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Coronary Plaque Radiomic Phenotypes Predict Fatal or Nonfatal Myocardial Infarction: Analysis of the SCOT-HEART Trial. 冠状动脉斑块放射组学表型可预测致死性或非致死性心肌梗死:SCOT-HEART 试验分析。
IF 12.8 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-30 DOI: 10.1016/j.jcmg.2024.08.012
Márton Kolossváry, Andrew Lin, Jacek Kwiecinski, Sebastien Cadet, Piotr J Slomka, David E Newby, Marc R Dweck, Michelle C Williams, Damini Dey

Background: Coronary computed tomography (CT) angiography-derived attenuation-based plaque burden assessments can identify patients at risk of myocardial infarction.

Objectives: This study sought to assess whether more detailed plaque morphology assessment using patient-based radiomic characterization could further enhance the identification of patients at risk of myocardial infarction during long-term follow-up.

Methods: Post hoc analysis of coronary CT angiography was performed within the SCOT-HEART (Scottish Computed Tomography of the HEART) clinical trial. Coronary plaque segmentations were used to calculate plaque burdens and eigen radiomic features that described plaque morphology. Univariable and multivariable Cox proportional hazard models were used to evaluate the association between clinical and image-based features and fatal or nonfatal myocardial infarction, whereas Harrell's C-statistic and cumulative/dynamic area under the curve (AUC) values with cross-validation were used to evaluate prognostic performance.

Results: Scans from 1,750 patients (aged 58 ± 9 years; 56% male) were analyzed. Over a median of 8.6 years of follow-up, 82 patients had a fatal or nonfatal myocardial infarction. Among the eigen radiomic features, 15 were associated with myocardial infarction in univariable analysis, and 8 features retained their association following adjustment for cardiovascular risk score and plaque burden metrics. Adding plaque burden metrics to a clinical model incorporating cardiovascular risk score, Agatston score and presence of obstructive coronary artery disease had similar prediction performance (C-statistic 0.70 vs 0.70), whereas further addition of eigen radiomic features improved model performance (C-statistic 0.74). In temporal analysis, the model including eigen radiomic features had higher cumulative/dynamic AUC values following the fifth year of follow-up.

Conclusions: Radiomics-based precision phenotyping of coronary plaque morphology provided improvements to long-term prediction of myocardial infarction by CT angiography over and above clinical factors and plaque burden. (Scottish Computed Tomography of the HEART [SCOT-HEART]; NCT01149590).

背景:冠状动脉计算机断层扫描(CT基于衰减的冠状动脉计算机断层扫描(CT)血管造影斑块负荷评估可以识别心肌梗死高危患者:本研究旨在评估在长期随访过程中,使用基于患者的放射学特征描述进行更详细的斑块形态评估是否能进一步提高对心肌梗死高危患者的识别能力:在 SCOT-HEART(苏格兰心血管计算机断层扫描)临床试验中对冠状动脉 CT 血管造影进行了事后分析。冠状动脉斑块分割用于计算斑块负担和描述斑块形态的特征放射学特征。使用单变量和多变量 Cox 比例危险模型评估临床和基于图像的特征与致命或非致命心肌梗死之间的关系,而使用交叉验证的 Harrell C 统计量和累积/动态曲线下面积 (AUC) 值评估预后效果:分析了 1,750 名患者(年龄为 58 ± 9 岁;56% 为男性)的扫描结果。在中位 8.6 年的随访中,82 名患者发生了致命或非致命性心肌梗死。在单变量分析中,15 个特征与心肌梗死相关,其中 8 个特征在调整心血管风险评分和斑块负担指标后仍与心肌梗死相关。在包含心血管风险评分、Agatston 评分和是否存在阻塞性冠状动脉疾病的临床模型中加入斑块负荷指标,其预测效果相似(C 统计量为 0.70 vs 0.70),而进一步加入特征放射学特征可提高模型的预测效果(C 统计量为 0.74)。在时间分析中,包含特征放射学特征的模型在随访第五年后具有更高的累积/动态AUC值:结论:基于放射组学的冠状动脉斑块形态精确表型技术可改善CT血管造影对心肌梗死的长期预测,其效果优于临床因素和斑块负荷。(苏格兰心脏计算机断层扫描[SCOT-HEART];NCT01149590)。
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引用次数: 0
Echocardiographic Evaluation of Chronic Aortic Regurgitation: Comparison With Cardiac Magnetic Resonance and Implications for Guideline Recommendations. 慢性主动脉瓣反流的超声心动图评估:与心脏磁共振的比较及对指南建议的影响。
IF 12.8 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-30 DOI: 10.1016/j.jcmg.2024.08.013
Rowa Attar, Maan Malahfji, Clara Angulo, Duc T Nguyen, Edward A Graviss, Dipan J Shah, William A Zoghbi

Background: Guidelines for echocardiographic evaluation of aortic regurgitation (AR) have not been validated against an independent quantitative standard.

