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Objectives
To develop a machine learning (ML)‐assisted model to identify candidates for extended pelvic lymph node dissection (ePLND) in prostate cancer by integrating clinical, biopsy, and precisely defined magnetic resonance imaging (MRI) findings.
Patients and Methods
In all, 248 patients treated with radical prostatectomy and ePLND or PLND were included. ML‐assisted models were developed from...
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