Bladder Cancer Staging and Prediction of New Adjuvant Chemotherapy Efficacy Based on Deep Learning and Transfer Learning in Ultrasound-Magnetic Resonance-Pathology Multimodal Multiscale

This study uses multiple imaging methods — ultrasound, MRI, and pathology — together with artificial intelligence (AI) to improve bladder cancer staging (determining how advanced the cancer is) and to predict whether chemotherapy will be effective. The goal is to help doctors make better treatment decisions before and after surgery. **You may be eligible if:** - Your imaging suggests you may have bladder cancer (and you are willing to undergo further evaluation) - Your bladder is well-filled during ultrasound and you have no known allergy to ultrasound contrast agents - You have not yet had surgery or chemotherapy/radiation - You are scheduled for surgical treatment, and either have symptoms of bladder cancer (e.g., blood in urine), a biopsy confirming cancer, or lab results suggesting malignancy **You may NOT be eligible if:** - You cannot tolerate surgery - You are allergic to ultrasound contrast agents - Your pre-operative ultrasound was unsuccessful or results were non-compliant - Your surgical pathology does not confirm bladder cancer - You have already received chemotherapy or radiation Talk to your doctor to see if this trial is right for you.