Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada.
McMaster University, Hamilton, Canada.
Abdom Radiol (NY). 2021 Mar;46(3):1027-1033. doi: 10.1007/s00261-020-02759-1. Epub 2020 Sep 16.
To determine equivalency of multi-slice 3D CTTA and single slice 2D CTTA of pancreas adenocarcinoma.
This retrospective study was research ethics board approved. Untreated pancreas adenocarcinomas were segmented on CT in 128 consecutive patients. Tumor segmentation was compared using two techniques: 3D segmentation by contouring all visible tumor in a 3D volume, and 2D segmentation using only a single axial image. First-order CTTA features including mean, minimum, maximum Hounsfield units (HU), standard deviation, skewness, kurtosis, entropy, and second-order gray-level co-occurrence matrix (GLCM) features homogeneity, contrast, correlation, entropy and dissimilarity were extracted. Median values were compared using the Mann-Whitney U test with Holm-Bonferroni correction. Kendall's Rank Correlation Tau assessed for correlation, and agreement was calculated using intraclass correlation coefficients (ICC) using a two-way model with single rating and absolute agreement. Statistical significance defined as P < 0.05.
The median values of CTTA features differed significantly between 3 and 2D segmentations for all of the evaluated features except for mean attenuation, standard deviation and skewness (P = 0.2979 each). 3D and 2D segmentations had moderate correlation for mean attenuation (R = 0.69, P < 0.01), while all other features demonstrated poor to fair correlation. Agreement between 3 and 2D segmentations was good for mean attenuation (ICC: 0.87, P < 0.01), moderate for minimum (ICC: 0.65, P < 0.01) and standard deviation (ICC: 0.56, P < 0.01), and poor for all other features.
While pancreas adenocarcinoma CTTA features obtained using 3D and 2D segmentation have multiple associations with clinically relevant outcomes, these segmentation techniques are likely not interchangeable other than for mean HU.
确定多层 3D CTTA 与胰腺腺癌单层 2D CTTA 的等效性。
这是一项回顾性研究，已获得伦理委员会批准。对 128 例未经治疗的胰腺腺癌患者的 CT 进行肿瘤分段。使用两种技术比较肿瘤分段：通过在 3D 容积中勾画所有可见肿瘤进行 3D 分段，以及仅使用单个轴向图像进行 2D 分段。提取了一阶 CTTA 特征，包括平均、最小、最大亨氏单位（HU）、标准差、偏度、峰度、熵和二阶灰度共生矩阵（GLCM）特征同质性、对比度、相关性、熵和不相似性。使用带有 Holm-Bonferroni 校正的 Mann-Whitney U 检验比较中位数值。Kendall 秩相关 Tau 用于评估相关性，使用双向模型、单个评分和绝对一致性计算组内相关系数（ICC）。统计显著性定义为 P<0.05。
除平均衰减值外，所有评估特征的 3D 和 2D 分段的 CTTA 特征中位数值均存在显著差异（每个 P<0.05）。3D 和 2D 分段的平均衰减值具有中度相关性（R=0.69，P<0.01），而所有其他特征均显示出较差到中等的相关性。3D 和 2D 分段之间的一致性对于平均衰减值较好（ICC：0.87，P<0.01），对于最小衰减值（ICC：0.65，P<0.01）和标准差（ICC：0.56，P<0.01）为中度，对于所有其他特征为较差。
虽然使用 3D 和 2D 分段获得的胰腺腺癌 CTTA 特征与临床相关结局有多种关联，但这些分段技术除了平均 HU 之外，可能不能互换使用。
