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Development and Validation of an Interpretable Machine Learning Model for Predicting Carcinoma Risk in Colorectal Laterally Spreading Tumors: A Single-Center Retrospective Study

Development and Validation of an Interpretable Machine Learning Model for Predicting Carcinoma Risk in Colorectal Laterally Spreading Tumors: A Single-Center Retrospective Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600116902
Enrollment
Unknown
Registered
2026-01-16
Start date
2026-01-16
Completion date
Unknown
Last updated
2026-01-27

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

Conditions

Colorectal Laterally Spreading Tumors

Interventions

The observation group of lateral-developing tumors in the colon and rectum:None

Sponsors

Southern Medical University Southern Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >= 18, Gender not limited; 2. From January 2001 to November 2024, diagnosed with rectal lateral developmental tumor through colonoscopy examination and received treatment or biopsy.

Exclusion criteria

Exclusion criteria: 1. No pathological examination results; 2. Incomplete clinical data.

Design outcomes

Primary

MeasureTime frame
Predictive accuracy;Sensitivity;Specificity;—

Secondary

MeasureTime frame
Evaluate the importance of each predictive feature in the model for the prediction outcome;—

Countries

China

Contacts

Public ContactZelong Han

Southern Medical University Southern Hospital

hzl198886@163.com+86 18925061960

Outcome results

None listed

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