AI reads CT scans to match kidney cancer patients with targeted drug
NCT ID NCT07332923
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at 500 kidney cancer patients to see if CT scans and machine learning can predict levels of a protein called HIF-2α. The goal is to better identify which patients might benefit from a targeted drug called Belzutifan, reducing unnecessary treatments and improving outcomes. The research is observational and does not test a new treatment.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 500 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Aug 2024
- Expected to finish
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Sep 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients with histologically confirmed renal cell carcinoma
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Pathologically confirmed clear cell renal cell carcinoma (ccRCC) * Availability of comprehensive clinical, pathological, and follow-up information * Access to preoperative non-contrast and contrast-enhanced CT images through the PACS database * Adequately preserved pathological slides for subsequent immunohistochemical (IHC) or tissue microarray analysis * Minimum of one post-treatment follow-up with documented treatment response or efficacy evaluation Exclusion Criteria: * Patients considered ineligible for treatment owing to severe comorbid conditions or inability to undergo any therapeutic intervention * Patients with concurrent malignancies, including prior treatment for other cancers or presence of untreated active malignancies * Patients with inadequate CT image quality or missing imaging data * Patients with missing or incomplete clinical, pathological, or follow-up information
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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.
Contacts and locations
Locations
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first hospital affiliated of Fujian medical university
Fuzhou, Fujian, 350005, China
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Other studies related to the condition(s) this trial covers.
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