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For instance, a recent CAD system [3] designed for identifying lung nodules uses an active shape model for lung field segmentation, followed by a weighted multi-scale convergence-index filter for nodule candidates detection.
Although MDDC are not primary human DC, DC derived from primary human monocytes represent an appropriate model for lung DC, since monocytes give rise to myeloid DC in the resting lung [31] as well as to mucosal DC [32].
We have used a similar approach in our case control study design and analysis, and show how genetic variants previously showing small effects on lung cancer risk can be combined in an algorithm with other known risk factors to derive a risk model for lung cancer.
There were 15 variables in the final model for lung cancer in women.
Only the recessive model for lung cancer was significant after Bonferroni correction (P = 0.01).
A model for lung cancer risk is proposed that includes smoking, urbanization, and radon exposure.
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PK/PD modeling for lung delivery.
This review will discuss the approaches to the generation of mouse models for lung cancer.
We review the commonly used preclinical models for lung cancers and evaluate their strengths and weaknesses.
The following topical areas were explored as refinements to address the differences/similarities between the GI and the lung: Lung permeability and transport The role of fluid mechanics in pulmonary drug deposition Particle dissolution in the lung and in vitro testing as applicable to lung particle dissolution PK/PD modeling for lung delivery.
Models for lung and any cancer were additionally adjusted for smoking duration (in years).
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