Soft tissue sarcoma: intravoxel incoherent motion and diffusion kurtosis imaging parameters correlate with the histological grade and Ki-67 expression

医学 盒内非相干运动 核医学 曼惠特尼U检验 峰度 磁共振弥散成像 分级(工程) Ki-67 接收机工作特性 软组织肉瘤 相关性 病理 肉瘤 磁共振成像 免疫组织化学 放射科 内科学 数学 统计 土木工程 工程类 几何学
作者
Xiangwen Li,Juan Tao,Yifeng Zhu,Zhenzhen Yin,Yu Zhang,Shaowu Wang
出处
期刊:Acta Radiologica [SAGE Publishing]
卷期号:64 (4): 1546-1555 被引量:4
标识
DOI:10.1177/02841851221131931
摘要

Background Accurate prediction of the histological grade and Ki-67 expression of soft tissue sarcoma (STS) before surgery is essential for the subsequent diagnosis, treatment, and prognostic evaluation of patients. Purpose To evaluate intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) in predicting the histological grade and Ki-67 expression of STS. Material and Methods A total of 40 patients underwent 3-T MRI, including conventional sequences; IVIM and DKI parameters were obtained. All patients were divided into a low-grade (grade 1 and grade 2) group and a high-grade (grade 3) group through pathological analysis. Ki-67 expression of each lesion was calculated. Chi-square test, independent sample t-test, Mann–Whitney U test, Pearson, Spearman, and receiver operating characteristic curve analysis were performed. Results There were 17 patients in the low-grade group and 23 in the high-grade group. Ki-67 expression was in the range of 10%–80%. D value was inversely correlated with Ki-67 expression. MK value showed a moderate positive correlation with Ki-67 expression. Regarding histological grading, only the peritumoral enhancement was statistically different between low- and high-grade STS on conventional MRI ( P=0.024). The high-grade group had significantly higher MK value and lower D and MD value than the low-grade group. MK value showed the best diagnostic performance. The combination of MK and MD yielded the highest specificity (88.24%), and the combination of D, MK, and MD yielded the best area under the curve value (0.841) and sensitivity (95.65%). Conclusion IVIM and DKI parameters were correlated with Ki-67 expression and could help differentiate between low- and high-grade STS.
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