Objectives: The aim of this study was to evaluate the accuracy of the ASE (American Society of Echocardiography) AR guidelines against cardiac magnetic resonance (CMR) and to develop simplified approaches for detection of significant AR.

Methods: Patients with AR underwent echocardiography and CMR <4 hours apart. AR severity was graded according to ASE guidelines. Quantitation of regurgitant volume (RegV) was performed with pulsed Doppler at the mitral annulus and right ventricular outflow compared with left ventricular (LV) outflow, and with proximal isovelocity surface area.

Results: The authors studied 81 patients; median age was 52 years, and 58% had a bicuspid aortic valve. According to echo, 35 (43%) patients had mild AR, 18 (22%) moderate, 12 (15%) moderate to severe, and 16 (20%) had severe AR. The area under the curve (AUC) for detection of severe AR by CMR using ASE grading was 0.9 (82.4% sensitivity and 96.9% specificity). Feasibility of RegV quantitation was >88% using either echo volumetric method, and it was low for proximal isovelocity surface area (37%). The highest accuracy for echo parameters against CMR was seen with vena contracta width, jet width, and LV end-diastolic volume index (AUC: 0.86-0.89); pressure half-time had the lowest accuracy. Without RegV quantitation, a vena contracta width ≥0.5 cm and indexed LV end-diastolic volume ≥82 mL/m2 had 95.5% positive predictive value and 87.5% negative predictive value for identifying ≥moderate to severe AR by CMR (AUC: 0.89).

Conclusions: The ASE guidelines display very good performance in identifying significant AR. A simplified approach using vena contracta width and LV volumes can be used to reliably identify significant AR. Further validation of the findings in larger cohorts and against clinical outcomes is needed.

背景:主动脉瓣反流(AR)的超声心动图评估指南尚未经过独立定量标准的验证:主动脉瓣反流(AR)的超声心动图评估指南尚未根据独立的定量标准进行验证:本研究旨在评估美国超声心动图学会(ASE)主动脉瓣反流指南与心脏磁共振(CMR)的准确性,并制定检测明显主动脉瓣反流的简化方法:AR患者接受超声心动图和CMR检查:作者研究了 81 名患者;中位年龄为 52 岁,58% 患有双尖瓣主动脉瓣。根据回波检查结果,35 例(43%)患者为轻度 AR,18 例(22%)为中度,12 例(15%)为中至重度,16 例(20%)为重度 AR。使用 ASE 分级通过 CMR 检测重度 AR 的曲线下面积 (AUC) 为 0.9(灵敏度为 82.4%,特异度为 96.9%)。使用任何一种回波容积法进行 RegV 定量的可行性都大于 88%,而近端等速表面积的可行性较低(37%)。回波参数与 CMR 比较,准确度最高的是静脉收缩宽度、射流宽度和 LV 舒张末期容积指数(AUC:0.86-0.89);压力半衰期的准确度最低。在没有RegV定量的情况下,收缩静脉宽度≥0.5 cm和左心室舒张末期容积指数≥82 mL/m2对通过CMR识别≥中度至重度AR具有95.5%的阳性预测值和87.5%的阴性预测值(AUC:0.89):结论:ASE指南在识别严重AR方面表现非常出色。使用收缩静脉宽度和左心室容积的简化方法可以可靠地鉴别出明显的 AR。需要在更大的队列中并根据临床结果进一步验证这些发现。
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引用次数: 0
Echocardiographic Markers of Early Left Ventricular Dysfunction in Asymptomatic Aortic Regurgitation: Is It Time to Change the Guidelines? 无症状主动脉瓣反流早期左心室功能障碍的超声心动图标记:是改变指南的时候了吗?
IF 12.8 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-29 DOI: 10.1016/j.jcmg.2024.09.005
Vidhu Anand, Hector I Michelena, Christopher G Scott, Alexander T Lee, Vera H Rigolin, Sorin V Pislaru, Garvan C Kane, Juan A Crestanello, Patricia A Pellikka

Background: The ideal timing for surgery in asymptomatic chronic aortic regurgitation (AR) remains unclear. New thresholds for left ventricular ejection fraction (LVEF), left ventricular (LV) indexed end-systolic volume (iESV), and global longitudinal strain (GLS) have been associated with mortality in these patients. These represent markers of early LV dysfunction.

