Beidahuang Industry Group General Hospital
Harbin, Heilongjiang, 150088, China
Location status: Recruiting
NCT Number: NCT06776588
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.
Interested in participating?
Request Info18 year–75 year
All sexes
Interventional
Not applicable
Harbin, Heilongjiang, 150088, China
Location status: Recruiting
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
CT thin-layer scanning 3D reconstruction is used, and AI and fragment omics technology are used to evaluate the risk of malignant transformation of pulmonary nodules. Microwave ablation of pulmonary nodules is combined with intraoperative rapid pathology technology to determine the nature of punctured tissue and the degree of ablation, and to explore the optimal ablation time and ablation power.
Time frame: up to 36 months
LCR is the rate of CR, PR plus SD
Time frame: up to 36 months
It estimates the recurrence-free rate of patients who have already survived, with no history of metastasis, a certain period of time.
Time frame: up to 36 months
Defined as the time from randomization to death from any cause.
Time frame: up to 36 months
The detection rate of early lung cancer was calculated
Time frame: up to 36 months
To explore the optimal ablation time
Time frame: up to 36 months
To explore the optimal power selection
Contact information is provided by the study sponsor or research team.
Beidahuang Industry Group General Hospital
Other
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07646847
Bladder Cancer, Breast Cancer
Basking Ridge, New Jersey, United States
View Trial DetailsNCT07740239
Brain Diseases, Brain Metastasis
Tampere, Finland
View Trial DetailsNCT06540196
Bronchial Neoplasms, Carcinoma, Bronchogenic
Hamilton, Ontario, Canada
View Trial DetailsNCT06410300
Lung Cancer, Lung Diseases
Columbia, Missouri, United States
View Trial Details