University of Groningen
New nodules at incidence low-dose CT lung cancer screening Walter, Joan Elias
DOI:
10.33612/diss.99863887
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Publication date: 2019
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
Walter, J. E. (2019). New nodules at incidence low-dose CT lung cancer screening. University of Groningen. https://doi.org/10.33612/diss.99863887
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Propositions
New nodules at incidence low-dose
CT lung cancer screening
1. New nodule detection at incidence screening will be the daily routine in lung cancer screening, since baseline screening is performed only once.
2. To account for the higher lung cancer probability at small size, a lower volume threshold of 30mm3 is required for new solid nodules as compared to 100mm3 at
baseline.
3. Assessment of new nodule size and morphology within a fixed time frame is an
assessment of growth.
4. Nodule location characteristics, but not nodule morphology characteristics, can improve size risk-stratification in new solid nodules.
5. Given that a significant proportion of nodules resolves, retrospective recognition of the existence of a growing nodule is associated with substantial lung cancer risk, even in small nodules.
6. The risk-stratification algorithm developed in this thesis enables detection of new nodule lung cancer at an early stage.
7. Risk-stratification of new subsolid nodules can be performed analogous to baseline subsolid nodules.
8. The screening interval and appropriate risk-stratification of new nodules determines the success of lung cancer screening in terms of lung cancer stageshift.
9. Risk-stratification should be based on the nodule with the highest malignancy probability, which not necessarily is the largest nodule.
10. Any chosen screening interval needs to enable detection of the employed growth rate referral threshold.
