A Prospective, Non-interventional Cohort Study of Subsolid Pulmonary Nodules

November 27, 2024 updated by: Xue-Ning Yang, Guangdong Provincial People's Hospital

Prediction of Growth Trend of Pulmonary Nodules Based on Multi-temporal and Multimodal Medical Data and Its Impact on Pulmonary Nodule Management Strategies

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.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

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 (Estimated)

1184

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Xuening Yang, MD
  • Phone Number: 0086-13922713300
  • Email: yangxncn@qq.com

Study Locations

    • Guangdong
      • Guangzhou, Guangdong, China, 510080
        • Guangdong Provincial People's Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients with subsolid pulmonary nodules of 5 to 30 mm in size found on CT

Description

Inclusion Criteria:

  • 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
  • Informed consent obtained

Exclusion Criteria:

  • 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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
5-year growth rate of subsolid pulmonary nodules
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
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

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Median time from enrollment to invasive diagnosis/intervention in patients with subsolid pulmonary nodules
Time Frame: The time from patient enrollment and initiation of follow-up until invasive diagnosis/intervention
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
Lung cancer-specific 5-year survival rate
Time Frame: From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up
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
Time Frame: From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up
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
Time Frame: From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up
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

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Explore the radiographic features of subsolid pulmonary nodules in long-term follow-up
Time Frame: From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up
The study will assess the correlation between these changes and the patient's clinical outcomes, as well as possible biomarkers
From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up
explore the biomarkers associated with the development of subsolid pulmonary nodules
Time Frame: From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up
We will analyze blood and tissue samples from patients to identify molecular markers that may be associated with the progression of nodules
From the time the patient is enrolled, and follow-up is initiated, up to 5 years of follow-up

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Xuening Yang, MD, Guangdong Provincial People's Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

December 1, 2024

Primary Completion (Estimated)

November 30, 2030

Study Completion (Estimated)

November 30, 2030

Study Registration Dates

First Submitted

June 9, 2024

First Submitted That Met QC Criteria

June 9, 2024

First Posted (Actual)

June 13, 2024

Study Record Updates

Last Update Posted (Estimated)

December 2, 2024

Last Update Submitted That Met QC Criteria

November 27, 2024

Last Verified

November 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • CONAN

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Multiple Pulmonary Nodules

Search Similar Trials