncol 2018; 44:587-593. [PMID: 29452856 DOI: 10.1016/j.ejso.2018.01.225] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 01/12/2018] [Accepted: 01/22/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Recent studies demonstrated that calcification of arteries supplying the gastric tube is associated with anastomotic leakage after esophagectomy. However, it remains unclear whether this association only derives from local flow limitations, or generalized vascular disease as well. The purpose of this study was to determine whether calcification throughout the entire cardiovascular system is associated with anastomotic leakage. METHODS Consecutive patients who underwent an esophagectomy with gastric tube reconstruction and cervical anastomosis for esophageal cancer were analyzed. Diagnostic CT images were scored for the presence of arterial calcification on 10 locations based on a visual grading system. The association with anastomotic leakage was studied using logistic regression analysis. RESULTS A total of 406 patients were included for analysis of whom 104 developed anastomotic leakage (25.6%). Presence of calcification in the coronary arteries (minor calcification: 36.5% leakage; no calcification: 18.1%, p = .001), supra-aortic arteries (minor calcification: 30.9% leakage; major calcification: 35.3%; no calcification: 16.1%, p = .007 and p < .001, respectively) and thoracic aorta (major calcification: 33.3% leakage; no calcification: 19.4%, p = .011) was associated with leakage. In multivariable analysis, minor calcification of the coronary arteries (OR 2.29, 95% CI: 1.28-4.12, p = .005) and calcification of the supra-aortic arteries (OR 2.48, 95% CI: 1.30-4.74, p = .006 for minor calcification and OR 2.72, 95% CI: 1.49-4.99, p = .001 for major calcification) remained independently associated with leakage. CONCLUSIONS Calcification of the coronary and supra-aortic arteries on routine CT are predictive of cervical anastomotic leakage after esophagectomy. These results suggest that generalized cardiovascular disease is a strong indicator for the risk of leakage.
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Affiliation(s)
- Alicia S Borggreve
- Department of Surgery, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584, CX Utrecht, The Netherlands; Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584, CX Utrecht, The Netherlands
| | - Lucas Goense
- Department of Surgery, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584, CX Utrecht, The Netherlands; Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584, CX Utrecht, The Netherlands
| | - Peter S N van Rossum
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584, CX Utrecht, The Netherlands
| | - Richard van Hillegersberg
- Department of Surgery, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584, CX Utrecht, The Netherlands
| | - Pim A de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584, CX Utrecht, The Netherlands
| | - Jelle P Ruurda
- Department of Surgery, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584, CX Utrecht, The Netherlands.
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19
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Mets OM, Chung K, Scholten ET, Veldhuis WB, Prokop M, van Ginneken B, Schaefer-Prokop CM, de Jong PA. Incidental perifissural nodules on routine chest computed tomography: lung cancer or not? Eur Radiol 2017; 28:1095-1101. [PMID: 28986629 PMCID: PMC5811588 DOI: 10.1007/s00330-017-5055-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2017] [Revised: 07/27/2017] [Accepted: 08/31/2017] [Indexed: 12/19/2022]
Abstract
Objectives Perifissural nodules (PFNs) are a common finding on chest CT, and are thought to represent non-malignant lesions. However, data outside a lung cancer-screening setting are currently lacking. Methods In a nested case-control design, out of a total cohort of 16,850 patients ≥ 40 years of age who underwent routine chest CT (2004-2012), 186 eligible subjects with incident lung cancer and 511 controls without were investigated. All non-calcified nodules ≥ 4 mm were semi-automatically annotated. Lung cancer location and subject characteristics were recorded. Results Cases (56 % male) had a median age of 64 years (IQR 59–70). Controls (60 % male) were slightly younger (p<0.01), median age of 61 years (IQR 51–70). A total of 262/1,278 (21 %) unique non-calcified nodules represented a PFN. None of these were traced to a lung malignancy over a median follow-up of around 4.5 years. PFNs were most often located in the lower lung zones (72 %, p<0.001). Median diameter was 4.6 mm (range: 4.0–8.1), volume 51 mm3 (range: 32–278). Some showed growth rates < 400 days. Conclusions Our data show that incidental PFNs do not represent lung cancer in a routine care, heterogeneous population. This confirms prior screening-based results. Key Points • One-fifth of non-calcified nodules represented a perifissural nodule in our non-screening population. • PFNs fairly often show larger size, and can show interval growth. • When morphologically resembling a PFN, nodules are nearly certainly not a malignancy. • The assumed benign aetiology of PFNs seems valid outside the screening setting.
