Development of risk prediction models for lung cancer based on tumor markers and radiological signs

Background: Accurate prediction of malignancy risk for pulmonary lesions with pleural effusion improves early diagnosis of lung cancer. This study aimed to develop and validate a model to predict lung cancer. Methods: Clinical data of 536 patients with pulmonary diseases were collected. The risk fac...

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Bibliographic Details
Main Authors:	Bi, X. (Author), Chen, T. (Author), Lu, Y. (Author), Tu, Y. (Author), Wu, Y. (Author)
Format:	Article
Language:	English
Published:	John Wiley and Sons Inc 2021
Subjects:	adenocarcinoma adult Adult aged Aged alpha fetoprotein antigen CYFRA21.1 Antigens, Neoplasm area under the curve Article biological model Biomarkers, Tumor blood bootstrapping CA 19-9 antigen calibration Calibration cancer diagnosis cancer patient cancer risk carcinoembryonic antigen Carcinoembryonic Antigen cohort analysis controlled study cytokeratin 19 cytokeratin 19 fragment diagnostic imaging female Female ferritin human human tissue Humans Keratin-19 lung biopsy lung cancer lung disease Lung Neoplasms lung tumor major clinical study male Male middle aged Middle Aged Models, Biological pathology pleura effusion pleura fluid pleural effusion Pleural Effusion prediction radiology reproducibility Reproducibility of Results risk assessment risk factor squamous cell carcinoma tumor antigen tumor marker tumor markers tumor volume
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View Fulltext in Publisher

Development of risk prediction models for lung cancer based on tumor markers and radiological signs

Internet

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