Literature DB >> 32058895

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

Zhongwei Chen1, Yingnan Xue1, Zhao Zhang1, Weikang Li1, Min Wen2, Youfan Zhao1, Jiance Li1, Zhiliang Weng3, Qiong Ye4.   

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/mm2). Apparent diffusion coefficient (ADC), pure tissue diffusion (Ds), volume fraction of pseudo-diffusion (fp), hypoxic fraction (HFDWI), hypoxia score (HSDWI) and relative oxygen saturation(rOSDWI), 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.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diffusion; Hypoxia; Multiparametric magnetic resonance imaging; Prostate cancer; Support vector machines

Year:  2020        PMID: 32058895     DOI: 10.1016/j.ejrad.2020.108865

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  2 in total

Review 1.  Integrated MRI-guided radiotherapy - opportunities and challenges.

Authors:  Paul J Keall; Caterina Brighi; Carri Glide-Hurst; Gary Liney; Paul Z Y Liu; Suzanne Lydiard; Chiara Paganelli; Trang Pham; Shanshan Shan; Alison C Tree; Uulke A van der Heide; David E J Waddington; Brendan Whelan
Journal:  Nat Rev Clin Oncol       Date:  2022-04-19       Impact factor: 65.011

2.  Quantification of Tumor Hypoxia through Unsupervised Modelling of Consumption and Supply Hypoxia MR Imaging in Breast Cancer.

Authors:  Torgeir Mo; Siri Helene Bertelsen Brandal; Alvaro Köhn-Luque; Olav Engebraaten; Vessela N Kristensen; Thomas Fleischer; Tord Hompland; Therese Seierstad
Journal:  Cancers (Basel)       Date:  2022-03-04       Impact factor: 6.639

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.