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Bi K, Wan K, Xu Y, Wang J, Li W, Guo J, Xu Z, Li Y, Deng Q, Cheng W, Sun J, Chen Y. Pulmonary Transit Time Derived from First-Pass Perfusion Cardiac MR Imaging: A Potential New Marker for Cardiac Involvement and Prognosis in Light-Chain Amyloidosis. J Magn Reson Imaging 2024; 60:999-1010. [PMID: 37972587 DOI: 10.1002/jmri.29135] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/31/2023] [Accepted: 11/02/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND First-pass perfusion cardiac MR imaging could reflect pulmonary hemodynamics. However, the clinical value of pulmonary transit time (PTT) derived from first-pass perfusion MRI in light-chain (AL) amyloidosis requires further evaluation. PURPOSE To assess the clinical and prognostic value of PTT in patients with AL amyloidosis. STUDY TYPE Prospective observational study. POPULATION 226 biopsy-proven systemic AL amyloidosis patients (age 58.62 ± 10.10 years, 135 males) and 43 healthy controls (age 42 ± 16.2 years, 20 males). FIELD STRENGTH/SEQUENCE SSFP cine and phase sensitive inversion recovery late gadolinium enhancement (LGE) sequences, and multislice first-pass myocardial perfusion imaging with a saturation recovery turbo fast low-angle shot (SR-TurboFLASH) pulse sequence at 3.0T. ASSESSMENT PTT was measured as the time interval between the peaks of right and left ventricular cavity arterial input function curves on first-pass perfusion MR images. STATISTICAL TESTS Independent-sample t test, Mann-Whitney U test, Chi-square test, Fisher's exact test, analysis of variance, or Kruskal-Wallis test, as appropriate; univariable and multivariable Cox proportional hazards models and Kaplan-Meier curves, area under receiver operating characteristic curve were used to determine statistical significance. RESULTS PTT could differentiate AL amyloidosis patients with (N = 188) and without (N = 38) cardiac involvement (area under the curve [AUC] = 0.839). During a median follow-up of 35 months, 160 patients (70.8%) demonstrated all-cause mortality. After adjustments for clinical (Hazard ratio [HR] 1.061, confidence interval [CI]: 1.021-1.102), biochemical (HR 1.055, CI: 1.014-1.097), cardiac MRI-derived (HR 1.077, CI: 1.034-1.123), and therapeutic (HR 1.063, CI: 1.024-1.103) factors, PTT predicted mortality independently in patients with AL amyloidosis. Finally, PTT could identify worse outcomes in patients demonstrating New York Heart Association class III, Mayo 2004 stage III, and transmural LGE pattern. DATA CONCLUSION PTT may serve as a new imaging predictor of cardiac involvement and prognosis in AL amyloidosis. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Keying Bi
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Ke Wan
- Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Yuanwei Xu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jie Wang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Weihao Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jiajun Guo
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Ziqian Xu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yangjie Li
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Qiao Deng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei Cheng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiayu Sun
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yucheng Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
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Farley J, Brown LA, Garg P, Wahab A, Klassen JR, Jex N, Thirunavukarasu S, Chowdhary A, Sharrack N, Gorecka M, Xue H, Artis N, Levelt E, Dall'Armellina E, Kellman P, Greenwood JP, Plein S, Swoboda PP. Pulmonary transit time is a predictor of outcomes in heart failure: a cardiovascular magnetic resonance first-pass perfusion study. BMC Cardiovasc Disord 2024; 24:329. [PMID: 38943084 PMCID: PMC11212156 DOI: 10.1186/s12872-024-04003-w] [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: 11/15/2023] [Accepted: 06/21/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND Pulmonary transit time (PTT) can be measured automatically from arterial input function (AIF) images of dual sequence first-pass perfusion imaging. PTT has been validated against invasive cardiac catheterisation correlating with both cardiac output and left ventricular filling pressure (both important prognostic markers in heart failure). We hypothesized that prolonged PTT is associated with clinical outcomes in patients with heart failure. METHODS We recruited outpatients with a recent diagnosis of non-ischaemic heart failure with left ventricular ejection fraction (LVEF) < 50% on referral echocardiogram. Patients were followed up by a review of medical records for major adverse cardiovascular events (MACE) defined as all-cause mortality, heart failure hospitalization, ventricular arrhythmia, stroke or myocardial infarction. PTT was measured automatically from low-resolution AIF dynamic series of both the LV and RV during rest perfusion imaging, and the PTT was measured as the time (in seconds) between the centroid of the left (LV) and right ventricle (RV) indicator dilution curves. RESULTS Patients (N = 294) were followed-up for median 2.0 years during which 37 patients (12.6%) had at least one MACE event. On univariate Cox regression analysis there was a significant association between PTT and MACE (Hazard ratio (HR) 1.16, 95% confidence interval (CI) 1.08-1.25, P = 0.0001). There was also significant association between PTT and heart failure hospitalisation (HR 1.15, 95% CI 1.02-1.29, P = 0.02) and moderate correlation between PTT and N-terminal pro B-type natriuretic peptide (NT-proBNP, r = 0.51, P < 0.001). PTT remained predictive of MACE after adjustment for clinical and imaging factors but was no longer significant once adjusted for NT-proBNP. CONCLUSIONS PTT measured automatically during CMR perfusion imaging in patients with recent onset non-ischaemic heart failure is predictive of MACE and in particular heart failure hospitalisation. PTT derived in this way may be a non-invasive marker of haemodynamic congestion in heart failure and future studies are required to establish if prolonged PTT identifies those who may warrant closer follow-up or medicine optimisation to reduce the risk of future adverse events.
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Affiliation(s)
- Jonathan Farley
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Louise Ae Brown
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Pankaj Garg
- Norwich Medical School, University of East Anglia, Norfolk, UK
| | - Ali Wahab
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Joel Rl Klassen
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Nicholas Jex
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Sharmaine Thirunavukarasu
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Amrit Chowdhary
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Noor Sharrack
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Miroslawa Gorecka
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Hui Xue
- National Institutes for Health, National Heart, Lung, and Blood Institute, Bethesda, USA
| | - Nigel Artis
- Department of Cardiology, Mid Yorkshire Hospitals NHS Trust, Wakefield, UK
| | - Eylem Levelt
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Erica Dall'Armellina
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Peter Kellman
- National Institutes for Health, National Heart, Lung, and Blood Institute, Bethesda, USA
| | - John P Greenwood
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Sven Plein
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK
| | - Peter P Swoboda
- Multidisciplinary Cardiovascular Research Centre, Department of Biomedical Imaging Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK.
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Li Y, Yang Z, Yin P, Gao X, Li L, Zhao Q, Zhen Y, Wang Y, Liu C. Quantitative analysis of abdominal aortic blood flow by 99mTc-DTPA renal scintigraphy in patients with heart failure. Ann Nucl Med 2024; 38:418-427. [PMID: 38466548 DOI: 10.1007/s12149-024-01912-w] [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: 09/25/2023] [Accepted: 02/05/2024] [Indexed: 03/13/2024]
Abstract
OBJECTIVE This study aimed to explore the characteristics of abdominal aortic blood flow in patients with heart failure (HF) using 99mTc-diethylenetriaminepentaacetic acid (DTPA) renal scintigraphy. We investigated the ability of renal scintigraphy to measure the cardiopulmonary transit time and assessed whether the time-to-peak of the abdominal aorta (TTPa) can distinguish between individuals with and without HF. METHODS We conducted a retrospective study that included 304 and 37 patients with and without HF (controls), respectively. All participants underwent 99mTc-DTPA renal scintigraphy. The time to peak from the abdominal aorta's first-pass time-activity curve was noted and compared between the groups. The diagnostic significance of TTPa for HF was ascertained through receiver operating characteristic (ROC) analysis and logistic regression. Factors influencing the TTPa were assessed using ordered logistic regression. RESULTS The HF group displayed a significantly prolonged TTPa than controls (18.5 [14, 27] s vs. 11 [11, 13] s). Among the HF categories, HF with reduced ejection fraction (HFrEF) exhibited the longest TTPa compared with HF with mildly reduced (HFmrEF) and preserved EF (HFpEF) (25 [17, 36.5] s vs. 17 [15, 23] s vs. 15 [11, 17] s) (P < 0.001). The ROC analysis had an area under the curve of 0.831, which underscored TTPa's independent diagnostic relevance for HF. The diagnostic precision was enhanced as left ventricular ejection fraction (LVEF) declined and HF worsened. Independent factors for TTPa included the left atrium diameter, LVEF, right atrium diameter, velocity of tricuspid regurgitation, and moderate to severe aortic regurgitation. CONCLUSIONS Based on 99mTc-DTPA renal scintigraphy, TTPa may be used as a straightforward and non-invasive tool that can effectively distinguish patients with and without HF.
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Affiliation(s)
- Yue Li
- Heart Failure Center, The First Hospital of Hebei Medical University, Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050031, Hebei, China
- Department of Cardiology, The Second Hospital of Hebei Medical University, 215 Heping Road, Shijiazhuang, 050000, Hebei, China
- Cardiovascular Research Center of Hebei Medical University, Shijiazhuang, 050000, Hebei, China
| | - Zhiqiang Yang
- Heart Failure Center, The First Hospital of Hebei Medical University, Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050031, Hebei, China
| | - Pei Yin
- Division of Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, Hebei, China
| | - Xian Gao
- Health Institute of The First Hospital of Hebei Medical University, Shijiazhuang, 050031, Hebei, China
| | - Lizhuo Li
- Heart Failure Center, The First Hospital of Hebei Medical University, Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050031, Hebei, China
| | - Qingzhen Zhao
- Heart Failure Center, The First Hospital of Hebei Medical University, Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050031, Hebei, China
| | - Yuzhi Zhen
- Heart Failure Center, The First Hospital of Hebei Medical University, Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050031, Hebei, China
| | - Yu Wang
- Heart Failure Center, The First Hospital of Hebei Medical University, Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050031, Hebei, China
| | - Chao Liu
- Heart Failure Center, The First Hospital of Hebei Medical University, Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050031, Hebei, China.
