CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题：Associations between MRI radiomics analysis and tumor-micro milieu in uterine cervical cancer.
Associations between MRI radiomics analysis and tumor-micro milieu in uterine cervical cancer.
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源自 MRI 的影像组学特征能够反映 UCC 的肿瘤特征。特别是免疫相关特征通过 MRI 纹理特征得以体现。增殖潜能、细胞外基质组成及肿瘤-间质比也与影像组学特征显著相关。这些呈现的结果需要在独立队列中进行评估，以检验其稳定性。
当使用放射组学方法进行分析时，磁共振成像（MRI）可以反映肿瘤微环境的复杂相互作用。对于几种肿瘤实体，研究表明源自 MRI 的放射组学可以反映肿瘤的重要特征。本研究调查了来自 MRI 图像的放射组学与宫颈癌的组织病理学特征之间的关联。
治疗前的MRI用于提取T1和T2加权图像的影像组学特征。活检标本进行了Ki 67、e-cadherin、vimentin、programmed-death ligand 1和TIL（肿瘤浸润淋巴细胞）（TIL，所有CD45阳性细胞）的染色。肿瘤-间质比（TSR）在常规H&E标本上计算。Spearman相关分析和判别分析作为统计分析方法进行。
患者样本由89名女性患者组成，平均年龄为49.3岁 14.6（范围27-77岁），患有鳞状细胞宫颈癌。应用造影剂后T1加权图像得出的“Kurtosis”与Ki-67指数相关（r = 0.28，p = 0.02）。T2加权图像得出的“WavEnHL_s-4”和应用造影剂后T1加权图像得出的“S(1.0)Contrast”显示与TSR相关（r = - 0.24，p = 0.04，各自）。在放射组学特征与由programmed-death ligand 1定义的免疫评分之间识别出若干关联，最高相关性显示T2加权图像得出的Teta1与联合阳性评分相关（r = - 0.38，p < 0.01）。与vimentin表达存在若干关联，最高显示应用造影剂后T1加权图像得出的“Variance”（r = 0.46，p < 0.01）。
The complex interactions of the tumor micromilieu could be reflected by magnetic resonance imaging (MRI) when analyzed with the radiomics approach. For several tumor entities, it has been shown that radiomics derived from MRI can reflect important characteristics of the tumors. The present study investigated the association radiomics derived from MRI images and histopathological features in uterine cervical cancer.
The MRI before any treatment was used to extract the radiomics features of T1- and T2-weighted images. The biopsy specimens were stained for Ki 67, e-cadherin, vimentin, programmed-death ligand 1, and tumor-infiltrating lymphocytes (TIL, all CD45 positive cells). Tumor-stroma ratio (TSR) was calculated on routine H&E specimen. Spearman's correlation analysis and discrimination analyses were performed as statistical analyses.
The patient sample was comprised of 89 female patients with a mean age of 49.3 years 14.6 (range 27-77 years) with squamous cell cervical carcinoma. "Kurtosis" derived from T1-weighted images after contrast media application correlated with the Ki-67 index (r = 0.28, p = 0.02). "WavEnHL_s-4" derived from T2-weighted images and "S(1.0)Contrast" derived from T1-weighted images after contrast media application showed correlations with TSR (r = - 0.24, p = 0.04, each). Several associations were identified between the radiomics features with immune scores defined by programmed-death ligand 1, the highest correlation showed Teta1 derived from T2-weighted images with the combined positive score (r = - 0.38, p < 0.01). There were several associations with vimentin expression, the highest showed "Variance" derived from T1-weighted images after contrast media application (r = 0.46, p < 0.01).
Radiomics features derived from MRI can reflect tumor characteristics of UCC. Especially immune-related features were reflected by the MRI texture features. Proliferation potential, composition of the extracellular matrix and tumor-stroma ratio were also significantly associated with radiomics features. These presented results need to be evaluated in an independent cohort to test their stability.
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