Accuracy of lung nodule volumetry in low-dose CT with iterative reconstruction: An anthropomorphic thoracic phantom study

British Journal of Radiology

Volumn 87, Issue 1041, 2014, Pages

  Doo, K W ^a   Kang, E Y ^a   Yong, H S ^a   Woo, O H ^a   Lee, K Y ^b   Oh, Y W ^c  

^a Korea University College of Medicine   (South Korea)

^b Korea University College of Medicine   (South Korea)

^c Korea University College of Medicine   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ANTHROPOMETRY; ARTICLE; ARTIFICIAL LUNG; COMPARATIVE STUDY; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGING PHANTOM; LUNG NODULE; TUMOR VOLUME; VOLUMETRY; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; ORGAN SIZE; PATHOLOGY; PROCEDURES; RADIOGRAPHY; RANDOMIZED CONTROLLED TRIAL;

HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; ORGAN SIZE; PHANTOMS, IMAGING; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84907481886     PISSN: 00071285     EISSN: 1748880X     Source Type: Journal    
DOI: 10.1259/bjr.20130644     Document Type: Article

References (32)

1. Therasse P, Arbuck SG, Eisenhauer EA, Wanders J, Kaplan RS, Rubinstein L, et al. New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst 2000; 92: 205-16.
2. Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 2009; 45: 228-47. doi: 10.1016/j.ejca.2008.10.026
3. van Klaveren RJ, Oudkerk M, Prokop M, Scholten ET, Nackaerts K, Vernhout R, et al. Management of lung nodules detected by volume CTscanning. N Engl J Med 2009; 361: 2221-9. doi: 10.1056/NEJMoa0906085
4. Brenner DJ, Hall EJ. Computed tomography - an increasing source of radiation exposure. N Engl J Med 2007; 357: 2277-84.
5. Willemink MJ, de Jong PA, Leiner T, de Heer LM, Nievelstein RA, Budde RP, et al. Iterative reconstruction techniques for computed tomography part 1: technical principles. Eur Radiol 2013; 23: 1623-31. doi: 10.1007/s00330-012-2765-y
6. Singh S, Kalra MK, Gilman MD, Hsieh J, Pien HH, Digumarthy SR, et al. Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study. Radiology 2011; 259: 565-73. doi: 10.1148/radiol.11101450
7. Funama Y, Oda S, Utsunomiya D, Taguchi K, Shimonobo T, Yamashita Y, et al. Coronary artery stent evaluation by combining iterative reconstruction and high-resolution kernel at coronary CT angiography. Acad Radiol 2012; 19: 1324-31. doi: 10.1016/j.acra.2012.06.013
8. Katsura M, Matsuda I, Akahane M, Sato J, Akai H, Yasaka K, et al. Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique. Eur Radiol 2012; 22: 1613-23.
9. Mets OM, Willemink MJ, de Kort FP, Mol CP, Leiner T, Oudkerk M, et al. The effect of iterative reconstruction on computed tomography assessment of emphysema, air trapping and airway dimensions. Eur Radiol 2012; 22: 2103-9. doi: 10.1007/s00330-012-2489-z
10. Yamada Y, Jinzaki M, Tanami Y, Shiomi E, Sugiura H, Abe T, et al. Model-based iterative reconstruction technique for ultralow-dose computed tomography of the lung: a pilot study. Invest Radiol 2012; 47: 482-9. doi: 10.1097/RLI.0b013e3182562a89
11. Gavrielides MA, Kinnard LM, Myers KJ, Petrick N. Noncalcified lung nodules: volumetric assessment with thoracic CT. Radiology 2009; 251: 26-37. doi: 10.1148/radiol.2511071897
12. Goo JM, Tongdee T, Tongdee R, Yeo K, Hildebolt CF, Bae KT. Volumetric measurement of synthetic lung nodules with multidetector row CT: effect of various image reconstruction parameters and segmentation thresholds on measurement accuracy. Radiology 2005; 235: 850-6. doi: 10.1148/radiol.2353040737
13. Gavrielides MA, Zeng R, Myers KJ, Sahiner B, Petrick N. Benefit of overlapping reconstruction for improving the quantitative assessment of CT lung nodule volume. Acad Radiol 2013; 20: 173-80. doi: 10.1016/j.acra.2012.08.014
14. Xie X, Zhao Y, Snijder RA, van Ooijen PM, de Jong PA, Oudkerk M, et al. Sensitivity and accuracy of volumetry of pulmonary nodules on low-dose 16- and 64-row multi-detector CT: an anthropomorphic phantom study. Eur Radiol 2013; 23: 139-47. doi: 10.1007/s00330-012-2570-7
15. Chen B, Barnhart H, Richard S, Colsher J, Amurao M, Samei E. et al. Quantitative CT: technique dependence of volume estimation on pulmonary nodules. Phys Med Biol 2012; 57: 1335-48. doi: 10.1088/0031-9155/57/5/1335
16. Ko JP, Rusinek H, Jacobs EL, Babb JS, Betke M, McGuinness G, et al. Small pulmonary nodules: volume measurement at chest CT - phantom study. Radiology 2003; 228: 864-70. doi: 10.1148/radiol.2283020059
17. Willemink MJ, Leiner T, Budde RP, de Kort FP, Vliegenthart R, van Ooijen PM, et al. Systematic error in lung nodule volumetry: effect of iterative reconstruction versus filtered back projection at different CT parameters. AJR Am J Roentgenol 2012; 199: 1241-6. doi: 10.2214/AJR.12.8727
18. 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: 1979-84. doi: 10.1007/s00330-006-0562-1
19. Wilson DO, Ryan A, Fuhrman C, Schuchert M, Shapiro S, Siegfried JM, et al. Doubling times and CTscreen-detected lung cancers in the Pittsburgh Lung Screening Study. Am J Respir Crit Care Med 2012; 185: 85-9.
20. Henschke CI, McCauley DI, Yankelevitz DF, Naidich DP, McGuinness G, Miettinen OS, et al. Early lung cancer action project: a summary of the findings on baseline screening. Oncologist 2001; 6: 147-52.
21. National Lung Screening Trial Research Team; Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, et al. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med 2011; 365: 395-409. doi: 10.1056/NEJMoa1102873
22. Henschke CI, Yankelevitz DF, Yip R, Reeves AP, Farooqi A, Xu D, et al. Lung cancers diagnosed at annual CT screening: volume doubling times. Radiology 2012; 263: 578-83. doi: 10.1148/radiol.12102489
23. Yamada Y, Jinzaki M, Hosokawa T, Tanami Y, Sugiura H, Abe T, et al. Dose reduction in chest CT: comparison of the adaptive iterative dose reduction 3D, adaptive iterative dose reduction, and filtered back projection reconstruction techniques. Eur J Radiol 2012; 81: 4185-95. doi: 10.1016/j.ejrad.2012.07.013
24. Ohno Y, Takenaka D, Kanda T, Yoshikawa T, Matsumoto S, Sugihara N, et al. Adaptive iterative dose reduction using 3D processing for reduced- and low-dose pulmonary CT: comparison with standard-dose CT for image noise reduction and radiological findings. AJR Am J Roentgenol 2012; 199: W477-85. doi: 10.2214/AJR.11.8275
25. Gervaise A, Osemont B, Lecocq S, Noel A, Micard E, Felblinger J, et al. CT image quality improvement using adaptive iterative dose reduction with wide-volume acquisition on 320-detector CT. Eur Radiol 2012; 22: 295-301. doi: 10.1007/s00330-011-2271-7
26. Kim M, Lee JM, Yoon JH, Son H, Choi JW, Han JK, et al. Adaptive iterative dose reduction algorithm in CT: effect on image quality compared with filtered back projection in body phantoms of different sizes. Korean J Radiol 2014; 15: 195-204. doi: 10.3348/kjr.2014.15.2.195
27. Yoo RE, Park EA, Lee W, Shim H, Kim YK, Chung JW, et al. Image quality of adaptive iterative dose reduction 3D of coronary CT angiography of 640-slice CT: comparison with filtered back-projection. Int J Cardiovasc Imaging 2013; 29: 669-76. doi: 10.1007/s10554-012-0113-6
28. Tomizawa N, Nojo T, Akahane M, Torigoe R, Kiryu S, Ohtomo K. Adaptiveiterative dose reduction in coronary CT angiography using 320-row CT: assessment of radiation dose reduction and image quality. J Cardiovasc Comput Tomogr 2012; 6: 318-24.
29. Oda S, Awai K, Murao K, Ozawa A, Yanaga Y, Kawanaka K, et al. Computer-aided volumetry of pulmonary nodules exhibiting groundglass opacity at MDCT. AJR Am J Roentgenol 2010; 194: 398-406. doi: 10.2214/AJR.09.2583
30. 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: W408-14. doi: 10.2214/AJR.09.4157
31. Higuchi K, Nagao M, Matsuo Y, Sunami S, Kamitani T, Jinnouchi M, et al. Detection of ground-glass opacities by use of hybrid iterative reconstruction (iDose) and low-dose 256-section computed tomography: a phantom study. Radiol Phys Technol 2013; 6:299-304.
32. 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: 306-12.