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Study on Radiogenomics Features Associated With Radiochemotherapy Sensitivity in Gliomas
Sponsor: Beijing Tiantan Hospital
Summary
The MRI data were collected from patients with gliomas before surgery, 2 weeks before initiating radiochemotherapy, 1 month after completing the radiotherapy (for lower-grade gliomas, LGG), or 4 and 10 months after completing the radiochemotherapy (for high-grade gliomas, HGG). Radiochemotherapy sensitivity labels were constructed based on the MRI images obtained before and after radiochemotherapy, following the RANO criteria. Radiomics features were extracted from preoperative MRI images and combined with transcriptomic information obtained from tumor tissue sequencing. This process allowed the construction of a radiogenomics model capable of predicting the response of gliomas to radiochemotherapy. In this prospective cohort study, we will recruit patients with gliomas who have undergone craniotomy and received postoperative radiotherapy or radiochemotherapy (in cases of LGG and HGG, respectively). MRI images of the same sequences will be collected at corresponding time points, and transcriptomic sequencing will be performed on tumor tissue obtained during surgery. The established model will be applied to predict radiochemotherapy sensitivity and compared with the 'true' radiochemotherapy sensitivity labels, which are constructed based on the RANO criteria, to evaluate the predictive performance of the model.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
200
Start Date
2024-01-23
Completion Date
2024-12-31
Last Updated
2024-06-12
Healthy Volunteers
No
Conditions
Interventions
Assess the response glioma to radiochemotherapy using radiogenomics-based AI model
Predict the radiochemotherapy sensitivity of patients with glioma using an established radiogenomics-based artificial intellegent mode
Locations (1)
Beijing Tiantan Hospital
Beijing, Beijing Municipality, China