Model-based iterative reconstruction technique for ultralow-dose chest CT: Comparison of pulmonary nodule detectability with the adaptive statistical iterative reconstruction technique

Investigative Radiology

Volumn 48, Issue 4, 2013, Pages 206-212

  Katsura, Masaki ^a   Matsuda, Izuru ^a   Akahane, Masaaki ^a   Yasaka, Koichiro ^a   Hanaoka, Shohei ^a   Akai, Hiroyuki ^a   Sato, Jiro ^a   Kunimatsu, Akira ^a   Ohtomo, Kuni ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Adaptive statistical iterative reconstruction; Model based iterative reconstruction; Pulmonary nodule detection; Radiation dose

Indexed keywords

ADAPTIVE ITERATIVE RECONSTRUCTION; ADULT; AGED; ARTICLE; FEMALE; HUMAN; IMAGE RECONSTRUCTION; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; MODEL BASED ITERATIVE RECONSTRUCTION; MULTIDETECTOR COMPUTED TOMOGRAPHY; PRIORITY JOURNAL; PROSPECTIVE STUDY; RADIATION DOSE; RADIATION DOSE REDUCTION; THORAX RADIOGRAPHY;

EID: 84874935300     PISSN: 00209996     EISSN: 15360210     Source Type: Journal    
DOI: 10.1097/RLI.0b013e31827efc3a     Document Type: Article

References (45)

