Multislice spiral CT images combined with CEA and lymphocyte-to-neutrophil ratio predict recurrence and post-operative metastasis of rectal cancer

Copyright © 2019. Published by Elsevier Ltd..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:50

Enthalten in:

Molecular and cellular probes - 50(2020) vom: 02. Apr., Seite 101502

Sprache:

Englisch

Beteiligte Personen:

Deng, Hui-Yuan [VerfasserIn]
Zhu, Xiang-Qing [VerfasserIn]
Ding, Ying-Ying [VerfasserIn]
Li, Jin-Dan [VerfasserIn]
Yang, Jun [VerfasserIn]
Ke, Teng-Fei [VerfasserIn]
Wang, Rui [VerfasserIn]
Chen, Qiang [VerfasserIn]
Hu, Jing [VerfasserIn]
Wang, Yan-Ying [VerfasserIn]
Liao, Cheng-de [VerfasserIn]

Links:

Volltext

Themen:

Biomarkers, Tumor
Carcinoembryonic Antigen
Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 30.12.2020

Date Revised 30.12.2020

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.mcp.2019.101502

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM304916420