Sucharitha Chadalavada, Adil Mahmood, Janek Salatzki, Kerrick Hesse, Kenneth Fung, Mohammed Y Khanji, Zahra Raisi-Estabragh, Nay Aung, Steffen E Petersen
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{"title":"MRI-derived Right Ventricular Global Longitudinal Strain Predicts Heart Failure.","authors":"Sucharitha Chadalavada, Adil Mahmood, Janek Salatzki, Kerrick Hesse, Kenneth Fung, Mohammed Y Khanji, Zahra Raisi-Estabragh, Nay Aung, Steffen E Petersen","doi":"10.1148/ryct.240493","DOIUrl":null,"url":null,"abstract":"<p><p>Purpose To evaluate the association of right ventricular (RV) strain metrics derived from feature-tracking cardiac MRI with incident heart failure (HF). Materials and Methods This retrospective analysis included data of 45 700 participants (23 764 female) from the UK Biobank Imaging Study between August 2006 and July 2010. Cardiac MRI scans were performed using standardized UK Biobank protocols and equipment. Image analysis was performed with feature-tracking module of a certified postprocessing software (cvi42 prototype version 5.13.7). Biologically implausible and statistical outliers were excluded. The association of each RV global strain marker (global longitudinal strain [GLS], global circumferential strain [GCS], and global radial strain [GRS]) with incident HF was assessed using univariable and multivariable Cox regression models adjusted for established clinical features and RV imaging markers with known prognostic values. Results The mean age ± SD of the 45 700 study participants (23 764 female) was 65 years ± 7.7, and median follow-up was 3 years. Lower absolute RV GLS, RV GCS, and RV GRS were associated with increased HF risk (hazard ratio [HR]: 1.34, 1.37, and 0.71, respectively; <i>P</i> < .001 for all). According to multivariable analyses adjusted for conventional RV imaging markers and clinical covariates, only RV GLS independently predicted HF (HR: 1.16; 95% CI: 1.02, 1.33; <i>P</i> = .04). Conclusion In the general population, RV GLS, RV GCS, and RV GRS are independently predictive of HF after accounting for clinical features. RV GLS demonstrated independent predictive value against conventionally used RV imaging markers and clinical features. <b>Keywords:</b> Cardiac MRI, Right Ventricle, Myocardial Strain, Heart Failure, Survival Analysis <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 6","pages":"e240493"},"PeriodicalIF":4.5000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiology. Cardiothoracic imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1148/ryct.240493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
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Abstract
Purpose To evaluate the association of right ventricular (RV) strain metrics derived from feature-tracking cardiac MRI with incident heart failure (HF). Materials and Methods This retrospective analysis included data of 45 700 participants (23 764 female) from the UK Biobank Imaging Study between August 2006 and July 2010. Cardiac MRI scans were performed using standardized UK Biobank protocols and equipment. Image analysis was performed with feature-tracking module of a certified postprocessing software (cvi42 prototype version 5.13.7). Biologically implausible and statistical outliers were excluded. The association of each RV global strain marker (global longitudinal strain [GLS], global circumferential strain [GCS], and global radial strain [GRS]) with incident HF was assessed using univariable and multivariable Cox regression models adjusted for established clinical features and RV imaging markers with known prognostic values. Results The mean age ± SD of the 45 700 study participants (23 764 female) was 65 years ± 7.7, and median follow-up was 3 years. Lower absolute RV GLS, RV GCS, and RV GRS were associated with increased HF risk (hazard ratio [HR]: 1.34, 1.37, and 0.71, respectively; P < .001 for all). According to multivariable analyses adjusted for conventional RV imaging markers and clinical covariates, only RV GLS independently predicted HF (HR: 1.16; 95% CI: 1.02, 1.33; P = .04). Conclusion In the general population, RV GLS, RV GCS, and RV GRS are independently predictive of HF after accounting for clinical features. RV GLS demonstrated independent predictive value against conventionally used RV imaging markers and clinical features. Keywords: Cardiac MRI, Right Ventricle, Myocardial Strain, Heart Failure, Survival Analysis Supplemental material is available for this article. © RSNA, 2025.
mri衍生的右心室整体纵向应变预测心力衰竭。
目的评估特征跟踪心脏MRI得出的右心室(RV)应变指标与心力衰竭(HF)的关系。材料和方法本回顾性分析包括2006年8月至2010年7月英国生物银行成像研究的45 700名参与者(23 764名女性)的数据。心脏MRI扫描使用标准化的英国生物银行协议和设备进行。使用经过认证的后处理软件(cvi42原型版本5.13.7)的特征跟踪模块进行图像分析。排除了生物学上不可信和统计上的异常值。采用单变量和多变量Cox回归模型,根据已确定的临床特征和具有已知预后价值的RV成像标记物进行调整,评估每个RV全局应变标记物(全局纵向应变[GLS]、全局周向应变[GCS]和全局径向应变[GRS])与HF事件的关系。结果45 700名研究对象(女性23 764名)的平均年龄±SD为65岁±7.7岁,中位随访时间为3年。较低的绝对RV GLS、RV GCS和RV GRS与HF风险增加相关(风险比[HR]分别为1.34、1.37和0.71;P < 0.001)。根据校正了常规RV影像标记物和临床协变量的多变量分析,只有RV GLS能独立预测HF (HR: 1.16; 95% CI: 1.02, 1.33; P = 0.04)。结论在一般人群中,考虑临床特征后,RV GLS、RV GCS和RV GRS可独立预测HF。RV GLS对常规使用的RV成像标记物和临床特征具有独立的预测价值。关键词:心脏MRI,右心室,心肌应变,心力衰竭,生存分析本文有补充资料。©rsna, 2025。
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