- Cardiovascular Research Center of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
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Opatřil L, Panovský R, Mojica-Pisciotti M, Krejčí J, Masárová L, Kincl V, Řehořková M, Špinarová L. Stress and Rest Pulmonary Transit Times Assessed by Cardiovascular Magnetic Resonance. Cardiol Rev 2024; 32:243-247. [PMID: 36728820 PMCID: PMC10994187 DOI: 10.1097/crd.0000000000000495] [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: 02/03/2023]
Abstract
Acquiring pulmonary circulation parameters as a potential marker of cardiopulmonary function is not new. Methods to obtain these parameters have been developed over time, with the latest being first-pass perfusion sequences in cardiovascular magnetic resonance (CMR). Even though more data on these parameters has been recently published, different nomenclature and acquisition methods are used across studies; some works even reported conflicting data. The most commonly used circulation parameters obtained using CMR include pulmonary transit time (PTT) and pulmonary transit beats (PTB). PTT is the time needed for a contrast agent (typically gadolinium-based) to circulate from the right ventricle (RV) to the left ventricle (LV). PTB is the number of cardiac cycles the process takes. Some authors also include corrected heart rate (HR) versions along with standard PTT. Besides other methods, CMR offers an option to assess stress circulation parameters, but data are minimal. This review aims to summarize the up-to-date findings and provide an overview of the latest progress on this promising, dynamically evolving topic.
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Affiliation(s)
- Lukáš Opatřil
- From the International Clinical Research Center and 1st Department of Internal Medicine/Cardioangiology at St. Anne's University Hospital, and Faculty of Medicine, Masaryk University, 656 91 Brno, Czech Republic
| | - Roman Panovský
- From the International Clinical Research Center and 1st Department of Internal Medicine/Cardioangiology at St. Anne's University Hospital, and Faculty of Medicine, Masaryk University, 656 91 Brno, Czech Republic
| | - Mary Mojica-Pisciotti
- International Clinical Research Center at St. Anne's University Hospital, 656 91 Brno, Czech Republic
| | - Jan Krejčí
- From the International Clinical Research Center and 1st Department of Internal Medicine/Cardioangiology at St. Anne's University Hospital, and Faculty of Medicine, Masaryk University, 656 91 Brno, Czech Republic
| | - Lucia Masárová
- From the International Clinical Research Center and 1st Department of Internal Medicine/Cardioangiology at St. Anne's University Hospital, and Faculty of Medicine, Masaryk University, 656 91 Brno, Czech Republic
| | - Vladimir Kincl
- From the International Clinical Research Center and 1st Department of Internal Medicine/Cardioangiology at St. Anne's University Hospital, and Faculty of Medicine, Masaryk University, 656 91 Brno, Czech Republic
| | - Magdalena Řehořková
- Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic; and 1st Department of Internal Medicine/Cardioangiology at St. Anne's University Hospital, and Faculty of Medicine, Masaryk University, 656 91 Brno, Czech Republic
| | - Lenka Špinarová
- International Clinical Research Center at St. Anne's University Hospital, 656 91 Brno, Czech Republic
- Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic; and 1st Department of Internal Medicine/Cardioangiology at St. Anne's University Hospital, and Faculty of Medicine, Masaryk University, 656 91 Brno, Czech Republic
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Kang S, Chen J, Zhang H, Li G, Liu Y, Mei X, Zhu B, Ai X, Jiang S. Pulmonary Transit Time Assessment by CEUS in Healthy Rabbits: Feasibility, and the Effects of UCAs Dilution Concentration. ULTRASONIC IMAGING 2024; 46:178-185. [PMID: 38622911 DOI: 10.1177/01617346241246169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
To evaluate the inter-observer variability and the intra-observer repeatability of pulmonary transit time (PTT) measurement using contrast-enhanced ultrasound (CEUS) in healthy rabbits, and assess the effects of dilution concentration of ultrasound contrast agents (UCAs) on PTT. Thirteen healthy rabbits were selected, and five concentrations UCAs of 1:200, 1:100, 1:50, 1:10, and 1:1 were injected into the right ear vein. Five digital loops were obtained from the apical 4-chamber view. Four sonographers obtained PTT by plotting the TIC of right atrium (RA) and left atrium (LA) at two time points (T1 and T2). The frame counts of the first appearance of UCAs in RA and LA had excellent inter-observer agreement, with intra-class correlations (ICC) of 0.996, 0.988, respectively. The agreement of PTT among four observers was all good at five different concentrations, with an ICC of 0.758-0.873. The reproducibility of PTT obtained by four observers at T1 and T2 was performed well, with ICC of 0.888-0.961. The median inter-observer variability across 13 rabbits was 6.5% and the median variability within 14 days for 4 observers was 1.9%, 1.7%, 2.2%, 1.9%, respectively; The PTT of 13 healthy rabbits is 1.01 ± 0.18 second. The difference of PTT between five concentrations is statistically significant. The PTT obtained by a concentration of 1:200 and 1:100 were higher than that of 1:1, while there were no significantly differences in PTT of a concentration of 1:1, 1:10, and 1:50. PTT measured by CEUS in rabbits is feasible, with excellent inter-observer and intra-observer reliability and reproducibility, and dilution concentration of UCAs influences PTT results.
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Affiliation(s)
- Song Kang
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
- Department of ultrasound, Chengdu Seventh People's Hospital (Affiliated Cancer Hospital of Chengdu Medical College), Chengdu, China
| | - Jianfeng Chen
- Laboratory Animal Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - He Zhang
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Guangyin Li
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Yingying Liu
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Xue Mei
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Binyang Zhu
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Xin Ai
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Shuangquan Jiang
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
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Liu H, Su Y, Shen J, Jiao Y, Li Y, Liu B, Hou X, Jin Q, Chen Y, Sun Z, Xi Q, Feng B, Fu Z. Improved heart function and cardiac remodelling following sacubitril/valsartan in acute coronary syndrome with HF. ESC Heart Fail 2024; 11:937-949. [PMID: 38224955 DOI: 10.1002/ehf2.14646] [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: 05/11/2022] [Revised: 09/30/2023] [Accepted: 12/09/2023] [Indexed: 01/17/2024] Open
Abstract
AIMS This study sought to assess the effect of treatment of sacubitril/valsartan (S/V) on improving cardiac function and reversing cardiac remodelling in patients with acute coronary syndrome (ACS) complicated with heart failure with reduced ejection fraction after percutaneous coronary intervention (PCI). METHODS AND RESULTS We enrolled 275 ACS patients with reduced left ventricular ejection fraction after PCI. The patients were divided into the routine and S/V groups according to the treatment drugs. The symptoms, N-terminal pro-brain natriuretic peptide (NT-proBNP) concentrations, echocardiographic parameters [left ventricular ejection fraction (LVEF), left ventricular mass index (LVMI), left ventricular end-diastolic volume index (LVEDVI), and left ventricular end-systolic volume index (LVESVI)], major adverse cardiac events (MACEs), and adverse reactions were recorded at baseline and 6 months after treatment when a clinical follow-up was performed. The S/V group was further divided into prespecified subgroups including unstable angina (UA) group, non-ST-elevation myocardial infarction (NSTEMI) group, and ST-elevation myocardial infarction (STEMI) group according to the type of ACS. We analysed the changes in LVEF, LVMI, LVEDVI, LVESVI, and NT-proBNP in both groups and evaluated the correlation between the changes in the above variables (ΔLVEF, ΔLVMI, ΔLVEDVI, ΔLVESVI, and ΔNT-proBNP). Cox regression model was used to assess the independent risk factors of MACE. Prespecified subgroup analyses were also conducted. Compared with baseline, LVEF increased significantly (P < 0.05), NT-proBNP, LVMI, and LVESVI decreased significantly in both groups after 6 months (P < 0.05), and LVEDVI decreased significantly in the S/V group (P = 0.001). In the S/V group, ΔLVEF (t = -2.745, P = 0.006), ΔNT-proBNP (P = 0.009), ΔLVEDVI (t = 4.203, P = 0.001), and ΔLVESVI (t = 3.907, P = 0.001) were significantly improved than those in the routine group. In the S/V group, ΔLVEF was negatively correlated with ΔNT-proBNP (r = -0.244, P = 0.004), ΔLVMI (r = -0.190, P = 0.028), ΔLVEDVI (r = -0.173, P = 0.045), and ΔLVESVI (r = -0.261, P = 0.002). In Cox regression model analysis, ΔLVEF {hazard ratio [HR] = 0.87 [95% confidence interval (CI) 0.80-0.95], P = 0.003}, ΔLVEDVI [HR = 1.04 (95% CI 1.01-1.06), P = 0.013], and ΔLVESVI [HR = 1.04 (95% CI 1.01-1.08), P = 0.026] were independent risk factors for MACE. Subgroup analysis showed that ΔLVEF (t = 6.290, P = 0.001), ΔLVEDVI (t = 2.581, P = 0.011), and ΔNT-proBNP (P = 0.019) in the NSTEMI group were significantly improved than those in the UA group, ΔLVEDVI in the NSTEMI group was significantly better than that in the STEMI group (t = -3.365, P = 0.001), and ΔLVEF in the STEMI group was significantly better than that in the UA group (t = -3.928, P = 0.001). There was a significant difference in the survival probability without MACE among the three groups in the analysis of the Kaplan-Meier curve (P = 0.042). The incidence of MACE in the UA group was significantly higher than that in the NSTEMI group (32.4% vs. 6.3%, P = 0.004). CONCLUSIONS The cardiac function is improved and cardiac remodelling is reversed significantly after treatment of S/V in ACS patients with reduced left ventricular ejection fraction after PCI, and the improvement is more obvious than the routine group. There is a significant negative correlation between the change in LVEF and the changes in NT-proBNP, LVMI, LVEDVI, and LVESVI. The increase of LVEF and the decrease of LVEDVI and LVESVI are protective factors to improve the prognosis. Patients with myocardial infarction and reduced left ventricular ejection fraction might benefit more from the initiation of S/V as first-line heart failure treatment after PCI.
