ArticleBMC medical imaging2024
Survival analysis of patients with extrahepatic cholangiocarcinoma: a nomogram for clinical and MRI features.
Article in BMC medical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- A practical nomogram for predicting survival in patients with extrahepatic cholangiocarcinoma: a population-based cohort study.Journal of gastrointestinal oncology · 2026Article
- Prognosis and Chemotherapeutic Efficacy in Extrahepatic Cholangiocarcinoma With Lung Metastases.Cancer reports (Hoboken, N.J.) · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundThis study aimed to establish a predictive model to estimate the postoperative prognosis of patients with extrahepatic cholangiocarcinoma (ECC) based on preoperative clinical and MRI features.
methodsA total of 104 patients with ECC confirmed by surgery and pathology were enrolled from January 2013 to July 2021, whose preoperative clinical, laboratory, and MRI data were retrospectively collected and examined, and the effects of clinical and imaging characteristics on overall survival (OS) were analyzed by constructing Cox proportional hazard regression models. A nomogram was constructed to predict OS, and calibration curves and time-dependent receiver operating characteristic (ROC) curves were employed to assess OS accuracy.
resultsMultivariate regression analyses revealed that gender, DBIL, ALT, GGT, tumor size, lesion's position, the signal intensity ratio of liver to paraspinal muscle (SIR
conclusionsOur nomogram based on clinical, laboratory, and MRI features well predicted OS of ECC patients, and could be considered as a convenient and personalized prediction tool for clinicians to make decisions.
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