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Whole‐volume apparent diffusion coefficient‐based entropy parameters for assessment of gastric cancer aggressiveness

机译:基于整体表观漫射系数的熵参数,用于评估胃癌侵略性

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Purpose To explore the role of whole‐volume apparent diffusion coefficient (ADC)‐based entropy parameters in the preoperative assessment of gastric cancer's aggressiveness. Materials and Methods In all, 64 patients with gastric cancers who underwent 3.0T magnetic resonance imaging (MRI) were retrospectively included. Regions of interest were drawn manually using in‐house software, around gastric cancer lesions on each slice of the diffusion‐weighted images and ADC maps. Entropy‐related parameters based on ADC maps were calculated automatically: (1) first‐order entropy; (2–5) second‐order entropies, including entropy(H) 0 , entropy(H) 45 , entropy(H) 90 , and entropy(H) 135 ; (6) entropy(H) mean ; and (7) entropy(H) range . Correlations between entropy‐related parameters and pathological characteristics were analyzed with the Spearman correlation test. The parameters were compared among different pathological characteristics with independent‐samples Kruskal–Wallis or Mann–Whitney U ‐test. Additionally, diagnostic performances of parameters in differentiating different pathological characteristics were analyzed by receiver operating characteristic (ROC) curve analysis. Results All the entropy‐related parameters significantly correlated with T, N, and overall stages, especially the first‐order entropy ( r = 0.588, 0.585, and 0.677, respectively, all P 0.05). All the entropy‐related parameters showed significant differences in gastric cancers at different T, N, and overall stages, as well as at different status of vascular invasion ( P 0.001–0.027). And four parameters, including entropy, entropy(H) 0 , entropy(H) 45 , and entropy(H) 90 , showed significant differences between gastric cancers with and without perineural invasion ( P 0.006–0.040). Conclusion Entropy‐related parameters derived from whole‐volume ADC texture analysis could help assess the aggressiveness of gastric cancers via analyzing intratumoral heterogeneity quantitatively, especially the first‐order entropy. Level of Evidence: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:168–175.
机译:目的探讨全体积明显扩散系数(ADC)基础熵参数在胃癌侵略性术前评估中的作用。所有,64例胃癌患者的材料和方法回顾性地进行了3.0T磁共振成像(MRI)。利益区域使用内部软件手动使用内部软件,周围的胃癌病变在各个漫反射加权图像和ADC地图上。基于ADC地图的熵相关参数自动计算:(1)一阶熵; (2-5)二阶进肠,包括熵(h)0,熵(h)45,熵(h)90,熵(h)135; (6)熵(h)是指; (7)熵(h)范围。用Spearman相关试验分析了熵相关参数和病理特征之间的相关性。将参数与独立样品Kruskal-Wallis或Mann-Whitney U -Test进行了不同的病理特征。另外,通过接收器操作特征(ROC)曲线分析分析了区分不同病理特征的参数的诊断性能。结果所有熵相关参数与T,N和整体阶段显着相关,尤其是一阶熵(r = 0.588,0.585和0.677,所有P <0.05)。所有熵相关参数显示出不同T,N和总阶段的胃癌的显着差异,以及血管侵袭的不同状态(P <0.001-027)。和四个参数,包括熵,熵(h)0,熵(h)45和熵(h)90,胃癌有和没有腐蚀性侵袭的显着差异(p 0.006-0.040)。结论来自全体积ADC纹理分析的熵相关参数可以通过定量分析肿瘤异质性,特别是一阶熵来帮助评估胃癌的侵袭性。证据水平:2技术疗效:第2阶段J. MANG。恢复。 2018年成像; 47:168-175。

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    Department of Radiology Nanjing Drum Tower HospitalAffiliated Hospital of Nanjing University;

    Department of Radiology Nanjing Drum Tower HospitalAffiliated Hospital of Nanjing University;

    Department of Radiology Nanjing Drum Tower HospitalAffiliated Hospital of Nanjing University;

    Department of Pathology Nanjing Drum Tower HospitalAffiliated Hospital of Nanjing University;

    Department of Gastrointestinal Surgery Nanjing Drum Tower HospitalAffiliated Hospital of Nanjing;

    School of Electronic Science and EngineeringNanjing UniversityNanjing P.R. China;

    School of Electronic Science and EngineeringNanjing UniversityNanjing P.R. China;

    Department of Radiology Nanjing Drum Tower HospitalAffiliated Hospital of Nanjing University;

    Department of Radiology Nanjing Drum Tower HospitalAffiliated Hospital of Nanjing University;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 诊断学;
  • 关键词

    diffusion weighted magnetic resonance imaging; stomach neoplasm; entropy; aggressiveness;

    机译:扩散加权磁共振成像;胃肿瘤;熵;侵略性;
  • 入库时间 2022-08-20 09:36:12

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