AI reads MRI scans to predict who will benefit from chemo
NCT ID NCT07702708
First seen Jul 14, 2026 · Last updated Jul 15, 2026 · Updated 1 time
Summary
This study tests whether an artificial intelligence model can predict which patients with HR+/HER2- breast cancer will benefit most from chemotherapy given before surgery. Researchers will use pre-treatment MRI scans to classify patients into high- or low-benefit groups and compare their outcomes, such as residual cancer after treatment. The goal is to personalize chemotherapy decisions and avoid unnecessary treatment for those unlikely to respond.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Pre-treatment DCE-MRI-based AI model
- What this could lead to
- If successful, this AI tool could help doctors identify which patients with HR+/HER2- breast cancer are most likely to benefit from chemotherapy before starting treatment, potentially sparing others from unnecessary side effects.
- What could go wrong
- This is an observational study, not a treatment trial, so it does not directly test a new therapy. The AI model's predictions need to be validated against historical data and may not improve outcomes in practice.
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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
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Fujian Cancer Hospital
RECRUITINGFuzhou, Fujian, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Fujian Provincial Hospital
RECRUITINGFuzhou, Fujian, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Ningde First Hospital
RECRUITINGNingde, Ningde, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Sanming Second Hospital
RECRUITINGSanming, Sanming, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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The Second Affiliated Hospital of Fujian Medical University
RECRUITINGQuanzhou, Fujian, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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