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Imaging-based Deep Learning for Lung Cancer Diagnosis and Staging

NCT04000620 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2021-11-16

No results posted yet for this study

Summary

Lung cancer diagnosis and staging are two fundamental and critical issue in clinical lung cancer management and therapeutic decision-making. Invasive procedures for pathologic analysis are gold standard for diagnosis and staging, however, invasive procedures related-complications are inevitable. Noninvasive medical imaging is a powerful tool, however there is almost no room for improvement just according to the experience of radiologist and clinician. The researchers will investigate the role of computer based deep learning of medical imaging in the diagnosis of lesion of lung, lymph node and other sites suspected with metastasis.

Conditions

Interventions

PROCEDURE

surgery

treatment intent surgery

PROCEDURE

punture

diagnostic punture

Sponsors & Collaborators

  • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-05-01
Primary Completion
2021-12-30
Completion
2024-05-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

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 NCT04000620 on ClinicalTrials.gov