Suppr超能文献

非高斯体素内不相干运动扩散加权及快速交换机制动态对比增强磁共振成像在鼻咽癌中的应用:预测局部区域复发的初步研究

Nongaussian Intravoxel Incoherent Motion Diffusion Weighted and Fast Exchange Regime Dynamic Contrast-Enhanced-MRI of Nasopharyngeal Carcinoma: Preliminary Study for Predicting Locoregional Failure.

作者信息

Paudyal Ramesh, Chen Linda, Oh Jung Hun, Zakeri Kaveh, Hatzoglou Vaios, Tsai C Jillian, Lee Nancy, Shukla-Dave Amita

机构信息

Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

出版信息

Cancers (Basel). 2021 Mar 6;13(5):1128. doi: 10.3390/cancers13051128.

Abstract

The aim of the present study was to identify whether the quantitative metrics from pre-treatment (TX) non-Gaussian intravoxel incoherent motion (NGIVIM) diffusion weighted (DW-) and fast exchange regime (FXR) dynamic contrast enhanced (DCE)-MRI can predict patients with locoregional failure (LRF) in nasopharyngeal carcinoma (NPC). Twenty-nine NPC patients underwent pre-TX DW- and DCE-MRI on a 3T MR scanner. DW imaging data from primary tumors were fitted to monoexponential (ADC) and NGIVIM (, *, f, and ) models. The metrics K, v, and τ were estimated using the FXR model. Cumulative incidence (CI) analysis and Fine-Gray (FG) modeling were performed considering death as a competing risk. Mean v values were significantly different between patients with and without LRF ( = 0.03). Mean f values showed a trend towards the difference between the groups ( = 0.08). Histograms exhibited inter primary tumor heterogeneity. The CI curves showed significant differences for the dichotomized cutoff value of ADC ≤ 0.68 × 10 (mm/s), ≤ 0.74 × 10 (mm/s), and f ≤ 0.18 ( < 0.05). τ ≤ 0.89 (s) cutoff value showed borderline significance ( = 0.098). FG's modeling showed a significant difference for the cutoff value of ≤0.86 ( = 0.034). Results suggest that the role of pre-TX NGIVIM DW- and FXR DCE-MRI-derived metrics for predicting LRF in NPC than alone.

摘要

本研究的目的是确定治疗前(TX)非高斯体素内不相干运动(NGIVIM)扩散加权(DW-)和快速交换机制(FXR)动态对比增强(DCE)-MRI的定量指标是否能够预测鼻咽癌(NPC)患者的局部区域失败(LRF)。29例NPC患者在3T MR扫描仪上接受了治疗前DW-和DCE-MRI检查。将原发肿瘤的DW成像数据拟合为单指数(ADC)和NGIVIM(,*,f和)模型。使用FXR模型估计指标K、v和τ。考虑死亡为竞争风险,进行累积发病率(CI)分析和Fine-Gray(FG)建模。有和没有LRF的患者之间的平均v值有显著差异(=0.03)。平均f值在两组之间显示出差异趋势(=0.08)。直方图显示原发肿瘤间存在异质性。CI曲线显示,对于ADC≤0.68×10(mm/s)、≤0.74×10(mm/s)和f≤0.18的二分截止值,存在显著差异(<0.05)。τ≤0.89(s)的截止值显示出临界显著性(=0.098)。FG建模显示,对于≤0.86的截止值,存在显著差异(=0.034)。结果表明,治疗前NGIVIM DW-和FXR DCE-MRI衍生指标在预测NPC的LRF方面比单独使用更有作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6fe/7961986/4ca86ea0d0f4/cancers-13-01128-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验