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Affiliation(s)
- Henan Liu
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
- The 305 Hospital of PLA, Beijing, China
| | - Yongkang Su
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Jian Shen
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Yang Jiao
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Ying Li
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Bing Liu
- 970 Hospital of Chinese PLA Joint Logistic Support Force, Weihai, China
| | - Xiaoling Hou
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Qinhua Jin
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yundai Chen
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Zhijun Sun
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Qing Xi
- The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Bin Feng
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Zhenhong Fu
- Senior Department of Cardiology, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
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Jossart A, Gerber B, Houard L, Pilet B, O'Connor S, Gilles R. Distribution of normalized pulmonary transit time per pathology in a population of routine CMR examinations. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024; 40:149-156. [PMID: 37882960 DOI: 10.1007/s10554-023-02976-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 09/25/2023] [Indexed: 10/27/2023]
Abstract
Pulmonary transit time (PTT), defined as the time taken for a contrast agent bolus to pass from the right ventricle to the left ventricle, is a surrogate for non-invasive assessment of preload. It is used in several imaging modalities: pulmonary angiography, echocardiography and cardiac magnetic resonance (CMR). Many recent studies have highlighted the prognostic value of PTT. Therefore, we sought to evaluate PTT in a consecutive cohort of patients undergoing CMR. We retrospectively evaluated PTT normalised for heart rate in 278 patients (66% male, mean age 58 ± 11 years) who underwent CMR between August 2017 and November 2021 with a diagnosis of dilated cardiomyopathy, infarct, hypertrophy, valvular, myocarditis, other pathology or no pathology ("normal"). Normalised pulmonary transit time (nPTT) was higher in men than in women (8.4 ± 1.3 beats vs 7.5 ± 1.1 beats, p = 0.002) in the "normal" group. nPTT was moderately correlated with left ventricular end-diastolic volume (LVEDV) (r2 = 0.19; p < 0.001), left ventricular end-systolic volume (LVESV) (r2 = 0.34; p < 0.001) and left ventricular ejection fraction (LVEF) (r2 = 0.29; p < 0.001). nPTT was significantly higher in patients with dilated cardiomyopathy (11.3 ± 5.4 beats; p < 0.001), infarct (9.5 ± 2.9 beats; p < 0.001) or valvular heart disease (9.5 ± 3.1 beats; p = 0.006) than in patients included in the "normal" group (7.9 ± 1.3 beats). The nPTT is an important marker of pathology. Its value depends on sex and type of pathology, but it is not specific for any type of pathology.
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Affiliation(s)
- A Jossart
- Division of Cardiology, Cliniques Universitaires Saint-Luc, Bruxelles, Belgium.
| | - B Gerber
- Division of Cardiology, Cliniques Universitaires Saint-Luc, Bruxelles, Belgium
| | | | - B Pilet
- Centre Hospitalier de Wallonie Picarde, Tournai, Belgium
| | - S O'Connor
- Clinique et Permanence d'Onex, Genève, Switzerland
| | - R Gilles
- Centre Hospitalier de Wallonie Picarde, Tournai, Belgium
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8
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Cau R, Bassareo PP, Porcu M, Mannelli L, Cherchi V, Suri JS, Saba L. Pulmonary transit time as a marker of diastolic dysfunction in Takotsubo syndrome. Clin Radiol 2023; 78:e823-e830. [PMID: 37657970 DOI: 10.1016/j.crad.2023.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 06/04/2023] [Accepted: 06/15/2023] [Indexed: 09/03/2023]
Abstract
AIM To evaluate the pulmonary transit time (PTT) and its derived parameters using cardiac magnetic resonance imaging (CMRI) as markers of diastolic dysfunction in Takotsubo syndrome (TS) and its relationship with transthoracic echocardiography and CMRI parameters. MATERIALS AND METHODS Twenty-two patients with TS, who exhibited diastolic dysfunction as assessed by transthoracic echocardiography, were enrolled retrospectively and the PTT, pulmonary transit time index (PTTI), and pulmonary blood volume index (PBVI) were evaluated using first-pass CMRI. PTT was calculated as the number of cardiac cycles required for a bolus of contrast agent to move from the right ventricle (RV) to the left ventricle (LV), whereas PTTI represents the PTT interval corrected for the heart rate. Finally, PBVI was calculated as the product of PTTI, and RV stroke volume indexed for body surface area. Normal references of PTT, PTTI, and PBVI were evaluated in a cohort of 20 age- and sex-matched healthy controls. RESULTS Compared with healthy subjects, TS patients showed significantly higher PTT, PTTI, and PBVI (p=0.0001, p=0.0001, and p=0.002, respectively). Using multivariable logistic regression, PBVI provided the best differentiation between TS and controls (AUC 0.84). PBVI was significantly associated with the index of diastolic dysfunction and left atrial strain parameters. In addition, PBVI demonstrated a significant correlation with global T2 mapping (r=0,520, p=0,019). CONCLUSION PTT and the derived parameters, as assessed using first-pass CMRI, are potential tools for assessing LV diastolic dysfunction in patients with TS.
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Affiliation(s)
- R Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato (Cagliari) 09045, Italy
| | - P P Bassareo
- Mater Misericordiae University Hospital and Our Lady's Children's Hospital, University College of Dublin, Crumlin, Dublin, Republic of Ireland, USA
| | - M Porcu
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato (Cagliari) 09045, Italy
| | | | - V Cherchi
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato (Cagliari) 09045, Italy
| | - J S Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, USA
| | - L Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari - Polo di Monserrato s.s. 554 Monserrato (Cagliari) 09045, Italy.
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9
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Maltês S, Paiva MS, Santos RR, Rocha BML, Cunha GJL, Silva C, Guerreiro S, Freitas P, Abecasis J, Ferreira AM. Critical appraisal of a non-invasive model to derive pulmonary capillary wedge pressure from cardiac magnetic resonance in heart failure patients: insights from a large Portuguese Observational Study. EUROPEAN HEART JOURNAL. IMAGING METHODS AND PRACTICE 2023; 1:qyad017. [PMID: 39044784 PMCID: PMC11195800 DOI: 10.1093/ehjimp/qyad017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Affiliation(s)
- Sérgio Maltês
- Cardiology Department, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Lisbon, Portugal
| | - Mariana Sousa Paiva
- Cardiology Department, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Lisbon, Portugal
| | - Rita Reis Santos
- Cardiology Department, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Lisbon, Portugal
| | - Bruno M L Rocha
- Cardiology Department, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Lisbon, Portugal
| | - Gonçalo J L Cunha
- Cardiology Department, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Lisbon, Portugal
| | - Cláudia Silva
- Cardiology Department, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Lisbon, Portugal
| | - Sara Guerreiro
- Cardiology Department, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Lisbon, Portugal
| | - Pedro Freitas
- Cardiology Department, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Lisbon, Portugal
| | - João Abecasis
- Cardiology Department, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Lisbon, Portugal
- Faculdade de Ciências Médicas da Universidade Nova de Lisboa, Nova Medical School, Lisbon, Portugal
| | - António M Ferreira
- Cardiology Department, Hospital Santa Cruz, Centro Hospitalar Lisboa Ocidental, Av. Prof. Dr. Reinaldo dos Santos, 2790-134 Lisbon, Portugal
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10
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Segeroth M, Winkel DJ, Strebel I, Yang S, van der Stouwe JG, Formambuh J, Badertscher P, Cyriac J, Wasserthal J, Caobelli F, Madaffari A, Lopez-Ayala P, Zellweger M, Sauter A, Mueller C, Bremerich J, Haaf P. Pulmonary transit time of cardiovascular magnetic resonance perfusion scans for quantification of cardiopulmonary haemodynamics. Eur Heart J Cardiovasc Imaging 2023:6994365. [PMID: 36662127 PMCID: PMC10364617 DOI: 10.1093/ehjci/jead001] [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: 09/30/2022] [Accepted: 12/26/2022] [Indexed: 01/21/2023] Open
Abstract
AIMS Pulmonary transit time (PTT) is the time blood takes to pass from the right ventricle to the left ventricle via pulmonary circulation. We aimed to quantify PTT in routine cardiovascular magnetic resonance imaging perfusion sequences. PTT may help in the diagnostic assessment and characterization of patients with unclear dyspnoea or heart failure (HF). METHODS AND RESULTS We evaluated routine stress perfusion cardiovascular magnetic resonance scans in 352 patients, including an assessment of PTT. Eighty-six of these patients also had simultaneous quantification of N-terminal pro-brain natriuretic peptide (NTproBNP). NT-proBNP is an established blood biomarker for quantifying ventricular filling pressure in patients with presumed HF. Manually assessed PTT demonstrated low inter-rater variability with a correlation between raters >0.98. PTT was obtained automatically and correctly in 266 patients using artificial intelligence. The median PTT of 182 patients with both left and right ventricular ejection fraction >50% amounted to 6.8 s (Pulmonary transit time: 5.9-7.9 s). PTT was significantly higher in patients with reduced left ventricular ejection fraction (<40%; P < 0.001) and right ventricular ejection fraction (<40%; P < 0.0001). The area under the receiver operating characteristics curve (AUC) of PTT for exclusion of HF (NT-proBNP <125 ng/L) was 0.73 (P < 0.001) with a specificity of 77% and sensitivity of 70%. The AUC of PTT for the inclusion of HF (NT-proBNP >600 ng/L) was 0.70 (P < 0.001) with a specificity of 78% and sensitivity of 61%. CONCLUSION PTT as an easily, even automatically obtainable and robust non-invasive biomarker of haemodynamics might help in the evaluation of patients with dyspnoea and HF.
