Using tissue images and patient information to predict genetic changes in colorectal cancer

Hybrid model for predicting microsatellite instability in colorectal cancer using hematoxylin & eosin-stained images and clinical features

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

ISRCTN

Registry ID

ISRCTN39695759

Enrollment

120

Registered

2024-09-22

Start date

2024-03-12

Completion date

Unknown

Last updated

2024-09-30

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

Conditions

Colorectal cancer Cancer

Interventions

This study included two patient cohorts: The Cancer Genome Atlas cohort (TCGA set, n = 559), divided into training and internal validation subsets in a 7:3 ratio, and the Dongyang CRC cohort (Dongyang

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Confirmed by pathological histology as a patient with colorectal cancer 2. Clear consciousness 3. Relevant tests have been conducted, including results of microsatellite and common gene mutation states (RAS, BRAF) 4. The patient voluntarily participates and signs an informed consent form

Exclusion criteria

Exclusion criteria: 1. Patients with non primary colon cancer or a history of other organ malignancies at the same time 2. Results without microsatellite and common gene mutation states (RAS, BRAF) 3. Other patients with incomplete clinical data 4. Those with unclear pathological images

Design outcomes

Primary

Measure	Time frame
Tumor diagnosis and MSI status measured using patient records at a single time point	—

Secondary

Measure	Time frame
There are no secondary outcome measures	—

Countries

China

Contacts

Public ContactHangping Wei

applewhp@163.com+86 13735632532

Outcome results

None listed

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