Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably
Open Access
- 20 March 2010
- journal article
- research article
- Published by Springer Nature in European Radiology
- Vol. 20 (8) , 1878-1885
- https://doi.org/10.1007/s00330-010-1749-z
Abstract
Objective We examined the reproducibility of lung nodule volumetry software that offers three different volumetry algorithms. Methods In a lung cancer screening trial, 188 baseline nodules >5 mm were identified. Including follow-ups, these nodules formed a study-set of 545 nodules. Nodules were independently double read by two readers using commercially available volumetry software. The software offers readers three different analysing algorithms. We compared the inter-observer variability of nodule volumetry when the readers used the same and different algorithms. Results Both readers were able to correctly segment and measure 72% of nodules. In 80% of these cases, the readers chose the same algorithm. When readers used the same algorithm, exactly the same volume was measured in 50% of readings and a difference of >25% was observed in 4%. When the readers used different algorithms, 83% of measurements showed a difference of >25%. Conclusion Modern volumetric software failed to correctly segment a high number of screen detected nodules. While choosing a different algorithm can yield better segmentation of a lung nodule, reproducibility of volumetric measurements deteriorates substantially when different algorithms were used. It is crucial even in the same software package to choose identical parameters for follow-up.Keywords
This publication has 17 references indexed in Scilit:
- Pulmonary Nodules: Volume Repeatability at Multidetector CT Lung Cancer ScreeningRadiology, 2009
- Pulmonary Nodules: Interscan Variability of Semiautomated Volume Measurements with Multisection CT—Influence of Inspiration Level, Nodule Size, and Segmentation PerformanceRadiology, 2007
- Nodule management protocol of the NELSON randomised lung cancer screening trialLung Cancer, 2006
- Pulmonary Nodules Detected at Lung Cancer Screening: Interobserver Variability of Semiautomated Volume MeasurementsRadiology, 2006
- Automated Detection of Lung Nodules in Multidetector CT: Influence of Different Reconstruction Protocols on Performance of a Software PrototypeRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 2005
- Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical ct imagesIEEE Transactions on Medical Imaging, 2003
- Lung Cancer Screening with CT: Mayo Clinic ExperienceRadiology, 2003
- Computed tomography in staging for lung cancerEuropean Respiratory Journal, 2002
- Small Pulmonary Nodules: Volumetrically Determined Growth Rates Based on CT EvaluationRadiology, 2000
- Early Lung Cancer Action Project: overall design and findings from baseline screeningThe Lancet, 1999