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Mol Cell Probes ; 50: 101502, 2020 04.
Article de Anglais | MEDLINE | ID: mdl-31891748

RÉSUMÉ

To explore the early predictors of post-operative recurrence and metastasis of rectal cancer, analyse the associated risk, and construct a model. Retrospective collection. Four hundred patients with rectal cancer underwent surgical resection and pathological diagnosis from September 2013 to September 2014. During the post-operative period, the patients were tested by imaging examination, serum tumour markers, and routine blood follow-up for at least 3 years. Preoperative CT examination of tumour size, lymphocyte-to-neutrophil ratio, and CEA were significant biomarkers for predicting recurrence and/or metastasis of post-operative rectal cancer. The stratified threshold of the lesion size cut-off point in CT images of patients with rectal cancer was 18.75 cm3, the cut-off point value of the lymphocyte-to-neutrophil ratio was 0.33, and the CEA cut-off point value was 16.97 ng/ml. We used the cut-off point to perform stratified survival analysis to obtain two K-M curves and conduct a log-rank test. The Cox multivariate risk regression results were as follows: preoperative CT images of lesion size, lymphocyte-to-neutrophil ratio, and CEA. The AUC of the normogram model for the prediction of post-operative recurrence and metastasis of rectal cancer is 0.939. Preoperative CT examination of tumour size can predict post-operative recurrence and metastasis of rectal cancer and can be used to analyse its risk. The lymphocyte-to-neutrophil ratio and CEA can also predict post-operative tumour recurrence and metastasis risk.


Sujet(s)
Antigène carcinoembryonnaire/sang , Traitement d'image par ordinateur , Lymphocytes/anatomopathologie , Tomodensitométrie multidétecteurs , Récidive tumorale locale/anatomopathologie , Granulocytes neutrophiles/anatomopathologie , Tumeurs du rectum/imagerie diagnostique , Tumeurs du rectum/chirurgie , Marqueurs biologiques tumoraux/sang , Femelle , Humains , Mâle , Adulte d'âge moyen , Analyse multifactorielle , Métastase tumorale , Odds ratio , Modèles des risques proportionnels , Courbe ROC , Tumeurs du rectum/sang , Reproductibilité des résultats , Facteurs de risque , Charge tumorale
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