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Study breakdown

Nomogram using 17 clinical factors predicts survival for pancreatic neuroendocrine tumor patients receiving PRRT

evidence
The takeaway

The PANEN nomogram, built from 447 pancreatic NET patients receiving PRRT, predicts overall survival with a test c-index of 0.82 using 17 clinical, imaging, and pathological variables.

C-index 0.82

17-variable nomogram built from 447 PRRT patients accurately predicts pancreatic NET survival to guide treatment decisions

What the researchers found

17 independent OS predictors identified. Top predictors: time to PRRT, alkaline phosphatase, KPS, hepatomegaly, weight loss, FDG-PET positivity, Ki-67 grade. C-index: 0.86 (development), 0.82 (test). Median follow-up: 2045 days.

Why it matters

PRRT is expensive and involves radiation. Having a validated prediction tool helps clinicians identify which patients are most likely to benefit, optimizing treatment selection and enabling better-informed patient counseling.

How the study worked

Retrospective analysis of 447 pancreatic NEN patients treated with PRRT. Random survival forests (RSF) modeling. 80/20 train/test split. Internal validation. Nomogram construction.

What this study cannot tell us

Single-center retrospective data. Internal validation only—external validation needed. RSF models can be less interpretable than traditional regression. Not all variables may be available at all centers.

How to read the evidence

Large retrospective study with good ML methodology and internal validation. External validation needed for clinical implementation.

When this study was published

Published in 2025.

The bigger picture

As personalized medicine advances in oncology, prediction tools like the PANEN nomogram bridge the gap between population-level trial data and individual patient decision-making. This is the largest PRRT prediction study for pancreatic NETs.

Questions still open

  • Will external validation in other centers confirm the nomogram's accuracy?
  • Can the model be integrated into electronic health record systems for real-time decision support?
  • Should PRRT be withheld from patients with poor nomogram scores?

Common questions

What is the PANEN nomogram?
It is a clinical prediction tool that uses 17 patient characteristics (including tumor grade, performance status, imaging findings, and blood tests) to estimate how long a patient with pancreatic neuroendocrine tumor is likely to survive after receiving peptide receptor radionuclide therapy (PRRT).
How accurate is it?
The nomogram correctly predicted survival outcomes in 82% of test cases (c-index 0.82), which is considered excellent for a clinical prediction model. It can help doctors and patients make more informed decisions about whether to pursue PRRT.

Read the original research

The PANEN nomogram: clinical decision support for patients with metastatic pancreatic neuroendocrine neoplasm referred for peptide receptor radionuclide therapy.

Frontiers in endocrinology, 16, 1514792

Citation

Singh, Aviral; Sanduleanu, Sebastian; Kulkarni, Harshad R; Langbein, Thomas; Lambin, Philippe; Baum, Richard P. (2025). The PANEN nomogram: clinical decision support for patients with metastatic pancreatic neuroendocrine neoplasm referred for peptide receptor radionuclide therapy.. Frontiers in endocrinology, 16, 1514792. https://doi.org/10.3389/fendo.2025.1514792