Radiomic Features Are Superior to Conventional Quantitative Computed Tomographic Metrics to Identify Coronary Plaques With Napkin-Ring Sign.
Radiomic Features Are Superior to Conventional Quantitative Computed Tomographic Metrics to Identify Coronary Plaques With Napkin-Ring Sign.
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DOI：
10.1161/circimaging.117.006843
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发表时间：
2017-12
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影响因子：
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通讯作者：
Maurovich-Horvat P
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作者：
Kolossváry M;Karády J;Szilveszter B;Kitslaar P;Hoffmann U;Merkely B;Maurovich-Horvat P
补充数字内容可在文本中找到。纳普金环征（NRS）是主要心脏不良事件的独立预后影像学标志。然而，由于其定性性质，NRS的识别具有挑战性。放射组学是从医学图像中提取数千个定量参数的过程，以创建可以识别放射图像中不同模式的大数据数据集。因此，我们试图确定放射组学分析是否改善NRS斑块的鉴定。从2674例稳定性胸痛引起的冠状动脉计算机断层扫描血管造影患者中，专家阅片者确定了30例NRS斑块患者，并将其与30例钙化程度、管腔阻塞、定位和成像参数相似的非NRS斑块进行匹配。手动分割所有斑块，并使用放射组学图像分析软件包分析图像数据信息，以确定是否存在8个常规和4440个放射组学参数。我们使用对称性的排列检验来评估NRS和非NRS斑块之间的差异，而我们计算受试者工作特征的曲线下面积值来评估诊断准确性。Bonferroni校正的P<0.0012被认为是显著的。除20.6%（916/4440）的放射组学特征外，NRS斑块与非NRS斑块的常规定量参数无显著差异。其中几乎一半（418/916）达到曲线下面积值>0.80。短期和长期低灰度强调和高衰减体素的总表面的表面比具有最高的曲线下面积值（分别为0.918; 0.894和0.890）。NRS和非NRS斑块之间的大量放射组学特征是不同的，并表现出良好的区分价值。
Supplemental Digital Content is available in the text. Napkin-ring sign (NRS) is an independent prognostic imaging marker of major adverse cardiac events. However, identification of NRS is challenging because of its qualitative nature. Radiomics is the process of extracting thousands of quantitative parameters from medical images to create big-data data sets that can identify distinct patterns in radiological images. Therefore, we sought to determine whether radiomic analysis improves the identification of NRS plaques. From 2674 patients referred to coronary computed tomographic angiography caused by stable chest pain, expert readers identified 30 patients with NRS plaques and matched these with 30 non-NRS plaques with similar degree of calcification, luminal obstruction, localization, and imaging parameters. All plaques were segmented manually, and image data information was analyzed using Radiomics Image Analysis package for the presence of 8 conventional and 4440 radiomic parameters. We used the permutation test of symmetry to assess differences between NRS and non-NRS plaques, whereas we calculated receiver-operating characteristics’ area under the curve values to evaluate diagnostic accuracy. Bonferroni-corrected P<0.0012 was considered significant. None of the conventional quantitative parameters but 20.6% (916/4440) of radiomic features were significantly different between NRS and non-NRS plaques. Almost half of these (418/916) reached an area under the curve value >0.80. Short- and long-run low gray-level emphasis and surface ratio of high attenuation voxels to total surface had the highest area under the curve values (0.918; 0.894 and 0.890, respectively). A large number of radiomic features are different between NRS and non-NRS plaques and exhibit excellent discriminatory value.