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Development and validation of a prediction model for malignant sinonasal tumors based on MR radiomics and machine learning.

Yuchen WangQinghe HanBaohong WenBingbing YangChen ZhangYang SongLuo ZhangJunfang Xian
Published in: European radiology (2024)
Differentiating benign and malignant sinonasal tumors is difficult due to similar clinical presentations. A radiomics model from T1 + T2 + contrast-enhanced T1 images can identify the nature of sinonasal tumors. This model can help distinguish benign and malignant sinonasal tumors.
Keyphrases
  • contrast enhanced
  • magnetic resonance imaging
  • diffusion weighted
  • magnetic resonance
  • computed tomography
  • machine learning
  • diffusion weighted imaging
  • deep learning
  • chronic rhinosinusitis