A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.
Ying HouMei-Ling BaoChen-Jiang WuJing ZhangYu-Dong ZhangHai-Bin ShiPublished in: BJU international (2019)
Our ML-based model, with a 5-15% cutoff, is superior to the MSKCC nomogram, sparing ≥50% of ePLNDs with a risk of missing <3% of LNIs.