Suppr超能文献

福尔马林固定前列腺组织中的双指数扩散衰减:初步发现。

Biexponential diffusion decay in formalin-fixed prostate tissue: preliminary findings.

机构信息

Discipline of Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney, Lidcombe, Australia.

出版信息

Magn Reson Med. 2012 Sep;68(3):954-9. doi: 10.1002/mrm.23291. Epub 2011 Dec 9.

Abstract

Magnetic resonance microimaging was used to measure diffusion decay over an extended b-factor range in a formalin-fixed normal prostate sample and a Gleason pattern 3+4 cancer tissue sample. The coefficients of biexponential fits to diffusion decay data from 1600 voxels of dimension 160 × 160 × 160 μm(3) in each sample were correlated with underlying epithelial and stromal compartment partial volumes estimated from high-resolution apparent diffusion coefficient (ADC) data (40 × 40 × 40 μm(3) voxels) from the same tissue. In the normal tissue sample, the signal fractions of the low and high ADC components of the biexponential fits correlated linearly with partial volumes of epithelial tissue (R(2) = 0.6) and stromal tissue (R(2) = 0.5), respectively. Similar but weaker correlations were observed in the cancer sample. Epithelium-containing high spatial resolution voxels appeared to be composed of ∼60% low ADC and ∼40% high ADC component. Stromal voxels appeared to be composed of ∼20% low ADC and ∼80% high ADC component. This preliminary report suggests that distinctly different diffusion properties in microscopically adjacent cell types contribute to the multiexponential diffusion decay phenomenon in prostate tissue.

摘要

磁共振微观成像是一种用于测量福尔马林固定的正常前列腺样本和 Gleason 模式 3+4 癌症组织样本中扩散衰减的方法,其扩散衰减可以在一个扩展的 b 因子范围内进行。从每个样本的 1600 个 160×160×160μm(3)的体素中扩散衰减数据的双指数拟合系数与从同一组织的高分辨率表观扩散系数 (ADC) 数据 (40×40×40μm(3)体素) 中估计的上皮和基质部分体积相关。在正常组织样本中,双指数拟合的低 ADC 和高 ADC 成分的信号分数与上皮组织的部分体积 (R(2)=0.6) 和基质组织的部分体积 (R(2)=0.5) 呈线性相关。在癌症样本中观察到类似但较弱的相关性。含有上皮的高空间分辨率体素似乎由约 60%的低 ADC 和约 40%的高 ADC 组成。基质体素似乎由约 20%的低 ADC 和约 80%的高 ADC 组成。这项初步报告表明,在显微镜相邻的细胞类型中,明显不同的扩散特性导致了前列腺组织中多指数扩散衰减现象。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验