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Affiliation(s)
- Onno M Mets
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
| | - Kaman Chung
- Diagnostic Image Analysis Group, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Ernst Th Scholten
- Diagnostic Image Analysis Group, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Wouter B Veldhuis
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
| | - M Prokop
- Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Bram van Ginneken
- Diagnostic Image Analysis Group, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Cornelia M Schaefer-Prokop
- Diagnostic Image Analysis Group, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
- Department of Radiology, Meander Medical Center, Amersfoort, The Netherlands
| | - Pim A de Jong
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands
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20
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Balakrishnan R, Nguyen B, Raad R, Donnino R, Naidich DP, Jacobs JE, Reynolds HR. Coronary artery calcification is common on nongated chest computed tomography imaging. Clin Cardiol 2017; 40:498-502. [PMID: 28300293 DOI: 10.1002/clc.22685] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 11/30/2016] [Accepted: 01/21/2017] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Coronary artery calcification as assessed by computed tomography (CT) is a validated predictor of cardiovascular risk, whether identified on a dedicated cardiac study or on a routine non-gated chest CT. The prevalence of incidentally detected coronary artery calcification on non-gated chest CT imaging and consistency of reporting have not been well characterized. HYPOTHESIS Coronary calcification is present on chest CT in some patients not taking statin therapy and may be under-reported. METHODS Non-gated chest CT images dated 1/1/2012 to 1/1/2013 were retrospectively reviewed. Demographics and medical history were obtained from charts. Patients with known history of coronary revascularization and/or pacemaker/defibrillator were excluded. Two independent readers with cardiac CT expertise evaluated images for the presence and anatomical distribution of any coronary calcification, blinded to all clinical information including CT reports. Original clinical CT reports were subsequently reviewed. RESULTS Coronary calcification was identified in 204/304 (68%) chest CTs. Patients with calcification were older and had more hyperlipidemia, smoking history, and known coronary artery disease. Of patients with calcification, 43% were on aspirin and 62% were on statin medication at the time of CT. Coronary calcification was identified in 69% of reports when present. CONCLUSIONS A high prevalence of coronary calcification was found in non-gated chest CT scans performed for non-cardiac indications. In one-third, coronary calcification was not mentioned in the clinical report when actually present. In this population of patients with cardiac risk factors, standard reporting of the presence of coronary calcification may provide an opportunity for risk factor modification.
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Affiliation(s)
- Revathi Balakrishnan
- Cardiovascular Clinical Research Center, Leon H. Charney Division of Cardiology, New York University School of Medicine, New York, New York
| | - Brian Nguyen
- Cardiovascular Clinical Research Center, Leon H. Charney Division of Cardiology, New York University School of Medicine, New York, New York
| | - Roy Raad
- Department of Radiology, New York University School of Medicine, New York, New York
| | - Robert Donnino
- Cardiovascular Clinical Research Center, Leon H. Charney Division of Cardiology, New York University School of Medicine, New York, New York.,Department of Radiology, New York University School of Medicine, New York, New York
| | - David P Naidich
- Department of Radiology, New York University School of Medicine, New York, New York
| | - Jill E Jacobs
- Department of Radiology, New York University School of Medicine, New York, New York
| | - Harmony R Reynolds
- Department of Radiology, New York University School of Medicine, New York, New York
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21
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Automatic Coronary Artery Calcium Scoring on Radiotherapy Planning CT Scans of Breast Cancer Patients: Reproducibility and Association with Traditional Cardiovascular Risk Factors. PLoS One 2016; 11:e0167925. [PMID: 27936125 PMCID: PMC5148008 DOI: 10.1371/journal.pone.0167925] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Accepted: 11/22/2016] [Indexed: 01/07/2023] Open
Abstract
Objectives Coronary artery calcium (CAC) is a strong and independent predictor of cardiovascular disease (CVD) risk. This study assesses reproducibility of automatic CAC scoring on radiotherapy planning computed tomography (CT) scans of breast cancer patients, and examines its association with traditional cardiovascular risk factors. Methods This study included 561 breast cancer patients undergoing radiotherapy between 2013 and 2015. CAC was automatically scored with an algorithm using supervised pattern recognition, expressed as Agatston scores and categorized into five categories (0, 1–10, 11–100, 101–400, >400). Reproducibility between automatic and manual expert scoring was assessed in 79 patients with automatically determined CAC above zero and 84 randomly selected patients without automatically determined CAC. Interscan reproducibility of automatic scoring was assessed in 294 patients having received two scans (82% on the same day). Association between CAC and CVD risk factors was assessed in 36 patients with CAC scores >100, 72 randomly selected patients with scores 1–100, and 72 randomly selected patients without CAC. Reliability was assessed with linearly weighted kappa and agreement with proportional agreement. Results 134 out of 561 (24%) patients had a CAC score above zero. Reliability of CVD risk categorization between automatic and manual scoring was 0.80 (95% Confidence Interval (CI): 0.74–0.87), and slightly higher for scans with breath-hold. Agreement was 0.79 (95% CI: 0.72–0.85). Interscan reliability was 0.61 (95% CI: 0.50–0.72) with an agreement of 0.84 (95% CI: 0.80–0.89). Ten out of 36 (27.8%) patients with CAC scores above 100 did not have other cardiovascular risk factors. Conclusions Automatic CAC scoring on radiotherapy planning CT scans is a reliable method to assess CVD risk based on Agatston scores. One in four breast cancer patients planned for radiotherapy have elevated CAC score. One in three patients with high CAC scores don't have other CVD risk factors and wouldn't have been identified as high risk.
