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Preliminary Study on Eye Features of Patients With Malignant Tumors

Application of White Eye Imaging Health Care System on Diagnosis of Malignant Tumors

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04224298
Enrollment
1000
Registered
2020-01-13
Start date
2019-02-01
Completion date
2022-09-20
Last updated
2024-04-09

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

Conditions

Cancer Patients, Feature Elongation

Keywords

Eye, Manifestations, Cancer

Brief summary

Based on the theory of traditional Chinese Medicine, this study collects eye features of white eyes through the White Eye Imaging Health Care System under visible light and establishes a database of eye-eye features corresponding to the disease. The computer image analysis and artificial intelligence technology are used to visualize the eye. The features were extracted and classified, and the corresponding changes in the characteristics of the traditional Chinese medicine and the disease were analyzed statistically to establish an analytical model corresponding to the disease.

Detailed description

1. Collecting the white-eyed eye features of 500 patients with malignant tumors and 500 non-tumor patients by the white-eye shadowless imaging acquisition system under visible light, and establishing eye-catching images of malignant tumor patients and healthy people of different diseases. Feature database. 2. Based on the collected four-dimensional eye-eye diagram, using computer image analysis and artificial intelligence technology to extract and classify the eye-eye features of the white eye, and statistically analyze the correlation between the eye-eye features and the malignant tumor. The relationship between the characteristics of the white eye and the corresponding change of malignant tumor.

Interventions

None listed

Sponsors

Peking University Cancer Hospital & Institute
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

* Malignant tumor patients with clear pathological diagnosis; * Those who have no serious primary diseases of the cardiovascular, cerebrovascular, respiratory, endocrine, urinary, blood and other systems; * The main organs (hematopoiesis, heart, lung, liver, and kidney) have no obvious abnormal function; ④Age ≥18 years old, ≤75 years old; ⑤ No serious eye disease; * The patient volunteered to participate in this study.

Exclusion criteria

* Patients with severe blood loss (because when the bleeding exceeds 300ml, the white eye color of the patient is often pale white); * Poor patient compliance; ③ pregnant and lactating women; * Can't cooperate with inspection properly; ⑤ Cannot read or understand the scale.

Design outcomes

Primary

MeasureTime frameDescription
Model of white-eye ocular features in patients with malignant tumors2.5 yearsThe test will use Artificial Intelligence technology to analyze and learn the features of white-eye eyes of healthy people and patients with malignant tumors, and establish a model of eye characteristics of malignant tumors.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026