A Comparison of Two Commercial Volumetry Software Programs in the Analysis of Pulmonary Ground-Glass Nodules: Segmentation Capability and Measurement Accuracy.
10.3348/kjr.2013.14.4.683
- Author:
Hyungjin KIM
1
;
Chang Min PARK
;
Sang Min LEE
;
Hyun Ju LEE
;
Jin Mo GOO
Author Information
1. Department of Radiology, Seoul National University College of Medicine, and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul 110-744, Korea. cmpark@radiol.snu.ac.kr
- Publication Type:Original Article ; Comparative Study ; Research Support, Non-U.S. Gov't
- Keywords:
Lung neoplasms;
Solitary pulmonary nodule;
Multidetector computed tomography;
Phantoms, imaging;
Technology, radiologic
- MeSH:
Adult;
Aged;
*Algorithms;
Female;
Humans;
Lung Neoplasms/diagnosis;
Male;
Middle Aged;
Multidetector Computed Tomography/*methods;
*Phantoms, Imaging;
Reproducibility of Results;
Retrospective Studies;
*Software;
Solitary Pulmonary Nodule/*radiography
- From:Korean Journal of Radiology
2013;14(4):683-691
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVE: To compare the segmentation capability of the 2 currently available commercial volumetry software programs with specific segmentation algorithms for pulmonary ground-glass nodules (GGNs) and to assess their measurement accuracy. MATERIALS AND METHODS: In this study, 55 patients with 66 GGNs underwent unenhanced low-dose CT. GGN segmentation was performed by using 2 volumetry software programs (LungCARE, Siemens Healthcare; LungVCAR, GE Healthcare). Successful nodule segmentation was assessed visually and morphologic features of GGNs were evaluated to determine factors affecting segmentation by both types of software. In addition, the measurement accuracy of the software programs was investigated by using an anthropomorphic chest phantom containing simulated GGNs. RESULTS: The successful nodule segmentation rate was significantly higher in LungCARE (90.9%) than in LungVCAR (72.7%) (p = 0.012). Vascular attachment was a negatively influencing morphologic feature of nodule segmentation for both software programs. As for measurement accuracy, mean relative volume measurement errors in nodules > or = 10 mm were 14.89% with LungCARE and 19.96% with LungVCAR. The mean relative attenuation measurement errors in nodules > or = 10 mm were 3.03% with LungCARE and 5.12% with LungVCAR. CONCLUSION: LungCARE shows significantly higher segmentation success rates than LungVCAR. Measurement accuracy of volume and attenuation of GGNs is acceptable in GGNs > or = 10 mm by both software programs.
