A comparison of two commercial volumetry software programs in the analysis of pulmonary ground-glass nodules: Segmentation capability and measurement accuracy

Korean Journal of Radiology

Volumn 14, Issue 4, 2013, Pages 683-691

  Kim, Hyungjin ^a   Park, Chang Min ^a,b   Lee, Sang Min ^a   Lee, Hyun Ju ^a   Goo, Jin Mo ^a,b  

^a Seoul National University College of Medicine   (South Korea)

^b Seoul National University   (South Korea)

Author keywords

Imaging; Lung neoplasms; Multidetector computed tomography; Phantoms; Radiologic; Solitary pulmonary nodule; Technology

Indexed keywords

ACCURACY; ADULT; AGED; ALGORITHM; ANALYTICAL PARAMETERS; ARTICLE; COMPARATIVE STUDY; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; FEMALE; HUMAN; IMAGE ANALYSIS; INFORMATION PROCESSING; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; MORPHOLOGY; PULMONARY GROUND GLASS NODULE; STATISTICAL ANALYSIS; VOLUMETRY;

LUNG NEOPLASMS; MULTIDETECTOR COMPUTED TOMOGRAPHY; PHANTOMS, IMAGING; SOLITARY PULMONARY NODULE; TECHNOLOGY, RADIOLOGIC;

ADULT; AGED; ALGORITHMS; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; MULTIDETECTOR COMPUTED TOMOGRAPHY; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SOFTWARE; SOLITARY PULMONARY NODULE;

EID: 84880850878     PISSN: 12296929     EISSN: None     Source Type: Journal    
DOI: 10.3348/kjr.2013.14.4.683     Document Type: Article

References (20)

1. Henschke CI, Yankelevitz DF, Mirtcheva R, McGuinness G, McCauley D, Miettinen OS; ELCAP Group. CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules. AJR Am J Roentgenol 2002;178:1053-1057
2. Park CM, Goo JM, Lee HJ, Lee CH, Chun EJ, Im JG. Nodular ground-glass opacity at thin-section CT: histologic correlation and evaluation of change at follow-up. Radiographics 2007;27:391-408
3. Lee HJ, Goo JM, Lee CH, Park CM, Kim KG, Park EA, et al. Predictive CT findings of malignancy in ground-glass nodules on thin-section chest CT: the effects on radiologist performance. Eur Radiol 2009;19:552-560
4. Kim HY, Shim YM, Lee KS, Han J, Yi CA, Kim YK. Persistent pulmonary nodular ground-glass opacity at thin-section CT: histopathologic comparisons. Radiology 2007;245:267-275
5. Tsunezuka Y, Shimizu Y, Tanaka N, Takayanagi T, Kawano M. Positron emission tomography in relation to Noguchi's classification for diagnosis of peripheral non-small-cell lung cancer 2 cm or less in size. World J Surg 2007;31:314-317
6. de Hoop B, Gietema H, van de Vorst S, Murphy K, van Klaveren RJ, Prokop M. Pulmonary ground-glass nodules: increase in mass as an early indicator of growth. Radiology 2010;255:199-206
7. Goo JM. A computer-aided diagnosis for evaluating lung nodules on chest CT: the current status and perspective. Korean J Radiol 2011;12:145-155
8. Oda S, Awai K, Murao K, Ozawa A, Yanaga Y, Kawanaka K, et al. Computer-aided volumetry of pulmonary nodules exhibiting ground-glass opacity at MDCT. AJR Am J Roentgenol 2010;194:398-406
9. Park CM, Goo JM, Lee HJ, Kim KG, Kang MJ, Shin YH. Persistent pure ground-glass nodules in the lung: interscan variability of semiautomated volume and attenuation measurements. AJR Am J Roentgenol 2010;195:W408-W414
10. de Hoop B, Gietema H, van Ginneken B, Zanen P, Groenewegen G, Prokop M. A comparison of six software packages for evaluation of solid lung nodules using semiautomated volumetry: what is the minimum increase in size to detect growth in repeated CT examinations. Eur Radiol 2009;19:800-808
11. Kakinuma R, Kodama K, Yamada K, Yokoyama A, Adachi S, Mori K, et al. Performance evaluation of 4 measuring methods of ground-glass opacities for predicting the 5-year relapse-free survival of patients with peripheral nonsmall cell lung cancer: a multicenter study. J Comput Assist Tomogr 2008;32:792-798
12. Wang Y, van Klaveren RJ, van der Zaag-Loonen HJ, de Bock GH, Gietema HA, Xu DM, et al. Effect of nodule characteristics on variability of semiautomated volume measurements in pulmonary nodules detected in a lung cancer screening program. Radiology 2008;248:625-631
13. Gavrielides MA, Kinnard LM, Myers KJ, Petrick N. Noncalcified lung nodules: volumetric assessment with thoracic CT. Radiology 2009;251:26-37
14. Kostis WJ, Reeves AP, Yankelevitz DF, Henschke CI. Threedimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images. IEEE Trans Med Imaging 2003;22:1259-1274
15. Das M, Ley-Zaporozhan J, Gietema HA, Czech A, Mühlenbruch G, Mahnken AH, et al. Accuracy of automated volumetry of pulmonary nodules across different multislice CT scanners. Eur Radiol 2007;17:1979-1984
16. Petrou M, Quint LE, Nan B, Baker LH. Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology. AJR Am J Roentgenol 2007;188:306-312
17. Godoy MC, Naidich DP. Subsolid pulmonary nodules and the spectrum of peripheral adenocarcinomas of the lung: recommended interim guidelines for assessment and management. Radiology 2009;253:606-622
18. Travis WD, Brambilla E, Noguchi M, Nicholson AG, Geisinger KR, Yatabe Y, et al. International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma. J Thorac Oncol 2011;6:244-285
19. Warfield SK, Zou KH, Wells WM. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans Med Imaging 2004;23:903-921
20. Deeley MA, Chen A, Datteri R, Noble JH, Cmelak AJ, Donnelly EF, et al. Comparison of manual and automatic segmentation methods for brain structures in the presence of spaceoccupying lesions: a multi-expert study. Phys Med Biol 2011;56:4557-4577