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D-Lung: An Analytics Platform for Lung Cancer Based on Deep Learning Technology

The Chinese University of Hong Kong logo

The Chinese University of Hong Kong

Status

Completed

Conditions

Lung Cancer

Treatments

Radiation: computed tomography

Study type

Observational

Funder types

Other

Identifiers

NCT04036903
2019.306

Details and patient eligibility

About

Lung cancer is one of main cause of cancer death in worldwide, characterized of low 5-year survival rate of less than 20%. Pulmonary nodule is considered as the typical imaging manifestation in early stage of lung cancer. The National Lung Screen Trial has demonstrated that the mortality rates could decline greatly, by the utility of low-dose helical computed tomography for screen of pulmonary nodules. Thus, automatic detection, diagnosis and management of pulmonary nodules, play the vital roles in computer-aided lung cancer screening and early intervention.

Enrollment

130 patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Subjects with suspicious lung nodules.
  • Thin-layer thoracic CT and pathology examination have been performed for suspicious lung nodules.

Exclusion criteria

  • Subjects with accompanied lesions on CT images that may interfere to lung nodules analysis

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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