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Research Instruments, Questionnaires, and Tools (809) Clinical Informatics (1512) Clinical Information and Decision Making (2167) New Methods (1207) Decision Support for Health Professionals (1714) Clinical Cancer Research (139) Methods in Cancer Research (61) Gastroenterology and Hepatology (153) Innovations in Cancer Diagnostic and Decision Support (125)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50023, first published .
Hand holding iPhone displaying risk prediction app with medical images on monitors

True Mitotic Count Prediction in Gastrointestinal Stromal Tumors: Bayesian Network Model and PROMETheus (Preoperative Mitosis Estimator Tool) Application Development

True Mitotic Count Prediction in Gastrointestinal Stromal Tumors: Bayesian Network Model and PROMETheus (Preoperative Mitosis Estimator Tool) Application Development

Authors of this article:

Salvatore Lorenzo Renne1, 2 Author Orcid Image ;   Manuela Cammelli1 Author Orcid Image ;   Ilaria Santori1 Author Orcid Image ;   Marta Tassan-Mangina1 Author Orcid Image ;   Laura Samà3 Author Orcid Image ;   Laura Ruspi3 Author Orcid Image ;   Federico Sicoli3 Author Orcid Image ;   Piergiuseppe Colombo1, 2 Author Orcid Image ;   Luigi Maria Terracciano1, 2 Author Orcid Image ;   Vittorio Quagliuolo3 Author Orcid Image ;   Ferdinando Carlo Maria Cananzi1, 3 Author Orcid Image
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Journals

  1. Zhang M, Xue M, Zhou B, Xu J, Sun H, Wang J, Wang Y. Comprehensive review of Bayesian network applications in gastrointestinal cancers. World Journal of Clinical Oncology 2025;16(6) View
  2. Ren Y, Deng F, Guo X, Fan Y, Yang Y, Jin Y, Sun W, Luo K, Liu Z, Wang H, Cao Q, Hou J, Li S, Wang J, Dong Y, Zhang G. Preoperative Prediction of High Mitotic Count in Gastrointestinal Stromal Tumors Using CT Features and Serologic Indicators: An Interpretable Model with Multicenter External Validation. Journal of Inflammation Research 2026;Volume 19:1 View