Predicting Pathological Complete Response in Esophageal Squamous Cell Carcinoma Using a Multimodal Model Integrating Clinical, Radiomics, and Deep Learning Features

Brief summary (registry, in English)

This multicenter, retrospective cohort study reviews the medical records and CT scans of adults with esophageal squamous cell carcinoma (ESCC) who received neoadjuvant immunotherapy plus chemotherapy before surgery at three hospitals in China. The goal is to develop and validate a computer-assisted model that predicts which patients achieve a pathological complete response (pCR)-meaning no residual tumor is found at surgery-after preoperative treatment. Accurate pCR prediction may help clinicians personalize care and avoid unnecessary treatments in likely non-responders. The study includes 363 patients. For each patient, routinely collected clinical information and preoperative venous-phase chest CT images were analyzed. From CT images, both radiomics features and features learned by a "2.5D" deep learning approach with multiple-instance learning (MIL) were extracted. These were combined with clinical variables to create a multimodal prediction model. Model performance will be evaluated using standard metrics and validated in internal and external cohorts. Patients typically received two cycles of taxane-platinum chemotherapy (paclitaxel with cisplatin or carboplatin) combined with camrelizumab every 2-3 weeks before surgery; CT scans were performed within 14 days prior to starting therapy. Surgery (R0 resection) was performed 6-8 weeks after treatment, and pCR was determined by the postoperative pathology report. This is an observational study; no treatments are assigned by protocol. The study was approved by the Ethics Committee of Nanjing Medical University, with informed consent waived due to the retrospective design.

What you commit to

• Study type: Observational
• Participants enrolled: 363
• From 1 Jan 2019 to the primary completion date, 1 Dec 2024
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

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Who cannot take part

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Who the study is looking for

Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

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