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Spots Global Cancer Trial Database for Deep Learning Model for Pure Solid Nodules Classification

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We do not endorse or review these studies in any way.

Trial Identification

Brief Title: Deep Learning Model for Pure Solid Nodules Classification

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

Study ID: NCT05542992

Conditions

Lung Cancer

Study Description

Brief Summary: The purpose of this study is to compare the predictive performance of a CT-based deep learning model for pure-solid nodules classification and compared with the tumor maximum standardized uptake value on PET in a multicenter prospective cohort.

Detailed Description:

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Shanghai Pulmonary Hospital, Yangpu, Shanghai, China

Lanzhou, China, Gansu, , China

Zunyi, China, Guizhou, , China

Nanchang, China, Jiangxi, , China

Ningbo, China, Zhejiang, , China

Contact Details

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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