ArticleAnnals of translational medicine2019
Preoperative assessment of lymph node metastasis in clinically node-negative rectal cancer patients based on a nomogram consisting of five clinical factors.
Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 13 citations in OpenAlex.
- Generative adversarial networks: multiparametric, multiregion super-resolution MRI in predicting lymph node metastasis in rectal cancer.Insights into imaging · 2026Article
- Construction of a prognostic model for colorectal cancer liver metastasis: A retrospective study based on population data.World journal of gastrointestinal oncology · 2025Article
- Diagnostic performance of Node-RADS score for mesorectal lymph node metastasis in rectal cancer.Abdominal radiology (New York) · 2025Article
- New nomogram for predicting lymph node positivity in pancreatic head cancer.Frontiers in oncology · 2023Article
- Predicting metachronous liver metastasis in patients with colorectal cancer: development and assessment of a new nomogram.World journal of surgical oncology · 2022Article
- A preliminary study of synthetic magnetic resonance imaging in rectal cancer: imaging quality and preoperative assessment.Insights into imaging · 2021Article
- Preoperative volumetric synthetic magnetic resonance imaging of the primary tumor for a more accurate prediction of lymph node metastasis in rectal cancer.Quantitative imaging in medicine and surgery · 2021Article
- Development of a Nomogram Combining Clinical Risk Factors and Dual-Energy Spectral CT Parameters for the Preoperative Prediction of Lymph Node Metastasis in Patients With Colorectal Cancer.Frontiers in oncology · 2021Article
- Quantitative CT measurement of left colonic and pelvic mesenteric adipose volume in radiation proctitis.Annals of translational medicine · 2020Article
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Authors and funding
12 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently, reliable approaches for accurate assessment of lymph node metastases (LNM), which is an important indication of preoperative chemoradiotherapy (CRT), are not available for clinically node-negative rectal cancer patients. This study aims to identify clinical factors associated with LNM and to establish a nomogram for LNM prediction in clinically node-negative rectal cancer patients.
methodsThe least absolute shrinkage and selection operator (LASSO) aggression and multivariate logistic regression analyses were applied to identify clinical factors associated with LNM. A nomogram was established to predict the probability of LNM in clinically node-negative rectal cancer patients based on the multivariate logistic regression model.
resultsSix potential risk factors were selected on the basis of LASSO aggression analysis, and five of them were identified as independent risk factors for LNM based on multivariate analysis, including MRI-reported tumor location, clinical T classification, MRI-reported tumor diameter, white blood cell count (WBC), and preoperative elevated tumor markers. A nomogram consisting of the five clinical factors was established and showed good discrimination. Decision curve analysis demonstrated that the established nomogram was reliable and accurate for LNM prediction in clinically node-negative rectal cancer patients.
conclusionsA nomogram based on five clinical factors, including MRI-reported tumor location, clinical T classification, MRI-reported tumor diameter, WBC, and preoperative elevated tumor markers, are useful for assessing LNM in clinically node-negative rectal cancer patients, which is important for preoperative CRT regimens.
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