A Novel Nomogram and Risk Classification System Predicting the Cancer-Specific Survival of Muscle-Invasive Bladder Cancer Patients after Partial Cystectomy.
Xiangpeng ZhanTao ChenMing JiangWen DengXiaoqiang LiuLuyao ChenBin FuPublished in: Journal of oncology (2022)
We have constructed a highly discriminative and precise nomogram and a corresponding risk classification system to predict the cancer-specific survival for muscle-invasive bladder cancer patients undergoing partial cystectomy. The model can assist in the decision on choice of treatment, patient counselling, and follow-up scheduling.
Keyphrases
- muscle invasive bladder cancer
- papillary thyroid
- lymph node metastasis
- patients undergoing
- neoadjuvant chemotherapy
- squamous cell
- robot assisted
- end stage renal disease
- ejection fraction
- newly diagnosed
- prognostic factors
- free survival
- case report
- patient reported outcomes
- decision making
- radiation therapy
- childhood cancer
- smoking cessation
- young adults
- minimally invasive