Objectives: The authors sought to assess the relationship between these markers (LVEF <60%, iESV ≥45 mL/m2, and GLS worse than -15%) and mortality, comparing them to Class I/IIa American College of Cardiology/American Heart Association guideline recommendations and absence of any of these.

Methods: A total of 673 asymptomatic patients with chronic clinically significant (≥ moderate-severe) AR between 2004 and 2019 at a single referral center were retrospectively analyzed. The primary study outcome was all-cause mortality.

Results: Mean age was 57 ± 17 years, 97 (14%) were female, 293 (45%) had hypertension, and 273 (41%) had an abnormal number of valve cusps. Aortic valve replacement was performed in 281 (48%) patients, and 69 (10%) died while under surveillance (without aortic valve replacement). LVEF <60% was present in 296 (44%) patients, 122 (25%) of 482 had GLS worse than -15%, and 261 (39%) had iESV ≥45 mL/m2. Mortality under surveillance was highest when Class I/IIa recommendations were present (HR: 4.22; 95% CI: 2.15-8.29), followed by the presence of 1 or more markers of early LV dysfunction (HR: 2.18; 95% CI: 1.21-3.92); no markers was used as the reference (all, P < 0.05). LVEF showed the strongest association with mortality, statistically slightly better than GLS and iESV. In the absence of Class I/IIa recommendations, 1 marker of early LV dysfunction was associated with higher, although not statistically significant, mortality compared with no markers (P = 0.063), followed by 2 markers; highest mortality was when all 3 markers were present (HR: 5.46; 95% CI: 2.51-11.90; P < 0.001).

Conclusions: Patients with asymptomatic clinically significant chronic AR incur a survival penalty when Class I/IIa guideline recommendations are attained. In patients without these recommendations, at least 2 markers of early LV dysfunction identify those with higher mortality risk who may benefit from early surgery.

