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Recruiting NCT05847894

Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology

Observational Pulmonary Diseases Ophthalmological Diagnostic Techniques Artificial Intelligence

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Ophthalmic examination, Pulmonary Examination.
Who it may be relevant to
Registry conditions: Pulmonary Diseases, Ophthalmological Diagnostic Techniques, Artificial Intelligence. Basic parameters: No limits · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
China
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Overview

This study intends to collect ophthalmologic examination results, pulmonary examination results and related indexes from patients with pulmonary disease and control populations, and combine big data analysis and artificial intelligence technology to explore whether new methods can be provided for early screening strategies for pulmonary disease with the aid of ophthalmologic examination, and thus assist in identifying the types of pulmonary disease and determining disease prognosis.

Interventions

  • Diagnostic test Ophthalmic examination
    Various ophthalmic examination modalities, including slit lamp photography, fundus photography, optical coherence tomography imaging and optical coherence tomography angiography, etc.
  • Diagnostic test Pulmonary Examination
    Various pulmonary examination modalities, including radiography, chest CT, pulmonary function measurement, etc.

Primary outcome measures

  • Area Under the Receiver Operating Characteristic curve [Time frame: Through study completion, an average of 1 year]

Eligibility criteria

Inclusion criteria

  • Those aged ≥18 years; or those aged <18 years who can cooperate with the relevant examination and are accompanied and informed by a guardian;
  • People with respiratory-related diseases who were to undergo pulmonary examination, or those who volunteered to participate in the trial through publicity recruitment;
  • expected survival time of 3 months or more;
  • Those with no previous serious underlying disease and no history of serious eye disease;
  • Those who can cooperate with ophthalmologic and pulmonary-related examinations and have regular follow-up examinations;
  • Those who gave informed consent to the study prior to the trial and voluntarily signed the informed consent form;
  • Other conditions that can be included in the study as judged by the investigator.

Exclusion criteria

  • Patients who are unable to complete ophthalmology or pulmonary-related examinations and regular follow-ups due to serious diseases, trauma or surgery (serious ophthalmology diseases such as extremely poor vision that cannot be fixed, ocular atrophy, severe refractive interstitial clouding that prevents fundus photography, etc.);
  • People with poor compliance due to various reasons such as alcohol or drug dependence, or mental disorders;
  • Those without informed consent;
  • Other conditions judged by the investigator to be unsuitable for participation in the trial.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Observational model
Cohort

Study locations

China · 4 centers
  • Zhongshan Ophthalmic Center, Sun Yat-sen University — Guangzhou
  • Guangzhou Kindness Health Care Center (Guangzhou Jiubang Shanxin Clinic Ltd) — Guangzhou
  • the First Affiliated Hospital of Guangzhou Medical University — Guangzhou
  • Shenzhen Third People's Hospital — Shenzhen

Identifiers

NCT: NCT05847894 · 2023KYPJ111

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