A two-stage model combining clinical and delta-radiomics features for prognosis in high-grade gliomas after chemoradiotherapy: a retrospective study.
A validated prediction model combines imaging and clinical data to accurately forecast survival timelines for high-grade glioma patients.
This PubMed record reports a validation study about A two-stage model combining clinical and delta-radiomics features for prognosis in high-grade gliomas after chemoradiotherapy: a retrospective study. The available abstract indicates In the external test cohort, time-dependent discrimination yielded 12-, 18-, 24- and 30-month OS AUCs of 0842, 0856, 0796, and 0943, and Kaplan-Meier analysis showed significant risk stratification (p = 0002).
What the study was
- Study design
- Validation study
- Population
- Human participants
- Sample size
- 143
- Category
- Early Detection
- Maturity
- Validated
- Journal
- La Radiologia medica
Why it surfaced
Validation study; directly matches Early cancer detection. Conservative abstract-level score 8/10.
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