背景:无症状慢性主动脉瓣反流(AR)的理想手术时机仍不明确。左心室射血分数(LVEF)、左心室收缩末期容积(iESV)和整体纵向应变(GLS)的新阈值与这些患者的死亡率有关。这些都是早期左心室功能障碍的标志物:作者试图评估这些指标(LVEF 2 和 GLS 差于-15%)与死亡率之间的关系,并将其与美国心脏病学会/美国心脏协会指南推荐的 I/IIa 级指标和无上述指标的指标进行比较:回顾性分析了一家转诊中心在2004年至2019年期间收治的673名无症状的慢性有临床意义(≥中重度)AR患者。主要研究结果为全因死亡率:平均年龄为 57 ± 17 岁,97 人(14%)为女性,293 人(45%)患有高血压,273 人(41%)瓣尖数量异常。281名(48%)患者进行了主动脉瓣置换术,69名(10%)患者在监测期间死亡(未进行主动脉瓣置换术)。当出现 I/IIa 级建议时,监测期间的死亡率最高(HR:4.22;95% CI:2.15-8.29),其次是出现 1 个或多个早期左心室功能障碍标记物(HR:2.18;95% CI:1.21-3.92);无标记物作为参考(所有情况,P < 0.05)。LVEF 与死亡率的关系最为密切,在统计学上略高于 GLS 和 iESV。在没有I/IIa级建议的情况下,与无标记物相比,1个早期左心室功能障碍标记物与较高的死亡率相关,但无统计学意义(P = 0.063),其次是2个标记物;当所有3个标记物均存在时,死亡率最高(HR:5.46;95% CI:2.51-11.90;P < 0.001):结论:无症状、临床症状明显的慢性AR患者在达到I/IIa级指南推荐值时,生存率会受到影响。在没有这些建议的患者中,至少有两种早期左心室功能障碍的标志物可识别出死亡率风险较高的患者,这些患者可能会从早期手术中获益。
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引用次数: 0
Calcium Scoring and Plaque Density: Room for Improvement. 钙评分和斑块密度:改进空间。
IF 12.8 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-26 DOI: 10.1016/j.jcmg.2024.09.004
Harpreet S Bhatia
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引用次数: 0
Parsing the Shades of Gray of Myocardial Fibrosis in Aortic Stenosis. 解析主动脉瓣狭窄心肌纤维化的灰色阴影
IF 12.8 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-25 DOI: 10.1016/j.jcmg.2024.09.006
Tom Kai Ming Wang, Tiffany Dong
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引用次数: 0
Cholesterol, Atherosclerotic, and Inflammatory Risks Among Patients With Statin Therapy. 他汀类药物治疗患者的胆固醇、动脉粥样硬化和炎症风险。
IF 14 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-23 DOI: 10.1016/j.jcmg.2024.08.009
Neng Dai,Yiqing Hu,Xianglin Tang,WeiFeng Guo,Zhenyang Guo,Fan Zhou,Longjiang Zhang,Pranav Prakash Edavi,Hao Lu,Juying Qian,Junbo Ge
{"title":"Cholesterol, Atherosclerotic, and Inflammatory Risks Among Patients With Statin Therapy.","authors":"Neng Dai,Yiqing Hu,Xianglin Tang,WeiFeng Guo,Zhenyang Guo,Fan Zhou,Longjiang Zhang,Pranav Prakash Edavi,Hao Lu,Juying Qian,Junbo Ge","doi":"10.1016/j.jcmg.2024.08.009","DOIUrl":"https://doi.org/10.1016/j.jcmg.2024.08.009","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"12 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Looking Beyond Stenosis: The Emerging Role of Cardiac CT in Unveiling Microvascular Dysfunction. 超越狭窄:心脏 CT 在揭示微血管功能障碍方面的新作用。
IF 14 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-14 DOI: 10.1016/j.jcmg.2024.08.011
Abdul Rahman Ihdayhid,Nestor Gahungu
{"title":"Looking Beyond Stenosis: The Emerging Role of Cardiac CT in Unveiling Microvascular Dysfunction.","authors":"Abdul Rahman Ihdayhid,Nestor Gahungu","doi":"10.1016/j.jcmg.2024.08.011","DOIUrl":"https://doi.org/10.1016/j.jcmg.2024.08.011","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"44 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Timing of Regadenoson-Induced Peak Hyperemia and the Effects on Coronary Flow Reserve. 雷加登罗松诱发峰值高血流的时间及对冠状动脉血流储备的影响
IF 12.8 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-08 DOI: 10.1016/j.jcmg.2024.08.010
Nathan Kattapuram, Shahrad Shadman, Eric E Morgan, Charles Benton, Stacian Awojoodu, Dong-Yun Kim, Joao Ramos, Ana Barac, W Patricia Bandettini, Peter Kellman, Gaby Weissman, Marcus Carlsson
{"title":"Timing of Regadenoson-Induced Peak Hyperemia and the Effects on Coronary Flow Reserve.","authors":"Nathan Kattapuram, Shahrad Shadman, Eric E Morgan, Charles Benton, Stacian Awojoodu, Dong-Yun Kim, Joao Ramos, Ana Barac, W Patricia Bandettini, Peter Kellman, Gaby Weissman, Marcus Carlsson","doi":"10.1016/j.jcmg.2024.08.010","DOIUrl":"10.1016/j.jcmg.2024.08.010","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142500765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Decreased LDL-Cholesterol Exposure Following ANGPTL3 Inhibition Reduces Coronary Plaque Development in Homozygous Familial Hypercholesterolemia 抑制 ANGPTL3 后低密度脂蛋白胆固醇暴露的减少可降低同型家族性高胆固醇血症患者冠状动脉斑块的形成。
IF 12.8 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-01 DOI: 10.1016/j.jcmg.2024.05.005
{"title":"Decreased LDL-Cholesterol Exposure Following ANGPTL3 Inhibition Reduces Coronary Plaque Development in Homozygous Familial Hypercholesterolemia","authors":"","doi":"10.1016/j.jcmg.2024.05.005","DOIUrl":"10.1016/j.jcmg.2024.05.005","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"17 10","pages":"Pages 1258-1260"},"PeriodicalIF":12.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141306024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
3-Dimensional Echocardiographic Prediction of Left Ventricular Outflow Tract Area Prior to Transcatheter Mitral Valve Replacement 经导管二尖瓣置换术前左心室流出道面积的三维超声心动图预测
IF 12.8 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-10-01 DOI: 10.1016/j.jcmg.2024.05.011
Joanna Bartkowiak MD , Chrisoula Dernektsi MD , Vratika Agarwal MD , Mark A. Lebehn MD , Treena A. Williams MS , Russel A. Brandwein MS , Nicolas Brugger MD , Christoph Gräni MD , Stephan Windecker MD , Torsten P. Vahl MD , Tamim M. Nazif MD , Isaac George MD , Susheel K. Kodali MD , Fabien Praz MD , Rebecca T. Hahn MD

