Prognostic aspects of lymphovascular invasion in localized gastric cancer: new insights into the radiomics and deep transfer learning from contrast-enhanced CT imaging.
Qiong LiQiu-Xia FengLiang QiChang LiuJing ZhangGuang YangYu-Dong ZhangXi-Sheng LiuPublished in: Abdominal radiology (New York) (2021)
Radiomics and deep transfer learning features on CECT demonstrate potential power for predicting LVI in GC patients. Prospective use of a GRISK model can help to optimize individualized treatment decisions and predict survival outcomes.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- diffusion weighted
- computed tomography
- magnetic resonance
- diffusion weighted imaging
- lymph node metastasis
- end stage renal disease
- dual energy
- ejection fraction
- newly diagnosed
- prognostic factors
- high resolution
- squamous cell carcinoma
- risk assessment
- image quality
- endometrial cancer