FindTrial
Sign In

Deep Neural Network for the Prediction of KRAS, NRAS and BRAF Genotypes in left-side colorectal cancer based on histopathologic images

Deep Neural Network for the Prediction of KRAS, NRAS and BRAF Genotypes in left-side colorectal cancer based on histopathologic images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400087753
Enrollment
Unknown
Registered
2024-08-02
Start date
2024-08-10
Completion date
Unknown
Last updated
2024-08-05

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:Gene testing methods include PCR, second-generation sequencing, etc
Index test:Artificial Intelligence Model Diagnosis Tool Based on Deep Learning Neural Network

Sponsors

The Third Affiliated Hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. The primary lesion of the colon and rectum is located on the left side, and the histopathological diagnosis is adenocarcinoma; 2. The preoperative clinical staging is T1-4, N0-3, M0 (AJCC-8th);

Exclusion criteria

Exclusion criteria: 1. Patients with primary colorectal cancer located in the right colon (the proximal colon from the cecum to two-thirds of the transverse colon); 2. Patients without KRAS, NRAS, and BRAF gene status information;

Design outcomes

Primary

MeasureTime frame
AUC;Accuracy ;—

Secondary

MeasureTime frame
Sensitivity;Specificity;Positive predicative value;Negative predictive value;—

Countries

China

Contacts

Public ContactLiu jianpei

The Third Affiliated Hospital of Sun Yat-sen University

liujpei2@sysu.edu.cn+86 136 9423 0404

Outcome results

None listed

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