TY - JOUR T1 - Performance of segmentation software on large longitudinal database of pulmonary nodules in the Danish Lung Cancer Screening Trial (DLCST) JF - European Respiratory Journal JO - Eur Respir J VL - 40 IS - Suppl 56 SP - P262 AU - Zaigham Saghir AU - Colin Jacobs AU - Bram van Ginneken AU - Marleen de Bruijne AU - Asger Dirksen AU - Jesper Holst Pedersen Y1 - 2012/09/01 UR - http://erj.ersjournals.com/content/40/Suppl_56/P262.abstract N2 - Introduction and aimGrowth measurements of pulmonary nodules are subject to great interest due to the risk of malignancy. We examined the reproducibility of lung nodule volumetric software that offers two different volumetric algorithms.Materials and methodsIn the Danish Lung Cancer Screening trial, 2,052 participant with high risk of lung cancer where randomized to five annual multislice low-dose scans. All scans were double-read by two experienced chest radiologists and the location and size of nodules were registered. Subsequently the nodules were linked chronologically (same nodule in different scans) and independently reviewed by two readers using volumetric software. The software offers readers two different analysing algorithms, “solid nodule algorithm” and “partsolid/nonsolid algorithm”. We compared the inter-observer variability regarding use of algorithm and rate of success.Results1442 nodules were measured 5988 times. The readers reviewed the segmentations visually and were able to correctly segment and measure 94% and 97% of the nodules, respectively. In 90% of these cases, the readers chose the same algorithm.ConclusionUsing this volumetric software on a large database with longitudinal data shows a high success rate and large agreement in choosing algorithm. ER -