Top

Published in:

01-07-2015 | CHEST RADIOLOGY

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

Authors: Cristiano Rampinelli, Daniela Origgi, Vittoria Vecchi, Luigi Funicelli, Sara Raimondi, Paul Deak, Massimo Bellomi

Published in: La radiologia medica | Issue 7/2015

Abstract

Purpose

The authors sought to evaluate the effect of model-based iterative reconstruction (MBIR) on the sensitivity of ground-glass nodule (GGN) detection at different dose levels.

Materials and methods

Fifty-four artificial GGN were randomly divided into three sets, each positioned in an anthropomorphic phantom. The three sets were evaluated on standard-dose (SD, 350 mA), low-dose (LD, 35 mA) and ultra-low-dose (ULD, 10 mA) CT scans (100 kV, 64 × 0.625 mm, 0.5 s), and each scan was reconstructed twice with filtered back projection (FBP) and MBIR. Three radiologists independently evaluated the scans for GGN presence and size. SD + FBP was considered the reference standard. A region of interest (ROI) was used to calculate signal-to-noise ratio (SNR) and contrast-to-noise ratio normalised to dose (CNRD). McNemar’s test, Bland–Altman analysis and t test were used for statistical assessment (p < 0.05).

Results

The mean diameter of the 54 GGNs was 9.2 mm (range 3.7–17.3 mm). For the three readers, no statistically significant differences were observed in the sensitivity of GGN detection between LD + MBIR, ULD + MBIR and SD + FBP (p > 0.05). Bland–Altman analysis showed a good reader agreement (±1.5 mm) for GGN size between SD + FBP and ULD + MBIR. For low dose and ultra-low dose, the SNR and CNRD were significantly higher with MBIR (p < 0.0001). The effective dose was 97.1 % lower with ultra-low dose (0.15 mSv) than standard dose (5.15 mSv).

Conclusions

The detection of GGN with MBIR at low-dose and ultra-low-dose CT does not differ significantly from standard-dose CT with FBP in an anthropomorphic phantom.

Brenner DJ, Hall EJ (2007) Computed tomography–an increasing source of radiation exposure. N Engl J Med 357:2277–2384PubMedCrossRef

Sarma A, Heilbrun ME, Conner KE et al (2012) Radiation and chest CT scan examinations: what do we know? Chest 142:750–760PubMedCrossRef

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):175–184PubMedCrossRef

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 368:1980–1991CrossRef

Dohan A, Soyer P (2012) Low-dose abdominal CT for diagnosing appendicitis. N Engl J Med 367(5):477–479PubMedCrossRef

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):383–392PubMedCrossRef

Albert JM (2013) Radiation risk from CT: implications for cancer screening. Am J Roentgenol 201:W81–W87CrossRef

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 365:395–409CrossRef

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):304–317PubMedCrossRef

10.

Godoy MC, Naidich DP (2012) Overview and strategic management of subsolid pulmonary nodules. J Thorac Imaging 27(4):240–248PubMedCrossRef

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):1053–1057CrossRef

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–e150PubMedCrossRef

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):191–199CrossRef

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):512–517PubMedCrossRef

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):99–110PubMedCrossRef

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):902–908PubMedCrossRef

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):206–212PubMed

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):360–366PubMedCrossRef

20.

Huda W, Mettler FA (2011) Volume CT dose index and dose-length product displayed during CT: what good are they? Radiology 258:236–242PubMedCrossRef

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):307–310PubMedCrossRef

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):848–857PubMedCrossRef

24.

Mettler FA Jr, Huda W, Yoshizumi TT, Mahesh M (2008) Effective doses in radiology and diagnostic nuclear medicine: a catalog. Radiology 248(1):254–263PubMedCrossRef

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):482–489PubMedCrossRef

26.

Revel MP, Bissery A, Bienvenu M et al (2004) Are two-dimensional CT measurements of small noncalcified pulmonary nodules reliable? Radiology 231(2):453–458PubMedCrossRef

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):2700–2708PubMedCrossRef

28.

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):1613–1623PubMedCrossRef

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):20130644PubMedCrossRef

Title: Ultra-low-dose CT with model-based iterative reconstruction (MBIR): detection of ground-glass nodules in an anthropomorphic phantom study
Authors: Cristiano Rampinelli
Daniela Origgi
Vittoria Vecchi
Luigi Funicelli
Sara Raimondi
Paul Deak
Massimo Bellomi
Publication date: 01-07-2015
Publisher: Springer Milan
Published in: La radiologia medica / Issue 7/2015
Print ISSN: 0033-8362
Electronic ISSN: 1826-6983
DOI: https://doi.org/10.1007/s11547-015-0505-5

Keynote webinar | Spotlight on medication adherence

Springer Medicine

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

Abstract

Purpose

Materials and methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Materials and methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 7/2015

Diffusion-weighted magnetic resonance imaging and ultrasound evaluation of choroidal melanomas after proton-beam therapy

Metal and motion artifacts by cone beam computed tomography (CBCT) in dental and maxillofacial study

The key role of the radiologist in the management of polytrauma patients: indications for MDCT imaging in emergency radiology

Sequential endovascular thrombectomy approach (SETA) to acute ischemic stroke: preliminary single-centre results and cost analysis

Crohn’s disease of the small bowel: evaluation of ileal inflammation by diffusion-weighted MR imaging and correlation with the Harvey-Bradshaw index

Contrast-enhanced ultrasound in the diagnosis of hepatocellular carcinoma