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First published online January 19, 2009
British Journal of Radiology (2009) 82, 401-411
© 2009 British Institute of Radiology
doi: 10.1259/bjr/51749983
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British Journal of Radiology 82 (2009),401-411 ©2009 The British Institute of Radiology

Three-dimensional simulation of lung nodules for paediatric multidetector array CT

X LI, MS 1,2 E SAMEI, PhD 1,2,3 D M DELONG, PhD 4 R P JONES, BA 5 A M GACA, MD 6 C L HOLLINGSWORTH, MD 6 C M MAXFIELD, MD 6 C W T CARRICO, MD 1,6 and D P FRUSH, MD

1 Medical Physics Graduate Program, 2 Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, 3 Departments of Physics and Biomedical Engineering, 4 Department of Biostatistics and Bioinformatics, 5 School of Medicine and 6 Division of Pediatric Radiology, Department of Radiology, Duke University, Durham, NC, 27705, USA

Correspondence: E Samei, Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, NC 27705, USA. E-mail: samei{at}duke.edu

The purpose of this study was to develop and validate a technique for three-dimensional (3D) modelling of small lung nodules on paediatric multidetector array computed tomography (MDCT) images. Clinical images were selected from 21 patients (<18 years old) who underwent MDCT examinations. Sixteen of the patients had one or more real lung nodules with diameters between 2.5 and 6 mm. A mathematical simulation technique was developed to emulate the 3D characteristics of the real nodules. To validate this technique, MDCT images of 34 real nodules and 55 simulated nodules were randomised and rated independently by four experienced paediatric radiologists on a continuous scale of appearance between 0 (definitely not real) and 100 (definitely real). Receiver operating characteristic (ROC) analysis, t-test, and equivalence test were performed to assess the radiologists' ability to distinguish between simulated and real nodules. The two types of nodules were also compared in terms of measured shape and contrast profile irregularities. The areas under the ROC curves were 0.59, 0.60, 0.40, and 0.63 for the four observers. Mean score differences between simulated and real nodules were –8, –11, 13, and –4 for the four observers with p-values of 0.17, 0.06, 0.17, and 0.26, respectively. The simulated and real nodules were perceptually equivalent and had comparable shape and contrast profile irregularities. In conclusion, mathematical simulation is a feasible technique for creating realistic small lung nodules on paediatric MDCT images.






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