MedTrace Logo

Deep Learning Model Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy

NCT07088354 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2025-07-28

No results posted yet for this study

Summary

This study aims to develop and validate a deep learning model to predict pathological complete response (pCR) in patients with esophageal squamous cell carcinoma who have undergone neoadjuvant immunochemotherapy. Clinical, imaging, and pathological data from previously treated patients will be collected and analyzed. The model is expected to assist in predicting treatment outcomes and guide personalized therapeutic strategies.

Conditions

Interventions

DIAGNOSTIC_TEST

The high-throughput extraction of large amounts of quantitative image features from medical images

The high-throughput extraction of large amounts of quantitative image features from medical images

Sponsors & Collaborators

  • Tongji Hospital

    lead OTHER

Principal Investigators

  • Yangkai Li, MD, PhD · Tongji Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-03-01
Primary Completion
2026-06-01
Completion
2026-12-01

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07088354 on ClinicalTrials.gov