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Research and development of new technologies and products for early screening and early diagnosis of tumors based on colorectal cancer imaging artificial intelligence and liquid biopsy

Research and development of new technologies and products for early screening and early diagnosis of tumors based on colorectal cancer imaging artificial intelligence and liquid biopsy

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500109687
Enrollment
Unknown
Registered
2025-09-23
Start date
2024-11-22
Completion date
Unknown
Last updated
2025-09-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Colorectal cancer

Interventions

Index test:The radiomics and deep learning models

Sponsors

Sir Run Run Shaw Hospital, Zhejiang University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1) >= 18 years old. 2) Electronic colonoscopy is planned. 3) Voluntarily participate in this study and sign the informed consent form.

Exclusion criteria

Exclusion criteria: 1) There are implanted medical devices in the body, including pacemakers, cardioverter defibrillators, heart valves, coronary artery and peripheral vascular stents, occlusion devices, inferior vena cava filters, floating catheters, drug infusion pumps, cochlear implants, nerve stimulators (brain pacemakers), hydrocephalus, aneurysm clips, eye implants, penile implants, joint replacements, etc. 2) Past medical history includes claustrophobia, Parkinsonism, involuntary limb movements, hemiplegia, etc. 3) Vulnerable groups, including people with mental illness, cognitive impairment, critically ill patients, minors, pregnant women, illiterates, etc.

Design outcomes

Primary

MeasureTime frame
Detection rate;

Secondary

MeasureTime frame
Sensitivity;Specificity;

Countries

China

Contacts

Public ContactSun Jihong

Sir Run Run Shaw Hospital, Zhejiang University School of Medicine

sunjihong@zju.edu.cn+86 188 8888 8888

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026