AI body scans could make chemo safer for women with ovarian and endometrial cancer
NCT ID NCT07144618
First seen Jun 25, 2026 · Last updated Jun 26, 2026 · Updated 1 time
Summary
This study tests whether using an AI tool to analyze a patient's body composition from a CT scan can help doctors personalize chemotherapy dosing. The goal is to reduce severe side effects like low white blood cell counts in women with endometrial or ovarian cancer. About 294 participants will be randomly assigned to receive either standard dosing or AI-assisted dosing, and researchers will compare side effects, quality of life, and survival rates.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Paclitaxel (chemotherapy)
- What this could lead to
- If successful, this could lead to a more personalized way to dose chemotherapy, reducing severe side effects like low white blood cell counts and improving quality of life for patients.
- What could go wrong
- This is an early-stage study (Phase NA) with 294 participants, so results may not apply to all patients. The AI tool's predictions might not consistently outperform standard dosing, and the study focuses on specific cancers and chemotherapy drugs.
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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
-
National Cheng Kung University Hospital
Tainan, 704, Taiwan
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