Application of CT texture analysis in predicting histopathological characteristics of gastric cancers
Application of CT texture analysis in predicting histopathological characteristics of gastric cancers
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CT纹理分析在预测胃癌组织病理学特征中的应用
DOI：
10.1007/s00330-017-4881-1
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发表时间：
2017-12-01
影响因子：
5.9
通讯作者：
Zhou, Zhengyang
中科院分区：
文献类型：
--
作者：
Liu, Shunli;Liu, Song;Zhou, Zhengyang
为探讨CT纹理分析在预测胃癌组织病理学特征中的应用，回顾性分析了107例胃癌患者（男82例，女25例）术前CT增强扫描图像及术后组织病理学特征。生成的CT纹理分析：（1）平均衰减，（2）标准偏差，（3）最大频率，（4）模式，（5）最小衰减，（6）最大衰减，（7）第5、第10、第25、第50、第75和第90次衰减，以及（8）熵。分析了CT纹理参数与组织病理学特征的相关性，门静脉CT图像的平均衰减、最大衰减、全幅值和模态与胃癌的分化程度和Lauren分型显著相关（r分别为-0.231和-0.324，0.228和0.321）。动脉CT图像的标准差和熵值与胃癌Lauren分型相关（r分别为-0.265、-0.222）。在动脉期分析中，有血管侵犯的胃癌的标准差和熵值明显低于无血管侵犯的胃癌;而有血管侵犯的胃癌最小密度值明显高于无血管侵犯的胃癌，CT纹理分析在预测胃癌分化程度方面具有很大的潜力，胃癌的Lauren分型和血管侵犯情况。CT纹理分析是一种无创性的、有效的方法。静脉期CT图像与分化程度、Lauren分型有显著相关性，动脉期的标准差、熵值、最小衰减值反映了血管的侵犯情况。
To explore the application of computed tomography (CT) texture analysis in predicting histopathological features of gastric cancers.Preoperative contrast-enhanced CT images and postoperative histopathological features of 107 patients (82 men, 25 women) with gastric cancers were retrospectively reviewed. CT texture analysis generated: (1) mean attenuation, (2) standard deviation, (3) max frequency, (4) mode, (5) minimum attenuation, (6) maximum attenuation, (7) the fifth, 10th, 25th, 50th, 75th and 90th percentiles, and (8) entropy. Correlations between CT texture parameters and histopathological features were analysed.Mean attenuation, maximum attenuation, all percentiles and mode derived from portal venous CT images correlated significantly with differentiation degree and Lauren classification of gastric cancers (r, -0.231 similar to -0.324, 0.228 similar to 0.321, respectively). Standard deviation and entropy derived from arterial CT images also correlated significantly with Lauren classification of gastric cancers (r = -0.265, -0.222, respectively). In arterial phase analysis, standard deviation and entropy were significantly lower in gastric cancers with than those without vascular invasion; however, minimum attenuation was significantly higher in gastric cancers with than those without vascular invasion.CT texture analysis held great potential in predicting differentiation degree, Lauren classification and vascular invasion status of gastric cancers.aEuro cent CT texture analysis is noninvasive and effective for gastric cancer.aEuro cent Portal venous CT images correlated significantly with differentiation degree and Lauren classification.aEuro cent Standard deviation, entropy and minimum attenuation in arterial phase reflect vascular invasion.