Skip to main content
Top
Published in: Pediatric Radiology 7/2017

01-06-2017 | Original Article

Single-energy pediatric chest computed tomography with spectral filtration at 100 kVp: effects on radiation parameters and image quality

Authors: Boris Bodelle, Constanze Fischbach, Christian Booz, Ibrahim Yel, Claudia Frellesen, Moritz Kaup, Martin Beeres, Thomas J. Vogl, Jan-Erik Scholtz

Published in: Pediatric Radiology | Issue 7/2017

Login to get access

Abstract

Background

Most of the applied radiation dose at CT is in the lower photon energy range, which is of limited diagnostic importance.

Objective

To investigate image quality and effects on radiation parameters of 100-kVp spectral filtration single-energy chest CT using a tin-filter at third-generation dual-source CT in comparison to standard 100-kVp chest CT.

Materials and methods

Thirty-three children referred for a non-contrast chest CT performed on a third-generation dual-source CT scanner were examined at 100 kVp with a dedicated tin filter with a tube current–time product resulting in standard protocol dose. We compared resulting images with images from children examined using standard single-source chest CT at 100 kVp. We assessed objective and subjective image quality and compared radiation dose parameters.

Results

Radiation dose was comparable for children 5 years old and younger, and it was moderately decreased for older children when using spectral filtration (P=0.006). Effective tube current increased significantly (P=0.0001) with spectral filtration, up to a factor of 10. Signal-to-noise ratio and image noise were similar for both examination techniques (P≥0.06). Subjective image quality showed no significant differences (P≥0.2).

