Using Artificial Intelligence to Improve Diagnosis and Recurrence Prediction in Thymic Epithelial Tumors

What this Trial Is About

Thymic epithelial tumors are uncommon growths in the front part of the chest, with surgery as the main treatment. Post-surgery radiotherapy is often used for more extensive or aggressive tumors based on the WHO classification, which divides tumors into types A, AB, B1, B2, B3, and thymic carcinoma. However, this classification can vary between pathologists and does not always predict the chance of the tumor returning accurately. Researchers are developing artificial intelligence AI models to improve how these tumors are classified and to better predict the risk of recurrence. This international project uses three existing databases from Rotterdam, Maastricht, and Lyon. One database is used to build the AI models, while the other two are used to test and validate them. The study aims to create AI tools that help pathologists correctly identify tumor subtypes and guide treatment decisions, especially about the need for additional radiotherapy. Participants include patients with different thymic epithelial tumor subtypes and those who have experienced tumor recurrence. The study involves analyzing digital pathology images and clinical information using AI diagnostics and recurrence prediction tools. Researchers will measure progress by working with the databases and developing deep learning models for classification and recurrence prediction over several months. The project supports better treatment planning by providing more accurate tumor subtyping and risk assessment.

Artificial Intelligence Prediction Tool in Thymic Epithelial Tumors