ArticleEuropean radiology2021
Prediction of tumor recurrence and poor survival of ampullary adenocarcinoma using preoperative clinical and CT findings.
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 10 papers.
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10 citing papers in PubMed.
- Prognostic significance of baselineBMC medical imaging · 2026Article
- Assessing Invasiveness of Ground-Glass Nodules Using Ternary-Class CT Radiomics Models: A Multi-Center Study with SHAP Explanations.Cancer management and research · 2026Article
- Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT imaging.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- Nomogram for overall survival in ampullary adenocarcinoma using the surveillance, epidemiology, and end results database and external validation.World journal of clinical oncology · 2025Article
- Prediction of tumor recurrence after surgical resection of ampullary adenocarcinoma using magnetic resonance imaging.European radiology · 2024Article
- Article
- Screening for hilar biliary invasion in ampullary cancer patients.World journal of gastrointestinal endoscopy · 2022Article
- Ampullary Large-Cell Neuroendocrine Carcinoma, a Diagnostic Challenge of a Rare Aggressive Neoplasm: A Case Report and Literature Review.Diagnostics (Basel, Switzerland) · 2022Article
- Survival after curative pancreaticoduodenectomy for ampullary adenocarcinoma in a South American population: A retrospective cohort study.World journal of gastrointestinal surgery · 2022Article
- Long-term survival and pattern of recurrence in ampullary adenocarcinoma patients after curative Whipple's resection: a retrospective cohort study in the National Cancer Center in China.American journal of cancer research · 2022Article
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Abstract
objectivesTo predict poor survival and tumor recurrence in patients with ampullary adenocarcinoma using preoperative clinical and CT findings. MATERIALS AND
methodsA total of 216 patients with ampullary adenocarcinoma who underwent preoperative CT and surgery were retrospectively included. CT was assessed by two radiologists. Clinical and histopathological characteristics including histologic subtypes were investigated. A Cox proportional hazard model and the Kaplan-Meier method were used to identify disease-free survival (DFS) and overall survival (OS). A nomogram was created based on the multivariate analysis. The optimal cutoff size of the tumor was evaluated and validated by internal cross validation.
resultsThe median OS was 62.8 ± 37.9, and the median DFS was 54.3 ± 41.2 months. For OS, tumor size (hazard ratio [HR] 2.79, p < 0.001), papillary bulging (HR 0.63, p = 0.049), organ invasion on CT (HR 1.92, p = 0.04), male sex (HR 1.59, p = 0.046), elevated CA 19-9 (HR 1.92, p = 0.01), pT stage (HR 2.45, p = 0.001), and pN stage (HR 3.04, p < 0.001) were important predictors of survival. In terms of recurrence, tumor size (HR 2.37, p = 0.04), pT stage (HR 1.76, p = 0.03), pN stage (HR 2.23, p = 0.001), and histologic differentiation (HR 4.31, p = 0.008) were important predictors of recurrence. In terms of tumor size on CT, 2.65 cm and 3.15 cm were significant cutoff values for poor OS and RFS (p < 0.001).
conclusionPreoperative clinical and CT findings were useful to predict the outcomes of ampullary adenocarcinoma. In particular, tumor size, papillary bulging, organ invasion on CT, male sex, and elevated CA 19-9 were important predictors of poor survival after surgery. KEY POINTS: • Clinical staging based on preoperative clinical information and CT findings can be useful to predict the prognosis of ampullary adenocarcinoma patients. • In terms of survival, tumor size (HR 2.79), papillary bulging (HR 0.63), organ invasion on CT (HR 1.92), male sex (HR 1.59), and elevated CA 19-9 (HR 1.92) were important clinical predictors of poor survival. • Tumor size on CT was of special importance for both poor overall survival and disease-free survival, with optimal cutoff values of 2.65 cm and 3.15 cm, respectively (p < 0.001).
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