Condition: Bladder Cancer · Staging · Contrast Enhanced Ultrasound · Sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Ultrasound and magnetic resonance imaging (MRI) technologies have become essential tools for the diagnosis and preoperative staging assessment of bladder cancer. However, establishing a precise system suitable for clinical application remains a significant challenge, and accurate prediction of bladder cancer staging is not yet possible. Therefore, exploring a system for the precise diagnosis of preoperative staging of bladder cancer using ultrasound contrast enhancement or a combination of ultrasound contrast enhancement and MRI is of great importance. The applicant has previously demonstrated the accuracy of multimodal data analysis in the diagnosis and prediction of malignant tumors. Preliminary results from this study have shown that ultrasound contrast enhancement has a high diagnostic efficacy for the preoperative staging assessment of bladder cancer, with a high area under the curve (AUC) of 0.88, sensitivity of 83.3%, specificity of 92.5%, and accuracy of 90.8%. In this project, the applicant intends to further expand the sample size and, based on the combination of ultrasound contrast enhancement and MRI, develop a precise diagnostic system for the preoperative staging of bladder cancer to aid clinical treatment decisions.
This description comes directly from the study's public registry record.
Ou, Dr. · 020-34071020 · ouqy5@mail.sysu.edu.cn
Always discuss trial participation with your own doctor first.
| Sun Yat-sen Memorial Hospital, Sun Yat-sen University | Guangzhou, Guangdong, China | Recruiting |
Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.
We email about this public record only. Unsubscribe anytime with one click. Never medical advice.
This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.
Source record: clinicaltrials.gov/study/NCT06775977