The performance of intravoxel-incoherent motion diffusion-weighted imaging derived hypoxia for the risk stratification of prostate cancer in peripheral zone
Chen, Zhongwei2; Xue, Yingnan2; Zhang, Zhao2; Li, Weikang2; Wen, Min3; Zhao, Youfan2; Li, Jiance2; Weng, Zhiliang4; Ye, Qiong1,2
刊名EUROPEAN JOURNAL OF RADIOLOGY
2020-04-01
卷号125
关键词Prostate cancer Hypoxia Diffusion Support vector machines Multiparametric magnetic resonance imaging
ISSN号0720-048X
DOI10.1016/j.ejrad.2020.108865
通讯作者Ye, Qiong(94301699@qq.com)
英文摘要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 similar to 750 s/mm(2)). Apparent diffusion coefficient (ADC), pure tissue diffusion (Ds), volume fraction of pseudo-diffusion (fp), hypoxic fraction (HFDWI), hypoxia score (HSDWI) and relative oxygen saturation(rOS(DWI)), 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 (p = - 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.
资助项目National Natural Science Foundation of China[81401544] ; Natural Science Foundation of Zhejiang Province of China[LQ14H180006]
WOS关键词ISUP CONSENSUS CONFERENCE ; MULTI-PARAMETRIC MRI ; INTERNATIONAL-SOCIETY ; MULTIPARAMETRIC MRI ; HISTOGRAM ANALYSIS ; TUMOR HYPOXIA ; GLEASON GRADE ; INDEX LESION ; PATHOLOGY ; CARCINOMA
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
语种英语
出版者ELSEVIER IRELAND LTD
WOS记录号WOS:000522392200033
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Zhejiang Province of China
内容类型期刊论文
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/103533]  
专题中国科学院合肥物质科学研究院
通讯作者Ye, Qiong
作者单位1.Chinese Acad Sci, Hefei Inst Phys Sci, High Magnet Field Lab, Hefei, Anhui, Peoples R China
2.Wenzhou Med Univ, Affiliated Hosp 1, Dept Radiol, Wenzhou, Zhejiang, Peoples R China
3.Wenzhou Med Univ, Affiliated Hosp 1, Dept Neurosurg, Wenzhou, Zhejiang, Peoples R China
4.Wenzhou Med Univ, Affiliated Hosp 1, Dept Urol, Wenzhou, Zhejiang, Peoples R China
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Chen, Zhongwei,Xue, Yingnan,Zhang, Zhao,et al. The performance of intravoxel-incoherent motion diffusion-weighted imaging derived hypoxia for the risk stratification of prostate cancer in peripheral zone[J]. EUROPEAN JOURNAL OF RADIOLOGY,2020,125.
APA Chen, Zhongwei.,Xue, Yingnan.,Zhang, Zhao.,Li, Weikang.,Wen, Min.,...&Ye, Qiong.(2020).The performance of intravoxel-incoherent motion diffusion-weighted imaging derived hypoxia for the risk stratification of prostate cancer in peripheral zone.EUROPEAN JOURNAL OF RADIOLOGY,125.
MLA Chen, Zhongwei,et al."The performance of intravoxel-incoherent motion diffusion-weighted imaging derived hypoxia for the risk stratification of prostate cancer in peripheral zone".EUROPEAN JOURNAL OF RADIOLOGY 125(2020).
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