Chi Ting Kwan, On Hang Samuel Ching, Pui Min Yap, Sau Yung Fung, Hok Shing Tang, Wan Wai Vivian Tse, Cheuk Nam Felix Kwan, Yin Hay Phoebe Chow, Nga Ching Yiu, Yung Pok Lee, Jessica Wing Ka Lau, Ambrose Ho Tung Fong, Qing-Wen Ren, Mei-Zhen Wu, Eric Yuk Fai Wan, Ka Chun Kevin Lee, Chun Yu Leung, Andrew Li, David Montero, Varut Vardhanabhuti, Jojo Siu Han Hai, Chung-Wah Siu, Hung-Fat Tse, Valentin Zingan, Xiaoxi Zhao, Haonan Wang, Dudley John Pennell, Raad Mohiaddin, Roxy Senior, Kai-Hang Yiu, Ming-Yen Ng
{"title":"心室内4D血流心血管磁共振评价射血分数保留的心力衰竭患者:一项初步研究。","authors":"Chi Ting Kwan, On Hang Samuel Ching, Pui Min Yap, Sau Yung Fung, Hok Shing Tang, Wan Wai Vivian Tse, Cheuk Nam Felix Kwan, Yin Hay Phoebe Chow, Nga Ching Yiu, Yung Pok Lee, Jessica Wing Ka Lau, Ambrose Ho Tung Fong, Qing-Wen Ren, Mei-Zhen Wu, Eric Yuk Fai Wan, Ka Chun Kevin Lee, Chun Yu Leung, Andrew Li, David Montero, Varut Vardhanabhuti, Jojo Siu Han Hai, Chung-Wah Siu, Hung-Fat Tse, Valentin Zingan, Xiaoxi Zhao, Haonan Wang, Dudley John Pennell, Raad Mohiaddin, Roxy Senior, Kai-Hang Yiu, Ming-Yen Ng","doi":"10.1007/s10554-023-02909-8","DOIUrl":null,"url":null,"abstract":"<p><p>Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging. Intraventricular four-dimensional flow (4D flow) phase-contrast cardiovascular magnetic resonance (CMR) can assess different components of left ventricular (LV) flow including direct flow, delayed ejection, retained inflow and residual volume. This could be utilised to identify HFpEF. This study investigated if intraventricular 4D flow CMR could differentiate HFpEF patients from non-HFpEF and asymptomatic controls. Suspected HFpEF patients and asymptomatic controls were recruited prospectively. HFpEF patients were confirmed using European Society of Cardiology (ESC) 2021 expert recommendations. Non-HFpEF patients were diagnosed if suspected HFpEF patients did not fulfil ESC 2021 criteria. LV direct flow, delayed ejection, retained inflow and residual volume were obtained from 4D flow CMR images. Receiver operating characteristic (ROC) curves were plotted. 63 subjects (25 HFpEF patients, 22 non-HFpEF patients and 16 asymptomatic controls) were included in this study. 46% were male, mean age 69.8 ± 9.1 years. CMR 4D flow derived LV direct flow and residual volume could differentiate HFpEF vs combined group of non-HFpEF and asymptomatic controls (p < 0.001 for both) as well as HFpEF vs non-HFpEF patients (p = 0.021 and p = 0.005, respectively). Among the 4 parameters, direct flow had the largest area under curve (AUC) of 0.781 when comparing HFpEF vs combined group of non-HFpEF and asymptomatic controls, while residual volume had the largest AUC of 0.740 when comparing HFpEF and non-HFpEF patients. CMR 4D flow derived LV direct flow and residual volume show promise in differentiating HFpEF patients from non-HFpEF patients.</p>","PeriodicalId":50332,"journal":{"name":"International Journal of Cardiovascular Imaging","volume":" ","pages":"2015-2027"},"PeriodicalIF":1.5000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intraventricular 4D flow cardiovascular magnetic resonance for assessing patients with heart failure with preserved ejection fraction: a pilot study.\",\"authors\":\"Chi Ting Kwan, On Hang Samuel Ching, Pui Min Yap, Sau Yung Fung, Hok Shing Tang, Wan Wai Vivian Tse, Cheuk Nam Felix Kwan, Yin Hay Phoebe Chow, Nga Ching Yiu, Yung Pok Lee, Jessica Wing Ka Lau, Ambrose Ho Tung Fong, Qing-Wen Ren, Mei-Zhen Wu, Eric Yuk Fai Wan, Ka Chun Kevin Lee, Chun Yu Leung, Andrew Li, David Montero, Varut Vardhanabhuti, Jojo Siu Han Hai, Chung-Wah Siu, Hung-Fat Tse, Valentin Zingan, Xiaoxi Zhao, Haonan Wang, Dudley John Pennell, Raad Mohiaddin, Roxy Senior, Kai-Hang Yiu, Ming-Yen Ng\",\"doi\":\"10.1007/s10554-023-02909-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging. Intraventricular four-dimensional flow (4D flow) phase-contrast cardiovascular magnetic resonance (CMR) can assess different components of left ventricular (LV) flow including direct flow, delayed ejection, retained inflow and residual volume. This could be utilised to identify HFpEF. This study investigated if intraventricular 4D flow CMR could differentiate HFpEF patients from non-HFpEF and asymptomatic controls. Suspected HFpEF patients and asymptomatic controls were recruited prospectively. HFpEF patients were confirmed using European Society of Cardiology (ESC) 2021 expert recommendations. Non-HFpEF patients were diagnosed if suspected HFpEF patients did not fulfil ESC 2021 criteria. LV direct flow, delayed ejection, retained inflow and residual volume were obtained from 4D flow CMR images. Receiver operating characteristic (ROC) curves were plotted. 