AI-Powered Low-Dose CT could spare cancer patients unnecessary radiation
NCT ID NCT03151564
First seen Jun 27, 2026 ยท Last updated Jun 27, 2026
Summary
This study tests whether a low-radiation CT scan, enhanced with artificial intelligence software, can detect liver tumors as accurately as a standard CT scan. About 146 adults with colorectal cancer and known liver metastases will receive both scans. The goal is to see if the lower-dose method provides clear enough images for radiologists to find tumors, potentially reducing radiation exposure in future scans.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary โ we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary โ we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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Locations
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University of Texas MD Anderson Cancer Center
Houston, Texas, 77030, United States