In vivo semi-automatic segmentation of multicontrast cardiovascular magnetic resonance for prospective cohort studies on plaque tissue composition: initial experience.
In vivo semi-automatic segmentation of multicontrast cardiovascular magnetic resonance for prospective cohort studies on plaque tissue composition: initial experience.
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DOI：
10.1007/s10554-015-0704-0
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发表时间：
2016-01
期刊：
影响因子：
--
通讯作者：
Yuan C
中科院分区：
文献类型：
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作者：
Yoneyama T;Sun J;Hippe DS;Balu N;Xu D;Kerwin WS;Hatsukami TS;Yuan C
在大规模或多中心研究中，已提出将多对比（多序列）颈动脉磁共振斑块成分的自动体内分割作为手动审查的替代品，以节省时间并减少阅片者之间的差异。利用一项前瞻性纵向研究的系列图像，我们试图比较半自动方法与专家人类阅读在分析颈动脉粥样硬化进展方面的差异。来自59例颈动脉狭窄16-79%的无症状受试者的基线和6个月随访多重对比颈动脉图像由两名经过培训的放射科医生进行审查，这些放射科医生在颈动脉斑块MRI表征和先前报告的自动动脉粥样硬化斑块分割算法（称为形态学增强的概率斑块分割（MEPPS））方面具有2-4年的专业经验。使用组内相关系数（ICC）评估各个时间点的测量结果以及成分变化的一致性。手动和MEPPS审查在钙化（CA）（面积：ICC; 0.85-0.91;体积：ICC; 0.92-0.95）和富脂坏死核心（LRNC）（面积：ICC; 0.78-0.82;体积：ICC; 0.84-0.86）的各个时间点上具有良好的一致性。对于成分变化，CA体积变化（ICC; 0.78）和LRNC体积变化（ICC; 0.49）的一致性良好。MEPPS审查发现与LRNC进展相关的因素包括斑块内出血（正相关）和低密度脂蛋白胆固醇降低（负相关），这与先前手动审查的结果一致。在颈动脉粥样硬化进展的前瞻性系列MRI研究中，斑块成分自动分类器产生的结果与专家手动审查相似。这样的自动分类工具可以通过减少图像分析时间和避免人类评审员之间的偏差，在大规模多中心研究中是有益的。
Automatic in vivo segmentation of multicontrast (multisequence) carotid magnetic resonance for plaque composition has been proposed as a substitute for manual review to save time and reduce inter-reader variability in large-scale or multicenter studies. Using serial images from a prospective longitudinal study, we sought to compare a semi-automatic approach versus expert human reading in analyzing carotid atherosclerosis progression. Baseline and 6-month follow-up multicontrast carotid images from 59 asymptomatic subjects with 16–79% carotid stenosis were reviewed by both trained radiologists with 2–4 years of specialized experience in carotid plaque characterization with MRI and a previously reported automatic atherosclerotic plaque segmentation algorithm, referred to as Morphology-Enhanced Probabilistic Plaque Segmentation (MEPPS). Agreement on measurements from individual time points, as well as on compositional changes, was assessed using the intraclass correlation coefficient (ICC). There was good agreement between manual and MEPPS reviews on individual time points for calcification (CA) (area: ICC; 0.85–0.91; volume: ICC; 0.92–0.95) and lipid-rich necrotic core (LRNC) (area: ICC; 0.78–0.82; volume: ICC; 0.84–0.86). For compositional changes, agreement was good for CA volume change (ICC; 0.78) and moderate for LRNC volume change (ICC; 0.49). Factors associated with LRNC progression as detected by MEPPS review included intraplaque hemorrhage (positive association) and reduction in low-density lipoprotein cholesterol (negative association), which were consistent with previous findings from manual review. Automatic classifier for plaque composition produced results similar to expert manual review in a prospective serial MRI study of carotid atherosclerosis progression. Such automatic classification tools may be beneficial in large-scale multicenter studies by reducing image analysis time and avoiding bias between human reviewers.