ArticleWorld journal of surgical oncology2022
Predicting metachronous liver metastasis in patients with colorectal cancer: development and assessment of a new nomogram.
Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Multimodal prediction of metachronous liver metastasis in stage I-III colorectal cancer patients: multicenter cohort study employing machine learning.Abdominal radiology (New York) · 2026Article
- Article
- [Development and validation of a multicenter nomogram predicting the risk of liver metastasis after curative resection of colorectal cancer].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026Article
- Genetic differences between primary colorectal cancer and its paired synchronous and metachronous metastases.International journal of cancer · 2026Article
- Risk stratification for metachronous metastasis in colon cancer based on landscape ecological analysis.Scientific reports · 2025Article
- Clinical significance of preoperative serum VEGF in predicting metachronous liver metastasis of colorectal cancer: development of a novel nomogram.World journal of surgical oncology · 2025Article
- Machine learning-based radiomics models for the prediction of metachronous liver metastases in patients with colorectal cancer: A multimodal study.Oncology letters · 2025Article
- Risk factors, prognostic factors, and nomograms for liver metastasis in stage TScientific reports · 2025Article
- Complete blood counts as potential risk factors of early dissemination to liver and lungs in resected colorectal cancer: a retrospective cohort study.International journal of colorectal disease · 2025Article
- KRAS inhibitors may prevent colorectal cancer metachronous metastasis by suppressing TGF‑β mediated epithelial‑mesenchymal transition.Molecular medicine reports · 2025Article
- Organotropic metastasis in colorectal cancer: integrating molecular pathways with therapeutic opportunities.Frontiers in immunology · 2025Review
- Development of prediction models for liver metastasis in colorectal cancer based on machine learning: a population-level study.Translational cancer research · 2024Article
- Article
- Construction of a nomogram model based on biomarkers for liver metastasis in non-small cell lung cancer.Thoracic cancer · 2024Article
- Predictive modeling algorithms for liver metastasis in colorectal cancer: A systematic review of the current literature.Annals of hepato-biliary-pancreatic surgery · 2024Review
- A nomogram prediction model based on clinicopathological combined radiological features for metachronous liver metastasis of colorectal cancer.Journal of Cancer · 2024Article
- A nomogram was developed using clinicopathological features to predict postoperative liver metastasis in patients with colorectal cancer.Journal of cancer research and clinical oncology · 2023Article
- Complete Blood Count Alterations Prior to the Diagnosis of Colorectal Cancer May Help in the Detection of Synchronous Liver Metastases.Journal of clinical medicine · 2023Article
- Establishment and validation of a predictive model of recurrence in primary hepatocellular carcinoma after resection.Journal of gastrointestinal oncology · 2023Article
- Effect of abdominal aortic calcification on the prognosis and recurrence of colorectal cancer stages II-III: A retrospective cohort study.International journal of colorectal disease · 2023Article
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6 authors.
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Abstract
backgroundWe aimed to develop and validate a nomogram model, which could predict metachronous liver metastasis in colorectal cancer within two years after diagnosis.
methodsA retrospective study was performed on colorectal cancer patients who were admitted to Beijing Shijitan Hospital from January 1, 2016 to June 30, 2019. The least absolute shrinkage and selection operator (LASSO) regression model was used to optimize feature selection for susceptibility to metachronous liver metastasis in colorectal cancer. Multivariable logistic regression analysis was applied to establish a predictive model through incorporating features selected in the LASSO regression model. C-index, receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA) were employed to assess discrimination, distinctiveness, consistency with actual occurrence risk, and clinical utility of candidate predictive model. Internal validation was assessed with bootstrapping method.
resultsPredictors contained in candidate prediction nomogram included age, CEA, vascular invasion, T stage, N stage, family history of cancer, and KRAS mutation. This model displayed good discrimination with a C-index of 0.787 (95% confidence interval: 0.728-0.846) and good calibration, whereas area under the ROC curve (AUC) of 0.786. Internal validation obtained C-index of 0.786, and AUC of validation cohort is 0.784. Based on DCA, with threshold probability range from 1 to 60%; this predictive model might identify colorectal cancer metachronous liver metastasis to achieve a net clinical benefit.
conclusionWe have developed and validated a prognostic nomogram with good discriminative and high accuracy to predict metachronous liver metastasis in CRC patients.
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