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

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机构: [1]Kunming Med Univ, Yunnan Canc Hosp, Affiliated Hosp 3, Radiol Dept, Kunming 650118, Yunnan, Peoples R China [2]920th Hosp Joint Logist Support Force, Kunming 650032, Yunnan, Peoples R China [3]Yunnan Agr Univ, Fac Anim Sci & Technol, Kunming 650201, Yunnan, Peoples R China [4]First Peoples Hosp Yunnan Prov, Dept Med Oncol, Kunming 650032, Yunnan, Peoples R China
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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 cm(3), 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.

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出版当年[2020]版:
大类 | 4 区 生物
小类 | 4 区 生化研究方法 4 区 生化与分子生物学 4 区 生物工程与应用微生物 4 区 细胞生物学
最新[2023]版:
大类 | 3 区 生物学
小类 | 2 区 生化研究方法 2 区 生物工程与应用微生物 3 区 生化与分子生物学 3 区 细胞生物学
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出版当年[2019]版:
Q3 BIOCHEMICAL RESEARCH METHODS Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Q4 CELL BIOLOGY Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
最新[2023]版:
Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Q3 BIOCHEMICAL RESEARCH METHODS Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Q4 CELL BIOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

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第一作者机构: [1]Kunming Med Univ, Yunnan Canc Hosp, Affiliated Hosp 3, Radiol Dept, Kunming 650118, Yunnan, Peoples R China
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