Rofo 2016; 188(02): 155-162
DOI: 10.1055/s-0041-107200
Neuroradiology
© Georg Thieme Verlag KG Stuttgart · New York

Reducing Radiation Dose in Adult Head CT using Iterative Reconstruction – A Clinical Study in 177 Patients

Dosisreduktion bei der cranialen CT mit Hilfe iterativer Rekonstruktion – eine klinische Studie an 177 Patienten
D. Kaul
1   Department of Radiology, Charité School of Medicine and University Hospital, Berlin, Germany
2   Department of Radiation Oncology, Charité School of Medicine and University Hospital, Berlin, Germany
,
J. Kahn
1   Department of Radiology, Charité School of Medicine and University Hospital, Berlin, Germany
,
L. Huizing
1   Department of Radiology, Charité School of Medicine and University Hospital, Berlin, Germany
,
E. Wiener
1   Department of Radiology, Charité School of Medicine and University Hospital, Berlin, Germany
,
U. Grupp
1   Department of Radiology, Charité School of Medicine and University Hospital, Berlin, Germany
,
G. Böning
1   Department of Radiology, Charité School of Medicine and University Hospital, Berlin, Germany
,
P. Ghadjar
2   Department of Radiation Oncology, Charité School of Medicine and University Hospital, Berlin, Germany
,
D. M. Renz
3   Department of Radiology, Jena University Hospital, Jena, Germany
,
F. Streitparth
1   Department of Radiology, Charité School of Medicine and University Hospital, Berlin, Germany
› Author Affiliations
Further Information

Publication History

25 May 2015

01 September 2015

Publication Date:
03 November 2015 (online)

Abstract

Purpose: To assess how ASIR (adaptive statistical iterative reconstruction) contributes to dose reduction and affects image quality of non-contrast cranial computed tomography (cCT).

Materials and Methods: Non-contrast emergency CT scans of the head acquired in 177 patients were evaluated. The scans were acquired and processed using four different protocols: Group A (control): 120 kV, FBP (filtered back projection) n = 71; group B1: 120 kV, scan and reconstruction performed with 20 % ASIR (blending of 20 % ASIR and 80 % FBP), n = 86; group B2: raw data from group B1 reconstructed using a blending of 40 % ASIR and 60 % FBP, n = 74; group C1: 120 kV, scan and reconstruction performed with 30 % ASIR, n = 20; group C2: raw data from group C1 reconstructed using a blending of 50 % ASIR and 50 % FBP, n = 20. The effective dose was calculated. Image quality was assessed quantitatively and qualitatively.

Results: Compared to group A, groups B1/2 and C1/2 showed a significantly reduced effective dose of 40.4 % and 73.3 % (p < 0.0001), respectively. Group B1 and group C1/2 also showed significantly reduced quantitative and qualitative image quality parameters. In group B2, quantitative measures were comparable to group A, and qualitative scores were lower compared to group A but higher compared to group B1. Diagnostic confidence grading showed groups B1/2 to be adequate for everyday clinical practice. Group C2 was considered acceptable for follow-up imaging of severe acute events such as bleeding or subacute stroke.

Conclusion: Use of ASIR makes it possible to reduce radiation significantly while maintaining adequate image quality in non-contrast head CT, which may be particularly useful for younger patients in an emergency setting and in follow-up.

Key Points:

• ASIR may reduce radiation significantly while maintaining adequate image quality

• cCT protocol with 20 % ASIR and 40 %ASIR/60 %FBP blending is adequate for everyday clinical use

• cCT protocol with 30 % ASIR and 50 %ASIR/50 %FBP blending is adequate for follow-up imaging

Citation Format:

• Kaul D, Kahn J, Huizing L et al. Reducing Radiation Dose in Adult Head CT using Iterative Reconstruction – A Clinical Study in 177 Patients. Fortschr Röntgenstr 2016; 188: 155 – 162

Zusammenfassung

Ziel: Es war das Ziel dieser Studie zu untersuchen, inwiefern die adaptive statistische iterative Rekonstruktion (ASIR) zur Dosisreduktion bei der nativen, craniellen Computertomografie (cCT) beitragen kann und welchen Einfluss sie auf die Bildqualität hat.

