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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
Bone Metastases Pattern in Newly Diagnosed Metastatic Bladder Cancer: A Population-Based Study
Chao Zhang1, Lele Liu1, Fang Tao1
1Department of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Bone metastases (BM) significantly reduce survival in bladder cancer (BC) patients. Identifying risk factors like advanced stage and poor differentiation aids in predicting BM and personalizing treatment.
Area of Science:
- Oncology
- Epidemiology
- Cancer Metastasis
Background:
- Bone metastases (BM) are a significant concern in bladder cancer (BC) patients.
- Understanding the incidence, risk, and prognostic factors of BM is crucial for improving patient outcomes.
Purpose of the Study:
- To estimate the incidence and survival rates of bone metastases in initial bladder cancer patients.
- To identify risk factors associated with the occurrence of bone metastases in bladder cancer.
- To determine prognostic factors influencing survival in bladder cancer patients with bone metastases.
Main Methods:
- Utilized the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database (2010-2014).
- Employed multivariate logistic and Cox regression analyses for risk and prognostic factor identification.
- Performed Kaplan-Meier analysis with log-rank test for survival estimation.
Main Results:
- Identified 1,223 (1.39%) bladder cancer patients with de novo bone metastases.
- Risk factors for BM include advanced age, black race, unmarried status, higher T/N stage, poor differentiation, and other metastases (lung, liver, brain).
- Median survival for BC patients with BM was 4.0 months; advanced age, no surgery, and other metastases predicted worse survival.
Conclusions:
- Bone metastases dramatically decrease survival in bladder cancer patients.
- This study provides population-based insights into risk and prognostic factors for initial bladder cancer with BM.
- Findings can aid in predicting BM occurrence and developing individualized treatment plans.
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