Decision of surgical approach for advanced gallbladder adenocarcinoma based on a Bayesian network.
J Surg Oncol
; 116(8): 1123-1131, 2017 Dec.
Article
em En
| MEDLINE
| ID: mdl-28876457
ABSTRACT
BACKGROUND AND OBJECTIVES:
To determine whether radical resection can benefit patients with advanced gallbladder adenocarcinoma using a Bayesian network (BN) with clinical data.METHODS:
In total, 362 patients who had undergone surgical treatment of gallbladder adenocarcinoma at a tertiary institute were evaluated to establish two BN models using a tree-augmented naïve Bayes algorithm. We then chose 250 patients with T3-4N0-2M0 stage gallbladder adenocarcinoma to test the posterior probability after the surgical type was taken into account.RESULTS:
In total, 170 patients (≤7 months) and 137 patients (>7 months) were correctly classified in the median survival time model (accuracy, 84.81%), and 204 patients (≤12 months), 15 patients (12-36 months), 17 patients (36-60 months), and 34 patients (>60 months) were correctly classified in the 1-, 3-, and 5-year survival model (accuracy, 74.59%), respectively. Every posterior probability in the two models upregulated the ratio of the longer survival time and suggested a better prognosis for gallbladder adenocarcinoma that can be improved by R0 resection.CONCLUSIONS:
These BN models indicate that stages T4 and N2 gallbladder adenocarcinoma are not contraindications for surgery and that R0 resection can improve survival in patients with advanced gallbladder adenocarcinoma.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Procedimentos Cirúrgicos do Sistema Digestório
/
Adenocarcinoma
/
Neoplasias da Vesícula Biliar
Tipo de estudo:
Prognostic_studies
Limite:
Aged
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
J Surg Oncol
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
China