Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning.
Commun Med (Lond)
; 3(1): 59, 2023 Apr 24.
Article
em En
| MEDLINE
| ID: mdl-37095223
When colorectal cancers spread to the lymph nodes, it can indicate a poorer prognosis. However, detecting lymph node metastasis (spread) can be difficult and depends on a number of factors such as how samples are taken and processed. Here, we show that machine learning, which involves computer software learning from patterns in data, can predict lymph node metastasis in patients with colorectal cancer from the microscopic appearance of their primary tumor and the clinical characteristics of the patients. We also show that the same approach can predict patient survival. With further work, our approach may help clinicians to inform patients about their prognosis and decide on appropriate treatments.
Texto completo:
1
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Commun Med (Lond)
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Estados Unidos