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PDZK1 is correlated with DCE-MRI perfusion parameters in high-grade glioma
Zhang, Yi; Wang, Feng; Huang, YongLi.
Affiliation
  • Zhang, Yi; West China Airport Hospital of Sichuan University. The First Peoples Hospital of Shuangliu District. Department of Radiology. Chengdu City. CN
  • Wang, Feng; West China Airport Hospital of Sichuan University. The First Peoples Hospital of Shuangliu District. Department of Radiology. Chengdu City. CN
  • Huang, YongLi; West China Airport Hospital of Sichuan University. The First Peoples Hospital of Shuangliu District. Department of Radiology. Chengdu City. CN
Clinics ; Clinics;79: 100367, 2024. tab, graf
Article de En | LILACS-Express | LILACS | ID: biblio-1564338
Bibliothèque responsable: BR1.1
ABSTRACT
Abstract Objective This study investigated the relationship between PDZK1 expression and Dynamic Contrast-Enhanced MRI (DCE-MRI) perfusion parameters in High-Grade Glioma (HGG). Methods Preoperative DCE-MRI scanning was performed on 80 patients with HGG to obtain DCE perfusion transfer coefficient (Ktrans), vascular plasma volume fraction (vp), extracellular volume fraction (ve), and reverse transfer constant (kep). PDZK1 in HGG patients was detected, and its correlation with DCE-MRI perfusion parameters was assessed by the Pearson method. An analysis of Cox regression was performed to determine the risk factors affecting survival, while Kaplan-Meier and log-rank tests to evaluate PDZK1′s prognostic significance, and ROC curve analysis to assess its diagnostic value. Results PDZK1 was upregulated in HGG patients and predicted poor overall survival and progression-free survival. Moreover, PDZK1 expression distinguished grade III from grade IV HGG. PDZK1 expression was positively correlated with Ktrans 90, and ve_90, and negatively correlated with kep_max, and kep_90. Conclusion PDZK1 is upregulated in HGG, predicts poor survival, and differentiates tumor grading in HGG patients. PDZK1 expression is correlated with DCE-MRI perfusion parameters.
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Texte intégral: 1 Indice: LILACS langue: En Texte intégral: Clinics Thème du journal: MEDICINA Année: 2024 Type: Article

Texte intégral: 1 Indice: LILACS langue: En Texte intégral: Clinics Thème du journal: MEDICINA Année: 2024 Type: Article