ArticleQuantitative imaging in medicine and surgery2022
Soft tissue sarcoma: correlation of dynamic contrast-enhanced magnetic resonance imaging features with HIF-1α expression and patient outcomes.
Article in Quantitative imaging in medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Noninvasive multimodal photoacoustic-ultrasound imaging for dynamic assessment of placental hypoxia and perfusion in preeclampsia.Photoacoustics · 2026Article
- Application of quantitative imaging parameters combined with tertiary lymphoid structures in recurrence risk assessment of soft tissue sarcoma: a retrospective study.Quantitative imaging in medicine and surgery · 2026Article
- Enhanced magnetic resonance imaging features and management principles of low-grade myofibroblastic sarcoma of the breast: a case report.Gland surgery · 2025Article
- Applying dynamic contrast-enhanced MRI tracer kinetic models to differentiate benign and malignant soft tissue tumors.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Prediction of HIF-1α expression in endometrial carcinoma by enhanced TFrontiers in oncology · 2024Article
- Primary synovial sarcoma on MRI - a case series and review of the literature.Polish journal of radiology · 2023Review
- Multiparametric magnetic resonance imaging for radiation therapy response monitoring in soft tissue sarcomas: a histology and MRI co-registration algorithm.Theranostics · 2023Article
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Abstract
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: We enrolled 71 patients with STS who underwent 3.0 Tesla (3.0T) MRI, including conventional MRI and DCE-MRI sequencing. The location, maximum tumor diameter, envelope, T2-weighted tumor heterogeneity, peritumoral edema, peritumoral enhancement, necrosis, configuration, tail-like pattern, bone invasion, and vessel/nerve invasion and/or encasement of the STSs were determined using conventional MRI images. The DCE-MRI parameters, including the volume transfer constant ( Results: Of the conventional MRI features, high heterogeneity, peritumoral enhancement, necrosis, and multilobulation of the T2-weighted tumor were prone to occur in the high-expression group. Of the DCE-MRI parameters, the high-expression group showed significantly higher 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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