Skip to content

Canceled by the investigator. Development of digestive system cancer biomarkers based on digital pathology and deep learning

Development of digestive system cancer biomarkers based on digital pathology and deep learning

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400085251
Enrollment
Unknown
Registered
2024-06-04
Start date
2024-06-04
Completion date
Unknown
Last updated
2024-08-19

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

Conditions

digestive system cancer

Interventions

Training group (The pathological features were extracted by computational pathology):NA
Test group (Test the accuracy of the computational pathology method):NA
Validation group (In the validation group, sequencing and other technologies were used to verify the performance of the related model methods and the biological significance of the features):NA

Sponsors

Harbin Medical University Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1.Patients with histologically diagnosed digestive system cancer; 2.Radical surgery was performed. 3.There was no history of other malignant tumors at same time. 4.Complete clinicopathological and follow-up information was available. 5.Signed Informed consent for Secondary Use of Medical History data/biological Specimens in Harbin medical university.

Exclusion criteria

Exclusion criteria: 1.Patients receiving neoadjuvant chemotherapy, radiotherapy, or chemoradiotherapy; 2.Patients who survived less than 90 days.

Design outcomes

Primary

MeasureTime frame
Overall survival;Disease free survival;C index;

Secondary

MeasureTime frame
Area under the ROC curve;

Countries

China

Contacts

Public ContactShenghan Lou

Harbin Medical University Cancer Hospital

dfq9536@163.com+86 182 3248 9915

Outcome results

None listed

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