Chalian Hamid, Askarinejad Amir, Salmanipour Alireza, Jolfayi Amir Ghaffari, Bedayat Arash, Ordovas Karen, Asadian Sanaz
Department of Radiology, Cardiothoracic Imaging, University of Washington, Seattle, Washington (H.C., K.O., S.A.).
Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran (A.A., A.S., A.G.J., S.A.).
Acad Radiol. 2025 Jun;32(6):3248-3257. doi: 10.1016/j.acra.2024.12.035. Epub 2024 Dec 31.
Systemic sclerosis (SSc) is an immune dysregulation disorder affecting multiple organs. Cardiac involvement, prevalently myocardial, is associated with poor outcomes in SSc patients. Several investigations explored the role of cardiac magnetic resonance (CMR) imaging in the diagnosis of scleroderma-related cardiomyopathy and analyzed the clinical, radiologic, and pathologic correlations utilizing CMR examinations. However, fewer studies investigated the role of traditional and novel CMR parameters, including functional values, strain, late gadolinium enhancement (LGE), and parametric mapping variables, in predicting outcomes in SSc patients. We aimed to review the literature to seek for the role of different CMR features in outcome prediction of SSc patients.
We systematically reviewed PubMed/Medline, EMBASE, Web of Science, and Scopus databases to find publications that analyzed the prognostic value of CMR-derived parameters for adverse events, particularly all-cause mortality, in SSc patients published from January of 1960, up to the May 1, 2023. In this regard, we excluded the reviews, editorials, case reports, and case series. Also, we excluded the studies with the target population possessing obstructive coronary artery disease, other rheumatologic conditions, moderate to severe pulmonary hypertension and history of intervention for arrhythmia. Two of the authors principally extracted data, and disagreements were resolved through consensus. Information from each investigation was registered. Two of the authors utilized the Quality in Prognostic Studies (QUIPS) tool for risk of bias assessment, and a third reviewer was involved in cases of inconsistencies. Consequently, the main findings of the conducted projects were outlined and depicted in tables.
The initial search yielded 4623 papers. After removing duplicates and irrelevant titles/abstracts, 120 full-text articles were reviewed. Nine studies met the criteria with study population ranging from 24 to 260 patients in included studies. The following CMR parameters were powerful predictors of all-cause mortality: myocardial LGE, native T1 value, extracellular volume (ECV), and ventricular strain. Although less studied, left atrial strain, diffusion/perfusion, and stress-CMR parameters were also predictors of outcomes.
In SSc patients, CMR findings, including myocardial LGE, native T1 value, ECV, and ventricular strain values, were robust predictors of adverse outcomes. Other CMR parameters, consisting of diffusion/perfusion and stress-CMR values, were less studied. A drawback encountered while we were reviewing the studies was the versatility of measurement criteria among the included studies that precluded us from driving a meta-analysis. Further longitudinal multiparametric CMR studies are required to investigate the prognostic role of CMR examination in SSc patients.
The systematic review protocol containing the planned methods was registered in PROSPERO before starting the review process (PROSPERO, registration ID: CRD42023446391).
系统性硬化症(SSc)是一种影响多个器官的免疫调节紊乱疾病。心脏受累,主要是心肌受累,与SSc患者的不良预后相关。多项研究探讨了心脏磁共振(CMR)成像在硬皮病相关性心肌病诊断中的作用,并利用CMR检查分析了临床、放射学和病理学相关性。然而,较少有研究调查传统和新型CMR参数,包括功能值、应变、延迟钆增强(LGE)和参数映射变量,在预测SSc患者预后中的作用。我们旨在回顾文献,寻找不同CMR特征在SSc患者预后预测中的作用。
我们系统地检索了PubMed/Medline、EMBASE、Web of Science和Scopus数据库,以查找分析CMR衍生参数对SSc患者不良事件,特别是全因死亡率的预后价值的出版物,这些出版物发表于1960年1月至2023年5月1日。在这方面,我们排除了综述、社论、病例报告和病例系列。此外,我们排除了目标人群患有阻塞性冠状动脉疾病、其他风湿性疾病、中度至重度肺动脉高压和心律失常干预史的研究。两位作者主要提取数据,分歧通过共识解决。记录了每项调查的信息。两位作者使用预后研究质量(QUIPS)工具进行偏倚风险评估,第三位审稿人参与不一致情况的处理。因此,将所开展项目的主要结果进行了概述并以表格形式呈现。
初步检索得到4623篇论文。在去除重复项和不相关的标题/摘要后,对120篇全文文章进行了审查。9项研究符合标准,纳入研究中的研究人群为24至260名患者。以下CMR参数是全因死亡率的有力预测指标:心肌LGE、固有T1值、细胞外容积(ECV)和心室应变。虽然研究较少,但左心房应变、扩散/灌注和负荷CMR参数也是预后的预测指标。
在SSc患者中,CMR表现,包括心肌LGE、固有T1值、ECV和心室应变值,是不良预后的有力预测指标。其他CMR参数,包括扩散/灌注和负荷CMR值,研究较少。我们在审查研究时遇到的一个缺点是纳入研究之间测量标准的多样性,这使得我们无法进行荟萃分析。需要进一步的纵向多参数CMR研究来调查CMR检查在SSc患者中的预后作用。
在开始审查过程之前,在PROSPERO中注册了包含计划方法的系统评价方案(PROSPERO,注册ID:CRD42023446391)。