Sensitivity of Myocardial Radiomic Features to Imaging Parameters in Cardiac MR Imaging.
Sensitivity of Myocardial Radiomic Features to Imaging Parameters in Cardiac MR Imaging.
复制标题
心肌放射组学特征对心脏MR成像参数的敏感性。
DOI：
10.1002/jmri.27581
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发表时间：
2021-09
影响因子：
4.4
通讯作者：
Nezafat, Reza
中科院分区：
文献类型：
--
作者：
Jang, Jihye;El-Rewaidy, Hossam;Ngo, Long H.;Mancio, Jennifer;Csecs, Ibolya;Rodriguez, Jennifer;Pierce, Patrick;Goddu, Beth;Neisius, Ulf;Manning, Warren;Nezafat, Reza
心脏磁共振（MR）图像通常采用不同的成像参数采集，这可能会影响心肌放射组学特征的计算值。研究心肌放射组学特征对心脏MR图像中成像参数变化的敏感性。有前途。共11名健康参与者/5名患者。3 T/电影平衡稳态自由进动、T1加权扰相梯度回波、T2加权快速自旋回波以及定量T1和T2标测。对于每个序列，翻转角，平面内分辨率，切片厚度和平行成像技术是不同的，以研究放射组学特征的灵敏度，成像参数的变化。由有经验的读者手动描绘心肌轮廓，并使用PyRadiomics与11个图像过滤器和6个功能家族共提取了1023个放射组学特征。灵敏度被定义为标准化的平均差异（D效应大小），稳健特征被定义为灵敏度< 0.2。对预定义的可再现特征集进行灵敏度分析。使用16个受试者的整个队列进行分析。64%的放射组学特征对任何成像参数的变化都是稳健的（灵敏度< 0.2）。在定性序列中，放射组学特征对平面内空间分辨率的变化最为敏感（空间分辨率：0.6 vs.翻转角：0.19，平行成像：0.18，层厚：0.07; P < 0.01）;在定量序列中，放射组学特征对空间分辨率变化的敏感性最低（空间分辨率：0.07 vs.层厚：0.16，翻转角：0.24; P < 0.01）。在单个特征水平上，没有单一特征家族/图像滤波器被识别为跨序列的鲁棒性（灵敏度< 0.2）;然而，高灵敏度特征主要与跨所有序列的高频小波滤波器相关（32/50特征）。在心脏MR中，相当多的放射组学特征对序列参数的变化敏感。1阶段1
Cardiac magnetic resonance (MR) images are often collected with different imaging parameters, which may impact the calculated values of myocardial radiomic features. To investigate the sensitivity of myocardial radiomic features to changes in imaging parameters in cardiac MR images. Prospective. A total of 11 healthy participants/five patients. A 3 T/cine balanced steady-state free-precession, T1-weighted spoiled gradient-echo, T2-weighted turbo spin-echo, and quantitative T1 and T2 mapping. For each sequence, the flip angle, in-plane resolution, slice thickness, and parallel imaging technique were varied to study the sensitivity of radiomic features to alterations in imaging parameters. Myocardial contours were manually delineated by experienced readers, and a total of 1023 radiomic features were extracted using PyRadiomics with 11 image filters and six feature families. Sensitivity was defined as the standardized mean difference (D effect size), and the robust features were defined at sensitivity < 0.2. Sensitivity analysis was performed on predefined sets of reproducible features. The analysis was performed using the entire cohort of 16 subejcts. 64% of radiomic features were robust (sensitivity < 0.2) to changes in any imaging parameter. In qualitative sequences, radiomic features were most sensitive to changes in in-plane spatial resolution (spatial resolution: 0.6 vs. flip angle: 0.19, parallel imaging: 0.18, slice thickness: 0.07; P < 0.01 for all); in quantitative sequences, radiomic features were least sensitive to changes in spatial resolution (spatial resolution: 0.07 vs. slice thickness: 0.16, flip angle: 0.24; P < 0.01 for all). In an individual feature level, no singular feature family/image filter was identified as robust (sensitivity < 0.2) across sequences; however, highly sensitive features were predominantly associated with high-frequency wavelet filters across all sequences (32/50 features). In cardiac MR, a considerable number of radiomic features are sensitive to changes in sequence parameters. 1 Stage 1
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影响因子：
11.2
作者：
van Griethuysen JJM;Fedorov A;Parmar C;Hosny A;Aucoin N;Narayan V;Beets-Tan RGH;Fillion-Robin JC;Pieper S;Aerts HJWL
通讯作者：
Aerts HJWL
影响因子：
5
作者：
Balagurunathan, Yoganand;Gu, Yuhua;Gillies, Robert J.
通讯作者：
Gillies, Robert J.
影响因子：
19.7
作者：
Baessler, Bettina;Luecke, Christian;Lurz, Philipp
通讯作者：
Lurz, Philipp
DOI：
10.1097/01.rmr.0000136558.09801.dd
发表时间：
2004-08-01
期刊：
Topics in magnetic resonance imaging : TMRI
影响因子：
--
作者：
Blaimer, Martin;Breuer, Felix;Jakob, Peter M
通讯作者：
Jakob, Peter M
影响因子：
3.7
作者：
Cheng NM;Fang YH;Tsan DL;Hsu CH;Yen TC
通讯作者：
Yen TC