ArticleAmerican journal of cancer research2023
Establishment and validation of a nomogram model for preoperative prediction of the risk of cholangiocarcinoma with perineural invasion.
Article in American journal of cancer research, 2023. 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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3 citing papers in PubMed, 5 citations in OpenAlex.
- An MRI-based fusion model for preoperative prediction of perineural invasion status in patients with intrahepatic cholangiocarcinoma.World journal of surgical oncology · 2025Article
- A radiomics model for predicting perineural invasion in stage II-III colon cancer based on computer tomography.BMC cancer · 2024Article
- Hepatic arterial infusion chemotherapy in combination with lenvatinib and durvalumab versus standard first-line treatment gemcitabine and cisplatin plus durvalumab in advanced intrahepatic cholangiocarcinoma.American journal of cancer research · 2024Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo establish and validate a nomogram model for predicting the risk of cholangiocarcinoma with perineural invasion.
methodsWe retrospectively collected the clinical data of 356 patients with surgically confirmed cholangiocarcinoma, including 98 cases of extrahepatic cholangiocarcinoma (eCCA), 197 cases of intrahepatic cholangiocarcinoma (iCCA), and 61 cases of perihilar cholangiocarcinoma (pCCA).
resultsBased on these data, we determined the influencing factors of preoperative perineural invasion risk in patients with cholangiocarcinoma by forward multivariate regression analysis. Based on these variables, we established two nomogram models. The model variables for predicting perineural invasion of eCCA included prothrombin time, high-density lipoprotein and tumor size (all
conclusionsWe established a predictive model for preoperative perineural invasion in patients with iCCA and eCCA, and this model can provide good predictive value for clinicians. However, we have not obtained relevant predictive variables for predicting perineural invasion of pCCA, and the number of modeling cases was relatively small, so this study needs to be further explored.
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38058832PMC10695803W4389452707What OpenQuestion holds
Registered trials
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