ArticleCancers2020
Liver Tumor Burden in Pancreatic Neuroendocrine Tumors: CT Features and Texture Analysis in the Prediction of Tumor Grade and
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Multi-omic profiles of neuroendocrine neoplasms of the pancreas: an integrated landscape.Molecular cancer · 2026Review
- Liver Tumor Prediction using Attention-Guided Convolutional Neural Networks and Genomic Feature Analysis.MethodsX · 2025Article
- Liver metastases in high-grade neuroendocrine neoplasms: A comparative study of hepatic tumor volume and biochemical findings in NET G3 versus NEC.Journal of neuroendocrinology · 2024Article
- Case report: Pancreatic metastasis from small-cell lung cancer appears as primary G2 pancreatic neuroendocrine tumor on combined contrast PET imaging with three probes.Frontiers in oncology · 2024Article
- Baseline radiologic features as predictors of efficacy in patients with pancreatic neuroendocrine tumors with liver metastases receiving surufatinib.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2023Article
- A Machine Learning Approach Using [Molecular imaging and biology · 2023Article
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Authors and funding
13 authors.
Funding
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Abstract
Pancreatic neuroendocrine tumors (p-NETs) are a rare group of neoplasms that often present with liver metastases. Histological characteristics, metabolic behavior, and liver tumor burden (LTB) are important prognostic factors. In this study, the usefulness of texture analysis of liver metastases in evaluating the biological aggressiveness of p-NETs was assessed. Fifty-six patients with liver metastases from p-NET were retrospectively enrolled. Qualitative and quantitative CT features of LTB were evaluated. Histogram-derived parameters of liver metastases were calculated and correlated with the tumor grade (G) and
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