Ultra-low-dose CT with model-based iterative reconstruction (MBIR): detection of ground-glass nodules in an anthropomorphic phantom study

Radiologia Medica

Volumn 120, Issue 7, 2015, Pages 611-617

  Rampinelli, Cristiano ^a   Origgi, Daniela ^a   Vecchi, Vittoria ^b   Funicelli, Luigi ^a   Raimondi, Sara ^a   Deak, Paul ^c   Bellomi, Massimo ^a,b  

^a EUROPEAN INSTITUTE OF ONCOLOGY   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

^c GE HEALTHCARE   (Germany)

Author keywords

Computed tomography; Ground glass nodules; Iterative reconstruction; Radiation exposure dose

Indexed keywords

IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG NEOPLASMS; METHODS; MODELS, ANATOMIC; MULTIPLE PULMONARY NODULES; PHANTOMS, IMAGING; RADIATION DOSAGE; RADIOGRAPHY; TOMOGRAPHY, X-RAY COMPUTED;

IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG NEOPLASMS; MODELS, ANATOMIC; MULTIPLE PULMONARY NODULES; PHANTOMS, IMAGING; RADIATION DOSAGE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84931003800     PISSN: 00338362     EISSN: 18266983     Source Type: Journal    
DOI: 10.1007/s11547-015-0505-5     Document Type: Article

References (30)

1. Brenner DJ, Hall EJ (2007) Computed tomography–an increasing source of radiation exposure. N Engl J Med 357:2277–2384
2. Sarma A, Heilbrun ME, Conner KE et al (2012) Radiation and chest CT scan examinations: what do we know? Chest 142:750–760
3. Sodickson A, Baeyens PF, Andriole KP et al (2009) Recurrent CT, cumulative radiation exposure, and associated radiation-induced cancer risks from CT of adults. Radiology 251(1):175–184
4. Team National Lung Screening Trial Research, Church TR, Black WC, Aberle DR, Berg CD, Clingan KL et al (2013) Results of initial low-dose computed tomographic screening for lung cancer. N Engl J Med 368:1980–1991
5. Dohan A, Soyer P (2012) Low-dose abdominal CT for diagnosing appendicitis. N Engl J Med 367(5):477–479
6. Macari M, Bini EJ, Xue X et al (2002) Colorectal neoplasms: prospective comparison of thin-section low-dose multi-detector row CT colonography and conventional colonoscopy for detection. Radiology 224(2):383–392
7. Albert JM (2013) Radiation risk from CT: implications for cancer screening. Am J Roentgenol 201:W81–W87
8. Team National Lung Screening Trial Research, Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD et al (2011) Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med 365:395–409
9. Naidich DP, Bankier AA, MacMahon H et al (2013) Recommendations for the management of subsolid pulmonary nodules detected at CT: a statement from the Fleischner Society. Radiology 266(1):304–317
10. Godoy MC, Naidich DP (2012) Overview and strategic management of subsolid pulmonary nodules. J Thorac Imaging 27(4):240–248
11. Henschke CI, Yankelevitz DF, Mirtcheva R et al (2002) CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules. Am J Roentgenol 178(5):1053–1057
12. Christe A, Charimo-Torrente J, Roychoudhury K et al (2013) Accuracy of low-dose computed tomography (CT) for detecting and characterizing the most common CT-patterns of pulmonary disease. Eur J Radiol 82(3):e142–e150
13. Silva AC, Lawder HJ, Hara A et al (2010) Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. Am J Roentgenol 194(1):191–199
14. Lee Y, Jin KN, Lee NK (2012) Low-dose computed tomography of the chest using iterative reconstruction versus filtered back projection: comparison of image quality. J Comput Assist Tomogr 36(5):512–517
15. Miéville FA, Gudinchet F, Brunelle F et al (2013) Iterative reconstruction methods in two different MDCT scanners: physical metrics and 4-alternative forced-choice detectability experiments–a phantom approach. Phys Med 29(1):99–110
16. Xu Y, He W, Chen H et al (2013) Impact of the adaptive statistical iterative reconstruction technique on image quality in ultra-low-dose CT. Clin Radiol 68(9):902–908
17. Katsura M, Matsuda I, Akahane M et al (2013) Model-based iterative reconstruction technique for ultralow-dose chest CT: comparison of pulmonary nodule detectability with the adaptive statistical iterative reconstruction technique. Invest Radiol 48(4):206–212
18. Ichikawa Y, Kitagawa K, Nagasawa N et al (2013) CT of the chest with model-based, fully iterative reconstruction: comparison with adaptive statistical iterative reconstruction. BMC Med Imaging 9:13–27
19. Neroladaki A, Botsikas D, Boudabbous S et al (2013) Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations. Eur Radiol 23(2):360–366
20. Huda W, Mettler FA (2011) Volume CT dose index and dose-length product displayed during CT: what good are they? Radiology 258:236–242
21. The 2007 Recommendations of the International Commission on Radiological Protection (2007) ICRP publication 103. Ann ICRP 37(2–4):1–332
22. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476):307–310
23. Kim H, Park CM, Song YS et al (2014) Influence of radiation dose and iterative reconstruction algorithms for measurement accuracy and reproducibility of pulmonary nodule volume: a phantom study. Eur J Radiol 83(5):848–857
24. Mettler FA Jr, Huda W, Yoshizumi TT, Mahesh M (2008) Effective doses in radiology and diagnostic nuclear medicine: a catalog. Radiology 248(1):254–263
25. Yamada Y, Jinzaki M, Tanami Y et al (2012) Model-based iterative reconstruction technique for ultralow-dose computed tomography of the lung: a pilot study. Invest Radiol 47(8):482–489
26. Revel MP, Bissery A, Bienvenu M et al (2004) Are two-dimensional CT measurements of small noncalcified pulmonary nodules reliable? Radiology 231(2):453–458
27. Kim H, Park CM, Kim SH et al (2014) Persistent pulmonary subsolid nodules: model-based iterative reconstruction for nodule classification and measurement variability on low-dose CT. Eur Radiol 24(11):2700–2708
28. Silva AC, Lawder HJ, Hara A et al (2010) Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. Am J Roentgenol 194(1):191–199
29. Katsura M, Matsuda I, Akahane M et al (2012) Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique. Eur Radiol 22(8):1613–1623
30. Doo KW, Kang EY, Yong HS et al (2014) Accuracy of lung nodule volumetry in low-dose CT with iterative reconstruction:an anthropomorphic thoracic phantom study. Br J Radiol 87(1041):20130644