63 subjects (25 HFpEF patients, 22 non-HFpEF patients and 16 asymptomatic controls) were included in this study. 46% were male, mean age 69.8 ± 9.1 years. CMR 4D flow derived LV direct flow and residual volume could differentiate HFpEF vs combined group of non-HFpEF and asymptomatic controls (p < 0.001 for both) as well as HFpEF vs non-HFpEF patients (p = 0.021 and p = 0.005, respectively). Among the 4 parameters, direct flow had the largest area under curve (AUC) of 0.781 when comparing HFpEF vs combined group of non-HFpEF and asymptomatic controls, while residual volume had the largest AUC of 0.740 when comparing HFpEF and non-HFpEF patients. 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Intraventricular 4D flow cardiovascular magnetic resonance for assessing patients with heart failure with preserved ejection fraction: a pilot study.
Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging. Intraventricular four-dimensional flow (4D flow) phase-contrast cardiovascular magnetic resonance (CMR) can assess different components of left ventricular (LV) flow including direct flow, delayed ejection, retained inflow and residual volume. This could be utilised to identify HFpEF. This study investigated if intraventricular 4D flow CMR could differentiate HFpEF patients from non-HFpEF and asymptomatic controls. Suspected HFpEF patients and asymptomatic controls were recruited prospectively. HFpEF patients were confirmed using European Society of Cardiology (ESC) 2021 expert recommendations. Non-HFpEF patients were diagnosed if suspected HFpEF patients did not fulfil ESC 2021 criteria. LV direct flow, delayed ejection, retained inflow and residual volume were obtained from 4D flow CMR images. Receiver operating characteristic (ROC) curves were plotted. 63 subjects (25 HFpEF patients, 22 non-HFpEF patients and 16 asymptomatic controls) were included in this study. 46% were male, mean age 69.8 ± 9.1 years. CMR 4D flow derived LV direct flow and residual volume could differentiate HFpEF vs combined group of non-HFpEF and asymptomatic controls (p < 0.001 for both) as well as HFpEF vs non-HFpEF patients (p = 0.021 and p = 0.005, respectively). Among the 4 parameters, direct flow had the largest area under curve (AUC) of 0.781 when comparing HFpEF vs combined group of non-HFpEF and asymptomatic controls, while residual volume had the largest AUC of 0.740 when comparing HFpEF and non-HFpEF patients. CMR 4D flow derived LV direct flow and residual volume show promise in differentiating HFpEF patients from non-HFpEF patients.
期刊介绍:
The International Journal of Cardiovascular Imaging publishes technical and clinical communications (original articles, review articles and editorial comments) associated with cardiovascular diseases. The technical communications include the research, development and evaluation of novel imaging methods in the various imaging domains. These domains include magnetic resonance imaging, computed tomography, X-ray imaging, intravascular imaging, and applications in nuclear cardiology and echocardiography, and any combination of these techniques. Of particular interest are topics in medical image processing and image-guided interventions. Clinical applications of such imaging techniques include improved diagnostic approaches, treatment , prognosis and follow-up of cardiovascular patients. Topics include: multi-center or larger individual studies dealing with risk stratification and imaging utilization, applications for better characterization of cardiovascular diseases, and assessment of the efficacy of new drugs and interventional devices.