Benefit of Overlapping Reconstruction for Improving the Quantitative Assessment of CT Lung Nodule Volume.

Rationale and Objectives: The aim of this study was to quantify the effect of overlapping reconstruction on the precision and accuracy of lung nodule volume estimates in a phantom computed tomographic (CT) study. Materials and Methods: An anthropomorphic phantom was used with a vasculature insert on which synthetic lung nodules were attached. Repeated scans of the phantom were acquired using a 64-slice CT scanner. Overlapping and contiguous reconstructions were performed for a range of CT imaging parameters (exposure, slice thickness, pitch, reconstruction kernel) and a range of nodule characteristics (size, density). Nodule volume was estimated with a previously developed matched-filter algorithm. Results: Absolute percentage bias across all nodule sizes (n = 2880) was significantly lower when overlapping reconstruction was used, with an absolute percentage bias of 6.6% (95% confidence interval [CI], 6.4–6.9), compared to 13.2% (95% CI, 12.7–13.8) for contiguous reconstruction. Overlapping reconstruction also showed a precision benefit, with a lower standard percentage error of 7.1% (95% CI, 6.9–7.2) compared with 15.3% (95% CI, 14.9–15.7) for contiguous reconstructions across all nodules. Both effects were more pronounced for the smaller, subcentimeter nodules. Conclusions: These results support the use of overlapping reconstruction to improve the quantitative assessment of nodule size with CT imaging. [ABSTRACT FROM AUTHOR]