Unknown OBSERVATIONAL NCT05542992

Deep Learning Model for Pure Solid Nodules Classification

Deep Learning Model Supplementary PET-CT as a More Effectively Diagnostic Method for Pure Solid Nodules Classification: a Multicenter Observational Study

Sponsor: Chang Chen

Conditions Lung Cancer

Interventions CT-based deep learning model

Updated 5 times since 2022 Last updated: Sep 14, 2022 Started: Jan 1, 2022 Primary completion: Dec 31, 2023 Completion: Dec 31, 2023

This information is for research purposes only and is not medical advice. Consult a healthcare provider before making any medical decision.

This observational or N/A phase trial investigates Lung Cancer and is currently ongoing. Chang Chen leads this study, which shows 5 recorded versions since 2022 — indicating limited longitudinal coverage. As an oncology study, it adds to the longitudinal record of treatment development for this indication.

Status Flow

Change History

5 versions recorded

Oct 2024 — Present [monthly]

Unknown

Status: Recruiting → Unknown
Sep 2024 — Oct 2024 [monthly]

Recruiting
Jul 2024 — Sep 2024 [monthly]

Recruiting
Nov 2023 — Jul 2024 [monthly]

Recruiting
Sep 2022 — Nov 2023 [monthly]

Recruiting

First recorded

Jan 2022

Trial started

Per CT.gov start date — pre-dates our first snapshot

Eligibility Summary

No eligibility information available.

Contact Information

Sponsor contact:

Chang Chen
Ningbo No.2 Hospital
The First Affiliated Hospital of Nanchang University
The First Hospital of Lanzhou University, Gansu, China
Zunyi Medical College

Data source: Shanghai Pulmonary Hospital, Shanghai, China

For direct contact, visit the study record on ClinicalTrials.gov .

Deep Learning Model for Pure Solid Nodules Classification

Status Flow

Change History

Eligibility Summary

Contact Information

Study Locations

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