Skip to main content
OpenTrials
Completed

NCT Number: NCT04793672

Establishment of Tongue Image Database and Machine Learning Model for Malignant Tumors Diagnosis

The tongue images of malignant tumors and corresponding healthy people will be collected to establish the tongue image database. Deep learning will be carried out by computer and artificial intelligence to construct the early screening, diagnosis, prognosis and prognosis model of various malignant tumors based on tongue image for the diagnosis and treatment of malignant tumors.

Completed

Looking for future studies?

Notify Me

Key information

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China

Loading trial locations.

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

  • 18≤age≤80
  • Histologically or cytologically confirmed malignant tumor
  • No prior chemotherapy, radiotherapy, biotherapy, immunotherapy or other anti-tumor treatment for malignant tumor
  • Subject volunteers to join the study, Signs informed consent, has good compliance and can cooperate with follow-up

Exclusion criteria

  • Two or more kinds of malignant tumors at the same time
  • Malignant tumor that has been treated by chemotherapy, radiotherapy, biotherapy, immunotherapy or other anti-tumor therapy
  • Subjects who had other factors that might force them to terminate the research ahead of time, such as the development of other severe disease (including mental disease) that required combined treatment, seriously abnormal laboratory examination value, and family or social factors that might affect the subject safety or experimental data collection, as judged by the researchers

Treatment and study plan

Tongue images, coating on the tongue and clinical data of patients with malignant tumors and healthy people will be collected.

Other

Tongue images, coating on the tongue and clinical data of patients with malignant tumors and healthy people will be collected.

Primary outcomes

  1. The differences of tongue images between patients with malignant tumors and healthy people.

    Time frame: 1 year

  2. Overall Survival (OS)

    Time frame: 3 years

Secondary outcomes

  1. Disease free survival(DFS)

    Time frame: 1 year

Sponsors and collaborators

Lead sponsor

Zhejiang Cancer Hospital

Other

Collaborators

  • Fenghua District People's Hospital, Ningbo City
  • Fujian Cancer Hospital
  • Hainan Cancer Hospital
  • Harbin Cancer Hospital
  • Henan University of Science and Technology
  • Kecheng District People's Hospital
  • Liaoning Cancer Hospital & Institute
  • RenJi Hospital
  • Shandong Cancer Hospital and Institute
  • Shangyu People's Hospital of Shaoxing City
  • Shanxi Province Cancer Hospital
  • Sichuan Cancer Hospital and Research Institute
  • The First Affiliated Hospital of Soochow University
  • The First People's Hospital of Changzhou
  • Wenzhou Medical University
  • Xianju People's Hospital
  • Yueyang Central Hospital
  • Yuhang District People's Hospital
  • Zhejiang Hospital of TCM
  • Zhejiang Provincial Tongde Hospital
  • Zhoushan Hospital, Zhejiang
  • Zigong Fourth People's Hospital

Registry information

Official study title

A Multi-center Observational Clinical Study Observing the Differences of Tongue Images Between Patients With Malignant Tumors and Healthy People

Important dates

Study start
2020
Primary completion
2024
Study completion
2024
First posted
Mar 11, 2021
Registry last updated
Jun 25, 2026

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.