west china medical publishers
Keyword
  • Title
  • Author
  • Keyword
  • Abstract
Advance search
Advance search

Search

find Keyword "Lung tumor" 4 results
  • A Clinical Analysis Carina Resection and Reconstruction in Locally Advanced Nonsmall Cell Lung Cancer

    Objective To investigate the indication of carina reconstruction surgery for locally advanced non-small cell lung cancer through analyzing the clinicopathological characteristics and prognosis of these patients.Methods Fifteen patients were involved in this retrospective analysis. One patient underwent carina resection and reconstruction, 6 patients underwent right pneumonectomy plus carina resection and reconstruction, 3 patients underwent right upper lobe and carina resection plus carina reconstruction, and 5 patients underwent left pneumonectomy plus carina resection and carina reconstruction. Kaplan-Meier method was used to calculate the survival rate, and Logrank test was used to compare the survival difference between groups. Results The mean duration time for operation was 410 min(261.3±81.6min). The number of resected mediastinal lymph nodes was 10.8±3.7. No perioperative death occurred. Two patients complicated with pneumonitis after surgery, both of them recovered through machine supported respiratory combined with antibiotics administering; 1 patient complicated with chylothorax and recovered through noninvasive procedure; 1 patient underwent thoracotomy exploration due to the persistant air leak and cured by suturing the air leaking lung tissue.The median survival time for whole group was 39 months, 3-year and 5-year survival rate were 52.5%,22.5%, respectively. The median survival time for the patients underwent right pneumonectomy was 12 months, compared 40 months with that of other patients. Conclusion Carina reconstruction is necessary for some patients with locally advanced nonsmall cell lung cancer with main bronchus or carina invasion, despite the sophisticated operation procedure and high morbidity rate. While the right pneumonectomy plus carinal reconstruction should be avoided due to the poor prognosis.

    Release date:2016-08-30 06:04 Export PDF Favorites Scan
  • Predictive value of radiological features on spread through air spaces in stage cⅠA lung adenocarcinoma with predominant ground-glass opacity

    ObjectiveTo investigate the predictive value of preoperative radiological features on spread through air spaces (STAS) in stage cⅠA lung adenocarcinoma with predominant ground-glass opacity, and to provide a basis for the selection of surgical methods for these patients.MethodsThe clinical data of 768 patients with stage cⅠA lung adenocarcinoma undergoing operation in our hospital from 2017 to 2018 were reviewed, and 333 early stage lung adenocarcinoma patients with predominant ground-glass opacity were selected. There were 92 males and 241 females, with an average age of 57.0±10.0 years. Statistical analysis was performed using SPSS 22.0.ResultsSTAS-positive patients were mostly invasive adenocarcinoma (P=0.037), and had more micropapillary component (P<0.001) and more epidermal growth factor receptor (EGFR) gene mutations (P=0.020). There were no statistically significant differences between the STAS-positive and STAS-negative patients in other clinicopathological features. Univariate analysis showed that the maximum diameter of tumor in lung window (P=0.029), roundness (P=0.035), maximum diameter of solid tumor component in lung window (P<0.001), consolidation/tumor ratio (CTR, P<0.001), maximum area of the tumor in mediastinum window (P=0.001), tumor disappearance ratio (TDR, P<0.001), average CT value (P=0.001) and lobulation sign (P=0.038) were risk factors for STAS positive. Multivariate logistic regression analysis showed that the CTR was an independent predictor of STAS (OR=1.05, 95%CI 1.02 to 1.07, P<0.001), and the area under the receiver operating characteristic (ROC) curve was 0.71 (95%CI 0.58 to 0.85, P=0.002). When the cutoff value was 19%, the sensitivity of predicting STAS was 66.7%, and the specificity was 75.2%.ConclusionCTR is a good radiological feature to predict the occurrence of STAS in early lung adenocarcinoma with predominant ground-glass opacity. For the stagecⅠA lung adenocarcinoma with predominant ground-glass opacity and CTR ≥19%, the possibility of STAS positive is greater, and sublobar resection needs to be carefully considered.

    Release date:2021-02-22 05:33 Export PDF Favorites Scan
  • Synchronous biopsy followed by radiofrequency ablation in lung tumors: A clinical analysis of a single center

    ObjectiveTo explore the application value of synchronous CT-guided percutaneous biopsy followed by radiofrequency ablation in the diagnosis and treatment of lung tumors. MethodsThe clinical data of 21 patients with lung tumors were retrospectively analyzed. There were 8 males and 13 females aged 68 (51, 73) years. A total of 24 lesions underwent CT-guided percutaneous biopsy and concurrent radiofrequency ablation. The effectiveness and safety of this protocol were analyzed. ResultsAll 21 patients successfully completed the procedures. The diameter of 24 lesions was 17.0 (13.3, 19.0) mm. Biopsy specimens met the requirements of pathological diagnosis, and the effectiveness of specimens was 100.0%. The incidence of small amount of pneumothorax/pleural shrinkage after procedures was 19.0% (4/21) and the incidence of tension pneumothorax was 4.7% (1/21). There was no obvious bleeding or other complications.ConclusionSynchronous CT-guided percutaneous biopsy followed by radiofrequency ablation combines two interventional techniques, which is safe and effective in the diagnosis and treatment of lung tumors, and it is worthy of popularization and application in clinic.

    Release date: Export PDF Favorites Scan
  • Research progress of auxiliary diagnosis classification algorithm for lung tumor imaging

    The classification of lung tumor with the help of computer-aided diagnosis system is very important for the early diagnosis and treatment of malignant lung tumors. At present, the main research direction of lung tumor classification is the model fusion technology based on deep learning, which classifies the multiple fusion data of lung tumor with the help of radiomics. This paper summarizes the commonly used research algorithms for lung tumor classification, introduces concepts and technologies of machine learning, radiomics, deep learning and multiple data fusion, points out the existing problems and difficulties in the field of lung tumor classification, and looks forward to the development prospect and future research direction of lung tumor classification.

    Release date: Export PDF Favorites Scan
1 pages Previous 1 Next

Format

Content