Machine Learning-Based Prediction of Pathological Responses and Prognosis After Neoadjuvant Chemotherapy for Non-Small-Cell Lung Cancer: A Retrospective Study.
Zhaojuan JiangQingwan LiJinqiu RuanYanli LiDafu ZhangYongzhou XuYuting LiaoXin ZhangDepei GaoZhenhui LiPublished in: Clinical lung cancer (2024)
This study represents the first successful prediction of pathological complete response achievement after neoadjuvant chemotherapy for NSCLC, as well as the patients' survival, utilizing intratumoral and peritumoral radiomics features.
Keyphrases
- neoadjuvant chemotherapy
- locally advanced
- lymph node
- sentinel lymph node
- machine learning
- end stage renal disease
- small cell lung cancer
- chronic kidney disease
- ejection fraction
- newly diagnosed
- rectal cancer
- prognostic factors
- lymph node metastasis
- magnetic resonance
- computed tomography
- early stage
- artificial intelligence
- big data
- patient reported
- contrast enhanced