Skip to content

Exploring the Impact of the Tumor Microenvironment on Rectal Cancer Diagnosis and Prognosis with Multi-Parameter MRI and AI for Intelligent Model Development

Integrating Multi-Parameter MRI Radiomics and Artificial Intelligence to Explore the Impact of Tumor Microenvironment on Prognosis and Develop Predictive Models in Rectal Cancer

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114373
Enrollment
Unknown
Registered
2025-12-11
Start date
2026-01-01
Completion date
Unknown
Last updated
2025-12-15

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

Conditions

rectal cancers

Interventions

Sponsors

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

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Pathologically confirmed diagnosis of rectal cancer. 2. Patients treated with chemotherapy alone or immunotherapy. 3. A minimum of one-year follow-up for all patients, with available data on endpoint events. 4. Availability of pathological reports from primary tumor biopsy or surgical resection, including tumor type and differentiation grade.

Exclusion criteria

Exclusion criteria: 1. Histological types identified as mucinous adenocarcinoma or signet-ring cell carcinoma. 2. Presence of concurrent or previous other malignant tumors. 3. Any form of anti-tumor treatment administered prior to the baseline MRI examination. 4. Absence of radiological assessments before and after the chemotherapy or immunotherapy.

Design outcomes

Primary

MeasureTime frame
Overall Survival;Area Under the Receiver Operating Characteristic Curve;Concordance Index (C-statistic C-score);

Secondary

MeasureTime frame
Disease-Free Survival;

Countries

China

Contacts

Public ContactXiaochun Meng

The Sixth Affiliated Hospital of Sun Yat-sen University

yanghch27@mail2.sysu.edu.cn+86 198 6857 5630

Outcome results

None listed

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