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Evaluation of Lung Nodule Detection With Artificial Intelligence Assisted Computed Tomography in North China

NCT03487952 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2018-04-04

No results posted yet for this study

Summary

Lung cancer is one of the leading cause of cancer related death in China. Lung cancer screening with low-dose computed tomography was considered as a better approach than radiography. However, the role of Lung cancer screening with Low-dose CT (LDCT) among Chinese people remains unclear. With rapid development of artificial intelligence (AI),the application of AI in detection and diagnosis of diseases has become research focus. Moreover, patients' psychological status also plays an important role in diagnosis and treatment.

This study focuses on detection and natural history management of lung nodule and lung cancer with AI assisted chest CT among people living in North China, and aims to investigate epidemiological results, patients' medical records and social psychological status.

Conditions

  • Multiple Pulmonary Nodules
  • Solitary Pulmonary Nodule

Interventions

OTHER

Questionnaire Administration

Subjects will be asked to complete an additional detailed questionnaire regarding personal information, smoking history, medical history, their diet and lifestyle habits, family history of malignant neoplasm, any past or current environmental exposures and psychological status.

Sponsors & Collaborators

  • Lu'an Municipal Hospital

    collaborator OTHER

  • North China Petroleum Bureau General Hospital

    collaborator OTHER

  • Peking University People's Hospital

    lead OTHER

Principal Investigators

  • Jun J Wang, MM · Peking University People's Hospital

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-04-30
Primary Completion
2021-12-31
Completion
2021-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03487952 on ClinicalTrials.gov