Background

New postprocessing software facilitates 3-dimensional (3D) echocardiographic determination of mitral annular (MA) and neo–left ventricular outflow tract (neo-LVOT) dimensions in patients undergoing transcatheter mitral valve replacement (TMVR).

Objectives

This study aims to test the accuracy of 3D echocardiographic analysis as compared to baseline computed tomography (CT).

Methods

A total of 105 consecutive patients who underwent TMVR at 2 tertiary care centers between October 2017 and May 2023 were retrospectively included. A virtual valve was projected in both baseline CT and 3D transesophageal echocardiography (TEE) using dedicated software. MA dimensions were measured in baseline images and neo-LVOT dimensions were measured in baseline and postprocedural images. All measurements were compared to baseline CT as a reference. The predicted neo-LVOT area was correlated with postprocedural peak LVOT gradients.

Results

There was no significant bias in baseline neo-LVOT prediction between both imaging modalities. TEE significantly underestimated MA area, perimeter, and medial-lateral dimension compared to CT. Both modalities significantly underestimated the actual neo-LVOT area (mean bias pre/post TEE: 25.6 mm2, limit of agreement: −92.2 mm2 to 143.3 mm2; P < 0.001; mean bias pre/post CT: 28.3 mm2, limit of agreement: −65.8 mm2 to 122.4 mm2; P = 0.046), driven by neo-LVOT underestimation in the group treated with dedicated mitral valve bioprosthesis. Both CT- and TEE-predicted-neo-LVOT areas exhibited an inverse correlation with postprocedural LVOT gradients (r2 = 0.481; P < 0.001 for TEE and r2 = 0.401; P < 0.001 for CT).

Conclusions

TEE-derived analysis provides comparable results with CT-derived metrics in predicting the neo-LVOT area and peak gradient after TMVR.
背景:新的后处理软件有助于在接受经导管二尖瓣置换术(TMVR)的患者中通过三维(3D)超声心动图确定二尖瓣环(MA)和新左室流出道(neo-LVOT)的尺寸:本研究旨在检验三维超声心动图分析与基线计算机断层扫描(CT)相比的准确性:回顾性纳入了2017年10月至2023年5月期间在2家三级医疗中心接受TMVR的105例连续患者。使用专用软件在基线 CT 和三维经食道超声心动图(TEE)中投射虚拟瓣膜。在基线图像中测量 MA 的尺寸,在基线和手术后图像中测量新 LVOT 的尺寸。所有测量结果均与作为参考的基线 CT 进行比较。预测的新 LVOT 面积与手术后 LVOT 梯度峰值相关:结果:两种成像模式对基线新 LVOT 的预测无明显偏差。与 CT 相比,TEE 明显低估了 MA 面积、周长和内外侧尺寸。两种成像模式都明显低估了实际的 neo-LVOT 面积(TEE 前后的平均偏差:25.6 平方毫米,差异极限:-92.2 平方毫米至 143.3 平方毫米;P < 0.001;CT 前后的平均偏差:28.3 平方毫米,差异极限:-65.8 平方毫米至 122.4 平方毫米;P = 0.046),使用专用二尖瓣生物瓣膜治疗组的 neo-LVOT 被低估。CT 和 TEE 预测的新 LVOT 面积均与术后 LVOT 梯度呈反相关性(TEE 为 r2 = 0.481;P < 0.001;CT 为 r2 = 0.401;P < 0.001):结论:在预测 TMVR 后的新 LVOT 面积和峰值梯度方面,TEE 导出的分析结果与 CT 导出的指标相当。
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引用次数: 0
期刊
JACC. Cardiovascular imaging
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