Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 24 min ago
Peer-reviewedCC BY-NC-NDTranslational cancer research

Magnetic resonance imaging-based radiomics for predicting P53-mutated hepatocellular carcinoma: intratumoral and peritumoral analysis

  1. 1Department of Radiology , The Affiliated Traditional Chinese Medicine Hospital , Southwest Medical University , Luzhou , ;
  2. 2Department of Cardiovascular Medicine , The Affiliated Traditional Chinese Medicine Hospital , Luzhou , ;
  3. 3Department of Radiology , Zhongshan Hospital , Fudan University , Shanghai ,

Related

  1. Intratumoral and peritumoral radiomics based on multi-parametric magnetic resonance imaging for predicting microsatellite instability in endometrial cancer
    Xiaoyu He, Xi Yin
    Diagnostic and Interventional RadiologyPeer-reviewedCC BY-NC 4.0Full textMedical imaging & radiologyPMC
  2. CT habitat and peritumoral radiomics for predicting progression after repeat TACE in hepatocellular carcinoma: a multicenter study
    Fei Wang, Yue Hu, Zhong-Xing Shi +11
    Frontiers in PharmacologyPeer-reviewedCC BY 4.0Full textMedical imaging & radiologyCrossrefEurope PMCPMC
  3. Moran’s index habitat and peritumoral radiomics based on digital breast tomosynthesis for predicting Ki-67 status in breast cancer
    Jiaai Gong, Zijian Zhuang, Shutong Liu +5
    Quantitative imaging in medicine and surgeryPeer-reviewedCC BY-NC-NDFull textMedical imaging & radiologyEurope PMC
  4. Intratumoral habitat combined with peritumoral radiomics to improve the predictive performance of initial TACE efficacy: a multicenter retrospective study
    Zhefeng Wang, Ningbo Yin, Ruisi Su +4
    Frontiers in OncologyPeer-reviewedCC BY 4.0Full textMedical imaging & radiologyCrossrefPMC
  5. MRI-based intratumoral and peritumoral heterogeneity for predicting intracranial progression in EGFR-mutant lung adenocarcinoma patients with treatment-naive brain metastases receiving first-line third-generation EGFR-TKIs.
    Guangchuan Deng, Houying Li, Zhengjun Dai +5
    Journal of translational medicinePeer-reviewedCC BY-NC-NDFull textMedical imaging & radiologyEurope PMCPMC
BibTeX
@article{weng2026magnetic,
  title = {{Magnetic resonance imaging-based radiomics for predicting P53-mutated hepatocellular carcinoma: intratumoral and peritumoral analysis}},
  author = {Jingfei Weng and Dinghua Yao and Qihu Zeng and Yuqing He and Chun Yang and Bin Yang},
  journal = {Translational cancer research},
  year = {2026},
  month = aug,
  url = {https://europepmc.org/article/PMC/PMC13657831},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Magnetic resonance imaging-based radiomics for predicting P53-mutated hepatocellular carcinoma: intratumoral and peritumoral analysis
AU  - Jingfei Weng
AU  - Dinghua Yao
AU  - Qihu Zeng
AU  - Yuqing He
AU  - Chun Yang
AU  - Bin Yang
PY  - 2026
DA  - 2026/08/13
JO  - Translational cancer research
UR  - https://europepmc.org/article/PMC/PMC13657831
SN  - 2218-676X
ER  -