The Auxiliary Effect of Artificial Intelligence in the Detection of Precancerous Lesions in Proximal Colon Cancer
NCT ID: NCT07338643
Last Updated: 2026-01-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
1200 participants
OBSERVATIONAL
2026-02-26
2028-08-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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AI group
AI group
Full AI assistance was used throughout the standard colonoscopy procedure.
Series group
Serial group
After normal withdrawal of the colonoscope to the splenic flexure during standard colonoscopy, full AI assistance was initiated. The colonoscope was re-entered to the ileocecal region for observation. Any missed lesions were recorded.
Standard group
Standard colonoscopy group
The standard colonoscopy procedure was performed as usual
Interventions
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AI group
Full AI assistance was used throughout the standard colonoscopy procedure.
Serial group
After normal withdrawal of the colonoscope to the splenic flexure during standard colonoscopy, full AI assistance was initiated. The colonoscope was re-entered to the ileocecal region for observation. Any missed lesions were recorded.
Standard colonoscopy group
The standard colonoscopy procedure was performed as usual
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
2. Those with intestinal obstruction or malignant tumors
3. Patients with colorectal lesions that need to be treated in stages.
4. Other contraindications for colonoscopy examination.
ALL
No
Sponsors
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Limian Er
OTHER
Responsible Party
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Limian Er
The director of the Endoscopy Department of the Fourth Hospital of Hebei Medical University
Principal Investigators
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Li mian Er
Role: STUDY_DIRECTOR
Hebei Medical University Fourth Hospital
Locations
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the Fourth Hospital of Hebei Medical University
Shijiazhuang, Hebei, China
Countries
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Central Contacts
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Facility Contacts
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References
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Luo Y, Zhang Y, Liu M, Lai Y, Liu P, Wang Z, Xing T, Huang Y, Li Y, Li A, Wang Y, Luo X, Liu S, Han Z. Artificial Intelligence-Assisted Colonoscopy for Detection of Colon Polyps: a Prospective, Randomized Cohort Study. J Gastrointest Surg. 2021 Aug;25(8):2011-2018. doi: 10.1007/s11605-020-04802-4. Epub 2020 Sep 23.
Wu J, Zhang Q, Li X, Bai T, Hou X, Li G, Song J. The Effect of the Second Forward View on the Detection Rate of Sessile Serrated Lesions in the Proximal Colon: A Single-Center Prospective Randomized Controlled Study. Clin Transl Gastroenterol. 2025 Feb 1;16(2):e00805. doi: 10.14309/ctg.0000000000000805.
Leggett B, Whitehall V. Role of the serrated pathway in colorectal cancer pathogenesis. Gastroenterology. 2010 Jun;138(6):2088-100. doi: 10.1053/j.gastro.2009.12.066.
Kim HY, Kim SM, Seo JH, Park EH, Kim N, Lee DH. Age-specific prevalence of serrated lesions and their subtypes by screening colonoscopy: a retrospective study. BMC Gastroenterol. 2014 Apr 28;14:82. doi: 10.1186/1471-230X-14-82.
Huang J, Chan PSF, Pang TWY, Choi P, Chen X, Lok V, Zheng ZJ, Wong MCS. Rate of detection of serrated lesions at colonoscopy in an average-risk population: a meta-analysis of 129,001 individuals. Endosc Int Open. 2021 Mar;9(3):E472-E481. doi: 10.1055/a-1333-1776. Epub 2021 Feb 19.
王人杰, 张晓兰, 蔡继东, 等. 结直肠息肉的规范化诊疗[J]. 中华胃肠外科杂志, 2024, 27(6): 583-590.
叶倩云,刘凤斌.大肠息肉发病相关风险因素及方法学研究[J].中华中医药杂志, 2018,33(3):4. DOI:CNKI:SUN:BXYY. 0.2018-03-080.
Other Identifiers
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2025KS177
Identifier Type: -
Identifier Source: org_study_id
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