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October 22, 2025BMC CancerOpen Access

Development of a radiomics-3D deep learning fusion model for prognostic prediction in pancreatic cancer

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Authors

ZDZheng DouWuxi No.2 People's HospitalCLChenghao LuUniversity of Electronic Science and Technology of ChinaXSXinan ShenHsin Sheng College of Medical Care and Management

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Implication

Predictive model shows improved survival prediction accuracy in pancreatic cancer, highlighting effective risk stratification.

Key Points

  • The fusion model achieved superior AUC values of 0.87, 0.92, and 0.94 for 1-, 2-, and 3-year survival outcomes.
  • Random survival forest and logistic regression methods were key in developing the fusion predictive model.
  • The radiomics features and deep learning-derived features significantly contributed to survival analysis accuracy.
  • Clinical risk stratification identified high- and low-risk patient groups with significant overall survival differences.

Cite This Study

Dou et al. (2025) studied this question.

synapsesocial.com/papers/68f8ddc12c67bb98d4be3951https://doi.org/10.1186/s12885-025-14889-0
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