Affiliation:
1. Department of Radiation Oncology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital Fuzhou Fujian China
2. Shengli Clinical Medical College Fujian Medical University Fuzhou Fujian China
3. Department of Radiation Oncology Fujian Medical University Union Hospital Fuzhou Fujian China
Abstract
AbstractWe aimed to analyze and investigate the clinical factors that influence the occurrence of liver metastasis in locally advanced rectal cancer patients, with an attempt to assist patients in devising the optimal imaging‐based follow‐up nursing. Between June 2011 and May 2021, patients with rectal cancer at our hospital were retrospectively analyzed. A random survival forest model was developed to predict the probability of liver metastasis and provide a practical risk‐based approach to surveillance. The results indicated that age, perineural invasion, and tumor deposit were significant factors associated with the liver metastasis and survival. The liver metastasis risk of the low‐risk group was higher at 6–21 months, with a peak occurrence time in the 15th month. The liver metastasis risk of the high‐risk group was higher at 0–24 months, with a peak occurrence time in the 8th month. In general, our clinical model could predict liver metastasis in rectal cancer patients. It provides a visualization tool that can aid physicians and nurses in making clinical decisions, by detecting the probability of liver metastasis.