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Rectal CancerNCT04999007

Artificial Intelligence Assists Surgeons' Decision Making

A study testing Artificial intelligence algorithm in people with Rectal Cancer, run by Jichao Qin at 1 site in China.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

This study will evaluate whether artificial intelligence technique reduces the temporary ileostomy rate in patients with rectal cancer who receive anterior resection. Read more about this study

Who is it for?
Ages 18 to 85 years
Conditions the study is for
Rectal Cancer
What is being tested?
Artificial intelligence algorithm
Could I receive a placebo?
No, everyone receives an active treatment
How many people
872 participants
Where
1 siteChina
Study dates
2 Sep 2021to 17 Mar 2025
Phase
Interventional
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 85 years
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Who may be able to join

  • Aged older than 18 years and younger than 85 years.
  • Primary rectal adenocarcinoma confirmed by preoperative pathology result.
  • Expected curative resection via total mesorectal excision procedure.
  • American Society of Anesthesiologists (ASA) class I, II, or III.
  • Written informed consent.

Who cannot join

  • Pregnant or breastfeeding women.
  • Severe mental disorder or language communication disorder.
  • Hartmann surgery or colostomy is performed intraoperatively.
  • Interrupted of surgery for more than 30 minutes due to any cause.
  • Malignant tumors with other organs

Trial locations and contacts

1 site in 1 country.

China1 site
  • Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology

    Wuhan, Hubei, 430000

Other trials in China

About this study

Official title: Artificial Intelligence-assisted Decision Making for Temporary Ileostomy: A Prospective Randomized Controlled Trail.

This study will evaluate whether artificial intelligence technique reduces the temporary ileostomy rate in patients with rectal cancer who receive anterior resection.

Read the detailed description

Anastomotic leakage is a serious and life-threatening complication after anterior resection in patients with rectal cancer, and temporary ileostomy was introduced to reduce the serious consequences due to anastomotic leakage. However, whether a temporary ileostomy is applied in the surgery depends on the surgeon's experience, and there are no clinical guidelines to follow. Recently, artificial intelligence has widely been applied in medical field and produced some exciting results, and we have developed a high-performance artificial intelligence model based on 2369 rectal cancer patients, which showed good discrimination of anastomotic leakage and may reduce the temporary ileostomy rate. Hence, this randomized controlled trail will evaluate the artificial intelligence model for guiding surgical decision-making of performing a temporary ileostomy in patients with rectal cancer who receive anterior resection.

Conditions
Rectal Cancer
Being tested
Artificial intelligence algorithm
Keywords
artificial intelligence,, rectal cancer, temporary ileostomy, anastomotic leakage
Medical subject headings
Rectal Neoplasms, Anastomotic Leak

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Artificial intelligence algorithmOther

    Temporary ileostomy will be performed in the patients with high-risk of anastomotic leakage and not performed in the patients with low-risk of anastomotic leakage.

Study groups in NCT04999007
Study groupRoleWhat they receive
ControlNo interventionWhether the patients in the control arm will receive a temporary ileostomy depends on surgeons' experience.
InterventionExperimentalWhether the patients in the intervention arm will receive a temporary ileostomy depends on the risk of anastomotic leakage calculated by the artificial intelligence algorithm.
Receives: Other: Artificial intelligence algorithm

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. The rate of temporary ileostomy.

    Measured: Intraoperative period

  2. The morbidity of anastomotic leakage.

    The diagnosis of anastomotic leakage is determined when the passage of fecal material from pelvic drainage tube or the water-soluble contrast agent enema and extra-rectal imaging. Alternatively, anastomotic leakage can be diagnosed when the integrity of the anastomosis is interrupted or the appearance of pelvic abscess next to the anastomosis by computerized tomography (CT) examination or secondary surgical exploration.

    Measured: 30 days

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted10 Aug 2021
  2. Study start2 Sep 2021
  3. Primary completion17 Mar 2025
  4. Study completion17 Mar 2025

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Diagnosis
Allocation
Randomised
Intervention model
Parallel groups
Masking
Triple blind
Who is masked
Participant, Care provider, Outcomes assessor
Enrolment
872 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT04999007
Sponsor's protocol ID
TJ-IRB20210643
Status last verified
Oct 2026
First submitted
8 Aug 2021
Last updated
13 Oct 2026
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Publications

  • Shao S, Li Y, Li J, Liu L, Zeng Y, Song C, Huang W, Mu L, Qin J. Machine learning model-guided selective use of temporary diverting ileostomy in rectal cancer surgery: a randomized controlled trial. Nat Commun. 2026 May 25;17(1):6802. doi: 10.1038/s41467-026-73565-4.

    PubMed 42185305

Questions about this trial

What is this clinical trial studying?

A study testing Artificial intelligence algorithm in people with Rectal Cancer, run by Jichao Qin at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 5 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 13 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

The rate of temporary ileostomy. (time frame: Intraoperative period). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT04999007, which also lists 1 linked publication.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 13 Oct 2026; AzTrials last refreshed its copy on 3 Nov 2026.

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