ArticleOncotarget2017
Development and validation of a preoperative prediction model for colorectal cancer T-staging based on MDCT images and clinical information.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The effect of lymph node ratio on the surgical outcomes in patients with colorectal cancer.Scientific reports · 2024Article
- A nomogram prediction model based on clinicopathological combined radiological features for metachronous liver metastasis of colorectal cancer.Journal of Cancer · 2024Article
- Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to establish and evaluate the efficacy of a prediction model for colorectal cancer T-staging.
resultsT-staging was positively correlated with the level of carcinoembryonic antigen (CEA), expression of carbohydrate antigen 19-9 (CA19-9), wall deformity, blurred outer edges, fat infiltration, infiltration into the surrounding tissue, tumor size and wall thickness. Age, location, enhancement rate and enhancement homogeneity were negatively correlated with T-staging. The predictive results of the model were consistent with the pathological gold standard, and the kappa value was 0.805. The total accuracy of staging improved from 51.04% to 86.98% with the proposed model. MATERIALS AND
methodsThe clinical, imaging and pathological data of 611 patients with colorectal cancer (419 patients in the training group and 192 patients in the validation group) were collected. A spearman correlation analysis was used to validate the relationship among these factors and pathological T-staging. A prediction model was trained with the random forest algorithm. T staging of the patients in the validation group was predicted by both prediction model and traditional method. The consistency, accuracy, sensitivity, specificity and area under the curve (AUC) were used to compare the efficacy of the two methods.
conclusionsThe newly established comprehensive model can improve the predictive efficiency of preoperative colorectal cancer T-staging.
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