Does the Brock risk prediction model have a negative predictive capacity?

In conclusion, we are the first to validate the Brock risk predic- tion model in an unselected, large and heterogeneous multi- centre clinical population. Our results indicate that the model has a very high negative predictive capacity outside a screening setting.

Does the Brock model predict malignant and benign nodules?

Discussion the Brock model shows high predictive discrimination of potentially malignant and benign nodules when validated in an unselected, heterogeneous clinical population. the high nPV may be used to decrease the number of nodule follow-up examinations.

What is the Brock model?

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.

Can the Brock risk calculator be used for lung cancer screening?

The Brock risk calculator has been developed and validated on selected lung cancer screening populations, but has thus far not been tested in a large clinical cohort. ► Our external validation study of a large multicentre clinical population shows persistent discriminative power of the Brock model when used on clinically detected nodules.