ArticleEuropean radiology2021
CT-based nomogram for predicting survival after R0 resection in patients with gallbladder cancer: a retrospective multicenter analysis.
Article in European radiology, 2021. 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, 12 citations in OpenAlex.
- Multimodal fusion-based prediction of postoperative survival in gallbladder adenocarcinoma: Model development and validation.Scientific reports · 2026Article
- Perioperative approaches for patients with biliary tract cancer.Nature reviews. Clinical oncology · 2026Review
- An MRI-based model for preoperative prediction of tertiary lymphoid structures in patients with gallbladder cancer.Insights into imaging · 2025Article
- Preoperative MRI-based nomogram to predict survival after curative resection in patients with gallbladder cancer: a retrospective multicenter analysis.Abdominal radiology (New York) · 2024Article
- Novel multifactor predictive model for postoperative survival in gallbladder cancer: a multi-center study.World journal of surgical oncology · 2024Article
- Machine learning-based short-term DFS-associated characteristic factor screening and model construction for patients with gallbladder cancer after radical surgery.American journal of cancer research · 2024Article
- Gastrointestinal involvement in gallbladder cancer: Computed tomography findings and proposal of a classification system.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2023Article
- Development and validation of prognostic dynamic nomograms for hepatitis B Virus-related hepatocellular carcinoma with microvascular invasion after curative resection.Frontiers in oncology · 2023Article
- Prognostic Value of the Albumin-to-γ-glutamyltransferase Ratio for Gallbladder Cancer Patients and Establishing a Nomogram for Overall Survival.Journal of Cancer · 2021Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
objectivesTo establish a prognostic nomogram for patients undergoing R0 resection for gallbladder cancer based on preoperative CT.
methodsA total of 151 patients (64 males, 87 females; mean age, 73.26 years) with gallbladder cancer who underwent CT and surgery with margin-negative resection were retrospectively collected at two tertiary institutions. The demographic and radiologic parameters were analyzed using univariate and multivariate Cox regression analyses to identify independent prognostic factors. The final CT-based nomogram was constructed to predict prognosis after curative resection of gallbladder cancer. Calibration curves for the survival probabilities were obtained for internal validation.
resultsMass-forming type (hazard ratio [HR], 28.80), bile duct invasion (HR, 4.76), duodenal invasion (HR, 6.32), colon invasion (HR, 4.37), gallstones (HR, 0.09), and cholecystitis (HR, 2.56) were significant independent predictors for recurrence-free survival (p < .05). Mass-forming type (HR, 8.16, p < .001), bile duct invasion (HR, 2.92, p = .013), duodenal invasion (HR, 3.72, p = .012), and regional lymph node metastasis (HR, 2.07, p = .043) were independent predictors of poor cancer-specific survival (CSS) and were used to construct the nomogram. The nomogram showed a good predictive ability for the probabilities of survival on the calibration curves, and the concordance index of the model in predicting CSS was .768.
conclusionPreoperative CT findings could predict the prognosis of gallbladder cancer, and the CT-based nomogram accurately predicted CSS in patients with gallbladder cancer after attempted curative resection. KEY POINTS: • Among the preoperative imaging features, mass-forming type, bile duct invasion, duodenal invasion, and regional lymph node metastasis were independent predictors of poor cancer-specific survival. • The nomogram constructed using preoperative CT findings showed a good predictive ability for the survival on calibration curves, and the concordance index of the model in predicting cancer-specific survival was 0.768.
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