1. Ferlay J, Shin H, Bray F, et al. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010;127:2893-2917.
2. Cancer Facts & Figures 2012. American Cancer Society Web site. http:// www.cancer.org/Research/CancerFactsFigures/CancerFactsFigures/cancer- factsfigures- 2012. Accessed 30 September 2012.
3. Cerfolio RJ, Bryant AS. Survival of patients with true pathologic stage I nonsmall cell lung cancer. Ann Thorac Surg. 2009;88:917-923.
4. Carr SR, Schuchert MJ, Pennathur A, et al. Impact of tumor size on outcomes after anatomic lung resection for stage 1A non-small cell lung cancer based on the current staging system. J Thorac Cardiovasc Surg. 2012;143:390-397.
5. National Lung Screening Trial Research Team, Aberle DR, Adams AM, et al. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011;365:395-409.
6. Henschke CI, McCauley DI, Yankelevitz DF, et al. Early lung cancer action project: a summary of the findings on baseline screening. Oncologist. 2001; 6:147-152. (Pubitemid 32323453)
7. Swensen SJ, Jett JR, Hartman TE, et al. Lung cancer screening with CT: Mayo Clinic experience. Radiology. 2003;226:756-761. (Pubitemid 36259152)
8. Diederich S, Thomas M, Semik M, et al. Screening for early lung cancer with low-dose spiral computed tomography: results of annual follow-up examinations in asymptomatic smokers. Eur Radiol. 2004;14:691-702. (Pubitemid 38444585)
9. National Lung Screening Trial Research Team, Aberle DR, Berg CD, et al. The National Lung Screening Trial: overview and study design. Radiology. 2011;258:243-253.
10. Kalra MK, Maher MM, Toth TL, et al. Strategies for CT radiation dose optimization. Radiology. 2004;230:619-628. (Pubitemid 38252854)
11. Heyer CM, Mohr PS, Lemburg SP, et al. Image quality and radiation exposure at pulmonary CT angiography with 100- or 120-kVp protocol: prospective randomized study. Radiology. 2007;245:577-583. (Pubitemid 47612541)
12. Baumueller S, Alkadhi H, Stolzmann P, et al. Computed tomography of the lung in the high-pitch mode: is breath holding still required? Invest Radiol. 2011;46:240-245.
13. Kalra MK, Maher MM, Sahani DV, et al. Low-dose CT of the abdomen: evaluation of image improvement with use of noise reduction filters pilot study. Radiology. 2003;228:251-256. (Pubitemid 36736100)
14. Prakash P, Kalra MK, Digumarthy SR, et al. Radiation dose reduction with chest computed tomography using adaptive statistical iterative reconstruction technique: initial experience. J Comput Assist Tomogr. 2010;34:40-45.
15. Leipsic J, Labounty TM, Heilbron B, et al. Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary CT angiography. AJR Am J Roentgenol. 2010;195:649-654.
16. Singh S, Kalra MK, Hsieh J, et al. Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques. Radiology. 2010;257:373-383.
17. Prakash P, Kalra MK, Kambadakone AK, et al. Reducing abdominal CT radiation dose with adaptive statistical iterative reconstruction technique. Invest Radiol. 2010;45:202-210.
18. Singh S, Kalra MK, Gilman MD, et al. Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study. Radiology. 2011;259:565-573.
19. Kilic K, Erbas G, Guryildirim M, et al. Lowering the dose in head CT using adaptive statistical iterative reconstruction. AJNR Am J Neuroradiol. 2011; 32:1578-1582.
20. Mieville FA, Gudinchet F, Rizzo E, et al. Paediatric cardiac CT examinations: impact of the iterative reconstruction method ASIR on image qualityV preliminary findings. Pediatr Radiol. 2011;41:1154-1164.
21. Singh S, Kalra MK, Shenoy-Bhangle AS, et al. Radiation dose reduction with hybrid iterative reconstruction for pediatric CT. Radiology. 2012;263:537-546.
22. Craig O, O'Neill S, O'Neill F, et al. Diagnostic accuracy of computed tomography using lower doses of radiation for patients with Crohn's disease. Clin Gastroenterol Hepatol. 2012;10:886-892.
23. Desai GS, Uppot RN, Yu EW, et al. Impact of iterative reconstruction on image quality and radiation dose in multidetector CT of large body size adults. Eur Radiol. 2012;22:1631-1640.
24. Kaza RK, Platt JF, Al-Hawary MM, et al. CT enterography at 80 kVp with adaptive statistical iterative reconstruction versus at 120 kVp with standard reconstruction: image quality, diagnostic adequacy, and dose reduction. AJR Am J Roentgenol. 2012;198:1084-1092.
25. Thibault JB, Sauer KD, Bouman CA, et al. A three-dimensional statistical approach to improved image quality for multislice helical CT. Med Phys. 2007;34:4526-4544. (Pubitemid 350029675)
26. Yu Z, Thibault JB, Bouman CA, et al. Fast model-based x-ray CT reconstruction using spatially nonhomogeneous ICD optimization. IEEE Trans Image Process. 2011;20:161-175.
27. Nelson RC, Feuerlein S, Boll DT. New iterative reconstruction techniques for cardiovascular computed tomography: how do they work, and what are the advantages and disadvantages? J Cardiovasc Comput Tomogr. 2011;5:286-292.
28. Katsura M, Matsuda I, Akahane M, 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;22:1613-1623.
29. Singh S, Kalra MK, Do S, et al. Comparison of hybrid and pure iterative reconstruction techniques with conventional filtered back projection: dose reduction potential in the abdomen. J Comput Assist Tomogr. 2012;36:347-353.
30. Strub WM, Weiss KL, Sun D. Hybrid reconstruction kernel: optimized chest CT. AJR Am J Roentgenol. 2007;189:W115-W116.
31. Weiss KL, Cornelius RS, Greeley AL, et al. Hybrid convolution kernel: optimized CT of the head, neck, and spine. AJR Am J Roentgenol. 2011;196:403-406.
32. Prakash P, Kalra MK, Ackman JB, et al. Diffuse lung disease: CT of the chest with adaptive statistical iterative reconstruction technique. Radiology. 2010; 256:261-269.
33. American Association of Physicists in Medicine. The measurement, reporting, and management of radiation dose in CT; January 2008. Available at: http:// www.aapm.org/pubs/reports/rpt-96.pdf. Accessed September 30, 2012.
34. Chakraborty DP, Berbaum KS. Observer studies involving detection and localization: modeling, analysis, and validation. Med Phys. 2004;31:2313-2330. (Pubitemid 39079724)
35. Chakraborty DP. Analysis of location specific observer performance data: validated extensions of the jackknife free-response (JAFROC) method. Acad Radiol. 2006;13:1187-1193. (Pubitemid 44345253)
36. Vikgren J, Zachrisson S, Svalkvist A, et al. Comparison of chest tomosynthesis and chest radiography for detection of pulmonary nodules: human observer study of clinical cases. Radiology. 2008;249:1034-1041.
37. Hirose T, Nitta N, Shiraishi J, et al. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy. Acad Radiol. 2008;15:1505-1512.
38. Zachrisson S, Vikgren J, Svalkvist A, et al. Effect of clinical experience of chest tomosynthesis on detection of pulmonary nodules. Acta Radiol. 2009;50:884-891.
39. Yanagawa M, Honda O, Yoshida S, et al. Commercially available computer-aided detection system for pulmonary nodules on thin-section images using 64 detectorsrow CT: preliminary study of 48 cases. Acad Radiol. 2009;16:924-933.
40. Chakraborty DP. Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data. Med Phys. 1989;16:561-568. (Pubitemid 19224306)
41. Yamada Y, Jinzaki M, Tanami Y, et al. Model-based iterative reconstruction technique for ultralow-dose computed tomography of the lung: a pilot study. Invest Radiol. 2012;47:482-489.
42. Sone S, Li F, Yang ZG, et al. Results of three-year mass screening programme for lung cancer using mobile low-dose spiral computed tomography scanner. Br J Cancer. 2001;84:25-32. (Pubitemid 32102499)
43. Nawa T, Nakagawa T, Kusano S, et al. Lung cancer screening using low-dose spiral CT: results of baseline and 1-year follow-up studies. Chest. 2002; 122:15-20. (Pubitemid 34754137)
44. Sobue T, Moriyama N, Kaneko M, et al. Screening for lung cancer with lowdose helical computed tomography: anti-lung cancer association project. J Clin Oncol. 2002;20:911-920. (Pubitemid 34141832)
45. Gohagan JK, Marcus PM, Fagerstrom RM, et al. Final results of the Lung Screening Study, a randomized feasibility study of spiral CT versus chest x-ray screening for lung cancer. Lung Cancer. 2005;47:9-15. (Pubitemid 39643237)