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Affiliation(s)
- Martin Segeroth
- Department of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - David Jean Winkel
- Department of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Ivo Strebel
- Department of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Shan Yang
- Department of Research and Analysis, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Jan Gerrit van der Stouwe
- Department of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Jude Formambuh
- Department of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Patrick Badertscher
- Department of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Joshy Cyriac
- Department of Research and Analysis, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Jakob Wasserthal
- Department of Research and Analysis, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Federico Caobelli
- Department of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Antonio Madaffari
- Department of Cardiology, University Hospital Bern, Freiburgstrasse 18, 3010 Bern, Switzerland
| | - Pedro Lopez-Ayala
- Department of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Michael Zellweger
- Department of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Alexander Sauter
- Department of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Christian Mueller
- Department of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Jens Bremerich
- Department of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Philip Haaf
- Department of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland
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11
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Prognostic value of pulmonary transit time by cardiac magnetic resonance imaging in ST-elevation myocardial infarction. Eur Radiol 2023; 33:1219-1228. [PMID: 35980426 PMCID: PMC9889516 DOI: 10.1007/s00330-022-09050-5] [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: 06/03/2022] [Revised: 07/04/2022] [Accepted: 07/24/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVES To investigate the prognostic value of pulmonary transit time (pTT) determined by cardiac magnetic resonance (CMR) after acute ST-segment-elevation myocardial infarction (STEMI). METHODS Comprehensive CMR examinations were performed in 207 patients 3 days and 4 months after reperfused STEMI. Functional parameters and infarct characteristics were assessed. PTT was defined as the interval between peaks of gadolinium contrast time-intensity curves in the right and left ventricles in first-pass perfusion imaging. Cox regression models were calculated to assess the association between pTT and the occurrence of major adverse cardiac events (MACE), defined as a composite of death, re-infarction, and congestive heart failure. RESULTS PTT was 8.6 s at baseline and 7.8 s at the 4-month CMR. In Cox regression, baseline pTT (hazard ratio [HR]: 1.58; 95% CI: 1.12 to 2.22; p = 0.009) remained significantly associated with MACE occurrence after adjustment for left ventricular ejection fraction (LVEF) and cardiac index. The association of pTT and MACE remained significant also after adjusting for infarct size and microvascular obstruction size. In Kaplan-Meier analysis, pTT ≥ 9.6 s was associated with MACE (p < 0.001). Addition of pTT to LVEF resulted in a categorical net reclassification improvement of 0.73 (95% CI: 0.27 to 1.20; p = 0.002) and integrated discrimination improvement of 0.07 (95% CI: 0.02 to 0.13; p = 0.007). CONCLUSIONS After reperfused STEMI, CMR-derived pTT was associated with hard clinical events with prognostic information independent of and incremental to infarct size and LV systolic function. KEY POINTS • Pulmonary transit time is the duration it takes the heart to pump blood from the right chambers across lung vessels to the left chambers. • This prospective single-centre study showed inferior outcome in patients with prolonged pulmonary transit time after myocardial infarction. • Pulmonary transit time assessed by magnetic resonance imaging added incremental information to established prognostic markers.
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12
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Ricci F, Khanji MY, Garg P. Editorial for "Corrected MRI Pulmonary Transit Time for Identification of Combined Pre and PostCapillary Pulmonary Hypertension in Patients With Left Heart Disease". J Magn Reson Imaging 2022; 57:1529-1530. [PMID: 36029232 DOI: 10.1002/jmri.28411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 08/11/2022] [Indexed: 11/07/2022] Open
Affiliation(s)
- Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Fondazione Villa Serena per la Ricerca, Città Sant'Angelo, Italy
| | - Mohammed Y Khanji
- Newham University Hospital, Barts Health NHS Trust, London, UK.,Barts Heart Centre, Barts Health NHS Trust, London, UK.,NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Pankaj Garg
- Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.,Norwich Medical School, University of East Anglia, Norwich, UK.,Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
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13
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Assadi H, Alabed S, Maiter A, Salehi M, Li R, Ripley DP, Van der Geest RJ, Zhong Y, Zhong L, Swift AJ, Garg P. The Role of Artificial Intelligence in Predicting Outcomes by Cardiovascular Magnetic Resonance: A Comprehensive Systematic Review. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58081087. [PMID: 36013554 PMCID: PMC9412853 DOI: 10.3390/medicina58081087] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/28/2022] [Accepted: 08/06/2022] [Indexed: 11/16/2022]
Abstract
Background and Objectives: Interest in artificial intelligence (AI) for outcome prediction has grown substantially in recent years. However, the prognostic role of AI using advanced cardiac magnetic resonance imaging (CMR) remains unclear. This systematic review assesses the existing literature on AI in CMR to predict outcomes in patients with cardiovascular disease. Materials and Methods: Medline and Embase were searched for studies published up to November 2021. Any study assessing outcome prediction using AI in CMR in patients with cardiovascular disease was eligible for inclusion. All studies were assessed for compliance with the Checklist for Artificial Intelligence in Medical Imaging (CLAIM). Results: A total of 5 studies were included, with a total of 3679 patients, with 225 deaths and 265 major adverse cardiovascular events. Three methods demonstrated high prognostic accuracy: (1) three-dimensional motion assessment model in pulmonary hypertension (hazard ratio (HR) 2.74, 95%CI 1.73−4.34, p < 0.001), (2) automated perfusion quantification in patients with coronary artery disease (HR 2.14, 95%CI 1.58−2.90, p < 0.001), and (3) automated volumetric, functional, and area assessment in patients with myocardial infarction (HR 0.94, 95%CI 0.92−0.96, p < 0.001). Conclusion: There is emerging evidence of the prognostic role of AI in predicting outcomes for three-dimensional motion assessment in pulmonary hypertension, ischaemia assessment by automated perfusion quantification, and automated functional assessment in myocardial infarction.
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Affiliation(s)
- Hosamadin Assadi
- Department of Medicine, Norwich Medical School, University of East Anglia, Norfolk NR4 7TJ, UK
- Department of Cardiology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK
| | - Samer Alabed
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield S10 2RX, UK
- Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK
| | - Ahmed Maiter
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield S10 2RX, UK
- Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK
| | - Mahan Salehi
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield S10 2RX, UK
- Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK
| | - Rui Li
- Department of Medicine, Norwich Medical School, University of East Anglia, Norfolk NR4 7TJ, UK
- Department of Cardiology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK
| | - David P. Ripley
- Northumbria Healthcare Foundation Trust, Northumbria Specialist Care Emergency Hospital, Northumbria Way, Northumberland NE23 6NZ, UK
| | - Rob J. Van der Geest
- Department of Radiology, Division of Image Processing, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Yumin Zhong
- Department of Radiology, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dong Fang Rd., Shanghai 200127, China
| | - Liang Zhong
- National Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore 169609, Singapore
- Cardiovascular Sciences, Duke-NUS Medical School, 8 College Road, Singapore 169856, Singapore
| | - Andrew J. Swift
- Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield S10 2RX, UK
- Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK
| | - Pankaj Garg
- Department of Medicine, Norwich Medical School, University of East Anglia, Norfolk NR4 7TJ, UK
- Department of Cardiology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk NR4 7UY, UK
- Correspondence:
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14
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Papanastasiou CA, Bazmpani MA, Kokkinidis DG, Zegkos T, Efthimiadis G, Tsapas A, Karvounis H, Ziakas A, Kalogeropoulos AP, Kramer CM, Karamitsos TD. The prognostic value of right ventricular ejection fraction by cardiovascular magnetic resonance in heart failure: A systematic review and meta-analysis. Int J Cardiol 2022; 368:94-103. [PMID: 35961612 DOI: 10.1016/j.ijcard.2022.08.008] [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: 05/16/2022] [Revised: 06/29/2022] [Accepted: 08/04/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Cardiac magnetic resonance (CMR) is considered the gold standard for the assessment of right ventricular ejection fraction (RVEF). Previous studies have suggested that RVEF may be a predictor of adverse outcomes in heart failure (HF). In this study, we aimed to systematically review the prognostic value of RVEF, evaluated by CMR, across the spectrum of left ventricular systolic function in patients with HF. METHODS Electronic databases were searched for studies investigating the prognostic value of RVEF in HF, irrespective of left ventricular ejection fraction (LVEF). A random-effects meta-analysis was conducted for mortality and HF hospitalization. Subgroup analyses were also performed based on the presence of reduced (<50%) or preserved LVEF (≥50%). RESULTS In total, 46 studies enrolling 14,344 patients were included. In the pooled analyses, impaired RVEF was a powerful predictor of mortality (HR: 1.26, 95% CI: 1.18-1.33, I2: 13%, per 10% decrease in RVEF) and death or HF hospitalization (HR: 1.31, 95% Cl: 1.2-1.42, I2: 27%, per 10% decrease in RVEF). A decrease in RVEF was strongly associated with increased risk of mortality or hospitalization both in HF with reduced EF (HR: 1.24, 95% CI: 1.13-1.36, I2: 2%, per 10% decrease in RVEF) and in HF with preserved EF (HR: 1.24, 95% CI: 1.09-1.40, I2: 0%, per 10% decrease in RVEF). CONCLUSION Impaired RVEF on CMR strongly predicts adverse outcomes in patients with HF regardless of LVEF. RV systolic function should be carefully evaluated in these patients. Prospero Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021256967.
