Actively Recruiting

All Genders
NCT06909643

Development and Prospective Validation of a Multimodal Fusion Artificial Intelligence Model for Predicting the Efficacy of Neoadjuvant Treatment of Bladder Cancer

Led by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University · Updated on 2025-04-03

550

Participants Needed

1

Research Sites

208 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

This study is a multi-center observational study without interventions, including the construction of an AI diagnostic model and retrospective testing of a multi-center cohort. The study participants are bladder cancer patients who have undergone imaging examinations, been pathologically diagnosed, and received neoadjuvant treatment, with complete clinical and pathological data. The study plans to enroll 130 patients from our center, collecting corresponding imaging images, and gathering clinical and genomic data to build and internally validate a multimodal AI model. The model's generalization and robustness will be tested to explore the association between multimodal data and the efficacy of neoadjuvant treatment for bladder cancer. The aim is to assist clinicians in predicting and evaluating the efficacy of neoadjuvant treatment for bladder cancer, with the goal of improving patient diagnosis, treatment outcomes, and prognosis.

CONDITIONS

Official Title

Development and Prospective Validation of a Multimodal Fusion Artificial Intelligence Model for Predicting the Efficacy of Neoadjuvant Treatment of Bladder Cancer

Who Can Participate

All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Bladder tumors confirmed by pathological diagnosis after resection
  • Planned to receive neoadjuvant therapy and radical cystectomy
Not Eligible

You will not qualify if you...

  • Missing or incomplete standard bladder imaging or pathological data
  • Prior local treatments such as interventional embolization
  • Previous systemic treatments including radiotherapy, chemotherapy, immunotherapy, or targeted therapy
  • Poor quality of imaging or pathological images

AI-Screening

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Trial Site Locations

Total: 1 location

1

Sun Yat-sen Memorial Hospital of Sun Yat-sen University

Guangzhou, Guangdong, China, 510080

Actively Recruiting

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Research Team

T

Tianxin Lin, Ph.D

CONTACT

H

Haishan Lin, MD

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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