Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-25 @ 2:47 AM
Ignite Modification Date:
2025-12-25 @ 2:47 AM
NCT ID:
NCT06885333
Brief Summary:
Although surgical resection improves overall survival in patients with diffuse Low-grade gliomas (DLGG), it can also result in deterioration of neurocognitive function, which are poorly understood and lack effective predictive models. This study aims to develop a model using whole-brain tumor burden metrics, inflammatory and molecular markers for predicting high risk of neurocognitive decline (ND) postoperatively. The study involved 192 patients with left frontal DLGG. MRI data were analyzed to derive whole-brain tumor burden metrics, including tumor radiomics, whole-brain cortical thickness, myelin content, and network characteristics. postoperative inflammatory and molecular markers were collected. Postoperative follow-up neurocognitive function was assessed using the Montreal Cognitive Assessment at 3 months and 1 year. Machine learning models were constructed using Pycaret.
Study:
NCT06885333
Study Brief:
Protocol Section:
NCT06885333