Conclusion

Using 100-kVp spectral filtration chest CT in children by means of a tube-based tin-filter on a third-generation dual-source CT scanner increases effective tube current up to a factor of 10 to provide similar image quality at equivalent dose compared to standard single-source CT without spectral filtration.
Literature
1.
go back to reference Henschke CI, Naidich DP, Yankelevitz DF et al (2001) Early lung cancer action project: initial findings on repeat screenings. Cancer 92:153–159CrossRefPubMed Henschke CI, Naidich DP, Yankelevitz DF et al (2001) Early lung cancer action project: initial findings on repeat screenings. Cancer 92:153–159CrossRefPubMed
2.
go back to reference National Lung Screening Trial Research Team, Aberle DR, Adams AM et al (2011) Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med 365:395–409CrossRef National Lung Screening Trial Research Team, Aberle DR, Adams AM et al (2011) Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med 365:395–409CrossRef
3.
go back to reference Linton OW, Mettler FA Jr (2003) National conference on dose reduction in CT, with an emphasis on pediatric patients. AJR Am J Roentgenol 181:321–329CrossRefPubMed Linton OW, Mettler FA Jr (2003) National conference on dose reduction in CT, with an emphasis on pediatric patients. AJR Am J Roentgenol 181:321–329CrossRefPubMed
4.
go back to reference Yates SJ, Pike LC, Goldstone KE (2004) Effect of multislice scanners on patient dose from routine CT examinations in East Anglia. Br J Radiol 77:472–478CrossRefPubMed Yates SJ, Pike LC, Goldstone KE (2004) Effect of multislice scanners on patient dose from routine CT examinations in East Anglia. Br J Radiol 77:472–478CrossRefPubMed
5.
go back to reference Brenner DJ, Hall EJ (2007) Computed tomography — an increasing source of radiation exposure. N Engl J Med 357:2277–2284CrossRefPubMed Brenner DJ, Hall EJ (2007) Computed tomography — an increasing source of radiation exposure. N Engl J Med 357:2277–2284CrossRefPubMed
6.
go back to reference Pearce MS, Salotti JA, Little MP et al (2012) Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study. Lancet Lond Engl 380:499–505CrossRef Pearce MS, Salotti JA, Little MP et al (2012) Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study. Lancet Lond Engl 380:499–505CrossRef
7.
go back to reference Mathews JD, Forsythe AV, Brady Z et al (2013) Cancer risk in 680,000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians. BMJ 346:f2360CrossRefPubMedPubMedCentral Mathews JD, Forsythe AV, Brady Z et al (2013) Cancer risk in 680,000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians. BMJ 346:f2360CrossRefPubMedPubMedCentral
8.
go back to reference Fleischmann D, Boas FE (2011) Computed tomography — old ideas and new technology. Eur Radiol 21:510–517CrossRefPubMed Fleischmann D, Boas FE (2011) Computed tomography — old ideas and new technology. Eur Radiol 21:510–517CrossRefPubMed
9.
go back to reference Greess H, Nömayr A, Wolf H et al (2002) Dose reduction in CT examination of children by an attenuation-based on-line modulation of tube current (CARE Dose). Eur Radiol 12:1571–1576CrossRefPubMed Greess H, Nömayr A, Wolf H et al (2002) Dose reduction in CT examination of children by an attenuation-based on-line modulation of tube current (CARE Dose). Eur Radiol 12:1571–1576CrossRefPubMed
10.
go back to reference Kalra MK, Maher MM, Toth TL et al (2004) Techniques and applications of automatic tube current modulation for CT. Radiology 233:649–657CrossRefPubMed Kalra MK, Maher MM, Toth TL et al (2004) Techniques and applications of automatic tube current modulation for CT. Radiology 233:649–657CrossRefPubMed
11.
go back to reference Stumpp P, Gosch D, Kühn A et al (2012) Performance of an automatic dose control system for CT: patient studies. RöFo 185:144–152PubMed Stumpp P, Gosch D, Kühn A et al (2012) Performance of an automatic dose control system for CT: patient studies. RöFo 185:144–152PubMed
12.
go back to reference Molinari F, Tack D, Boiselle P et al (2012) Radiation dose management in thoracic CT: an international survey. Diagn Interv Radiol 19:201–209 Molinari F, Tack D, Boiselle P et al (2012) Radiation dose management in thoracic CT: an international survey. Diagn Interv Radiol 19:201–209
13.
go back to reference Pourjabbar S, Singh S, Kulkarni N et al (2014) Dose reduction for chest CT: comparison of two iterative reconstruction techniques. Acta Radiol 56:688–695CrossRefPubMed Pourjabbar S, Singh S, Kulkarni N et al (2014) Dose reduction for chest CT: comparison of two iterative reconstruction techniques. Acta Radiol 56:688–695CrossRefPubMed
14.
go back to reference Lee SW, Kim Y, Shim SS et al (2014) Image quality assessment of ultra low-dose chest CT using sinogram-affirmed iterative reconstruction. Eur Radiol 24:817–826CrossRefPubMed Lee SW, Kim Y, Shim SS et al (2014) Image quality assessment of ultra low-dose chest CT using sinogram-affirmed iterative reconstruction. Eur Radiol 24:817–826CrossRefPubMed
15.
go back to reference Wang H, Tan B, Zhao B et al (2013) Raw-data-based iterative reconstruction versus filtered back projection: image quality of low-dose chest computed tomography examinations in 87 patients. Clin Imaging 37:1024–1032CrossRefPubMed Wang H, Tan B, Zhao B et al (2013) Raw-data-based iterative reconstruction versus filtered back projection: image quality of low-dose chest computed tomography examinations in 87 patients. Clin Imaging 37:1024–1032CrossRefPubMed
16.
go back to reference Kalender WA, Wolf H, Suess C (1999) Dose reduction in CT by anatomically adapted tube current modulation. II. Phantom measurements. Med Phys 26:2248–2253CrossRefPubMed Kalender WA, Wolf H, Suess C (1999) Dose reduction in CT by anatomically adapted tube current modulation. II. Phantom measurements. Med Phys 26:2248–2253CrossRefPubMed
17.
go back to reference Singh S, Kalra MK, Moore MA et al (2009) Dose reduction and compliance with pediatric CT protocols adapted to patient size, clinical indication, and number of prior studies. Radiology 252:200–208CrossRefPubMed Singh S, Kalra MK, Moore MA et al (2009) Dose reduction and compliance with pediatric CT protocols adapted to patient size, clinical indication, and number of prior studies. Radiology 252:200–208CrossRefPubMed
