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Research objective: To explore the clinical application effect of multi-omics detection based on flow cytometry analysis, single-cell data and images combined with clinical features in differentiating the benign and malignant nature of pulmonary nodules and the early diagnosis of lung cancer
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Research design: It is planned to collect pulmonary nodules confirmed by preoperative CT during the period from January 2021 to June 2020 The peripheral blood and clinical information of 100 patients who underwent surgical operations were classified according to the pathological diagnosis of the patients It is the malignant pulmonary nodule group and the benign pulmonary nodule group. Through single-cell sequencing, flow cytometry analysis and radiomics The purpose of identifying the benign and malignant nature of pulmonary nodules is: ① To predict the benign and malignant nature of pulmonary nodules before surgery; ② Explore evil the differences in the immune microenvironment between patients with sexual and benign pulmonary nodules, and the search for specific markers with clinical value Object ③ Compare the diagnostic sensitivity of the new prediction method with that of traditional tumor markers and explore its role as a predictor The potential for measuring the benign and malignant nature of pulmonary nodules
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Mi Liu; Jun Zhao
Data sourced from clinicaltrials.gov
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