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NCT07583381
NA

A Prospective Study of a Subharmonic-Aided Pressure Estimate Technology for Early Prediction of Response to Systemic Therapy in Colorectal Cancer Liver Metastases

Sponsor: The First Hospital of Jilin University

View on ClinicalTrials.gov

Summary

Colorectal cancer is a common type of cancer that often spreads to the liver. When cancer spreads to the liver, treatment becomes very difficult. Many patients will undergo chemotherapy to shrink the tumor. Currently, doctors use CT or MRI scans to assess the effect of chemotherapy, but these examinations usually take about 2 months to show changes in the size of the tumor. The purpose of this study is to test whether a special type of ultrasound technology called "contrast-enhanced subharmonic ultrasound" can help doctors determine earlier whether chemotherapy is effective compared to conventional scans. This ultrasound detection does not use radiation and can display the blood perfusion status inside liver tumors. We will observe the changes in blood flow perfusion inside the tumor before the start of treatment and after 1-2 chemotherapy cycles to see if these changes can predict whether chemotherapy will be effective in the future. If this test is effective, it will help doctors adjust the treatment plan more quickly, which may improve the treatment effect for colon cancer patients whose cancer cells have spread to the liver, and also help identify patients who are not responding to chemotherapy as early as possible, reducing the side effects and economic burden of patients.

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

INTERVENTIONAL

Enrollment

107

Start Date

2026-06-01

Completion Date

2027-12-31

Last Updated

2026-05-13

Healthy Volunteers

No

Interventions

DIAGNOSTIC_TEST

SHAPE

Using the ultrasound probe, perform a full-liver sweep to identify the target lesion. Save both static and dynamic two-dimensional images. Optimize all machine parameters, switch to the subharmonic imaging mode, and standardize the MI settings. Record a 5-second video every 30 seconds, repeating this process three times. Finally, perform TIC analysis