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NCT05736991

Deep Learning Signature for Predicting the Novel Grading System of Clinical Stage I Lung Adenocarcinoma

Status unknown Last updated 21 February 2023
What this trial tests

trial testing PET/CT-based Radiomics Signature in Lung Adenocarcinoma in 600 participants. Status unknown.

Timeline
1 November 2022
Primary endpoint
30 April 2023
30 April 2023

Quick facts

Lead sponsorShanghai Pulmonary Hospital, Shanghai, China
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment600
Start date1 November 2022
Primary completion30 April 2023
Estimated completion30 April 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 Lung Adenocarcinoma or Radiomics. 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 the grade 3 tumors based on the novel grading system in clinical stage stage I lung adenocarcinoma based on a multicenter prospective cohort.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Lung Adenocarcinoma

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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