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

> **NCT07088354** · — · RECRUITING · sponsor: **Tongji Hospital** · enrollment: 300 (estimated)

## Conditions studied

- Esophageal Squamous Cell Carcinoma
- Neoadjuvant Immunochemotherapy
- Pathological Complete Response
- Deep Learning

## Interventions

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

## Key facts

- **NCT ID:** NCT07088354
- **Lead sponsor:** Tongji Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2025-03-01
- **Primary completion:** 2026-06-01
- **Final completion:** 2026-12-01
- **Target enrollment:** 300 (ESTIMATED)
- **Last updated:** 2025-07-28


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07088354

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07088354, "Deep Learning Model Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy". Retrieved via AI Analytics 2026-06-24 from https://api.ai-analytics.org/clinical/NCT07088354. Licensed CC0.

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