Table 3 Main studies on radiomics applications in the setting of active surveillance of prostate cancer (one example for each main potential application is proposed)
From: Beyond diagnosis: is there a role for radiomics in prostate cancer management?
First author [reference number] | Publication year | Country | Aim | Design | Sample size | Imaging modality | Main outcome | Potential impact |
|---|---|---|---|---|---|---|---|---|
Xie [75] | 2021 | China | Patient selection | Retrospective, single-centre | 59 | MRI (radiomics) | A combination of texture features and ML-based analysis of ADC maps could predict PCa GG upgrading from Bx to RP | ML models may help clinicians select appropriate therapeutic strategy |
Sushentsev [77] | 2021 | UK | Predicting progression | Retrospective, single-centre | 64 | MRI (radiomics) | PRECISE and delta-radiomics models achieved comparably good performance for predicting PCa progression in AS patients (AUC 78–84.4%) | To provide a quantitative assessment of MRI-guided follow-up AS patients, less dependent on reader experience |