ArticleAmerican journal of translational research2024
Value of CT diagnostic techniques based on imaging post-processing systems in the early diagnosis and treatment of lung cancer.
Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Preoperative evaluation of solitary pulmonary nodules and adenocarcinoma invasiveness using ultra-high-resolution computed tomography and multidimensional liquid biopsy: a prospective exploratory study.Frontiers in oncology · 2026Article
- Methodological Development of a Test for Salivary Proteome Analysis Useful in Lung Cancer Screening.International journal of molecular sciences · 2025Article
- Predictive model of malignancy probability in pulmonary nodules based on multicenter data.Frontiers in oncology · 2025Article
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Abstract
objectiveTo evaluate the application value of CT diagnostic technology based on the Shukun Imaging Post-Processing System for early screening and diagnosis of lung cancer.
methodsA total of 35 patients diagnosed with lung cancer postoperatively and 53 patients with benign nodules were included in this retrospective study, all of whom were treated in the Department of Thoracic and Cardiovascular Surgery of the Second Affiliated Hospital of Fujian Medical University from January 2020 to December 2023. All patients underwent chest spiral CT examinations. Original thin-slice axial CT images were processed using Shukun software for three-dimensional reconstruction of the lesions, surrounding lung tissue, and trachea. The diagnoses and malignant risk indicators of pulmonary nodules were established based on the final imaging results.
resultsStatistical analysis showed that the sensitivity of Shukun processing technology in diagnosing early-stage lung cancer was 82.86%, with a specificity of 88.46%, when compared to postoperative pathological analysis. Univariate logistic regression analysis indicated that features such as burr sign, lobulation sign, pleural traction sign, vascular convergence sign, vacuole sign, and nodule size derived from Shukun processing had significant predictive value for malignant nodules (P<0.05).
conclusionShukun processing technology can effectively reconstruct ordinary CT tomographic images into three-dimensional representations, enhancing the visualization of spatial relationships between the tumor and adjacent anatomical structures, including trachea, pleura, bronchi, and blood vessels. It has high clinical diagnostic value for the early diagnosis of malignant pulmonary nodules.
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