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| Name | Class |
|---|---|
| Third Affiliated Hospital, Sun Yat-Sen University | OTHER |
| Fifth Affiliated Hospital, Sun Yat-Sen University | OTHER |
| Peking University People's Hospital | OTHER |
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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.
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| Measure | Description | Time Frame |
|---|---|---|
| 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. | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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 | The time from patient enrollment and initiation of follow-up until invasive diagnosis/intervention |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with subsolid pulmonary nodules of 5 to 30 mm in size found on CT
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Xuening Yang, MD | Contact | 0086-13922713300 | yangxncn@qq.com |
| Name | Affiliation | Role |
|---|---|---|
| Xuening Yang, MD | Guangdong Provincial People's Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Guangdong Provincial People's Hospital | Guangzhou | Guangdong | 510080 | China |
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| ID | Term |
|---|---|
| D003074 | Solitary Pulmonary Nodule |
| D055613 | Multiple Pulmonary Nodules |
| ID | Term |
|---|---|
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D008175 | Lung Neoplasms |
| D012142 | Respiratory Tract Neoplasms |
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| Guangxi Medical University |
| OTHER |
| Shanghai Zhongshan Hospital | OTHER |
| The Third Xiangya Hospital of Central South University | OTHER |
| Affiliated Cancer Hospital & Institute of Guangzhou Medical University | OTHER |
| The Third People's Hospital of Chengdu | OTHER |
| Shantou Central Hospital | OTHER |
| Hainan Cancer Hospital | OTHER |
| Shenzhen People's Hospital | OTHER |
| Hunan Cancer Hospital | OTHER |
| Shenzhen Third People's Hospital | OTHER |
| First Affiliated Hospital of Jinan University | OTHER |
| Haikou People's Hospital | OTHER |
| Second Affiliated Hospital of Guangzhou Medical University | OTHER |
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| 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 | 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 | 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 | From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up |
| D013899 |
| Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |