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• W2018193208 abstract "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. 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. 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. 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. These results support the use of overlapping reconstruction to improve the quantitative assessment of nodule size with CT imaging." @default.
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• W2018193208 date "2013-02-01" @default.
• W2018193208 modified "2023-10-17" @default.
• W2018193208 title "Benefit of Overlapping Reconstruction for Improving the Quantitative Assessment of CT Lung Nodule Volume" @default.
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• W2018193208 doi "https://doi.org/10.1016/j.acra.2012.08.014" @default.
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