ArticleFrontiers in oncology2026
Development and validation of a risk prediction model for prostate cancer integrating quantitative MRI and clinical data.
Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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6 authors.
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Abstract
Objectives: To develop and validate a predictive model for prostate cancer (PCa)by integrating quantitative MRI and clinical data. Methods: A retrospective study was conducted on 290 patients clinically diagnosed with prostate lesions between March 2023 and October 2024. All patients underwent multimodal quantitative MRI preoperatively, including T2-weighted imaging (T2WI), T1-weighted imaging (T1WI), diffusion-weighted imaging (DWI, b=0, 500 mm Results: 1) Two radiologists showed good consistency (ICCs > 0.75). 2) There were significant differences between the PCa and non-PCa groups for all variables except age( Conclusion: The prediction model based on quantitative MRI and clinical parameters has good performance in discrimination, stability, consistency and clinical applicability. Compared to existing diagnostic models, it offers distinct advantages in data objectivity, reproducibility, non-invasiveness, cost-effectiveness, and operational simplicity.
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