您当前的位置：
首页 >
文章列表页 >
Study on the predictive value of multi-parameter spectral CT changes for prognosis in patients with breast cancer bone metastasis
更新时间：2025-12-15

    • Study on the predictive value of multi-parameter spectral CT changes for prognosis in patients with breast cancer bone metastasis

    • Oncoradiology   Vol. 34, Issue 1, Pages: 62-71(2025)

    • DOI：10.19732/j.cnki.2096-6210.2025.01.009    

      CLC：

    • Received：04 October 2024，

      Online First：13 March 2025，

      Published：28 February 2025

    移动端阅览

  • Honglin WU, Yan HUANG, Weiwei DENG, et al. Study on the predictive value of multi-parameter spectral CT changes for prognosis in patients with breast cancer bone metastasis[J]. Oncoradiology, 2025, 34(1): 62-71. DOI： 10.19732/j.cnki.2096-6210.2025.01.009.

  •  
  •  

0

Views

426

下载量

1

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

3.0T WBDWIBS with histogram parameters in prediction therapy response of bone metastatic breast cancer： the initial experience
Predictive model for postoperative liver metastasis in pancreatic neuroendocrine tumors based on CT radiomics
Application value of a multifactorial predictive model based on clinical, pathological, and ultrasound features in the preoperative assessment of lymphovascular invasion in breast cancer
The value of automatic segmentation radiomics features in predicting pathological complete response after neoadjuvant therapy for breast cancer
Construction and preoperative noninvasive prediction of a cross-scale risk phenotype in pancreatic adenosquamous carcinoma using digital pathology and contrast-enhanced CT

Related Author

GENG Xiaochuan
ZHUANG Zhiguo
ZHANG Kebei
CHEN Jie
CHENG Fang
ZHANG Qing
HUA Jia
ZHANG Hui

Related Institution

Department of Radiology, Renji Hospital, Shanghai Jiao Tong University School of&nbsp
Department of radiology, Renji Hospital South Campus, Shanghai Jiao Tong University School of Medicine
Department of Radiology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University
Department of Ultrasound Medicine, The Second Hospital of Anhui Medical University
Department of Ultrasound, Maoming People's Hospital
0