Quantitative Estimation of Individual Lung Cancer Risk (original) (raw)

Abstract

PURPOSE To evaluate the performance of a new and quantitative method for estimating individual lung cancer risk based on CT HU values at airway bifurcations and FEV1/FVC. METHOD AND MATERIALS 108 subjects with spirometry and thin slice CT (<= 1.25mm) data were selected from a CT screening study including 15 early lung cancers and 93 age and pack year matched controls. A subset of 7 cancer and 72 control cases were scanned with 1mm CT slice thickness, representing a high resolution case subset (HR). A quantitative lung cancer risk index (LCRI) method was developed based on airway bifurcation HU values combined with FEV1/FVC. Cochran-Mantel-Haenszel (CMH) and conditional logistic regression tests were used to analyze performance. RESULTS CMH crude analysis revealed a cancer detection sensitivity and specificity of 69% and 71% for all cases and 100% and 73% for the HR case subset, respectively. Conditional logistic regression showed that a 0.1 increase in LCRI was associated with an...

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