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Affiliation(s)
- Christos A Papanastasiou
- Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Maria-Anna Bazmpani
- Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Damianos G Kokkinidis
- Section of Cardiovascular Medicine, Yale University/Yale New Haven Hospital, New Haven, CT, USA
| | - Thomas Zegkos
- Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Georgios Efthimiadis
- Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Apostolos Tsapas
- Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece; Harris Manchester College, University of Oxford, Oxford, UK
| | - Haralambos Karvounis
- Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Antonios Ziakas
- Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Andreas P Kalogeropoulos
- Division of Cardiology, Department of Medicine, Stony Brook University, Stony Brook, New York, USA
| | - Christopher M Kramer
- Department of Medicine (Cardiovascular Division), University of Virginia Health System, Charlottesville, VA, USA
| | - Theodoros D Karamitsos
- Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
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15
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Guo X, Gong C, Song R, Wan K, Han Y, Chen Y. First-pass perfusion cardiovascular magnetic resonance parameters as surrogate markers for left ventricular diastolic dysfunction: a validation against cardiac catheterization. Eur Radiol 2022; 32:8131-8139. [PMID: 35779091 DOI: 10.1007/s00330-022-08938-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/25/2022] [Accepted: 05/30/2022] [Indexed: 02/05/2023]
Abstract
OBJECTIVES The non-invasive assessment of left ventricular (LV) diastolic dysfunction remains a challenge. The role of first-pass perfusion cardiac magnetic resonance (CMR) parameters in quantitative hemodynamic analyses has been reported. We therefore aimed to validate the diagnostic ability and accuracy of such parameters against cardiac catheterization for LV diastolic dysfunction in patients with left heart disease (LHD). METHODS We retrospectively enrolled 77 LHD patients who underwent CMR imaging and cardiac catheterization. LV diastolic dysfunction was defined as pulmonary capillary wedge pressure (PCWP) or LV end-diastolic pressure (LVEDP) > 12 mmHg on catheterization. On first-pass perfusion CMR imaging, pulmonary transit time (PTT) was measured as the time for blood to pass from the left ventricle to the right ventricle (RV) through the pulmonary vasculature. Pulmonary transit beat (PTB) was the number of cardiac cycles within the interval, and pulmonary blood volume indexed to body surface area (PBVi) was the product of PTB and RV stroke volume index (RVSVi). RESULTS Of the 77 LHD patients, 53 (68.83%) were found to have LV diastolic dysfunction, and showed significantly higher PTTc, PTB, and PBVi (p < 0.05) compared with those without. In multivariate analyses, only PTTc and PTB were identified as independent predictors of LV diastolic dysfunction (p < 0.05). With an optimal cutoff of 11.9 s, PTTc yielded the best diagnostic performance for LV diastolic dysfunction (area under the curve = 0.83, p < 0.001). CONCLUSIONS PTTc may represent a non-invasive quantitative surrogate marker for the detection and assessment of diastolic dysfunction in LHD patients. KEY POINTS • PTTc yielded the best diagnostic accuracy for diastolic dysfunction, with an optimal cutoff of 11.9 s, and a specificity of 100%. • PTTc and PTB were found to be independent predictors of LV diastolic dysfunction across different multivariate models with high reproducibility. • PTTc is a promising non-invasive surrogate marker for the detection and assessment of diastolic dysfunction in LHD patients.
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Affiliation(s)
- Xinli Guo
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, China
| | - Chao Gong
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, China
| | - Rizhen Song
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, China
| | - Ke Wan
- Department of Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, China
| | - Yuchi Han
- Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, PA, USA
| | - Yucheng Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, China.
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16
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Yang X, Shao G, Zhang Y, Wang W, Qi Y, Han S, Li H. Applications of Magnetic Particle Imaging in Biomedicine: Advancements and Prospects. Front Physiol 2022; 13:898426. [PMID: 35846005 PMCID: PMC9285659 DOI: 10.3389/fphys.2022.898426] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 05/16/2022] [Indexed: 01/09/2023] Open
Abstract
Magnetic particle imaging (MPI) is a novel emerging noninvasive and radiation-free imaging modality that can quantify superparamagnetic iron oxide nanoparticles tracers. The zero endogenous tissue background signal and short image scanning times ensure high spatial and temporal resolution of MPI. In the context of precision medicine, the advantages of MPI provide a new strategy for the integration of the diagnosis and treatment of diseases. In this review, after a brief explanation of the simplified theory and imaging system, we focus on recent advances in the biomedical application of MPI, including vascular structure and perfusion imaging, cancer imaging, the MPI guidance of magnetic fluid hyperthermia, the visual monitoring of cell and drug treatments, and intraoperative navigation. We finally optimize MPI in terms of the system and tracers, and present future potential biomedical applications of MPI.
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Affiliation(s)
- Xue Yang
- Beijing You’an Hospital, Capital Medical University, Beijing, China
| | | | - Yanyan Zhang
- Beijing You’an Hospital, Capital Medical University, Beijing, China
| | - Wei Wang
- Beijing You’an Hospital, Capital Medical University, Beijing, China
| | - Yu Qi
- Beijing You’an Hospital, Capital Medical University, Beijing, China
| | - Shuai Han
- Beijing You’an Hospital, Capital Medical University, Beijing, China
| | - Hongjun Li
- Beijing You’an Hospital, Capital Medical University, Beijing, China,*Correspondence: Hongjun Li,
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17
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Opatřil L, Panovsky R, Mojica-Pisciotti M, Máchal J, Krejčí J, Holeček T, Masárová L, Feitová V, Godava J, Kincl V, Kepák T, Závodná G, Špinarová L. Stress pulmonary circulation parameters assessed by a cardiovascular magnetic resonance in patients after a heart transplant. Sci Rep 2022; 12:6130. [PMID: 35414701 PMCID: PMC9005501 DOI: 10.1038/s41598-022-09739-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 03/21/2022] [Indexed: 11/09/2022] Open
Abstract
Rest pulmonary circulation parameters such as pulmonary transit time (PTT), heart rate corrected PTT (PTTc) and pulmonary transit beats (PTB) can be evaluated using several methods, including the first-pass perfusion from cardiovascular magnetic resonance. As previously published, up to 58% of patients after HTx have diastolic dysfunction detectable only in stress conditions. By using adenosine stress perfusion images, stress analogues of the mentioned parameters can be assessed. By dividing stress to rest biomarkers, potential new ratio parameters (PTT ratio and PTTc ratio) can be obtained. The objectives were to (1) provide more evidence about stress pulmonary circulation biomarkers, (2) present stress to rest ratio parameters, and (3) assess these biomarkers in patients with presumed diastolic dysfunction after heart transplant (HTx) and in childhood cancer survivors (CCS) without any signs of diastolic dysfunction. In this retrospective study, 48 patients after HTx, divided into subgroups based on echocardiographic signs of diastolic dysfunction (41 without, 7 with) and 39 CCS were enrolled. PTT was defined as the difference between the onset time of the signal intensity increase in the left and the right ventricle. PTT in rest conditions were without significant differences when comparing the CCS and HTx subgroup without diastolic dysfunction (4.96 ± 0.93 s vs. 5.51 ± 1.14 s, p = 0.063) or with diastolic dysfunction (4.96 ± 0.93 s vs. 6.04 ± 1.13 s, p = 0.13). However, in stress conditions, both PTT and PTTc were significantly lower in the CCS group than in the HTx subgroups, (PTT: 3.76 ± 0.78 s vs. 4.82 ± 1.03 s, p < 0.001; 5.52 ± 1.56 s, p = 0.002). PTT ratio and PTTc ratio were below 1 in all groups. In conclusion, stress pulmonary circulation parameters obtained from CMR showed prolonged PTT and PTTc in HTx groups compared to CCS, which corresponds with the presumption of underlying diastolic dysfunction. The ratio parameters were less than 1.
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Affiliation(s)
- Lukáš Opatřil
- First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital, Pekarska 53, 656 91, Brno, Czech Republic.,International Clinical Research Centre, St. Anne's University Hospital, Brno, Czech Republic.,Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Roman Panovsky
- First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital, Pekarska 53, 656 91, Brno, Czech Republic. .,International Clinical Research Centre, St. Anne's University Hospital, Brno, Czech Republic. .,Faculty of Medicine, Masaryk University, Brno, Czech Republic. .,First Department of Internal Medicine and Cardioangiology, International Clinical Research Centre, Faculty of Medicine, Masaryk University, St. Anne's University Hospital, Brno, Czech Republic.
