A prospective study of MMR status detection in colorectal cancer based on deep learning artificial intelligence diagnosis versus immunohistochemistry

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2300076556

Enrollment

Unknown

Registered

2023-10-11

Start date

2023-11-01

Completion date

Unknown

Last updated

2023-10-16

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

Conditions

colorectal cancer

Interventions

Gold Standard:MMR status detection by immunohistochemistry

Index test:deep learning model predicting MMR status of patients with colorectal cancer

Eligibility

Sex/Gender

All

Age

18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1: primary colorectal cancer 2: ages ranging from 18 to 75 years old 3: no preoperative treatment 4: HE stained slides from surgical sections 5: definite MMR status

Exclusion criteria

Exclusion criteria: 1: large folds 2: out of focus 3: incomplete clinicopathological information

Design outcomes

Primary

Measure	Time frame
AUROC;	—

Secondary

Measure	Time frame
sensitivity;specificity;positive predictive value;negative predictive value;	—

Countries

China

Contacts

Public ContactMuyan Cai

Sun Yat-sen University Cancer Center

caimy@sysucc.org.cn+86 87342775

Outcome results

None listed

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