AI reads CT scans to guide colon cancer treatment
NCT ID NCT07406958
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study aims to improve how doctors classify colon tumors by using artificial intelligence (AI) to analyze CT scans. The AI will be trained to tell early-stage tumors from advanced ones and to detect lymph node involvement, which is key for deciding on treatments like chemotherapy. Researchers will use data from 1000 adults who had colon surgery at multiple hospitals. The goal is to make staging more accurate and consistent, leading to better, personalized treatment plans.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 1,000 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Feb 2026
An estimate. Start dates often move.
- Expected to finish
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Feb 2028
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
Adults (≥18 years) with pathologically confirmed colon cancer who underwent surgical resection at participating hospitals and had an available preoperative thoraco-abdominopelvic CT performed within the institution and linked to a pathology report containing TNM staging within 90 days of surgery. Imaging and reports extracted from institutional data warehouse; ambiguous or missing labels resolved by manual medical review.
- Ages
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18 years and older
- 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: Adults who underwent colon resection surgery at an AP-HP hospital between 01/01/2017 and 01/11/2024, with: A preoperative abdominopelvic CT scan available within 60 days prior to surgery. A corresponding pathology report (anatomopathological results) available within 90 days post-surgery. Colon resection identified by CCAM procedure codes: HHFA002, HHFA004, HHFA005, HHFA006, HHFA008, HHFA009, HHFA010, HHFA014, HHFA017, HHFA018, HHFA021, HHFA022, HHFA023, HHFA024, HHFA026, HHFA028, HHFA029, HHFA030, HHFA031, HHFC040, HHFC296. Confirmed diagnosis of colon tumor by ICD-10 code: C18\* (colonic neoplasms). Exclusion Criteria: Patients who received neoadjuvant chemotherapy prior to surgery, identified by ICD-10 codes Z511 or Z512 recorded before the surgical act. These exclusions will be refined and confirmed through manual medical record review to ensure accuracy. Absence of usable CT imaging or anatomical pathology data linked to the surgical event.
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Departement of radiology, saint Antoin Hospital
Paris, 75012, France
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