18.
go back to reference Haubenreisser H, Meyer M, Sudarski S et al (2015) Unenhanced third-generation dual-source chest CT using a tin filter for spectral shaping at 100 kVp. Eur J Radiol 84:1608–1613CrossRefPubMed Haubenreisser H, Meyer M, Sudarski S et al (2015) Unenhanced third-generation dual-source chest CT using a tin filter for spectral shaping at 100 kVp. Eur J Radiol 84:1608–1613CrossRefPubMed
19.
go back to reference Primak AN, Ramirez Giraldo JC, Liu X et al (2009) Improved dual-energy material discrimination for dual-source CT by means of additional spectral filtration. Med Phys 36:1359–1369CrossRefPubMedPubMedCentral Primak AN, Ramirez Giraldo JC, Liu X et al (2009) Improved dual-energy material discrimination for dual-source CT by means of additional spectral filtration. Med Phys 36:1359–1369CrossRefPubMedPubMedCentral
20.
go back to reference Gordic S, Morsbach F, Schmidt B et al (2014) Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping. Invest Radiol 49:465–473CrossRefPubMed Gordic S, Morsbach F, Schmidt B et al (2014) Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping. Invest Radiol 49:465–473CrossRefPubMed
21.
go back to reference Braun FM, Johnson TRC, Sommer WH et al (2015) Chest CT using spectral filtration: radiation dose, image quality, and spectrum of clinical utility. Eur Radiol 25:1598–1606CrossRefPubMed Braun FM, Johnson TRC, Sommer WH et al (2015) Chest CT using spectral filtration: radiation dose, image quality, and spectrum of clinical utility. Eur Radiol 25:1598–1606CrossRefPubMed
22.
go back to reference Likert R (1932) A technique for the measurement of attitudes. Arch Psychol 140:1–55 Likert R (1932) A technique for the measurement of attitudes. Arch Psychol 140:1–55
23.
go back to reference Allen I, Seaman C (2007) Likert scales and data analyses. Health Manag Database 40:64 Allen I, Seaman C (2007) Likert scales and data analyses. Health Manag Database 40:64
25.
go back to reference Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 20:37–46CrossRef Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 20:37–46CrossRef
26.
go back to reference Saltybaeva N, Martini K, Frauenfelder T et al (2016) Organ dose and attributable cancer risk in lung cancer screening with low-dose computed tomography. PLoS One 11, e0155722CrossRefPubMedPubMedCentral Saltybaeva N, Martini K, Frauenfelder T et al (2016) Organ dose and attributable cancer risk in lung cancer screening with low-dose computed tomography. PLoS One 11, e0155722CrossRefPubMedPubMedCentral
27.
go back to reference Martini K, Barth BK, Nguyen-Kim TDL et al (2016) Evaluation of pulmonary nodules and infection on chest CT with radiation dose equivalent to chest radiography: prospective intra-individual comparison study to standard dose CT. Eur J Radiol 85:360–365CrossRefPubMed Martini K, Barth BK, Nguyen-Kim TDL et al (2016) Evaluation of pulmonary nodules and infection on chest CT with radiation dose equivalent to chest radiography: prospective intra-individual comparison study to standard dose CT. Eur J Radiol 85:360–365CrossRefPubMed
28.
go back to reference Leipsic J, Labounty TM, Heilbron B et al (2010) Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary CT angiography. AJR Am J Roentgenol 195:649–654CrossRefPubMed Leipsic J, Labounty TM, Heilbron B et al (2010) Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary CT angiography. AJR Am J Roentgenol 195:649–654CrossRefPubMed
29.
go back to reference Silva AC, Lawder HJ, Hara A et al (2010) Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. AJR Am J Roentgenol 194:191–199CrossRefPubMed Silva AC, Lawder HJ, Hara A et al (2010) Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. AJR Am J Roentgenol 194:191–199CrossRefPubMed
30.
go back to reference Jensen K, Aaløkken TM, Tingberg A et al (2016) Image quality in oncologic chest computerized tomography with iterative reconstruction: a phantom study. J Comput Assist Tomogr 40:351–356CrossRefPubMed Jensen K, Aaløkken TM, Tingberg A et al (2016) Image quality in oncologic chest computerized tomography with iterative reconstruction: a phantom study. J Comput Assist Tomogr 40:351–356CrossRefPubMed
31.
go back to reference Kim Y, Kim YK, Lee BE et al (2015) Ultra-low-dose CT of the thorax using iterative reconstruction: evaluation of image quality and radiation dose reduction. AJR Am J Roentgenol 204:1197–1202CrossRefPubMed Kim Y, Kim YK, Lee BE et al (2015) Ultra-low-dose CT of the thorax using iterative reconstruction: evaluation of image quality and radiation dose reduction. AJR Am J Roentgenol 204:1197–1202CrossRefPubMed
32.
go back to reference Rompel O, Glöckler M, Janka R et al (2016) Third-generation dual-source 70-kVp chest CT angiography with advanced iterative reconstruction in young children: image quality and radiation dose reduction. Pediatr Radiol 46:462–472CrossRefPubMed Rompel O, Glöckler M, Janka R et al (2016) Third-generation dual-source 70-kVp chest CT angiography with advanced iterative reconstruction in young children: image quality and radiation dose reduction. Pediatr Radiol 46:462–472CrossRefPubMed
Metadata
Title
Single-energy pediatric chest computed tomography with spectral filtration at 100 kVp: effects on radiation parameters and image quality
Authors
Boris Bodelle
Constanze Fischbach
Christian Booz
Ibrahim Yel
Claudia Frellesen
Moritz Kaup
Martin Beeres
Thomas J. Vogl
Jan-Erik Scholtz
Publication date
01-06-2017
Publisher
Springer Berlin Heidelberg
Published in
Pediatric Radiology / Issue 7/2017
Print ISSN: 0301-0449
Electronic ISSN: 1432-1998
DOI
https://doi.org/10.1007/s00247-017-3813-1

Other articles of this Issue 7/2017

Pediatric Radiology 7/2017 Go to the issue

Minisymposium: Quality and clinical practice management

24/7 pediatric radiology attending coverage: times are changing

Minisymposium: Quality and clinical practice management

Improving efficiency in the radiology department