Department of Cardiology, Medical University of Silesia, Ziołowa 45/47, 40-635, Katowice, Poland.
Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland.
J Cardiovasc Magn Reson. 2021 Mar 22;23(1):31. doi: 10.1186/s12968-021-00722-7.
Objective assessment of prosthetic paravalvular leak (PVL) is complex and challenging even in transesophageal echocardiography (TEE). Our aim was to assess the value of cardiovascular magnetic resonance (CMR) in quantifying PVL in aortic (AVR) or mitral valve (MVR) replacement.
Thirty-one patients (62 ± 15.1 years, 63% males) with a preliminary diagnosis of significant PVL (AVR, n-23; MVR, n = 8) were recruited. The TEE PVL grading was based on the semi-quantitative (SQ) TEE according to the VARC II PVL classification (%PVL: mild < 10%; moderate 10%-30%; severe > 30%). Non-contrast CMR studies were acquired at 1.5 T with a quantitative approach (phase-contrast velocity encoded imaging). The CMR PVL severity was classified according to regurgitant fraction (RF: (1) mild ≤ 20%, (2) moderate 21%-39%, or (3) severe ≥ 40%).
All patients revealed symptoms of heart failure (71%: New York Heart Association [NYHA] II; 91%: N-terminal pro-B-type natriuretic peptide [NT-proBNP] > 150 pg/ml) and typical cardiovascular disease risk factors. The SQ-TEE results revealed several categories: (1) mild (n = 5; 16%), (2) moderate (n = 21; 67%), and (3) severe (n = 5; 16%) PVL. However, CMR PVL RF reclassified the severity of PVL: (1) mild to moderate (in 80%), (2) moderate to severe (in 47%), and (3) severe to moderate (in 40%). The receiver operating characteristic analysis showed that SQ-TEE and CMR PVL-vol and -RF predicted the upper tertile of NT-proBNP (> 2000 pg/ml) with the best sensitivity for CMR parameters.
The SQ-TEE showed moderate agreement with CMR and underestimated a considerable number of AVR or MVR-PVL.
即使在经食管超声心动图(TEE)中,人工瓣周漏(PVL)的客观评估也很复杂且具有挑战性。我们的目的是评估心血管磁共振(CMR)在量化主动脉瓣置换(AVR)或二尖瓣置换(MVR)中 PVL 的价值。
招募了 31 名初步诊断为严重 PVL(AVR,n-23;MVR,n=8)的患者(62±15.1 岁,63%为男性)。TEE PVL 分级基于半定量(SQ)TEE,根据 VARC II PVL 分类(%PVL:轻度<10%;中度 10%-30%;重度>30%)。在 1.5T 上使用定量方法(相位对比速度编码成像)获得非对比 CMR 研究。CMR PVL 严重程度根据反流分数(RF)进行分类(1)轻度≤20%,(2)中度 21%-39%,或(3)重度≥40%)。
所有患者均有心力衰竭症状(71%:纽约心脏协会[NYHA] II 级;91%:N 末端脑利钠肽前体[NT-proBNP]>150pg/ml)和典型的心血管疾病危险因素。SQ-TEE 结果显示出几个类别:(1)轻度(n=5;16%),(2)中度(n=21;67%)和(3)重度(n=5;16%)PVL。然而,CMR PVL RF 将 PVL 的严重程度重新分类为:(1)轻度至中度(80%),(2)中度至重度(47%)和(3)重度至中度(40%)。受试者工作特征分析显示,SQ-TEE 和 CMR PVL-vol 和-RF 对预测 NT-proBNP 上三分之一(>2000pg/ml)具有最佳灵敏度,CMR 参数的预测效果最好。
SQ-TEE 与 CMR 具有中等一致性,并且低估了相当数量的 AVR 或 MVR-PVL。