METHODS: This retrospective study enrolled 119 patients who underwent DECT liver angiography at 2 medical centres preoperatively. To compare DECT parameters and laboratory findings between MVI-negative and MVI-positive groups, Mann-Whitney U test was used. Additionally, principal component analysis (PCA) was conducted to determine fundamental components. Mann-Whitney U test was applied to determine whether the principal component (PC) scores varied across MVI groups. Finally, a general linear classifier was used to assess the classification ability of each PC score.
RESULTS: Significant differences were noted (P < .05) in alpha-fetoprotein (AFP) level, normalized arterial phase IC, and normalized portal phase IC between the MVI groups in the primary and validation datasets. The PC1-PC4 accounted for 67.9% of the variance in the primary dataset, with loadings of 24.1%, 16%, 15.4%, and 12.4%, respectively. In both primary and validation datasets, PC3 and PC4 were significantly different across MVI groups, with area under the curve values of 0.8410 and 0.8373, respectively.
CONCLUSIONS: The recombination of DECT IC and laboratory features based on varying factor loadings can well predict MVI preoperatively.
CONCLUSIONS: Utilizing PCA, the amalgamation of DECT IC and laboratory features, considering diverse factor loadings, showed substantial promise in accurately classifying MVI. There have been limited endeavours to establish such a combination, offering a novel paradigm for comprehending data in related research endeavours.
方法:这项回顾性研究纳入了119例术前在两个医疗中心接受DECT肝血管造影的患者。为了比较MVI阴性和阳性组的DECT参数和实验室检查结果,使用Mann-WhitneyU检验。此外,进行主成分分析(PCA)以确定基本成分。采用Mann-WhitneyU检验确定MVI组的PC评分是否不同。最后,使用一般线性分类器评估各主成分(PC)评分的分类能力.
结果:甲胎蛋白(AFP)水平存在显着差异(P<0.05),归一化动脉期IC,主数据集和验证数据集中MVI组之间的标准化入口阶段IC。PC1-PC4占主要数据集中方差的67.9%,载荷为24.1%,16%,15.4%,和12.4%,分别。在主数据集和验证数据集中,PC3和PC4在MVI组之间有显著差异,曲线下面积值分别为0.8410和0.8373。
结论:基于不同因子负荷的DECT碘浓度和实验室特征的重组可以很好地预测术前MVI。
结论:利用主成分分析,双能计算机断层扫描碘浓度与实验室特征的融合,考虑到不同的因子负荷,在准确分类微血管侵犯方面显示出实质性的希望。建立这种组合的努力有限,为理解相关研究工作中的数据提供了一种新的范式。