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Study identifier: NCT07088354 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Esophageal Squamous Cell Carcinoma · Neoadjuvant Immunochemotherapy · Pathological Complete Response  ·  Sponsor: Tongji Hospital

PhaseN/A
Planned participants300
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Yangkai Li, MD, PhD  ·  +8613995516396  ·  doclyk@163.com

Lin Zhou, MSc  ·  zhoul0928@163.com

Always discuss trial participation with your own doctor first.

Locations (1)

Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhan, Hubei, ChinaRecruiting

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Source record: clinicaltrials.gov/study/NCT07088354