| | - Mary Mojica-Pisciotti
- International Clinical Research Centre, St. Anne's University Hospital, Brno, Czech Republic
| | - Jan Máchal
- International Clinical Research Centre, St. Anne's University Hospital, Brno, Czech Republic.,Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Jan Krejčí
- First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital, Pekarska 53, 656 91, Brno, Czech Republic.,Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Tomáš Holeček
- International Clinical Research Centre, St. Anne's University Hospital, Brno, Czech Republic.,Department of Medical Imaging, St. Anne's University Hospital, Brno, Czech Republic
| | - Lucia Masárová
- First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital, Pekarska 53, 656 91, Brno, Czech Republic.,International Clinical Research Centre, St. Anne's University Hospital, Brno, Czech Republic.,Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Věra Feitová
- International Clinical Research Centre, St. Anne's University Hospital, Brno, Czech Republic.,Department of Medical Imaging, St. Anne's University Hospital, Brno, Czech Republic
| | - Július Godava
- First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital, Pekarska 53, 656 91, Brno, Czech Republic
| | - Vladimír Kincl
- First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital, Pekarska 53, 656 91, Brno, Czech Republic.,International Clinical Research Centre, St. Anne's University Hospital, Brno, Czech Republic.,Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Tomáš Kepák
- International Clinical Research Centre, St. Anne's University Hospital, Brno, Czech Republic.,Department of Paediatric Oncology, University Hospital Brno, Brno, Czech Republic
| | | | - Lenka Špinarová
- First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital, Pekarska 53, 656 91, Brno, Czech Republic.,Faculty of Medicine, Masaryk University, Brno, Czech Republic
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18
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Surkova E, Cosyns B, Gerber B, Gimelli A, La Gerche A, Ajmone Marsan N. OUP accepted manuscript. Eur Heart J Cardiovasc Imaging 2022; 23:885-897. [PMID: 35234853 PMCID: PMC9212350 DOI: 10.1093/ehjci/jeac037] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 02/09/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Elena Surkova
- Cardiac Division, Department of Echocardiography, Royal Brompton Hospital, Part of Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Bernard Cosyns
- Department of Cardiology, Brussels University Hospital, Brussels, Belgium
| | - Bernhard Gerber
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Av Hippocrate, 10/2806 Brussels, Belgium
| | - Alessia Gimelli
- Fondazione Toscana Gabriele Monasterio, Via Moruzzi, 1, Pisa 56124, Italy
| | - Andre La Gerche
- Clinical Research Domain, Baker Heart and Diabetes Institute, Melbourne, Australia
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19
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Seraphim A, Knott KD, Menacho K, Augusto JB, Davies R, Pierce I, Joy G, Bhuva AN, Xue H, Treibel TA, Cooper JA, Petersen SE, Fontana M, Hughes AD, Moon JC, Manisty C, Kellman P. Prognostic Value of Pulmonary Transit Time and Pulmonary Blood Volume Estimation Using Myocardial Perfusion CMR. JACC Cardiovasc Imaging 2021; 14:2107-2119. [PMID: 34023269 PMCID: PMC8560640 DOI: 10.1016/j.jcmg.2021.03.029] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 03/19/2021] [Accepted: 03/26/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVES The purpose of this study was to explore the prognostic significance of PTT and PBVi using an automated, inline method of estimation using CMR. BACKGROUND Pulmonary transit time (PTT) and pulmonary blood volume index (PBVi) (the product of PTT and cardiac index), are quantitative biomarkers of cardiopulmonary status. The development of cardiovascular magnetic resonance (CMR) quantitative perfusion mapping permits their automated derivation, facilitating clinical adoption. METHODS In this retrospective 2-center study of patients referred for clinical myocardial perfusion assessment using CMR, analysis of right and left ventricular cavity arterial input function curves from first pass perfusion was performed automatically (incorporating artificial intelligence techniques), allowing estimation of PTT and subsequent derivation of PBVi. Association with major adverse cardiovascular events (MACE) and all-cause mortality were evaluated using Cox proportional hazard models, after adjusting for comorbidities and CMR parameters. RESULTS A total of 985 patients (67% men, median age 62 years [interquartile range (IQR): 52 to 71 years]) were included, with median left ventricular ejection fraction (LVEF) of 62% (IQR: 54% to 69%). PTT increased with age, male sex, atrial fibrillation, and left atrial area, and reduced with LVEF, heart rate, diabetes, and hypertension (model r2 = 0.57). Over a median follow-up period of 28.6 months (IQR: 22.6 to 35.7 months), MACE occurred in 61 (6.2%) patients. After adjusting for prognostic factors, both PTT and PBVi independently predicted MACE, but not all-cause mortality. There was no association between cardiac index and MACE. For every 1 × SD (2.39-s) increase in PTT, the adjusted hazard ratio for MACE was 1.43 (95% confidence interval [CI]: 1.10 to 1.85; p = 0.007). The adjusted hazard ratio for 1 × SD (118 ml/m2) increase in PBVi was 1.42 (95% CI: 1.13 to 1.78; p = 0.002). CONCLUSIONS Pulmonary transit time (and its derived parameter pulmonary blood volume index), measured automatically without user interaction as part of CMR perfusion mapping, independently predicted adverse cardiovascular outcomes. These biomarkers may offer additional insights into cardiopulmonary function beyond conventional predictors including ejection fraction.
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Affiliation(s)
- Andreas Seraphim
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Kristopher D Knott
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Katia Menacho
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Joao B Augusto
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Rhodri Davies
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Iain Pierce
- Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - George Joy
- Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Anish N Bhuva
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Hui Xue
- National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, Bethesda, Maryland, USA
| | - Thomas A Treibel
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Jackie A Cooper
- William Harvey Research Institute, Queen Mary University of London, United Kingdom
| | - Steffen E Petersen
- Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom; William Harvey Research Institute, Queen Mary University of London, United Kingdom
| | - Marianna Fontana
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom; Royal Free Hospital, Pond Street, London, United Kingdom
| | - Alun D Hughes
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom
| | - James C Moon
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Charlotte Manisty
- Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom.
| | - Peter Kellman
- National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, Bethesda, Maryland, USA.
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20
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Nelsson A, Kanski M, Engblom H, Ugander M, Carlsson M, Arheden H. Pulmonary blood volume measured by cardiovascular magnetic resonance: influence of pulmonary transit time methods and left atrial volume. J Cardiovasc Magn Reson 2021; 23:123. [PMID: 34706735 PMCID: PMC8554972 DOI: 10.1186/s12968-021-00809-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 08/30/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Increased pulmonary blood volume (PBV) is a measure of congestion and is associated with an increased risk of cardiovascular events. PBV can be quantified using cardiovascular magnetic resonance (CMR) imaging as the product of cardiac output and pulmonary transit time (PTT), the latter measured from the contrast time-intensity curves in the right and left side of the heart from first-pass perfusion (FPP). Several methods of estimating PTT exist, including pulmonary transit beats (PTB), peak-to-peak, and center of gravity (CoG). The aim of this study was to determine the accuracy and precision for these methods of quantifying the PBV, taking the left atrium volume (LAV) into consideration. METHODS Fifty-eight participants (64 ± 11 years, 24 women) underwent 1.5 T CMR. PTT was quantified from (1) a basal left ventricular short-axis image (FPP), and (2) the reference method with a separate contrast administration using an image intersecting the pulmonary artery (PA) and the LA (CoG(PA-LA)). RESULTS Compared to the reference, PBV for (a) PTB(FPP) was 14 ± 17% larger, (b) peak-peak(FPP) was 17 ± 16% larger, and (c) CoG(FPP) was 18 ± 10% larger. Subtraction of the LAV (available for n = 50) decreased overall differences to - 1 ± 19%, 2 ± 18%, and 3 ± 12% for PTB(FPP), peak-peak(FPP), and CoG(FPP), respectively. Lowest interobserver variability was seen for CoG(FPP) (- 2 ± 7%). CONCLUSIONS CoG(PA-LA) and FPP methods measured the same PBV only when adjusting for the LAV, since FPP inherently quantifies a volume consisting of PBV + LAV. CoG(FPP) had the best precision and lowest interobserver variability among the FPP methods of measuring PBV.
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Affiliation(s)
- Anders Nelsson
- Clinical Physiology, Department of Clinical Sciences Lund, Skåne University Hospital, Lund University, Lund, Sweden
| | - Mikael Kanski
- Clinical Physiology, Department of Clinical Sciences Lund, Skåne University Hospital, Lund University, Lund, Sweden
| | - Henrik Engblom
- Clinical Physiology, Department of Clinical Sciences Lund, Skåne University Hospital, Lund University, Lund, Sweden
| | - Martin Ugander
- Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden
- Kolling Institute, Royal North Shore Hospital, and Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Marcus Carlsson
- Clinical Physiology, Department of Clinical Sciences Lund, Skåne University Hospital, Lund University, Lund, Sweden
| | - Håkan Arheden
- Clinical Physiology, Department of Clinical Sciences Lund, Skåne University Hospital, Lund University, Lund, Sweden
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21
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Ceriello L, Scarinci A, Mantini C, Gallina S, Cademartiri F, De Gaspari M, Rizzo S, Ricci F. Massive necrotizing myocarditis in a young patient with idiopathic hypereosinophilic syndrome. IMAGING 2021. [DOI: 10.1556/1647.2021.00040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Abstract
A 27-years-old female with multiple autoimmune disorders presented to our cardiology unit for acute chest pain and worsening dyspnoea. Admission blood tests revealed increased serum levels of high-sensitive cardiac troponin, eosinophilic count and C-reactive protein. Laboratory findings, low QRS voltages by ECG, mildly reduced left ventricular systolic function in the context of pseudohypertrophy, mild and diffuse late gadolinium enhancement associated with markedly increased native T1 and T2 mapping levels assessed by echocardiography and cardiovascular magnetic resonance imaging, raised the suspicion of massive eosinophilic myocarditis, subsequently confirmed by histological examination of endomyocardial biopsy. Prompt initiation of immunosuppressive treatment allowed swift regression of myocardial inflammation and full recovery of left ventricular systolic function within one month. After ruling-out clonal myeloid disorder, lymphocyte-variant and reactive hypereosinophilia, the young lady was eventually diagnosed with idiopathic hypereosinophilic syndrome. This case report turns the spotlight on the role and importance of advanced multi-modality cardiovascular imaging for raising clinical suspicion of acute eosinophilic myocarditis, guiding diagnostic work-up and monitoring response to treatment.
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Affiliation(s)
- Laura Ceriello
- 1 Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Italy
| | - Antonino Scarinci
- 2 Intensive Cardiac Care Unit, Heart Department, SS. Annunziata Hospital, Chieti, Italy
| | - Cesare Mantini
- 1 Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Italy
| | - Sabina Gallina
- 1 Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Italy
| | | | - Monica De Gaspari
- 4 Cardiovascular Pathology, Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Stefania Rizzo
- 4 Cardiovascular Pathology, Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Fabrizio Ricci
- 1 Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Italy
- 5 Department of Clinical Sciences, Lund University, Malmö, Sweden
- 6 Casa di Cura Villa Serena, Città Sant'Angelo, Pescara, Italy
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22
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Ricci F, Aung N, Thomson R, Boubertakh R, Camaioni C, Doimo S, Sanghvi MM, Fung K, Khanji MY, Lee A, Malcolmson J, Mantini C, Paiva J, Gallina S, Fedorowski A, Mohiddin SA, Aquaro GD, Petersen SE. Pulmonary blood volume index as a quantitative biomarker of haemodynamic congestion in hypertrophic cardiomyopathy. Eur Heart J Cardiovasc Imaging 2021; 20:1368-1376. [PMID: 31504370 PMCID: PMC6868494 DOI: 10.1093/ehjci/jez213] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 04/01/2019] [Accepted: 08/21/2019] [Indexed: 12/24/2022] Open
Abstract
Aims The non-invasive assessment of left ventricular (LV) diastolic function and filling pressure in hypertrophic cardiomyopathy (HCM) is still an open issue. Pulmonary blood volume index (PBVI) by cardiovascular magnetic resonance (CMR) has been proposed as a quantitative biomarker of haemodynamic congestion. We aimed to assess the diagnostic accuracy of PBVI for left atrial pressure (LAP) estimation in patients with HCM. Methods and results We retrospectively identified 69 consecutive HCM outpatients (age 58 ± 11 years; 83% men) who underwent both transthoracic echocardiography (TTE) and CMR. Guideline-based detection of LV diastolic dysfunction was assessed by TTE, blinded to CMR results. PBVI was calculated as the product of right ventricular stroke volume index and the number of cardiac cycles for a bolus of gadolinium to pass through the pulmonary circulation as assessed by first-pass perfusion imaging. Compared to patients with normal LAP, patients with increased LAP showed significantly larger PBVI (463 ± 127 vs. 310 ± 86 mL/m2, P < 0.001). PBVI increased progressively with worsening New York Heart Association functional class and echocardiographic stages of diastolic dysfunction (P < 0.001 for both). At the best cut-off point of 413 mL/m2, PBVI yielded good diagnostic accuracy for the diagnosis of LV diastolic dysfunction with increased LAP [C-statistic = 0.83; 95% confidence interval (CI): 0.73–0.94]. At multivariable logistic regression analysis, PBVI was an independent predictor of increased LAP (odds ratio per 10% increase: 1.97, 95% CI: 1.06–3.68; P = 0.03). Conclusion PBVI is a promising CMR application for assessment of diastolic function and LAP in patients with HCM and may serve as a quantitative marker for detection, grading, and monitoring of haemodynamic congestion.
