Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma

Esophageal squamous cell carcinoma is one of the most common malignant tumor of upper digestive tract. However, the detection rate and diagnosis accuracy of early esophageal squamous cell cancer is low. The aim of this study is to develop a computer-assisted diagnosis tool combining with optical magnifying endoscopy for early detection and accurate diagnosis of it.

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Key information

Conditions

Artificial Intelligence Magnifying Endoscopy Optical Enhancement Endoscopy

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Department of Gastroenterology, Qilu Hospital, Shandong University

Jinan, Shandong, 250012, China

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

high risk patients for esophageal cancer aged 18 years or older;
Histologically verified early esophageal squamous cell cancer.

Exclusion criteria

patients whose images of esophagus not suitable for the training, validation and testing the computer-assist diagnosis tool.

Treatment and study plan

AI presentation

Other

AI presentation means the automatic diagnosis information of AI and AI presentation means it is visible in the group.

no AI presentation

Other

AI presentation means the automatic diagnosis information of AI and no AI presentation means it is invisible in the group.

Primary outcomes

the diagnosis efficiency of the AI model

Time frame: 12 months

the sensitivity, specificity and accuracy of the AI model

Sponsors and collaborators

Lead sponsor

Shandong University

Other

Registry information

Official study title

Application of Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma During Optical Enhancement Magnifying Endoscopy

Important dates

Study start: 2018
Primary completion: 2020
Study completion: 2020
First posted: Nov 30, 2018
Registry last updated: Apr 28, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed