About: Predicting Lung Cancer Risk of Incidental Solid and Subsolid Pulmonary Nodules in Different Sizes

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scientific article published on 04 September 2020

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description	wetenschappelijk artikel (nl) artículu científicu espublizáu en setiembre de 2020 (ast) scientific article published on 04 September 2020 (en) наукова стаття, опублікована 4 вересня 2020 (uk)
publication date	wds:Q99565267-C43581A0-E27C-406F-80F8-724F480AFEC9
publication date	2020-09-04 00:00:00Z (xsd:dateTime)
cites work	wds:Q99565267-13408F92-A925-4A30-A88F-EC045D65B999 wds:Q99565267-3632589D-BFF9-4995-8759-8413AA918F78 wds:Q99565267-3EE05BA3-5F52-4239-8647-44DBB4F53DEF wds:Q99565267-404A53BB-164D-47BD-AA7D-EC8DECB7A316 wds:Q99565267-41BC8F43-CAF6-4BD9-A6F8-1CAD05C9D09E wds:Q99565267-48F1B5D1-AE29-4527-A693-3CBD050234A8 wds:Q99565267-4C4DBA7B-B63E-47B3-A12E-B8F60DACEDCC wds:Q99565267-527EE34A-40B2-4455-BF08-513F62AE7B0D wds:Q99565267-5776501F-167F-456E-8B6E-7A91558AA398 wds:Q99565267-58F400A7-44AF-4CEE-90B9-198085232686 wds:Q99565267-5C26D030-7734-4714-8A1D-BC94A5B875FD wds:Q99565267-62398680-4F6B-43D4-B762-279111D3BB17 wds:Q99565267-7A5FBA7D-9ED5-4D12-BB82-A4D35E72D502 wds:Q99565267-94763B30-27C8-4F21-A370-003FE9F5C5E8 wds:Q99565267-98DC87FE-9B45-4A68-BE25-FC5F6D2DA32C wds:Q99565267-9A866DA1-DD6F-449A-82C3-40BE9E823119 wds:Q99565267-A0584837-7D0A-47DA-BAEA-8AF7CEB0BF4F wds:Q99565267-AA7DD1FA-E7B6-4D8C-8F7E-166FB8E29BB9 wds:Q99565267-ABD00750-DD70-498A-B1BA-061B1F3927AE wds:Q99565267-ABFDC7BB-4D1C-4FAE-AF4F-03197C879DCB wds:Q99565267-ACACE1EB-4F1C-49BD-9812-D0DBE9F1E029 wds:Q99565267-B3C89A5E-D906-4039-AC24-7A4E831C95FE wds:Q99565267-B69ADEC6-74A2-4FAB-BC86-980BA419857B wds:Q99565267-BF47637D-CC59-4CF6-88B0-00657B237EDD wds:Q99565267-CA6A3156-3020-4C9C-B69C-B8A489C69B76 wds:Q99565267-CCD5E60E-326B-4FE6-BF65-113F89B17BDF wds:Q99565267-CD8CF38F-A865-4436-B999-826580B42F9C wds:Q99565267-D538BD44-BF5E-4BC1-99FD-B31B130906E1 wds:Q99565267-D86F6B41-96F9-46D6-A2EE-EA36DF835622 wds:Q99565267-DBC0D67A-94C1-46A3-A17E-FB0A43C73CF9 wds:Q99565267-DD102E03-F16A-423A-A79C-D46801557FB2 wds:Q99565267-EA41781A-8270-41A7-8221-B273EF4C067D wds:Q99565267-EAA5501B-A99F-4712-8899-7B955EDA871E wds:Q99565267-EE45741D-65E0-4DAF-BBBF-3F206F4C15C2 wds:Q99565267-F4BADD33-BEFD-4EF3-94B4-82765B0FE870 wds:Q99565267-F5F3B7A4-3574-4533-B9CA-09BBE9D757EC wds:Q99565267-FA49C941-EB75-4D7F-BB92-B3673D407540 wds:Q99565267-FCA9D671-3AD0-4850-9D12-9B2FB64A265D wds:Q99565267-FCEC3741-EAD0-4ED6-A053-F6A6BF9CA4D9 wds:Q99565267-FD50DAA7-67FF-45F0-8F73-4EEF9A8AA5D6
cites work	Clinical prediction model to characterize pulmonary nodules: validation and added value of 18F-fluorodeoxyglucose positron emission tomography CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules. Probability of cancer in pulmonary nodules detected on first screening CT. Predicting lung cancer prior to surgical resection in patients with lung nodules The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules. International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma Reduced lung-cancer mortality with low-dose computed tomographic screening Prediction of True Positive Lung Cancers in Individuals with Abnormal Suspicious Chest Radiographs—A Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Study The solitary pulmonary nodule Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers Lung cancer screening A clinical model to estimate the pretest probability of lung cancer in patients with solitary pulmonary nodules Determining the likelihood of malignancy