This prospective, randomized, controlled, single-center study evaluates whether an AI navigation planning system used during Transurethral Resection of Bladder Tumor (TURBT) can improve recurrence-free survival in patients with non-muscle invasive bladder cancer. Participants are randomized to receive either standard TURBT surgery or standard TURBT with AI-assisted real-time tumor identification and resection margin guidance. The primary outcome is recurrence-free survival, with secondary outcomes including surgical duration, intraoperative blood loss, perioperative bleeding, and complication rates. The study aims to provide high-level evidence on the clinical utility of AI-assisted surgical navigation in bladder cancer treatment.
Inclusion Criteria:
Exclusion Criteria:
20301050222@fudan.edu.cn+86-19839759960
Participants in the control group undergo conventional Transurethral Resection of Bladder Tumor (TURBT) following standard clinical guidelines. The surgeon determines tumor margins and resection range based solely on white-light cystoscopy findings and personal clinical experience, without the use of the AI navigation planning system. All perioperative management, including anesthesia, postoperative care, and follow-up protocols, is identical to that of the experimental group.
Participants in the experimental group undergo standard TURBT with the assistance of the AI navigation planning system. During surgery, the real-time cystoscopic video is processed by the system, which automatically identifies suspicious tumor regions and dynamically displays recommended resection margins as visual overlays on the surgical monitor. The surgeon integrates this AI-generated information with clinical judgment to determine the final resection plan, with the ultimate decision-making authority remaining with the surgeon at all times. All perioperative management, including anesthesia, postoperative care, and follow-up protocols, is identical to that of the control group.
wang.hang@zs-hospital.sh.cn+86-15201926887
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