Citation, DOI, disclosures and article data
Citation:
Zhao H, Knipe H, Rasuli B, et al. Brock model for pulmonary nodules. Reference article, Radiopaedia.org (Accessed on 18 Apr 2024) https://doi.org/10.53347/rID-50917
Disclosures:
At the time the article was last revised Henry Knipe had the following disclosures:
- Integral Diagnostics, Shareholder (ongoing)
- Micro-X Ltd, Shareholder (ongoing)
These were assessed during peer review and were determined to
not be relevant to the changes that were made.
View Henry Knipe's current disclosures
The Brock model, also known as the PanCan model, is a multivariable model that estimates the risk that a pulmonary nodule on CT scan is lung cancer.
The model was developed from participants enrolled in the Pan-Canadian Early Detection of Lung Cancer Study 1, has been validated in lung cancer screening and clinical populations 1-3, and is recommended by the British Thoracic Society guidelines for pulmonary nodules 4.
Predictors of lung cancer in the Brock model 1:
By providing an estimate of nodule lung cancer risk, the Brock model can assist in determining appropriate follow-up and management of pulmonary nodules detected on CT.
See also
External links
If any of these links are broken or for other problems and questions, please contact [email protected].
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1. McWilliams A, Tammemagi M, Mayo J et al. Probability of Cancer in Pulmonary Nodules Detected on First Screening CT. N Engl J Med. 2013;369(10):910-9. doi:10.1056/NEJMoa1214726 - Pubmed
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2. Winkler Wille M, van Riel S, Saghir Z et al. Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation Based on CT from the Danish Lung Cancer Screening Trial. Eur Radiol. 2015;25(10):3093-9. doi:10.1007/s00330-015-3689-0 - Pubmed
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3. Al-Ameri A, Malhotra P, Thygesen H et al. Risk of Malignancy in Pulmonary Nodules: A Validation Study of Four Prediction Models. Lung Cancer. 2015;89(1):27-30. doi:10.1016/j.lungcan.2015.03.018 - Pubmed
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4. Callister M, Baldwin D, Akram A et al. British Thoracic Society Guidelines for the Investigation and Management of Pulmonary Nodules. Thorax. 2015;70 Suppl 2(Suppl 2):ii1-ii54. doi:10.1136/thoraxjnl-2015-207168 - Pubmed
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