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Schoenhagen P, Ghoshhajra B, Achenbach S, Abbara S. Interpretation of ‘incidental’ cardiovascular findings in standard chest CTs impact of evolving scanner technology on educational requirements. J Cardiovasc Comput Tomogr 2016; 10:289-90. [DOI: 10.1016/j.jcct.2016.04.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2016] [Accepted: 04/22/2016] [Indexed: 12/21/2022]
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Sandfort V, Ahlman MA, Jones EC, Selwaness M, Y Chen M, R Folio L, Bluemke DA. High pitch third generation dual-source CT: Coronary and cardiac visualization on routine chest CT. J Cardiovasc Comput Tomogr 2016; 10:282-8. [PMID: 27133589 PMCID: PMC4958576 DOI: 10.1016/j.jcct.2016.03.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 03/21/2016] [Accepted: 03/25/2016] [Indexed: 12/21/2022]
Abstract
BACKGROUND Chest CT scans are frequently performed in radiology departments but have not previously contained detailed depiction of cardiac structures. OBJECTIVES To evaluate myocardial and coronary visualization on high-pitch non-gated CT of the chest using 3rd generation dual-source computed tomography (CT). METHODS Cardiac anatomy of patients who had 3rd generation, non-gated high pitch contrast enhanced chest CT and who also had prior conventional (low pitch) chest CT as part of a chest abdomen pelvis exam was evaluated. Cardiac image features were scored by reviewers blinded to diagnosis and pitch. Paired analysis was performed. RESULTS 3862 coronary segments and 2220 cardiac structures were evaluated by two readers in 222 CT scans. Most patients (97.2%) had chest CT for oncologic evaluation. The median pitch was 2.34 (IQR 2.05, 2.65) in high pitch and 0.8 (IQR 0.8, 0.8) in low pitch scans (p < 0.001). High pitch CT showed higher image visualization scores for all cardiovascular structures compared with conventional pitch scans (p < 0.0001). Coronary arteries were visualized in 9 coronary segments per exam in high pitch scans versus 2 segments for conventional pitch (p < 0.0001). Radiation exposure was lower in the high pitch group compared with the conventional pitch group (median CTDIvol 10.83 vs. 12.36 mGy and DLP 790 vs. 827 mGycm respectively, p < 0.01 for both) with comparable image noise (p = 0.43). CONCLUSION Myocardial structure and coronary arteries are frequently visualized on non-gated 3rd generation chest CT. These results raise the question of whether the heart and coronary arteries should be routinely interpreted on routine chest CT that is otherwise obtained for non-cardiac indications.
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Affiliation(s)
- Veit Sandfort
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Mark A Ahlman
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Elizabeth C Jones
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Mariana Selwaness
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Marcus Y Chen
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Les R Folio
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - David A Bluemke
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA.
