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.
Through the follow-up of pulmonary nodules, artificial intelligence based on CT was used to study the natural evolution process of subsolid pulmonary nodules, as well as the development law and prognosis of pulmonary subsolid nodules under treatment or no treatment according to clinical guidelines.
Study Type
OBSERVATIONAL
Enrollment
1,184
Guangdong Provincial People's Hospital
Guangzhou, Guangdong, China
5-year growth rate of subsolid pulmonary nodules
The 5-year growth rate of the nodules is calculated by comparing the initial and final diameters of the nodules during the follow-up period.Results are expressed as percentages.
Time frame: Regular follow-up was carried out according to clinical guidelines and local hospital guidelines, with an interval of 3-6 months and a duration of 5 years
Median time from enrollment to invasive diagnosis/intervention in patients with subsolid pulmonary nodules
Median length of time from patient enrollment to invasive diagnosis or therapeutic intervention such as surgical excision, biopsy, or other therapeutic procedures
Time frame: The time from patient enrollment and initiation of follow-up until invasive diagnosis/intervention
Lung cancer-specific 5-year survival rate
Lung cancer-specific 5-year survival rate is defined as a proportion of patients diagnosed with lung cancer who survive within 5 years of diagnosis
Time frame: From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up
explore the growth rate and pattern of radiographic changes of different types of pulmonary nodules
the growth rate is calculated by comparing the initial and final diameters of the nodules during the follow-up period. Results are expressed as 1mm/year
Time frame: From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up
Sensitivity and specificity of radiomics in predicting the growth of subsolid pulmonary nodules
the sensitivity and specificity is calculated by comparing the predicted results and the real results
Time frame: From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up
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