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Predicting Ki-67 labeling index level in early-stage lung adenocarcinomas manifesting as ground-glass opacity nodules using intra-nodular and peri-nodular radiomic features.

Minghui ZhuZhen YangWei ZhaoMiaoyu WangWenjia ShiZhenshun ChengCheng YeQiang ZhuLu LiuZhixin LiangLiang'an Chen
Published in: Cancer medicine (2022)
The established radiomic model exhibited good diagnostic efficacy in differentiating between lung adenocarcinoma GGOs with high and low Ki-67 LI, which was higher than the clinical-radiographic model. Peri-nodular radiomic features showed added benefits to the radiomic model. As a novel noninvasive method, radiomics have the potential to be applied in the preliminary classification of Ki-67 expression level in lung adenocarcinoma GGOs.
Keyphrases
  • early stage
  • neoadjuvant chemotherapy
  • poor prognosis
  • deep learning
  • magnetic resonance imaging
  • magnetic resonance
  • contrast enhanced
  • lymph node metastasis
  • rectal cancer
  • locally advanced