Precise prediction of bone metastases and metastatic burden using exosomal mirnas and radiomics: a multi-center study.

ABSTRACT:

Background

Bone metastasis of prostate cancer (PCa) is a challenging problem, leading to poor prognosis of patients. Existing biomarkers have limited sensitivity and specificity. Therefore, we urgently need a novel diagnostic tool to predict PCa bone metastasis.

Methods

Patient data and blood samples were collected according to the inclusion and exclusion criteria. logistic regression analysis was used to screen clinical indicators and miRNAs, and radiomics was used to construct a prediction model. Finally, the performance of the model was evaluated by internal verification, external verification and Delong test. Two nomograms were successfully established by analyzing clinical data, plasma miRNAs and imaging data. Nomogram 1 predicts the presence or absence of bone metastas

SUBMITTER: Wang C 

PROVIDER: S-EPMC12175389 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature