Diffusion kurtosis imaging as a biomarker of breast cancer.

BJR open Pub Date : 2023-01-01 DOI:10.1259/bjro.20220038
Maya Honda, Denis Le Bihan, Masako Kataoka, Mami Iima
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引用次数: 1

Abstract

Diffusion kurtosis imaging (DKI) is a diffusion-weighted imaging method that describes non-Gaussian signal behavior using a relatively simple mathematical model. A parameter, kurtosis K, describes the deviation of the diffusion signal decay from a Gaussian pattern. The deviation reflects the complexity of the tissue microstructure affecting water diffusion. Several studies have investigated the diagnostic performance of DKI in distinguishing malignant from benign breast lesions. DKI has been reported to correlate with subtypes and with several molecular and other factors related to the treatment and prognosis of breast cancer. Some technical considerations remain to be resolved for the clinical application of DKI in the breast.

Advances in knowledge: DKI, which increases the sensitivity to complex tissue microstructure compared to standard DWI, has been applied in the breast, allowing to increase clinical performance in distinguishing malignant from benign lesions and in predicting prognosis or treatment response in breast cancer.

Abstract Image

Abstract Image

Abstract Image

扩散峰度成像作为乳腺癌的生物标志物。
扩散峰度成像(DKI)是一种用相对简单的数学模型描述非高斯信号行为的扩散加权成像方法。峰度K是描述扩散信号衰减偏离高斯模式的参数。这种偏差反映了影响水扩散的组织微观结构的复杂性。一些研究已经调查了DKI在区分乳腺良恶性病变中的诊断性能。据报道,DKI与乳腺癌亚型以及与乳腺癌治疗和预后相关的几个分子和其他因素相关。DKI在乳腺的临床应用仍有一些技术问题有待解决。知识进展:与标准DWI相比,DKI提高了对复杂组织微观结构的敏感性,已应用于乳腺,提高了乳腺癌恶性病变与良性病变的区分以及预测预后或治疗反应的临床性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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