Super-resolution reconstruction improves multishell diffusion: using radiomics to predict adult-type diffuse glioma IDH and grade.

Objectives: Multishell diffusion scanning is limited by low spatial resolution. We sought to improve the resolution of multishell diffusion images through deep learning-based super-resolution reconstruction (SR) and subsequently develop and validate a prediction model for adult-type diffuse glioma, isocitrate dehydrogenase status and grade 2/3 tumors.

Materials And Methods: A simple diffusion model (DTI) and three advanced diffusion models (DKI, MAP, and NODDI) were constructed based on multishell diffusion scanning.

Applying MAP-MRI to Identify the WHO Grade and Main Genetic Features of Adult-type Diffuse Gliomas: A Comparison of Three Diffusion-weighted MRI Models.

Rationale And Objectives: Currently, there is no noninvasive method to effectively judge the genotype of diffuse gliomas. We explored the association between mean apparent propagator-MRI (MAP-MRI) and WHO grade 2/3, IDH 1/2 mutations, and chromosome 1p/19q combined deletion genotypes in adult-type diffuse gliomas and compared it with the diagnostic efficiency of diffusion tensor imaging (DTI) and diffusional kurtosis imaging (DKI).

Materials And Methods: We prospectively recruited 67 participantshistopathologically diagnosed with adult-type diffuse gliomas.

Construction of Diagnosis Model of Moyamoya Disease Based on Convolution Neural Network Algorithm.

Objective: The convolutional neural network (CNN) was used to improve the accuracy of digital subtraction angiography (DSA) in diagnosing moyamoya disease (MMD), providing a new method for clinical diagnosis of MMD.

Methods: A total of 40 diagnosed with MMD by DSA in the neurosurgery department of our hospital were included. At the same time, 40 age-matched and sex-matched patients were selected as the control group.

Chemotherapy for Adults with Malignant Glioma: A Systematic Review and Network Meta-Analysis.

Aim: Malignant glioma is the most common primary brain tumor in adults and the survival rate has remained very low. Thus, determining the optimal treatment for patients can be challenging. To compare the efficacy of common therapies, we performed network meta-analysis to estimate the efficacy and safety among procarbazine, lomustine, vincristine, temozolomide, bevacizumab plus temozolomide, and placebo for patients with malignant glioma.