About this trial
Some studies have shown that the model for judging and predicting the growth of sub-solid pulmonary nodules through big data and deep learning can detect nodule growth earlier. Since most of the training data come from large foreign samples, most of the validated data are CT data from a single center or a few centers, and their generalization ability needs to be further verified. In order to better study subsolid pulmonary nodules in the lungs in China, we plan to conduct a prospective, multicenter, non-interventional observational cohort study.
Eligibility criteria
Qualifiers
Age≥ 18 years old, gender is not limited
Confirmed subsolid pulmonary nodule by CT, initial pulmonary nodule ≥ 5 mm (including subsolid components) and ≤ 30 mm, do not shrink or disappear after 3 months Follow-up.
ECOG 0~2
Able to provide CT in DICOM format
Disqualifiers
Long-term use of immunosuppressants and hormone drugs
History of previous malignancy (if there is no recurrence or carcinoma in situ for more than 5 years after receiving curative therapy, it can be enrolled)
Inability to cooperate with regular follow-up
Poor general condition, with the life expectancy less than 6 months
Trial design
Treatments tested in this trial
- Not listed
Trial groups
Sponsors and collaborators
Guangdong Provincial People's Hospital
Lead sponsor
Third Affiliated Hospital, Sun Yat-Sen University
Collaborator
Fifth Affiliated Hospital, Sun Yat-Sen University
Collaborator
Peking University People's Hospital
Collaborator
Guangxi Medical University
Collaborator
Shanghai Zhongshan Hospital
Collaborator
The Third Xiangya Hospital of Central South University
Collaborator
Affiliated Cancer Hospital & Institute of Guangzhou Medical University
Collaborator
The Third People's Hospital of Chengdu
Collaborator
Shantou Central Hospital
Collaborator
Hainan Cancer Hospital
Collaborator
Shenzhen People's Hospital
Collaborator
Hunan Cancer Hospital
Collaborator
Shenzhen Third People's Hospital
Collaborator
First Affiliated Hospital of Jinan University
Collaborator
Haikou People's Hospital
Collaborator
Second Affiliated Hospital of Guangzhou Medical University
Collaborator