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NCT05425134

Deep Learning Signature for Predicting Occult Nodal Metastasis of Clinical N0 Lung Cancer

Status unknown Last updated 9 February 2023
What this trial tests

trial testing PET/CT-based Deep Learning Signature in Non-small Cell Lung Cancer in 5,000 participants. Status unknown.

Timeline
1 January 2022
Primary endpoint
31 December 2023
31 December 2023

Quick facts

Lead sponsorShanghai Pulmonary Hospital, Shanghai, China
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment5,000
Start date1 January 2022
Primary completion31 December 2023
Estimated completion31 December 2023
Sites4 locations across China

Drugs / interventions tested

Conditions studied

Sponsor

Shanghai Pulmonary Hospital, Shanghai, China

Who can join

Adults 20 to 75, any sex, with Non-small Cell Lung Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The purpose of this study is to evaluate the performance of a PET/CT-based deep learning signature for predicting occult nodal metastasis of clinical stage N0 non-small cell lung cancer in a multicenter prospective cohort.

Publications & conference data

2 peer-reviewed publications reference this trial (live from Europe PMC):

  1. PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer.
    Zhong Y, Cai C, Chen T, Gui H, et al · · 2023 · cited 39× · PMID 37980411 · DOI 10.1038/s41467-023-42811-4
  2. Targeted Lung Premetastasis Niche: Mechanisms, Strategies, and Application.
    Cao C, Lu D, Li H, Pan S, et al · · 2025 · cited 2× · PMID 40470380 · DOI 10.1002/mco2.70248

Verify or expand the search:

Other trials of PET/CT-based Deep Learning Signature

Trials testing the same drug.

Other recruiting trials for Non-small Cell Lung Cancer

Currently open trials in the same condition.

Other Shanghai Pulmonary Hospital, Shanghai, China trials

Trials by the same sponsor.

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Data sources for this page

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