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Kanza RE, Allard C, Berube M. Cardiac findings on non-gated chest computed tomography: A clinical and pictorial review. Eur J Radiol 2016; 85:435-51. [DOI: 10.1016/j.ejrad.2015.11.042] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Revised: 11/27/2015] [Accepted: 11/28/2015] [Indexed: 10/22/2022]
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Left atrio-vertebral ratio: A new computed-tomography measurement to identify left atrial dilation. Eur J Radiol 2016; 85:255-260. [PMID: 26724674 DOI: 10.1016/j.ejrad.2015.11.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Accepted: 11/09/2015] [Indexed: 01/20/2023]
Abstract
BACKGROUND Left cardiac chambers dilation, interstitial lung changes and pleural effusions are the characteristics of cardiogenic pulmonary oedema on computed tomography (CT) of the chest but mensuration of the left atrial size is not routinely performed. Cardiac chambers normal dimensions are known to be proportional to the patient's build and anthropomorphic data but adjustment of chambers dimensions to available elements seen on the axial CT images has never been evaluated before. OBJECTIVES Our objective was to use data easily available on axial images to directly scale the left atrium. We chose to divide the left atrial diameter by the thoracic vertebral diameter, using the latter as a body-mass indicator. As a preliminary study, we aimed to evaluate the range of values of this left atrio-vertebral ratio (LAVR) by comparing patients suffering from cardiogenic pulmonary oedema with patients free of cardiac disease. We hypothesized that if the difference of values in these two populations of patients was significant enough, this ratio would be relevant and could be used as a quick criterion in different clinical situations. METHOD Two radiologists reviewed CT scans of 32 of patients free of cardiac disease and 40 patients in acute cardiac failure. The maximum diameter of the left atrium at the level of the right inferior pulmonary vein was divided by the vertebral transverse diameter to generate a left atrio-vertebral ratio. Receiver operating characteristic curves identified the threshold associated with pulmonary oedema. MEASUREMENTS AND MAIN RESULTS The mean LAVR was 1.85 ± 0.27 in asymptomatic patients and 2.48 ± 0.35 in patients with pulmonary oedema. A LAVR of 2.1 yielded 85% sensitivity and 88% specificity for the diagnosis of cardiogenic pulmonary oedema. CONCLUSIONS LAVR is a simple new measure directly scaling the left atrial diameter to the anthropomorphic characteristics of the patient. In our series, a ratio above 2.1 is strongly associated with cardiogenic pulmonary oedema indirectly suggesting left atrial dilation. The results were significantly different between the two populations of patients (no heart condition versus cardiogenic pulmonary oedema) suggesting a high potential for clinical application.
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Under-reporting of cardiovascular findings on chest CT. Radiol Med 2015; 121:190-9. [DOI: 10.1007/s11547-015-0595-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Accepted: 10/12/2015] [Indexed: 12/14/2022]
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Walter WR, Goldberg-Stein S, Levsky JM, Cohen HW, Scheinfeld MH. A default normal chest CT structured reporting field for coronary calcifications does not cause excessive false-negative reporting. J Am Coll Radiol 2015; 12:783-7. [PMID: 25987467 PMCID: PMC4529794 DOI: 10.1016/j.jacr.2015.03.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2015] [Accepted: 03/04/2015] [Indexed: 11/17/2022]
Abstract
PURPOSE The aim of this study was to compare the accuracy of coronary atherosclerosis reporting before and after the implementation of a structured reporting chest CT template. METHODS A noncardiac, noncontrast chest CT structured reporting template was developed and mandated for department-wide use at a large academic center. The template included the statement "There are no coronary artery calcifications." All noncardiac, noncontrast chest CT examinations reported over 3 days, 1 month after template implementation (structured template group), and from a 3-day period 1 year prior (control group) were retrospectively collected. Final radiology reports were reviewed and designated positive or negative for coronary calcifications. CT images were reviewed in consensus by 2 radiologists, who scored each case for the presence or absence of coronary calcifications, blinded to the original report. Statistical analysis was performed using Pearson χ(2) and Fisher exact tests. RESULTS Sixty-five percent (69 of 106) of structured template group and 58% (62 of 106) of control group cases had coronary calcifications. Reports from the structured template group were more likely to correctly state the presence or absence of coronary atherosclerosis compared with those from the control group (96.2% vs 85.8%; odds ratio, 4.2; 95% confidence interval, 1.3-13.1; P = .008). Structured template group reports were less likely to be falsely negative compared with control group reports (3.8% vs 11.7%; odds ratio, 3.4; 95% confidence interval, 1.0-10.8; P = .03). CONCLUSIONS Implementing a structured reporting template improves reporting accuracy of coronary calcifications.
