PET/CT and MRI Model May Help Stratify Prostate Cancer Risk

Retrospective multicenter radiomics study showed moderate to high discrimination in two small external cohorts

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A machine learning radiomics model integrating PET/CT and MRI shows promise for prostate cancer risk stratification.
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The study evaluated 488 patients, with significant findings from both internal and external validation cohorts.
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Multimodal models outperformed single-modality approaches, achieving high AUC scores for clinically significant prostate cancer.
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Limitations include retrospective design, small validation cohorts, and lack of prospective validation affecting generalizability.
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The findings suggest further study of multimodal radiomics as a decision-support tool, not a replacement for biopsy.

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