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前列腺癌的计算扩散加权成像：基础、优势、注意事项和未来展望。

Computed Diffusion-Weighted Imaging in Prostate Cancer: Basics, Advantages, Cautions, and Future Prospects.

机构信息

Department of Radiology, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.

Department of Radiology, Kawasaki Medical School, Kurashiki 701-0192, Japan.

出版信息

Korean J Radiol. 2018 Sep-Oct;19(5):832-837. doi: 10.3348/kjr.2018.19.5.832. Epub 2018 Aug 6.

DOI:10.3348/kjr.2018.19.5.832
PMID:30174471
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6082756/
Abstract

Computed diffusion-weighted MRI is a recently proposed post-processing technique that produces b-value images from diffusion-weighted imaging (DWI), acquired using at least two different b-values. This article presents an argument for computed DWI for prostate cancer by viewing four aspects of DWI: fundamentals, image quality and diagnostic performance, computing procedures, and future uses.

摘要

计算扩散加权磁共振成像（DWI）是一种最近提出的后处理技术，它可以从使用至少两个不同 b 值采集的扩散加权成像（DWI）中生成 b 值图像。本文从 DWI 的四个方面（基本原理、图像质量和诊断性能、计算过程以及未来用途）来看待前列腺癌的计算 DWI，提出了一个论点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f926/6082756/07a733317b29/kjr-19-832-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f926/6082756/26c2e0265d8d/kjr-19-832-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f926/6082756/431bcd5ee246/kjr-19-832-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f926/6082756/cfffac86618b/kjr-19-832-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f926/6082756/07a733317b29/kjr-19-832-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f926/6082756/26c2e0265d8d/kjr-19-832-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f926/6082756/431bcd5ee246/kjr-19-832-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f926/6082756/cfffac86618b/kjr-19-832-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f926/6082756/07a733317b29/kjr-19-832-g004.jpg

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PI-RADS version 2: evaluation of diffusion-weighted imaging interpretation between b = 1000 and b = 1500 s mm.前列腺影像报告和数据系统（PI-RADS）第2版：b值为1000和1500 s/mm²时扩散加权成像解读的评估
Br J Radiol. 2017 Nov;90(1079):20170438. doi: 10.1259/bjr.20170438. Epub 2017 Oct 6.
3
Utility of computed diffusion-weighted MRI for predicting aggressiveness of prostate cancer.
Acquisition Parameters Influence Diffusion Metrics Effectiveness in Probing Prostate Tumor and Age-Related Microstructure.
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