Soft tissue sarcomas: IVIM and DKI correlate with the expression of HIF-1α on direct comparison of MRI and pathological slices

医学 盒内非相干运动 神经组阅片室 有效扩散系数 接收机工作特性 放射科 病理 曼惠特尼U检验 磁共振弥散成像 峰度 相关性 磁共振成像 核医学 内科学 神经学 数学 精神科 统计 几何学
作者
Xiangwen Li,Lin Yang,Qimeng Wang,Juan Tao,Ziang Pan,Shaowu Wang
出处
期刊:European Radiology [Springer Science+Business Media]
卷期号:31 (7): 4669-4679 被引量:18
标识
DOI:10.1007/s00330-020-07526-w
摘要

To investigate the correlation of intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) parameters with the expression of HIF-1α in soft tissue sarcoma (STS). This prospective study was approved by the institutional ethics committee. Written informed consent was obtained from all patients. Forty patients with STS who underwent 3.0 T MRI, including IVIM and DKI, were included in the study. Standard apparent diffusion coefficient (ADC), true ADC (Dslow), pseudo ADC (Dfast), perfusion fraction (f), mean kurtosis (MK), and mean diffusivity (MD) of each lesion were independently analyzed by two observers. An MRI-pathology control method was used to ensure correspondence between the MRI slices and the pathological sections. Spearman analysis, independent sample t test, Mann-Whitney U test, chi-squared test, and receiver operating characteristic (ROC) curve analysis were performed. Dslow and MD values showed a negative correlation with HIF-1α expression (r = − 0.469, − 0.588). MK and f values showed a positive correlation with HIF-1α expression (r = 0.779, 0.572). Dslow, MD, MK, and f values showed significant differences between the high- and low-expression groups. The MK value showed the best diagnostic ability. The optimal cut-off MK value of 0.604 was associated with 78.3% sensitivity and 88.2% specificity (area under the curve, 0.867). This preliminary study demonstrated the association of IVIM and DKI parameters with the expression of HIF-1α in STS. • IVIM and DKI parameters are correlated with the expression of HIF-1α in STS. • The MRI-pathology control method can be used in clinical studies to ensure correspondence between MRI slices and pathology sections.
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