MRI radiomics in breast cancer

XIE Tianwen; PENG Weijun

doi:10.19732/j.cnki.2096-6210.2021.02.014

您当前的位置：

首页 >

文章列表页 >

MRI radiomics in breast cancer

更新时间：2025-12-15

- MRI radiomics in breast cancer
- Vol. 30, Issue 2, Pages: 135-139(2021)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2021.02.014
  CLC：
- Published Online：28 April 2021，
  
  Published：28 April 2021
- 稿件说明：
移动端阅览
谢天文,彭卫军. MRI影像组学在乳腺癌评估中的应用[J]. 肿瘤影像学, 2021, 30(2): 135-139 https://doi.

org/10.19732/j.cnki.2096-6210.2021.02.014
谢天文,彭卫军. MRI影像组学在乳腺癌评估中的应用[J]. 肿瘤影像学, 2021, 30(2): 135-139 https://doi. DOI： 10.19732/j.cnki.2096-6210.2021.02.014.

org/10.19732/j.cnki.2096-6210.2021.02.014 DOI：

摘要

磁共振成像（magnetic resonance imaging，MRI）在乳腺癌的早期诊断、术前治疗方案制订和疗效预判中越来越重要。影像组学作为目前研究的热点，可以评估全肿瘤的异质性，具有重要的临床和研究价值。本文对MRI影像组学在乳腺肿瘤的良恶性鉴别、乳腺癌的分子分型识别、乳腺癌的新辅助化疗效果预测以及乳腺癌预后因子评估中的应用研究进展进行了综述。

Abstract

Magnetic resonance imaging (MRI) has the great potential in the early detection

preoperative planning and progress prediction of breast cancer. As one of the research hotspots

radiomics can evaluate the heterogeneity of whole tumor

which has the important role in the clinical application. This article reviewed the application of MRI radiomics in the differential diagnosis between malignant and benign tumors

identification of breast cancer subtypes

assessment of response to neoadjuvant chemotherapy

and evaluation of prognostic factors in breast cancer.

关键词

Keywords

references

Views

3044

下载量

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Prediction of sentinel lymph node metastasis in breast cancer using multiparametric MRI radiomics and machine learning models

The value of radiomics features derived from the T2WI-FS assisted preoperative prediction of axillary lymph node metastasis of breast cancer

Radiomics in Breast Cancer

Observer consistency study based on dynamic enhanced MRI radiomics parameters

Value of a multiparameter MRI radiomics nomogram for preoperative prediction of endometrial carcinoma risk stratification

Related Author

Hongkai YANG

Xuan QI

Wuling WANG

Weiqun CHENG

Dong QI

Yongsheng HE

WANG Meng

LIU Zhou

Related Institution

Department of Radiology, Ma’anshan People’s Hospital, Ma’anshan

The Graduate School, Anhui Medical University

The Fifth Clinical Medical College of Anhui Medical University

Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Huiying Medical Technology Beijing Co., Ltd

AI问答

⁰