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Pretreatment CT-based machine learning radiomics model predicts response in unresectable hepatocellular carcinoma treated with lenvatinib plus PD-1 inhibitors and interventional therapy.

Yonglin HuaZhixian SunYuxin XiaoHuilong LiXiaowu MaXuan LuoWenliang TanZhiqin XieZiyu ZhangChenwei TangHongkai ZhuangWeikai XuHaihong ZhuYajin ChenChangzhen Shang
Published in: Journal for immunotherapy of cancer (2024)
The promising machine learning radiomics model was developed and validated to predict the efficacy of LPI therapy for patients with HCC and perform risk stratification, with comparable performance to clinical-radiomics model.
Keyphrases
  • machine learning
  • contrast enhanced
  • lymph node metastasis
  • computed tomography
  • artificial intelligence
  • magnetic resonance imaging
  • radiation therapy
  • image quality
  • bone marrow
  • rectal cancer
  • smoking cessation