Biological basis of perfusion weighted imaging for predicting prognosis of adult gliomas
Objective To explore the value and biological significance of dynamic sensitivity contrastive perfusion weighted imaging(DSC-PWI)in predicting the prognosis of diffuse glioma in adults.Methods From June 2013 to July 2021,totally 343 patients with adult diffuse gliomas admitted to Neurosurgery of the First Hospital Affiliated to Zhengzhou University and confirmed by pathological examination were selected.Collect preoperative PWI imaging data and tumor samples from patients,and randomly divided them into a training set(n=175)and a testing set(n=168).Extract imaging omics features from PWI images,and establish a qualitative imaging prediction model after screening.Based on imaging characteristics and RNA seq Genomics analysis,biological pathways were identified through gene probe enrichment analysis(GSEA)and weighted Gene co-expression network analysis(WGCNA).Results Seven imaging omics features were selected and corre-sponding scores were calculated,proving to be a predictive factor for the prognosis of glioma(P＜0.05).At the same time,three biological path-way categories were found to be significantly related to the imaging clinical composite model,including hypoxia induction,immune regulation,and tumor proliferation.Conclusion This study will construct a new joint model based on machine learning methods,demonstrating good predictive performance for gliomas.Combined with RNA seq data,three biological pathways related to glioma were identified.
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