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Affiliation(s)
- Fabrizio Ricci
- Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University, Via Luigi Polacchi, 11 - 66100 Chieti, Italy.,William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK.,Department of Clinical Sciences, Lund University, Skåne University Hospital, SE-205 02 Malmö, Sweden.,Fondazione Villa Serena per la Ricerca, Viale Leonardo Petruzzi, 42 - 65013 Città Sant'Angelo, Italy
| | - Nay Aung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Ross Thomson
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Redha Boubertakh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Claudia Camaioni
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Sara Doimo
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK.,Cardiovascular Department, Azienda Sanitaria Universitaria Integrata, University of Trieste, via Pietro Valdoni, 7 - 34149 Trieste, Italy
| | - Mihir M Sanghvi
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Kenneth Fung
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Mohammed Y Khanji
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Aaron Lee
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - James Malcolmson
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Cesare Mantini
- Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University, Via Luigi Polacchi, 11 - 66100 Chieti, Italy
| | - José Paiva
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Sabina Gallina
- Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University, Via Luigi Polacchi, 11 - 66100 Chieti, Italy
| | - Artur Fedorowski
- Department of Clinical Sciences, Lund University, Skåne University Hospital, SE-205 02 Malmö, Sweden
| | - Saidi A Mohiddin
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | | | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
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23
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Ricci F, Khanji MY. Harnessing Artificial Intelligence for Quantitative Assessment of Hemodynamic Congestion and Predicting Outcomes. JACC Cardiovasc Imaging 2021; 14:2120-2122. [PMID: 34147449 DOI: 10.1016/j.jcmg.2021.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/10/2021] [Accepted: 05/14/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy; Department of Clinical Sciences, Lund University, Malmö, Sweden; Casa di Cura Villa Serena, Città Sant'Angelo, Pescara, Italy.
| | - Mohammed Y Khanji
- Newham University Hospital, Barts Health NHS Trust, London, United Kingdom; Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom; NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
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24
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Pulmonary blood volume estimation in mice by magnetic particle imaging and magnetic resonance imaging. Sci Rep 2021; 11:4848. [PMID: 33649416 PMCID: PMC7921594 DOI: 10.1038/s41598-021-84276-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 02/10/2021] [Indexed: 11/27/2022] Open
Abstract
This methodical work describes the measurement and calculation of pulmonary blood volume in mice based on two imaging techniques namely by using magnetic particle imaging (MPI) and cardiac magnetic resonance imaging (MRI). Besides its feasibility aspects that may influence quantitative analysis are studied. Eight FVB mice underwent cardiac MRI to determine stroke volumes and anatomic MRI as morphological reference for functional MPI data. Arrival time analyses of boli of 1 µl of 1 M superparamagnetic tracer were performed by MPI. Pulmonary transit time of the bolus was determined by measurements in the right and left ventricles. Pulmonary blood volume was calculated out of stroke volume, pulmonary transit time and RR-interval length including a maximal error analysis. Cardiac stroke volume was 31.7 µl ± 2.3 µl with an ejection fraction of 71% ± 6%. A sharp contrast bolus profile was observed by MPI allowing subdividing the first pass into three distinct phases: tracer arrival in the right ventricle, pulmonary vasculature, and left ventricle. The bolus full width at half maximum was 578 ms ± 144 ms in the right ventricle and 1042 ms ± 150 ms in the left ventricle. Analysis of pulmonary transit time revealed 745 ms ± 81 ms. Mean RR-interval length was 133 ms ± 12 ms. Pulmonary blood volume resulted in 177 µl ± 27 µl with a mean maximal error limit of 27 µl. Non-invasive assessment of the pulmonary blood volume in mice was feasible. This technique can be of specific value for evaluation of pulmonary hemodynamics in mouse models of cardiac dysfunction or pulmonary disease. Pulmonary blood volume can complement cardiac functional parameters as a further hemodynamic parameter.
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25
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Houard L, Amzulescu MS, Colin G, Langet H, Militaru S, Rousseau MF, Ahn SA, Vanoverschelde JLJ, Pouleur AC, Gerber BL. Prognostic Value of Pulmonary Transit Time by Cardiac Magnetic Resonance on Mortality and Heart Failure Hospitalization in Patients With Advanced Heart Failure and Reduced Ejection Fraction. Circ Cardiovasc Imaging 2021; 14:e011680. [PMID: 33438438 DOI: 10.1161/circimaging.120.011680] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Pulmonary transit time (PTT) from first-pass perfusion imaging is a novel parameter to evaluate hemodynamic congestion by cardiac magnetic resonance (cMR). We sought to evaluate the additional prognostic value of PTT in heart failure with reduced ejection fraction over other well-validated predictors of risk including the Meta-Analysis Global Group in Chronic Heart Failure risk score and ischemic cause. METHODS We prospectively followed 410 patients with chronic heart failure with reduced ejection fraction (61±13 years, left ventricular (LV) ejection fraction 24±7%) who underwent a clinical cMR to assess the prognostic value of PTT for a primary endpoint of overall mortality and secondary composite endpoint of cardiovascular death and heart failure hospitalization. Normal reference values of PTT were evaluated in a population of 40 asymptomatic volunteers free of cardiovascular disease. Results PTT was significantly increased in patients with heart failure with reduced ejection fraction as compared to controls (9±6 beats and 7±2 beats, respectively, P<0.001), and correlated not only with New York Heart Association class, cMR-LV and cMR-right ventricular (RV) volumes, cMR-RV and cMR-LV ejection fraction, and feature tracking global longitudinal strain, but also with cardiac output. Over 6-year median follow-up, 182 patients died and 200 reached the secondary endpoint. By multivariate Cox analysis, PTT was an independent and significant predictor of both endpoints after adjustment for Meta-Analysis Global Group in Chronic Heart Failure risk score and ischemic cause. Importantly in multivariable analysis, PTT in beats had significantly higher additional prognostic value to predict not only overall mortality (χ2 to improve, 12.3; hazard ratio, 1.35 [95% CI, 1.16-1.58]; P<0.001) but also the secondary composite endpoints (χ2 to improve=20.1; hazard ratio, 1.23 [95% CI, 1.21-1.60]; P<0.001) than cMR-LV ejection fraction, cMR-RV ejection fraction, LV-feature tracking global longitudinal strain, or RV-feature tracking global longitudinal strain. Importantly, PTT was independent and complementary to both pulmonary artery pressure and reduced RV ejection fraction<42% to predict overall mortality and secondary combined endpoints. CONCLUSIONS Despite limitations in temporal resolution, PTT derived from first-pass perfusion imaging provides higher and independent prognostic information in heart failure with reduced ejection fraction than clinical and other cMR parameters, including LV and RV ejection fraction or feature tracking global longitudinal strain. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03969394.
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Affiliation(s)
- Laura Houard
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc (L.H., M.S.A., G.C., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.).,Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium (L.H., M.S.A., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.)
| | - Mihaela S Amzulescu
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc (L.H., M.S.A., G.C., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.).,Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium (L.H., M.S.A., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.)
| | - Geoffrey Colin
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc (L.H., M.S.A., G.C., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.)
| | - Helene Langet
- Philips Clinical Research Board, Suresnes, France (H.L.)
| | - Sebastian Militaru
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc (L.H., M.S.A., G.C., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.).,Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium (L.H., M.S.A., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.)
| | - Michel F Rousseau
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc (L.H., M.S.A., G.C., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.).,Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium (L.H., M.S.A., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.)
| | - Sylvie A Ahn
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc (L.H., M.S.A., G.C., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.).,Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium (L.H., M.S.A., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.)
| | - Jean-Louis J Vanoverschelde
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc (L.H., M.S.A., G.C., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.).,Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium (L.H., M.S.A., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.)
| | - Anne-Catherine Pouleur
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc (L.H., M.S.A., G.C., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.).,Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium (L.H., M.S.A., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.)
| | - Bernhard L Gerber
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc (L.H., M.S.A., G.C., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.).,Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium (L.H., M.S.A., S.M., M.F.R., S.A.A., J.-L.J.V., A.-C.P., B.L.G.)
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Colin GC, Pouleur AC, Gerber BL, Poncelet PA, de Meester C, D’Hondt AM, Vlassenbroek A, Houard L, Gevenois PA, Ghaye B. Pulmonary hypertension detection by computed tomography pulmonary transit time in heart failure with reduced ejection fraction. Eur Heart J Cardiovasc Imaging 2019; 21:1291-1298. [DOI: 10.1093/ehjci/jez290] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Revised: 07/25/2019] [Accepted: 11/11/2019] [Indexed: 11/14/2022] Open
Abstract
Abstract
Aims
To evaluate the relationships between pulmonary transit time (PTT), cardiac function, and pulmonary haemodynamics in patients with heart failure with reduced ejection fraction (HFrEF) and to explore how PTT performs in detecting pulmonary hypertension (PH).
