您当前的位置：
首页 >
文章列表页 >
The application value of radiomics-based prediction of Bcl-2 and c-Myc expression status in patients with intracranial primary central nervous system lymphoma
更新时间：2025-12-15

    • The application value of radiomics-based prediction of Bcl-2 and c-Myc expression status in patients with intracranial primary central nervous system lymphoma

    • “In the field of primary central nervous system lymphoma, experts use multi parameter MRI and multi algorithm machine learning models to identify lymphoma with dual expression of Bcl-2 and c-Myc, providing a new approach for DEL detection.”
    • Oncoradiology   Vol. 34, Issue 3, Pages: 273-281(2025)

    • DOI：10.19732/j.cnki.2096-6210.2025.03.011    

      CLC：

    • Received：16 January 2025，

      Published Online：08 July 2025，

      Published：28 June 2025

    移动端阅览

  • Xie LI, Haitao HUANG, Huihu LI, et al. The application value of radiomics-based prediction of Bcl-2 and c-Myc expression status in patients with intracranial primary central nervous system lymphoma[J]. Oncoradiology, 2025, 34(3): 273-281. DOI： 10.19732/j.cnki.2096-6210.2025.03.011.

  •  
  •  

0

Views

168

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

Prediction of outcomes in patients with locally advanced cervical cancer after concurrent chemoradiotherapy based on machine learning-based radiomics
Prediction of sentinel lymph node metastasis in breast cancer using multiparametric MRI radiomics and machine learning models
Research progress in predicting EGFR mutation of NSCLC patients using machine learning based on medical imaging
Research on a prediction model for superficial lymphoma based on multimodal ultrasound radiomics
Intelligent imaging for precision diagnosis and treatment of pancreatic tumors: current applications and future perspectives

Related Author

Meng LI
Shisheng XU
Jiehui Li
Hongkai YANG
Xuan QI
Wuling WANG
Weiqun CHENG
Dong QI

Related Institution

Department of Oncology, Affiliated Hospital of Guizhou Medical University
Department of Oncology, Guizhou Medical University Affiliated Cancer Hospital
Division of Oncology Teaching and Research, School of Clinical Medicine, Guizhou Medical University
Department of Oncology, Qingdao Municipal Hospital
Department of Radiology, Ma’anshan People’s Hospital, Ma’anshan
0