Suppr超能文献

新的前列腺 MRI 技术和序列。

New prostate MRI techniques and sequences.

机构信息

Department of Radiology, University of Chicago, 5841 South Maryland Avenue, Chicago, IL, 60637, USA.

Sanford J. Grossman Center of Excellence in Prostate Imaging and Image Guided Therapy, University of Chicago, Chicago, IL, USA.

出版信息

Abdom Radiol (NY). 2020 Dec;45(12):4052-4062. doi: 10.1007/s00261-020-02504-8.

Abstract

Prostate MRI has seen increasing interest in recent years and has led to the development of new MRI techniques and sequences to improve prostate cancer (PCa) diagnosis which are reviewed in this article. Numerous studies have focused on improving image quality (segmented DWI) and faster acquisition (compressed sensing, k-t-SENSE, PROPELLER). An increasing number of studies have developed new quantitative and computer-aided diagnosis methods including artificial intelligence (PROSTATEx challenge) that mitigate the subjective nature of mpMRI interpretation. MR fingerprinting allows rapid, simultaneous generation of quantitative maps of multiple physical properties (T1, T2), where PCa are characterized by lower T1 and T2 values. New techniques like luminal water imaging (LWI), restriction spectrum imaging (RSI), VERDICT and hybrid multi-dimensional MRI (HM-MRI) have been developed for microstructure imaging, which provide information similar to histology. The distinct MR properties of tissue components and their change with the presence of cancer is used to diagnose prostate cancer. LWI is a T2-based imaging technique where long T2-component corresponding to luminal water is reduced in PCa. RSI and VERDICT are diffusion-based techniques where PCa is characterized by increased signal from intra-cellular restricted water and increased intracellular volume fraction, respectively, due to increased cellularity. VERDICT also reveal loss of extracellular-extravascular space in PCa due to loss of glandular structure. HM-MRI measures volumes of prostate tissue components, where PCa has reduced lumen and stromal and increased epithelium volume similar to results shown in histology. Similarly, molecular imaging using hyperpolarized C imaging has been utilized.

摘要

近年来,前列腺磁共振成像(MRI)越来越受到关注,这促使人们开发了新的 MRI 技术和序列来提高前列腺癌(PCa)的诊断能力,本文对这些技术和序列进行了综述。许多研究都集中在提高图像质量(弥散加权成像)和加快采集速度(压缩感知、k-t-SENSE、螺旋桨)上。越来越多的研究开发了新的定量和计算机辅助诊断方法,包括人工智能(PROSTATEx 挑战赛),以减轻 mpMRI 解读的主观性。磁共振指纹技术可以快速、同时生成多个物理特性(T1、T2)的定量图谱,PCa 的 T1 和 T2 值较低。为了进行微观结构成像,开发了新的技术,如管腔水成像(LWI)、限制谱成像(RSI)、VERDICT 和混合多维 MRI(HM-MRI),这些技术提供了类似于组织学的信息。组织成分的独特磁共振特性及其随癌症存在而发生的变化被用于诊断前列腺癌。LWI 是一种基于 T2 的成像技术,在 PCa 中,对应于管腔水的长 T2 成分减少。RSI 和 VERDICT 是基于扩散的技术,PCa 的特征是细胞内受限水的信号增加和细胞内体积分数增加,这分别是由于细胞增多所致。VERDICT 还揭示了由于腺体结构丢失,PCa 中外细胞外-血管外空间的丢失。HM-MRI 测量前列腺组织成分的体积,PCa 中管腔和基质的体积减少,上皮的体积增加,这与组织学结果相似。同样,也利用了基于超极化 C 成像的分子成像。

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