Brock malignancy risk calculator for pulmonary nodules

Kaman Chung, Cornelia Schaefer-Prokop and colleagues described the results of their research in Thorax.

Ka Chung, member of the theme Rare cancers, will defend her PhD thesis on 12 June 2018.

Abstract

Objective:
To assess the performance of the Brock malignancy risk model for pulmonary nodules detected in routine clinical setting.
Methods:
In two academic centres in the Netherlands, we established a list of patients aged ≥40 years who received a chest CT scan between 2004 and 2012, resulting in 16 850 and 23 454 eligible subjects. Subsequent diagnosis of lung cancer until the end of 2014 was established through linking with the National Cancer Registry. A nested case-control study was performed (ratio 1:3). Two observers used semiautomated software to annotate the nodules. The Brock model was separately validated on each data set using ROC analysis and compared with a solely size-based model.
Results:
After the annotation process the final analysis included 177 malignant and 695 benign nodules for centre A, and 264 malignant and 710 benign nodules for centre B. The full Brock model resulted in areas under the curve (AUCs) of 0.90 and 0.91, while the size-only model yielded significantly lower AUCs of 0.88 and 0.87, respectively (p99%.
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.

Publication: 
Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population.
Chung K, Mets OM, Gerke PK, Jacobs C, den Harder AM, Scholten ET, Prokop M, de Jong PA, van Ginneken B, Schaefer-Prokop CM.

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