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Affiliation(s)
| | - Shlomit Goldberg-Stein
- Montefiore Medical Center, Albert Einstein College of Medicine, Department of Radiology, Bronx, NY
| | - Jeffrey M. Levsky
- Montefiore Medical Center, Albert Einstein College of Medicine, Department of Radiology, Bronx, NY
| | - Hillel W. Cohen
- Albert Einstein College of Medicine, Department of Epidemiology & Population Health, Bronx, NY
| | - Meir H. Scheinfeld
- Montefiore Medical Center, Albert Einstein College of Medicine, Department of Radiology, Bronx, NY
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Prognostic value of heart valve calcifications for cardiovascular events in a lung cancer screening population. Int J Cardiovasc Imaging 2015; 31:1243-9. [PMID: 25962863 PMCID: PMC4486764 DOI: 10.1007/s10554-015-0664-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Accepted: 04/15/2015] [Indexed: 10/28/2022]
Abstract
To assess the prognostic value of aortic valve and mitral valve/annulus calcifications for cardiovascular events in heavily smoking men without a history of cardiovascular disease. Heavily smoking men without a cardiovascular disease history who underwent non-contrast-enhanced low-radiation-dose chest CT for lung cancer screening were included. Non-imaging predictors (age, smoking status and pack-years) were collected and imaging-predictors (calcium volume of the coronary arteries, aorta, aortic valve and mitral valve/annulus) were obtained. The outcome was the occurrence of cardiovascular events. Multivariable Cox proportional-hazards regression was used to calculate hazard-ratios (HRs) with 95% confidence interval (CI). Subsequently, concordance-statistics were calculated. In total 3111 individuals were included, of whom 186 (6.0%) developed a cardiovascular event during a follow-up of 2.9 (Q1-Q3, 2.7-3.3) years. If aortic (n = 657) or mitral (n = 85) annulus/valve calcifications were present, cardiovascular event incidence increased to 9.0% (n = 59) or 12.9% (n = 11), respectively. HRs of aortic and mitral valve/annulus calcium volume for cardiovascular events were 1.46 (95% CI, 1.09-1.84) and 2.74 (95% CI, 0.92-4.56) per 500 mm(3). The c-statistic of a basic model including age, pack-years, current smoking status, coronary and aorta calcium volume was 0.68 (95% CI, 0.63-0.72), which did not change after adding heart valve calcium volume. Aortic valve calcifications are predictors of future cardiovascular events. However, there was no added prognostic value beyond age, number of pack-years, current smoking status, coronary and aorta calcium volume for short term cardiovascular events.
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Teniola O. Nongated CT in Patients at High Risk of Future Cardiovascular Events. Radiology 2015; 275:619-20. [DOI: 10.1148/radiol.2015142466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Jairam PM, de Jong PA, Mali WPTM, Isgum I, van der Graaf Y. Cardiovascular disease prediction: do pulmonary disease-related chest CT features have added value? Eur Radiol 2015; 25:1646-54. [PMID: 25773934 PMCID: PMC4419189 DOI: 10.1007/s00330-014-3495-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Revised: 09/16/2014] [Accepted: 11/10/2014] [Indexed: 11/30/2022]
Abstract
Objective Certain pulmonary diseases are associated with cardiovascular disease (CVD). Therefore we investigated the incremental predictive value of pulmonary, mediastinal and pleural features over cardiovascular imaging findings. Methods A total of 10,410 patients underwent diagnostic chest CT for non-cardiovascular indications. Using a case-cohort approach, we visually graded CTs from the cases and from an approximately 10 % random sample of the baseline cohort (n = 1,203) for cardiovascular, pulmonary, mediastinal and pleural findings. The incremental value of pulmonary disease-related CT findings above cardiovascular imaging findings in cardiovascular event risk prediction was quantified by comparing discrimination and reclassification. Results During a mean follow-up of 3.7 years (max. 7.0 years), 1,148 CVD events (cases) were identified. Addition of pulmonary, mediastinal and pleural features to a cardiovascular imaging findings-based prediction model led to marginal improvement of discrimination (increase in c-index from 0.72 (95 % CI 0.71–0.74) to 0.74 (95 % CI 0.72–0.75)) and reclassification measures (net reclassification index 6.5 % (p < 0.01)). Conclusion Pulmonary, mediastinal and pleural features have limited predictive value in the identification of subjects at high risk of CVD events beyond cardiovascular findings on diagnostic chest CT scans. Key Points • Incidental cardiovascular findings on routine chest CT can predict cardiovascular disease • Non-cardiovascular chest CT abnormalities are associated with cardiovascular disease • Non-cardiovascular chest CT features have limited predictive value beyond cardiovascular features Electronic supplementary material The online version of this article (doi:10.1007/s00330-014-3495-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Pushpa M Jairam
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands,
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