OBJECTIVE: The main purpose of this study was to investigate the reproducibility of computed tomography (CT)-based volumetric measurements of small pulmonary nodules. METHODS: We implanted 70 artificial pulmonary nodules in 5 ex vivo porcine lungs in a dedicated chest phantom. The lungs were scanned 5 times consecutively with multislice-CT (collimation 16 x 0.75 mm, slice thickness 1 mm, reconstruction increment 0.7 mm). A commercial software package was used for lesion volumetry. The authors differentiated between intrascan reproducibility, interscan reproducibility, and results from semiautomatic and postprocessed volumetry. RESULTS: Analysis of intrascan reproducibility revealed a mean variation coefficient of 6.2% for semiautomatic volumetry and of 0.7% for human adapted volumetry. For interscan reproducibility a mean variation coefficient of 9.2% and for human adapted volumetry a mean of 3.7% was detected. CONCLUSION: The presented volumetry software showed a high reproducibility that can be expected to detect nodule growth with a high degree of certainty.
OBJECTIVE: The main purpose of this study was to investigate the reproducibility of computed tomography (CT)-based volumetric measurements of small pulmonary nodules. METHODS: We implanted 70 artificial pulmonary nodules in 5 ex vivo porcine lungs in a dedicated chest phantom. The lungs were scanned 5 times consecutively with multislice-CT (collimation 16 x 0.75 mm, slice thickness 1 mm, reconstruction increment 0.7 mm). A commercial software package was used for lesion volumetry. The authors differentiated between intrascan reproducibility, interscan reproducibility, and results from semiautomatic and postprocessed volumetry. RESULTS: Analysis of intrascan reproducibility revealed a mean variation coefficient of 6.2% for semiautomatic volumetry and of 0.7% for human adapted volumetry. For interscan reproducibility a mean variation coefficient of 9.2% and for human adapted volumetry a mean of 3.7% was detected. CONCLUSION: The presented volumetry software showed a high reproducibility that can be expected to detect nodule growth with a high degree of certainty.
Authors: Michael Fabel; H Bolte; H von Tengg-Kobligk; L Bornemann; V Dicken; S Delorme; H-U Kauczor; M Heller; J Biederer Journal: Eur Radiol Date: 2010-10-17 Impact factor: 5.315
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Authors: James G Ravenel; William M Leue; Paul J Nietert; James V Miller; Katherine K Taylor; Gerard A Silvestri Journal: Radiology Date: 2008-05 Impact factor: 11.105
Authors: M Fabel; H von Tengg-Kobligk; F L Giesel; L Bornemann; V Dicken; A Kopp-Schneider; C Moser; S Delorme; H-U Kauczor Journal: Eur Radiol Date: 2008-02-15 Impact factor: 5.315
Authors: Sebastian Keil; Florian F Behrendt; Sven Stanzel; Michael Sühling; Alexander Koch; Jhenee Bubenzer; Georg Mühlenbruch; Andreas H Mahnken; Rolf W Günther; Marco Das Journal: Eur Radiol Date: 2008-06-04 Impact factor: 5.315