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多体素不相干运动扩散加权成像衍生低氧值对前列腺癌外周带危险分层的价值。

The performance of intravoxel-incoherent motion diffusion-weighted imaging derived hypoxia for the risk stratification of prostate cancer in peripheral zone.

机构信息

Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China.

Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, PR China.

出版信息

Eur J Radiol. 2020 Apr;125:108865. doi: 10.1016/j.ejrad.2020.108865. Epub 2020 Feb 6.

Abstract

PURPOSE

To assess the association between intravoxel-incoherent motion diffusion-weighted imaging (IVIM) derived hypoxia and the aggressiveness of prostate cancer (PCa) and to explore its contribution to the risk stratification of PCa.

METHODS

Seventy-five peripheral zone (PZ) PCa patients, who underwent multiparametric MRI (mpMRI), were included in this study. Systematic ultrasound guided biopsy was used as reference. IVIM was acquired with 5 b values (b = 0∼750 s/mm). Apparent diffusion coefficient (ADC), pure tissue diffusion (Ds), volume fraction of pseudo-diffusion (fp), hypoxic fraction (HF), hypoxia score (HS) and relative oxygen saturation(rOS), were calculated and histogram analysis was applied. Groups comparison was performed between low-intermediate-grade group (LG, the International Society of Urological Pathology (ISUP) Gleason Grade (GG) ≤2) and high-grade (HG, ISUP GG ≥ 3) group. The correlation between diffusion parameters and ISUP GG was assessed. Cross-validated Support Vector Machine (SVM) Classification was performed and compared with univariate ROC analysis to explore the risk stratification of PZ PCa.

RESULTS

Mean, median, and the 10th percentile of Ds differed significantly between groups (p < 0.05). Several parameters significantly correlated with ISUP grade, and the 10th percentile of Ds showed the strongest correlation (ρ= - 0.284). The prediction model containing IVIM derived hypoxia yielded an area under the receiver operating characteristics curve (AUC) ranging 0.749-0.786 for cross-validation. The AUCs of the SVM modeling were higher than that of any single parameter.

CONCLUSION

IVIM derived hypoxia demonstrated significant correlation with the aggressiveness of PCa. It's supplemental to the MRI assessment of PCa with a promising stratification of risk stratification of PZ PCa.

摘要

目的

评估体素内不相干运动扩散加权成像(IVIM)衍生的缺氧与前列腺癌(PCa)侵袭性之间的相关性,并探讨其对 PCa 风险分层的贡献。

方法

本研究纳入了 75 例接受多参数 MRI(mpMRI)检查的外周带(PZ)PCa 患者。以系统超声引导活检作为参考。采用 5 个 b 值(b = 0∼750 s/mm)采集 IVIM。计算表观扩散系数(ADC)、纯组织扩散(Ds)、假性扩散体积分数(fp)、缺氧分数(HF)、缺氧评分(HS)和相对氧饱和度(rOS),并进行直方图分析。在低中级组(LG,国际泌尿病理学会(ISUP)Gleason 分级(GG)≤2)和高级组(HG,ISUP GG≥3)之间进行组间比较。评估扩散参数与 ISUP GG 的相关性。进行交叉验证支持向量机(SVM)分类,并与单变量 ROC 分析进行比较,以探讨 PZ PCa 的风险分层。

结果

组间 Ds 的平均值、中位数和第 10 百分位数差异有统计学意义(p<0.05)。多个参数与 ISUP 分级显著相关,Ds 的第 10 百分位数相关性最强(ρ=-0.284)。包含 IVIM 衍生缺氧的预测模型在交叉验证中得到的受试者工作特征曲线(ROC)下面积(AUC)范围为 0.749-0.786。SVM 建模的 AUC 高于任何单一参数。

结论

IVIM 衍生的缺氧与 PCa 的侵袭性显著相关。它对 PCa 的 MRI 评估具有补充作用,对 PZ PCa 的风险分层具有较好的分层作用。

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