ArticleEuropean radiology2024
Radiomics using CT images for preoperative prediction of lymph node metastasis in perihilar cholangiocarcinoma: a multi-centric study.
Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 15 citations in OpenAlex.
- Emerging omics diagnosis of perihilar cholangiocarcinoma.Journal of gastroenterology · 2026Article
- The coefficient of variation of CT values for predicting lymph node metastasis in extrahepatic cholangiocarcinoma.PloS one · 2026Article
- Radiomics Using CT Images for Preoperative Prediction of Tumor Response in Hepatocellular Carcinoma Treated with Drug-Eluting Bead Transarterial Chemoembolization: A Two-Center Study.Journal of hepatocellular carcinoma · 2026Article
- Present and future of liver transplantation for cholangiocellular carcinoma: moving toward personalized multiparametric transplantability patterns.Transplant international : official journal of the European Society for Organ Transplantation · 2026Review
- Clinical-radiomics nomogram integrating lymph node radiomic features to predict immunotherapy response in advanced biliary tract cancers.Journal for immunotherapy of cancer · 2025Article
- Lymph Node Metastasis Around the Common Hepatic Artery Is Associated With Dismal Prognosis in Patients Undergoing Resection of Extrahepatic Cholangiocarcinoma.Journal of hepato-biliary-pancreatic sciences · 2025Article
- Predicting preoperative lymph node metastasis in patients with high-grade serous ovarian cancer by using intratumoral and peritumoral radiomics: a retrospective cohort study.BMC medical imaging · 2025Article
- Article
- Preoperative factors predicting outcomes in patients with suspected perihilar cholangiocarcinoma referred for curative resection- a single-center 10-year experience.Langenbeck's archives of surgery · 2024Article
- Article
- Impact of Lymph Node Dissection for Patients With Clinically Node-Negative Intrahepatic Cholangiocarcinoma: A Multicenter Cohort Study.World journal of oncology · 2024Article
- Hepatic arterial infusion chemotherapy combined with bevacizumab plus a PD-1 inhibitor for gallbladder cancer with hepatic oligometastasis: a real-world study.Journal of gastrointestinal oncology · 2024Article
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Authors and funding
19 authors at 6 institutions in 1 country.
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Abstract
objectivesTo develop a CT-based radiomics model for preoperative prediction of lymph node (LN) metastasis in perihilar cholangiocarcinoma (pCCA).
methodsThe study enrolled consecutive pCCA patients from three independent Chinese medical centers. The Boruta algorithm was applied to build the radiomics signature for the primary tumor and LN. The k-means algorithm was employed to cluster the selected LNs based on the radiomics signature LN. Support vector machines were used to construct the prediction models. The diagnostic efficiency was measured by the area under the receiver operating characteristic curve (AUC). The optimal model was evaluated in terms of calibration, clinical usefulness, and prognostic value.
resultsA total of 214 patients were included in the study (mean age: 61.6 years ± 9.4; 130 male). The selected LNs were classified into two clusters, which were significantly correlated with LN metastasis in all cohorts (p < 0.001). The model incorporated the clinical risk factors, radiomics signature primary tumor, and the LN cluster obtained the best discrimination, with AUC values of 0.981 (95% CI: 0.962-1), 0.896 (95% CI: 0.810-0.982), and 0.865 (95% CI: 0.768-0.961) in the training, internal validation, and external validation cohorts, respectively. High-risk patients predicted by the optimal model had shorter overall survival than low-risk patients (median, 13.7 vs. 27.3 months, p < 0.001).
conclusionsThe study proposed a radiomics model with good performance to predict LN metastasis in pCCA. As a noninvasive preoperative prediction tool, this model may help in patient risk stratification and personalized treatment. CLINICAL RELEVANCE STATEMENT: A CT-based radiomics model accurately predicts lymph node metastasis in perihilar cholangiocarcinoma patients. This noninvasive preoperative tool can aid in patient risk stratification and personalized treatment, potentially improving patient outcomes. KEY POINTS: • The radiomics model based on contrast-enhanced CT is a useful tool for preoperative prediction of lymph node metastasis in perihilar cholangiocarcinoma. • Radiomics features extracted from lymph nodes show great potential for predicting lymph node metastasis. • The study is the first to identify a lymph node phenotype with a high probability of metastasis based on radiomics.
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