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NCT04036903
D-Lung: An Analytics Platform for Lung Cancer Based on Deep Learning Technology
trial testing computed tomography in Lung Cancer in 130 participants. Completed in 30 June 2020.
30 June 2020
Quick facts
| Lead sponsor | Chinese University of Hong Kong |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 130 |
| Start date | 1 July 2018 |
| Primary completion | 30 June 2020 |
| Estimated completion | 30 June 2020 |
| Sites | 1 location across Hong Kong |
Drugs / interventions tested
- computed tomography
Conditions studied
- Lung Cancer — all drugs for Lung Cancer →
Sponsor
Chinese University of Hong Kong
Who can join
Eligibility, any sex, with Lung Cancer. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT04036903
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT04036903 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Chinese University of Hong Kong
- Last refreshed: 8 February 2023
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04036903.
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