Accuracy of Clinicians and Models for Estimating the Probability That a Pulmonary Nodule Is Malignant-Reference-Cited by-同舟云学术

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Accuracy of Clinicians and Models for Estimating the Probability That a Pulmonary Nodule Is Malignant

Published:2013-12 Issue:6 Volume:10 Page:629-635
ISSN:2325-6621
Container-title:Annals of the American Thoracic Society
language:en
Short-container-title:Annals ATS

Author:

Balekian Alex A.,Silvestri Gerard A.,Simkovich Suzanne M.,Mestaz Peter J.,Sanders Gillian D.,Daniel Jamie,Porcel Jackie,Gould Michael K.

Publisher

American Thoracic Society

Subject

Pulmonary and Respiratory Medicine

Reference16 articles.

1. Incidental Findings on Cardiac Multidetector Row Computed Tomography Among Healthy Older AdultsPrevalence and Clinical Correlates

2. Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

3. The Probability of Malignancy in Solitary Pulmonary Nodules

4. Validation of two models to estimate the probability of malignancy in patients with solitary pulmonary nodules

5. Existing General Population Models Inaccurately Predict Lung Cancer Risk in Patients Referred for Surgical Evaluation

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1. Radiomics and artificial intelligence for risk stratification of pulmonary nodules: Ready for primetime?;Cancer Biomarkers;2024-02-06

2. Clinical Scores, Biomarkers and IT Tools in Lung Cancer Screening—Can an Integrated Approach Overcome Current Challenges?;Cancers;2023-02-14

3. Comparing modalities for risk assessment in patients with pulmonary lesions and nondiagnostic bronchoscopy for suspected lung cancer;BMC Pulmonary Medicine;2022-11-24

4. Artificial Intelligence Tool for Assessment of Indeterminate Pulmonary Nodules Detected with CT;Radiology;2022-09

5. Prevalence and clinical characteristics of malignant lung nodules in tuberculosis endemic area in a single tertiary centre;BMC Pulmonary Medicine;2022-08-29

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