您当前的位置：
首页 >
文章列表页 >
Application of magnetic resonance elastography in the identification of benign and malignant liver lesions and prognostic prediction of malignant tumors
更新时间：2025-12-15

    • Application of magnetic resonance elastography in the identification of benign and malignant liver lesions and prognostic prediction of malignant tumors

    • “The latest research has found that magnetic resonance elastography technology can effectively distinguish between benign and malignant liver lesions and predict the prognosis of malignant tumor patients, providing important basis for clinical diagnosis and treatment.”
    • Oncoradiology   Vol. 34, Issue 4, Pages: 405-412(2025)

    • DOI：10.19732/j.cnki.2096-6210.2025.04.012    

      CLC：

    • Received：06 March 2025，

      Published Online：04 September 2025，

      Published：28 August 2025

    移动端阅览

  • Xutong HUANG, Wenxin MA, Yuejun SUN, et al. Application of magnetic resonance elastography in the identification of benign and malignant liver lesions and prognostic prediction of malignant tumors[J]. Oncoradiology, 2025, 34(4): 405-412. DOI： 10.19732/j.cnki.2096-6210.2025.04.012.

  •  
  •  

0

Views

136

下载量

0

CNKI被引量

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Research progress on preoperative MRI markers combined with surgical margins in predicting early recurrence of HCC
Comparative analysis of contrast-enhanced ultrasound and DCE-MRI in micro-hepatocellular carcinoma
Diagnostic value of simplified MRI sequence in breast diseases
The value of diffusion kurtosis imaging combined with peripheral blood inflammatory markers in predicting the pathological grading of clear cell renal cell carcinoma
A flexible segmentation network for MRI: toward accurate tumor delineation and 3D reconstruction in brain glioma

Related Author

ZUO Liping
DU Peng
SONG Baoli
TIAN Ziyu
WANG Bowen
YU Dexin
CAO Yongquan
YUAN Kai

Related Institution

Department of Radiology, Qilu Hospital of Shandong University
Department of Radiology, Zibo No 1 Hospital
Department of Ultrasound, Zhongshan Hospital, Fudan University
Department of Ultrasound, The First People&rsquo
Shanghai Institute of Imaging Medicine
0