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Cohen, J. G.,Goo, J. M.,Yoo, R. E.,Park, C. M.,Lee, C. H.,Ginneken, B.,Chung, D. H.,Kim, Y. T. Springer Science + Business Media 2016 EUROPEAN RADIOLOGY Vol.26 No.12
<P>To evaluate the performance of software in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas. Seventy-three pulmonary adenocarcinomas manifesting as subsolid nodules were included. Two radiologists measured the maximal axial diameter of the ground-glass components on lung windows and that of the solid components on lung and mediastinal windows. Nodules were segmented using software by applying five (-850 HU to -650 HU) and nine (-130 HU to -500 HU) attenuation thresholds. We compared the manual and software measurements of ground-glass and solid components with pathology measurements of tumour and invasive components. Segmentation of ground-glass components at a threshold of -750 HU yielded mean differences of +0.06 mm (p = 0.83, 95 % limits of agreement, 4.51 to 4.67) and -2.32 mm (p < 0.001, -8.27 to 3.63) when compared with pathology and manual measurements, respectively. For solid components, mean differences between the software (at -350 HU) and pathology measurements and between the manual (lung and mediastinal windows) and pathology measurements were -0.12 mm (p = 0.74, -5.73 to 5.55]), 0.15 mm (p = 0.73, -6.92 to 7.22), and -1.14 mm (p < 0.001, -7.93 to 5.64), respectively. Software segmentation of ground-glass and solid components in subsolid nodules showed no significant difference with pathology. aEuro cent Software can effectively segment ground-glass and solid components in subsolid nodules. aEuro cent Software measurements show no significant difference with pathology measurements. aEuro cent Manual measurements are more accurate on lung windows than on mediastinal windows.</P>
Cohen, J.G.,Goo, J.M.,Yoo, R.E.,Park, S.B.,van Ginneken, B.,Ferretti, G.R.,Lee, C.H.,Park, C.M. G. Thieme ; Elsevier Science Pub. Co 2016 European journal of radiology Vol.85 No.6
<P>Objectives: To evaluate the differences in semi-automatic measurements of CT attenuation and volume of part-solid nodules (PSNs) between unenhanced and enhanced CT scans. Materials and methods: CT scans including unenhanced and enhanced phases (slice thickness 0.625 and 1.25 mm, respectively) for 53 adenocarcinomas presenting as PSNs in 50 patients were retrospectively evaluated. For each nodule, semi-automatic segmentation provided the diameter, mean attenuation, mass, and volume of a whole nodule and its solid component. Interscan variability and statistical significance of the differences in those measures according to the adenocarcinoma category were evaluated by one reader. Results: All parameters except for the mean attenuation of the solid components, were significantly increased on enhanced CT (p < 0.05). For the whole nodule, the mean relative differences were as follows: the longest diameter, 1.4% (limits of agreement,-6.2-9.1); volume, 2.4% (-26.7-31.4); mass, 7.0% (-11.3-25.2); mean attenuation, 2.7% (-5.6-11). For the nodule's solid component, those differences were as follow: the longest diameter, 6.9% (-34.4-48.2); volume, 17.9% (-77.8-113.7); mass, 18.8% (-77.8-115.4). The differences of measures between the unenhanced and enhanced CT were not significantly different between two groups of adenocarcinoma in situ/minimally invasive adenocarcinomas and invasive adenocarcinomas (p > 0.05). Conclusions: As most volumetric and attenuation measurements changed significantly after contrast enhancement, care should be taken in comparing unenhanced and enhanced CT in the evaluation of PSNs. (C) 2016 Elsevier Ireland Ltd. All rights reserved.</P>