five

In Vivo Magnetic Resonance Imaging of Orthotopic Prostate Cancer

收藏
DataCite Commons2024-05-15 更新2025-04-15 收录
下载链接:
https://tandf.figshare.com/articles/dataset/In_Vivo_Magnetic_Resonance_Imaging_of_Orthotopic_Prostate_Cancer/12228965
下载链接
链接失效反馈
官方服务:
资源简介:
<b>Supplementary Figure 1:</b> Figure 1A, B with region of interest (in yellow) to identify the tumor. <b>Supplementary Figure 2:</b> Example T2- Dixon-‘‘water only’’ images with regions of interest outlining tumor (in yellow) and prostate (in red) from Figure 1 A and B left panel and from Figure 4C. <b>Supplementary Table 1 Data for Table 1 Young mice.</b> Comparison of overall best MR sequence to detect mouse prostate cancer visualization in young or old nude mice at 7T. (Summary of pairwise comparisons between modalities by endpoint based on linear mixed model estimates.) <b>Supplementary Table 2 Data for Table 1 Old mice.</b> Comparison of overall best MR sequence to detect mouse prostate cancer visualization in young or old nude mice at 7T. (Summary of pairwise comparisons between modalities by endpoint based on linear mixed model estimates.) <b>Supplementary Table 3 Data for Table 2:</b> Comparison of prostate cancer conspicuity, margin delineation, and tumor to background contrast in young or old nude mice at 7T. (Summary of linear mixed model estimated mean score of modalities by endpoint.) <b>Supplementary Table 4:</b> Conspicuity, Contrast and Margin Delineation in Young vs Old mice.

<b>补充图1:</b> 标注有用于识别肿瘤的感兴趣区域(region of interest,以黄色标记)的图1A与图1B。 <b>补充图2:</b> 示例T2-Dixon「仅水相」图像,其中分别以黄色和红色勾勒出肿瘤与前列腺的感兴趣区域,图像取自图1A、B的左面板及图4C。 <b>补充表1:表1 年轻小鼠数据集</b>:7T磁场下,针对年轻与老年裸鼠的小鼠前列腺癌可视化检测,对比最优整体磁共振序列的表现。(基于线性混合模型估计值,按结局指标进行的多模态两两比较结果汇总)。 <b>补充表2:表1 老年小鼠数据集</b>:7T磁场下,针对年轻与老年裸鼠的小鼠前列腺癌可视化检测,对比最优整体磁共振序列的表现。(基于线性混合模型估计值,按结局指标进行的多模态两两比较结果汇总)。 <b>补充表3:表2 数据集</b>:7T磁场下,对比年轻与老年裸小鼠的前列腺癌辨识度、病灶边缘勾画效果及肿瘤与背景对比度。(基于线性混合模型估计值,按结局指标统计的多模态平均评分结果汇总)。 <b>补充表4:</b> 年轻与老年小鼠的病灶辨识度、对比度及病灶边缘勾画情况。
提供机构:
Taylor & Francis
创建时间:
2020-05-02
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作