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find Author "SHEN Qin" 2 results
  • Prediction of gene mutation in lung cancer based on deep learning and histomorphology analysis

    Lung cancer is a most common malignant tumor of the lung and is the cancer with the highest morbidity and mortality worldwide. For patients with advanced non-small cell lung cancer who have undergone epidermal growth factor receptor (EGFR) gene mutations, targeted drugs can be used for targeted therapy. There are many methods for detecting EGFR gene mutations, but each method has its own advantages and disadvantages. This study aims to predict the risk of EGFR gene mutation by exploring the association between the histological features of the whole slides pathology of non-small cell lung cancer hematoxylin-eosin (HE) staining and the patient's EGFR mutant gene. The experimental results show that the area under the curve (AUC) of the EGFR gene mutation risk prediction model proposed in this paper reached 72.4% on the test set, and the accuracy rate was 70.8%, which reveals the close relationship between histomorphological features and EGFR gene mutations in the whole slides pathological images of non-small cell lung cancer. In this paper, the molecular phenotypes were analyzed from the scale of the whole slides pathological images, and the combination of pathology and molecular omics was used to establish the EGFR gene mutation risk prediction model, revealing the correlation between the whole slides pathological images and EGFR gene mutation risk. It could provide a promising research direction for this field.

    Release date:2020-04-18 10:01 Export PDF Favorites Scan
  • Investigation of Cognition Degree and Clinical Use of 2011 GOLD New COPD Classification System in Respiratory Specialist from Chongqing

    Objective To investigate the cognition degree and clinical use of new COPD classification system of 2011 GOLD in respiratory specialists, and further analyze the reasons of failing to clinical use. Methods Respiratory specialists from 42 hospitals in Chongqing were investigated through questionnaire survey. The questionnaire contains two parts. The first part contains nine questions about the knowledge of 2011 GOLD new COPD classification system and its clinical use. The second part contains six questions about the reasons of failing to clinical use of the COPD classification system. Results A total of 204 valid questionnaires were recovered. More than 90% respiratory specialists had understood the new COPD classification system with different degree, and believed it is suitable for clinical use. More than twothirds respiratory specialists knew well the ways about CAT and mMRC, but only 24% specialists were using these ways. The main reasons of failing to clinical use were as follows: 60% specialists believed the pulmonary function test can evaluate the COPD classification, and 66. 7% specialists were limited by short visit time. The cognition degree and clinical use of the new COPD classification systemin the specialists from third grade A class hospitals was better than those from the other hospitals. But the difference was not significant among specialists with different professional title.Conclusion Respiratory specialists in Chongqing knew well about the new COPD classification systemin 2011 GOLD, but did not use it widely in clinical works due to the complicated operation of the new COPD classification system.

    Release date:2016-09-13 03:53 Export PDF Favorites Scan
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