in solitary pulmonary nodules with Bayesian analysis. Part II. Application Recent Trends in the Identification of Incidental Pulmonary Nodules Focal ground-glass opacity detected by low-dose helical CT Prediction of risk of lung cancer in populations and in pulmonary nodules: Significant progress to drive changes in paradigms. Recommendations for the management of subsolid pulmonary nodules detected at CT: a statement from the Fleischner Society Natural History of Pulmonary Subsolid Nodules: A Prospective Multicenter Study Assessing probability of malignancy in solid solitary pulmonary nodules with a new Bayesian calculator: improving diagnostic accuracy by means of expanded and updated features Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017. Preoperative pulmonary rehabilitation in patients with lung cancer and chronic obstructive pulmonary disease A Modified Model for Preoperatively Predicting Malignancy of Solitary Pulmonary Nodules: An Asia Cohort Study Precision Diagnosis and Treatment for Advanced Non-Small-Cell Lung Cancer. A mathematical model for predicting malignancy of solitary pulmonary nodules Predicting Malignancy Risk of Screen Detected Lung Nodules - Mean Diameter or Volume Cancer statistics, 2019 Computer-aided diagnosis of ground-glass opacity pulmonary nodules using radiomic features analysis Genomic characterisation of pulmonary subsolid nodules: mutational landscape and radiological features Global Epidemiology of Lung Cancer Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial How to deal with incidentally detected pulmonary nodules less than 10mm in size on CT in a healthy person Management of incidental pulmonary nodules: current strategies and future perspectives Development and Validation of a 18F-FDG PET/CT-Based Clinical Prediction Model for Estimating Malignancy in Solid Pulmonary Nodules Based on a Population With High Prevalence of Malignancy Quantitative radiomic model for predicting malignancy of small solid pulmonary nodules detected by low-dose CT screening Differentiation of focal organising pneumonia and peripheral adenocarcinoma in solid lung lesions using thin-section CT-based radiomics CT-based radiomics signature for differentiating solitary granulomatous nodules from solid lung adenocarcinoma Development and validation of a nomogram to estimate the pretest probability of cancer in Chinese patients with solid solitary pulmonary nodules: A multi-institutional study. Approach to the Subsolid Nodule Nomogram For The Prediction Of Malignancy In Small (8-20 mm) Indeterminate Solid Solitary Pulmonary Nodules In Chinese Populations Fluorine-18 fluorodeoxyglucose positron emission tomography in the management of solitary pulmonary nodule: a review
author name string	wds:Q99565267-082C6A44-E724-4F08-AC9F-9B4904B5A54A wds:Q99565267-2F0DDEBC-FA02-4BD4-8319-60829212A8DA wds:Q99565267-E740926F-C51F-4050-94F9-40BDBD1CB630 wds:Q99565267-EEB7D60A-8799-44E2-B860-A27503D9D847
author name string	Panwen Tian Weimin Li Bojiang Chen Yongzhao Zhou
rdfs:label	Predicting Lung Cancer Risk of Incidental Solid and Subsolid Pulmonary Nodules in Different Sizes (en) Predicting Lung Cancer Risk of Incidental Solid and Subsolid Pulmonary Nodules in Different Sizes (nl)
skos:prefLabel	Predicting Lung Cancer Risk of Incidental Solid and Subsolid Pulmonary Nodules in Different Sizes (en) Predicting Lung Cancer Risk of Incidental Solid and Subsolid Pulmonary Nodules in Different Sizes (nl)
name	Predicting Lung Cancer Risk of Incidental Solid and Subsolid Pulmonary Nodules in Different Sizes (en)

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