Predicting High-Risk Recurrence Regions of Glioma After Surgery by Combining Contrastive Learning with Prior Knowledge Networks
Abstract：Glioma is a common malignant tumor of the central nervous system originating from glial cells, often infiltrating along white matter fibers [1], making it difficult to completely resect surgically. According to the temozolomide (temozolomide, TMZ) concurrent chemoradiotherapy combined with adjuvant chemotherapy regimen (Stupp protocol), patients need to undergo concurrent chemoradiotherapy after surgery, followed by sequential temozolomide treatment [2]. The selection of radiotherapy dose is closely related to the patient's quality of life and survival period. Radiotherapy dose that is too low may lead to tumor recurrence in a short time, while excessive radiation may damage the patient's neurological function and seriously affect their quality of life. Therefore, it is particularly important to evaluate the recurrence risk of different regions to reasonably design the corresponding radiotherapy dose.
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Publication Date：2025-12-20
Online Publishing Date：2026-01-16(First online date of this platform, not the publication date of the document)
Pages：1( 758 )