Myocardial Regional Shortening from 4D Cardiac CT Angiography for the Detection of Left Ventricular Segmental Wall Motion Abnormality.
Myocardial Regional Shortening from 4D Cardiac CT Angiography for the Detection of Left Ventricular Segmental Wall Motion Abnormality.
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4D 心脏 CT 血管造影的心肌区域缩短用于检测左心室节段性壁运动异常。
DOI：
10.1148/ryct.220134
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
McVeigh,Elliot
中科院分区：
文献类型：
--
作者：
Chen,Zhennong;Contijoch,Francisco;Kahn,AndrewM;Kligerman,Seth;Narayan,HariK;Manohar,Ashish;McVeigh,Elliot
目的探讨四维 (4D) CT 血管造影 (RSCT) 计算的心内膜区域缩短是否可用作决策分类器来检测左心室 (LV) 室壁运动异常 (WMA) 的存在。材料和方法回顾性分析了 2018 年 4 月至 2020 年 12 月期间进行的 100 项心电图门控心脏 4D CT 研究（平均年龄，59 岁±14 [SD]；61 名男性患者）评价。三位专家将美国心脏协会 (AHA) 16 个节段的左心室壁运动标记为正常或异常；他们还测量了每个节段中一次心跳的峰值 RSCTa。数据集被平均分为训练组和验证组。在培训期间，使用个体等效指数 (γ) 评估了 RSCT 阈值与专家检测 WMA 的互换性，并确定了达到最大一致性的峰值 RSCT (RSCT*) 的最佳阈值。然后使用验证组验证 RSCT*，并评估 AHA 节段特定阈值的效果。使用 κ 统计数据评估一致性。结果当应用于所有 AHA 细分时，最佳阈值 RSCT* 为 -0.19，可实现高度一致性（一致性率 = 92.17%，κ = 0.82）以及与专家的可互换性（γ = -2.58%）。同样的 RSCT* 在验证组中也取得了很高的一致性（一致性 = 90.29%，κ = 0.76，γ = -0.38%）。使用 AHA 节段特定阈值（范围：跨 AHA 节段 0.16 至 -0.23）略有改善一致性（增加 1.79%）。结论 RSCT 阈值在从 4D CT 检测节段 WMA 时可与专家视觉分析互换，并且可用作客观决策分类器。关键词：CT、左心室、区域心内膜缩短、室壁运动异常© RSNA，2023
PurposeTo investigate whether endocardial regional shortening computed from four-dimensional (4D) CT angiography (RSCT) can be used as a decision classifier to detect the presence of left ventricular (LV) wall motion abnormalities (WMAs).Materials and MethodsOne hundred electrocardiographically gated cardiac 4D CT studies (mean age, 59 years ± 14 [SD]; 61 male patients) conducted between April 2018 and December 2020 were retrospectively evaluated. Three experts labeled LV wall motion in each of the 16 American Heart Association (AHA) segments as normal or abnormal; they also measured peak RSCTacross one heartbeat in each segment. The data set was split evenly into training and validation groups. During training, interchangeability of RSCTthresholding with experts to detect WMA was assessed using the individual equivalence index (γ), and an optimal threshold of the peak RSCT(RSCT*) that achieved maximum agreement was identified. RSCT* was then validated using the validation group, and the effect of AHA segment–specific thresholds was evaluated. Agreement was assessed using κ statistics.ResultsThe optimal threshold, RSCT* of -0.19, when applied to all AHA segments, led to high agreement (agreement rate = 92.17%, κ = 0.82) and interchangeability with experts (γ = -2.58%). The same RSCT* also achieved high agreement in the validation group (agreement rate = 90.29%, κ = 0.76, γ = -0.38%). The use of AHA segment–specific thresholds (range: 0.16 to -0.23 across AHA segments) slightly improved agreement (1.79% increase).ConclusionRSCTthresholding was interchangeable with expert visual analysis in detecting segmental WMA from 4D CT and may be used as an objective decision classifier.Keywords:CT, Left Ventricle, Regional Endocardial Shortening, Wall Motion Abnormality© RSNA, 2023
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DOI：
10.1007/s10554-019-01696-5
发表时间：
2020-01-01
影响因子：
2.1
作者：
Peled, Zvi;Lamash, Yechiel;Lessick, Jonathan
通讯作者：
Lessick, Jonathan
影响因子：
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作者：
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通讯作者：
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DOI：
10.1093/ehjdh/ztab033
发表时间：
2021-06
期刊：
European heart journal. Digital health
影响因子：
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作者：
Chen Z;Rigolli M;Vigneault DM;Kligerman S;Hahn L;Narezkina A;Craine A;Lowe K;Contijoch F
通讯作者：
Contijoch F
影响因子：
39.3
作者：
Flachskampf, Frank A.;Schmid, Michael;Daniel, Werner G.
通讯作者：
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影响因子：
3.8
作者：
Manohar, Ashish;Colvert, Gabrielle M.;Ortuno, Juan E.;Chen, Zhennong;Yang, James;Colvert, Brendan T.;Bandettini, W. Patricia;Chen, Marcus Y.;Ledesma-Carbayo, Maria J.;McVeigh, Elliot R.
通讯作者：
McVeigh, Elliot R.