Quantitative Imaging in Medicine and Surgery · 2022 · 16 citations · 27 references
MedicineOncologyRadiologyDiagnostic ImagingDiagnostic RadiologySurvival AnalysisHypoxia AdaptationMagnetic Resonance ImagingSoft Tissue SarcomasTumor CharacterizationTumor ImagingHif-1 Alpha RegulationHif-1 SignalingHypoxia-inducible Factor ActivationHypoxia-inducible Factor SignalingHypoxia-inducible Receptor ImagingKaplan-meier Confidence IntervalsOverall MortalitySoft Tissue Tumor Imaging
Background: To investigate the value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) features for predicting hypoxia-inducible factor 1-alpha (HIF-1α) expression and patient outcomes in soft tissue sarcoma (STS). Methods: -test, chi-square test, and Mann-Whitney U-test were performed to evaluate the differences in the MRI features between the two groups. The relationships between the DCE-MRI parameters and HIF-1α expression were analyzed using Spearman's correlation analysis. The Cox proportional hazards model and Kaplan-Meier method were used for survival analysis. Results: were strongly associated with a higher risk of death. Conclusions: Conventional MRI features and DCE-MRI parameters were significantly helpful in determining HIF-1α expression levels and predicting the overall survival (OS) of patients with STS.
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Can MR Imaging Be Used to Predict Tumor Grade in Soft-Tissue Sarcoma?
Fang Zhao, Shivani Ahlawat, Sahar J. Farahani et al. · Radiology · 2014 · 150 citations
Randy L. Jensen, Michael L. Mumert, David L. Gillespie et al. · Neuro-Oncology · 2013 · 113 citations · Full text