Ultrasound Contrast-Enhanced Accurate Diagnosis of Preoperative Staging of Bladder Cancer (UCEADP-BCS)

January 21, 2025 updated by: Qiyun Ou, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

Ultrasound Contrast-Enhanced Accurate Diagnosis of Preoperative Staging of Bladder Cancer: a Prospective, Observational Study

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.

Study Overview

Study Type

Observational

Enrollment (Estimated)

480

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Guangdong
      • Guangzhou, Guangdong, China, 510120
        • Recruiting
        • Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

patients who have a histologically or cytologically confirmed diagnosis of primary bladder cancer

Description

Inclusion Criteria:

  • (a) eligible patients should be 18-year-old or older;
  • (b) patients should have a histologically or cytologically confirmed diagnosis of primary bladder cancer;
  • (c) patients should not have had any surgery, chemotherapy, immunotherapy, or any therapy before CEUS diagnosis.

Exclusion Criteria:

  • (a) participants with confirmed to have no carcinoma of the bladder;
  • (b) participants with previous pelvic surgery, who had undergone therapy, any bladder surgery, or had received chemotherapy, radiotherapy or immunotherapy;
  • (c) participants diagnosed with tumor recurrence or metastasis; (d) participants who were allergic to ultrasound contrast agents or could not tolerate CEUS examination, for instance, with recent myocardial infarction, angina pectoris, cardiac insufficiency, severe cardiac arrhythmia, a right/left cardiac shunt, severe pulmonary hypertension, uncontrolled systemic hypertension, acute respiratory distress syndrome, or chronic obstructive pulmonary disease.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Contrast-enhanced Ultrasonography
To evaluate the diagnostic accuracy of CEUS for the preoperative staging of bladder cancer, which would benefit the implementation of efficient therapeutic strategies.
Contrast Enhanced Ultrasound (CEUS) refers to the observation under ultrasound after the injection of ultrasound contrast agents, such as SonoVue or Lumason.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Detection of Muscle Invasion in Bladder Cancer
Time Frame: within 3 minutes
To evaluate the preoperative staging of bladder cancer,whether it is non-muscle invasive bladder cancer (NMIBC) or muscle invasive bladder cancers (MIBC)
within 3 minutes

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Luo, Prof., Department of Ultrasound in Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2024

Primary Completion (Estimated)

December 31, 2025

Study Completion (Estimated)

December 31, 2025

Study Registration Dates

First Submitted

January 10, 2025

First Submitted That Met QC Criteria

January 10, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

January 21, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Sharing Supporting Information Type

  • SAP
  • ANALYTIC_CODE

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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