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Computed Tomography-based deep-learning to predict treatment response of concurrent chemoradiotherapy in locally advanced thoracic esophageal squamous cell carcinoma

Computed Tomography-based deep-learning to predict treatment response of concurrent chemoradiotherapy in locally advanced thoracic esophageal squamous cell carcinomaComputed Tomography-based deep-learning to predict treatment response of concurrent chemoradiotherapy in locally advanced thoracic esophageal squamous cell carcinoma

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000039279
Enrollment
Unknown
Registered
2020-10-22
Start date
2020-11-10
Completion date
Unknown
Last updated
2021-01-25

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

Conditions

Esophageal cancer

Interventions

Gold Standard:Clinical outcome
Index test:Computed&#32
Tomography-based&#32
deep-learning.

Sponsors

Shandong Cancer Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Patients aged 18-70 years old; 2. Patients with esophageal squamous cell carcinoma diagnosed by histopathology; 3. Patients with clinical stage II-IV were initially diagnosed; 4. Patients who underwent CT examination before and after treatment.

Exclusion criteria

Exclusion criteria: 1. The subject with incomplete image data has poor image quality; 2. The number of patients in the center is less than 10.

Design outcomes

Primary

MeasureTime frame
response;SEN, SPE, ACC, AUC of ROC;—

Countries

China

Contacts

Public ContactLi Baosheng

Shandong Cancer Hospital

bsli@sdfmu.edu.cn+86 17653115505

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 22, 2026