Methods and results
In this prospective study, 57 patients with advanced HFrEF [49 men, 51 years ± 8, mean left ventricular (LV) ejection fraction 26% ± 8] underwent echocardiography, right heart catheterization, and cardiac computed tomography (CT). PTT was measured as the time interval between peaks of attenuation in right ventricle (RV) and LV and was compared between patients with or without PH and 15 controls. PTT was significantly longer in HFrEF patients with PH (21 s) than in those without PH (11 s) and controls (8 s) (P < 0.001) but not between patients without PH and controls (P = 0.109). PTT was positively correlated with pulmonary artery wedge pressure (PAWP) (r = 0.74), mean pulmonary artery pressure (r = 0.68), N-terminal pro-B-type natriuretic peptide (r = 0.60), mitral (r = 0.54), and tricuspid (r = 0.37) regurgitation grades, as well as with LV, RV, and left atrial volumes (r from 0.39 to 0.64) (P < 0.01). PTT was negatively correlated with cardiac index (r = −0.63) as well as with LV (r = −0.66) and RV (r = −0.74) ejection fractions. PAWP, cardiac index, mitral regurgitation grade, and RV end-diastolic volume were all independent predictors of PTT. PTT value ≥14 s best-detected PH with 91% sensitivity and 88% specificity (area under the receiver operating characteristic curve: 0.95).
Conclusion
In patients with HFrEF, PTT correlates with cardiac function and pulmonary haemodynamics, is determined by four independent parameters, and performs well in detecting PH.
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Affiliation(s)
- Geoffrey C Colin
- Division of Radiology, Cliniques Universitaires Saint-Luc UCL, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | - Anne-Catherine Pouleur
- Division of Cardiology, Cliniques Universitaires Saint-Luc UCL, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | - Bernhard L Gerber
- Division of Cardiology, Cliniques Universitaires Saint-Luc UCL, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | - Pierre-Antoine Poncelet
- Division of Radiology, Cliniques Universitaires Saint-Luc UCL, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | - Christophe de Meester
- Division of Cardiology, Cliniques Universitaires Saint-Luc UCL, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | - Anne-Marie D’Hondt
- Division of Cardiology, Cliniques Universitaires Saint-Luc UCL, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | | | - Laura Houard
- Division of Cardiology, Cliniques Universitaires Saint-Luc UCL, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | | | - Benoit Ghaye
- Division of Radiology, Cliniques Universitaires Saint-Luc UCL, Avenue Hippocrate 10, 1200 Brussels, Belgium
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27
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Houard L, Cosyns B, Droogmans S. Old wine in a new bottle: non-invasive quantitative evaluation of pulmonary congestion with pulmonary blood volume index by cardiac magnetic resonance. Eur Heart J Cardiovasc Imaging 2019; 20:1377-1378. [PMID: 31544931 DOI: 10.1093/ehjci/jez239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Laura Houard
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Avenue Hippocrate 10, 1200 Woluwé-Saint-Lambert, St Luc, Brussels, Belgium.,Department of Cardiology, Centrum voor Hart-en Vaatziekten (CHVZ), UZ Brussel, Laarbeeklaan 101, 1090 Jette, Belgium
| | - Bernard Cosyns
- Department of Cardiology, Centrum voor Hart-en Vaatziekten (CHVZ), UZ Brussel, Laarbeeklaan 101, 1090 Jette, Belgium
| | - Steven Droogmans
- Department of Cardiology, Centrum voor Hart-en Vaatziekten (CHVZ), UZ Brussel, Laarbeeklaan 101, 1090 Jette, Belgium
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Edvardsen T, Haugaa KH, Petersen SE, Gimelli A, Donal E, Maurer G, Popescu BA, Cosyns B. The year 2018 in the European Heart Journal - Cardiovascular Imaging: Part I. Eur Heart J Cardiovasc Imaging 2019; 20:858-865. [PMID: 31211353 DOI: 10.1093/ehjci/jez133] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 05/17/2019] [Indexed: 12/18/2022] Open
Abstract
The European Heart Journal - Cardiovascular Imaging has become one of the leading multimodality cardiovascular imaging journal, since it was launched in 2012. The impact factor is an impressive 8.366 and it is now established as one of the top 10 cardiovascular journals. The journal is the most important cardiovascular imaging journal in Europe. The most important studies from 2018 will be highlighted in two reports. Part I of the review will focus on studies about myocardial function and risk prediction, myocardial ischaemia, and emerging techniques in cardiovascular imaging, while Part II will focus on valvular heart disease, heart failure, cardiomyopathies, and congenital heart disease.
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Affiliation(s)
- Thor Edvardsen
- Department of Cardiology, Centre of Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Nydalen, Sognsvannsveien 20, NO-0424Oslo, Norway.,Institute for Clinical Medicine, University of Oslo, Sognsvannsveien 20, Oslo, Norway
| | - Kristina H Haugaa
- Department of Cardiology, Centre of Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Nydalen, Sognsvannsveien 20, NO-0424Oslo, Norway.,Institute for Clinical Medicine, University of Oslo, Sognsvannsveien 20, Oslo, Norway
| | - Steffen E Petersen
- Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, UK.,William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK
| | - Alessia Gimelli
- Fondazione Toscana/CNR G. Monasterio, Via Moruzzi 1, Pisa, Italy
| | - Erwan Donal
- Cardiology Department and CIC-IT1414, CHU Rennes, 6 Rue H Le Guillou, Rennes, France.,LTSI INSERM 1099, University Rennes-1, Rue H Le Guillou, Rennes, France
| | - Gerald Maurer
- Division of Cardiology, Medical University of Vienna, Währinger Gürtel 18-20, Wien, Austria
| | - Bogdan A Popescu
- University of Medicine and Pharmacy "Carol Davila"-Euroecolab, Department of Cardiology, Emergency Institute of Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Sos. Fundeni 258, Sector 2, Bucharest, Romania
| | - Bernard Cosyns
- Department of Cardiology, CHVZ (Centrum voor Hart en Vaatziekten), ICMI (In Vivo Cellular and Molecular Imaging) Laboratory, Universitair Ziekenhuis Brussel, 109 Laarbeeklaan, Brussels, Belgium
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Ait Ali L, Aquaro GD, Peritore G, Ricci F, De Marchi D, Emdin M, Passino C, Festa P. Cardiac Magnetic Resonance Evaluation of Pulmonary Transit Time and Blood Volume in Adult Congenital Heart disease. J Magn Reson Imaging 2019; 50:779-786. [DOI: 10.1002/jmri.26684] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 01/31/2019] [Accepted: 01/31/2019] [Indexed: 11/06/2022] Open
Affiliation(s)
- Lamia Ait Ali
- Institute of Clinical Physiology CNR; Massa Italy
- MRI Lab, Fondazione G. Monasterio CNR-Regione Toscana; Pisa Italy
| | | | | | - Fabrizio Ricci
- Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences; "G. d'Annunzio" University; Chieti Italy
| | | | - Michele Emdin
- Division of Cardiology and Cardiovascular Medicine; Fondazione G. Monasterio CNR-Regione Toscana; Pisa Italy
| | - Claudio Passino
- Division of Cardiology and Cardiovascular Medicine; Fondazione G. Monasterio CNR-Regione Toscana; Pisa Italy
| | - Pierluigi Festa
- MRI Lab, Fondazione G. Monasterio CNR-Regione Toscana; Pisa Italy
- Pediatric Cardiology and GUCH Unit; Fondazione G. Monasterio CNR-Regione Toscana; Massa Italy
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30
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Edvardsen T, Haugaa KH, Gerber BL, Maurovich-Horvat P, Donal E, Maurer G, Popescu BA. The year 2017 in the European Heart Journal-Cardiovascular Imaging: Part II. Eur Heart J Cardiovasc Imaging 2018; 19:1222-1229. [PMID: 30084988 DOI: 10.1093/ehjci/jey110] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
European Heart Journal - Cardiovascular Imaging was launched in 2012 as a multimodality cardiovascular imaging journal. It has gained an impressive impact factor of 8.366 during its first 5 years and is now established as one of the top 10 cardiovascular journals and has become the most important cardiovascular imaging journal in Europe. The most important studies from 2017 will be highlighted in two reports. Part I of the review will focus on studies about myocardial function and risk prediction, myocardial ischaemia, and emerging techniques in cardiovascular imaging, while Part II will focus on valvular heart disease, heart failure, cardiomyopathies, and congenital heart disease.
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Affiliation(s)
- Thor Edvardsen
- Department of Cardiology, Centre of Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, NO-0027 Oslo, Norway and Institute for Clinical Medicine, University of Oslo, Sognsvannsveien 20, Oslo, Norway
| | - Kristina H Haugaa
- Department of Cardiology, Centre of Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, NO-0027 Oslo, Norway and Institute for Clinical Medicine, University of Oslo, Sognsvannsveien 20, Oslo, Norway
| | - Bernhard L Gerber
- Division of Cardiology, Department of Cardiovascular Diseases, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires St. Luc, Université Catholique de Louvain, Av Hippocrate 10/2803, Woluwe St. Lambert, Belgium
| | - Pál Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group (CIRG), Heart and Vascular Center, Semmelweis University, 68 Varosmajor u., Budapest, Hungary
| | - Erwan Donal
- Cardiologie Department and CIC-IT 1414 - CHU Rennes - Hôpital Pontchaillou, LTSI INSERM U 1099 - University Rennes-1, Rennes, France
| | - Gerald Maurer
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, Wien, Austria
| | - Bogdan A Popescu
- Department of Cardiology, University of Medicine and Pharmacy "Carol Davila" - Euroecolab, Emergency Institute of Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Sos. Fundeni 258, sector 2, Bucharest, Romania
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