Prediction of liver metastasis and recommended optimal follow-up nursing in rectal cancer.
Nurs Health Sci
; 26(1): e13102, 2024 Mar.
Article
en En
| MEDLINE
| ID: mdl-38402869
ABSTRACT
We 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.
Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Neoplasias del Recto
/
Neoplasias Hepáticas
Límite:
Humans
Idioma:
En
Revista:
Nurs Health Sci
Asunto de la revista:
ENFERMAGEM
Año:
2024
Tipo del documento:
Article
País de afiliación:
China