Status
Conditions
Treatments
About
This study is a multicenter study. It plans to screen 200 patients with pulmonary nodule lesions with ground glass as the main body, take CT thin-layer scanning 3D reconstruction, apply AI and fragment omics technology to evaluate the risk of malignant transformation of pulmonary nodules, and use microwave ablation to treat pulmonary nodules and combine intraoperative rapid pathology technology to determine the nature of puncture tissue and the degree of ablation, and then explore the optimal ablation time and ablation power.
Full description
Combining AI and fragmentomics technology, this study enrolled 200 patients with ground-glass lung cancer for comprehensive evaluation. By collecting detailed characteristic data of ground-glass lung cancer, including nodule diameter, average CT value, solid component ratio (CTR), nodule morphology and other related signs, CT imaging and AI technology, and fragmentomics technology were used for comprehensive analysis to form a set of joint strategies to efficiently screen and diagnose patients with early lung cancer.
Microwave ablation is used to treat lung nodules, and intraoperative rapid pathology technology is used to determine the nature of the punctured tissue and the degree of ablation (observing pathological changes in the lesion area, including cancer cell death and fibrosis of the lesion tissue), determine whether the lesion has been completely ablated, or whether there are residual active cancer cells, and then explore the optimal ablation time and ablation power.
Finally, long-term follow-up of patients after microwave ablation, including collection of intraoperative/postoperative complication data, regular CT review, evaluation of treatment effect, monitoring for recurrence, and improving individualized treatment plans for patients.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
Primary purpose
Allocation
Interventional model
Masking
200 participants in 1 patient group
Loading...
Central trial contact
Mingyang Liu
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal