AI reads scans to spot hidden cancer spread before surgery
NCT ID NCT07183124
First seen Nov 01, 2025 · Last updated Jun 23, 2026 · Updated 36 times
Summary
This study uses an AI-powered 3D model to analyze CT and MRI scans from 1,500 rectal cancer patients. The goal is to predict whether the cancer has reached the edge of the tissue that surgeons remove, called the circumferential resection margin. If accurate, this tool could help doctors choose the best treatment approach and improve outcomes.
Disclaimer
Read more
Show less
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 — 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 — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for ONCOLOGY are added.
Genom att skicka in godkänner du våra Användarvillkor
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
Genom att skicka in godkänner du våra Användarvillkor
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
Taichung Veterans General Hospital
Taichung, Taiwan
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
AI-Assisted 3D Imaging Model
What this could lead to
If successful, this AI tool could help doctors more accurately predict if rectal cancer has spread, leading to better surgical planning and outcomes.
What could go wrong
This is a retrospective study using existing images, not a real-time test. The AI may not perform as well in different hospitals or with varied image quality.
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.