Material und Methoden: Es wurden 177 native cCT unter Notfallbedingungen durchgeführt. Insgesamt wurden 4 verschiedene Protokolle genutzt: Gruppe A (Kontrollgruppe): 120 kV, FBP (filtered back projection) n = 71; Gruppe B1: 120 kV, Scan und Rekonstruktion durchgeführt mit 20 % ASIR (Überblendung von 20 % ASIR und 80 % FBP), n = 86; Gruppe B2: Rohdaten aus Gruppe B1 wurden mit einer Überblendung von 40 % ASIR und 60 % FBP rekonstruiert, n = 74; Gruppe C1: 120 kV, Scan und Rekonstruktion durchgeführt mit 30 % ASIR, n = 20; Gruppe C2: Rohdaten aus Gruppe C1 wurden mit einer Überblendung von of 50 % ASIR and 50 % FBP rekonstruiert, n = 20. Die Effektivdosis aller CTs wurde berechnet; die Bildqualität wurde sowohl quantitativ als auch qualitativ evaluiert.

Ergebnisse: Im Vergleich zur Gruppe A zeigten die Gruppen B1/2 und C1/2 eine signifikant reduzierte Effektivdosis von 40,4 % und 73,3 % (p < 0,0001). Die Gruppen B1 und die Gruppen C1/2 zeigten dabei eine signifikant verminderte quantitative und qualitative Bildqualität. Die Gruppe B2 zeigte mit der Kontrollgruppe A vergleichbare Werte in der quantitativen Analyse, die qualitative Analyse zeigte schlechtere Werte als die Kontrollgruppe aber bessere Werte als Gruppe B1. Die diagnostische Konfidenz der Gruppen B1/2 war hoch genug für den routinemäßigen Gebrauch in der Klinik. Die diagnostische Konfidenz der Gruppe C2 war hoch genug für Folgebildgebungen bei vordiagnostizierten intracraniellen Blutungen und subakutem Schlaganfall.

Schlussfolgerung: ASIR bietet die Möglichkeit zur signifikanten Reduktion der Effektivdosis von craniellen CT bei ausreichend hoher Bildqualität für den täglichen klinischen Gebrauch. Dies ist insbesondere bei jungen Patienten und bei mehrfachen Folgeuntersuchungen von Vorteil.

Kernaussagen:

• Durch ASIR kann die Dosisexposition bei klinisch adäquater Bildqualität signifikant vermindert werden

• 20 % ASIR cCT mit 40 %ASIR/60 %FBP Überblendung sind ausreichend für täglichen klinischen Gebrauch

• 30 % ASIR cCTs mit 50 %ASIR/50 %FBP Überblendung sind ausreichend für Folgebildgebungen

 
  • References

  • 1 Hall EJ, Brenner DJ. Cancer risks from diagnostic radiology. The British journal of radiology 2008; 81: 362-378
  • 2 [Anonymous]. Radiation exposures from medical applications. In. Salzgitter: Bundesamt für Strahlenschutz; 2012
  • 3 Pearce MS, Salotti JA, Little MP et al. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study. Lancet 2012; 380: 499-505
  • 4 Kalender WA, Wolf H, Suess C. Dose reduction in CT by anatomically adapted tube current modulation. II. Phantom measurements. Medical physics 1999; 26: 2248-2253
  • 5 McCollough CH, Bruesewitz MR, Kofler JM et al. CT dose reduction and dose management tools: overview of available options. Radiographics: a review publication of the Radiological Society of North America, Inc 2006; 26: 503-512
  • 6 Kilic K, Erbas G, Guryildirim M et al. Quantitative and qualitative comparison of standard-dose and low-dose pediatric head computed tomography: a retrospective study assessing the effect of adaptive statistical iterative reconstruction. Journal of computer assisted tomography 2013; 37: 377-381
  • 7 Alkim E, Gurbuz E, Kilic E. A fast and adaptive automated disease diagnosis method with an innovative neural network model. Neural networks: the official journal of the International Neural Network Society 2012; 33: 88-96
  • 8 Willemink MJ, de Jong PA, Leiner T et al. Iterative reconstruction techniques for computed tomography Part 1: technical principles. European radiology 2013; 23: 1623-1631
  • 9 Willemink MJ, Leiner T, de Jong PA et al. Iterative reconstruction techniques for computed tomography part 2: initial results in dose reduction and image quality. European radiology 2013; 23: 1632-1642
  • 10 Wu TH, Hung SC, Sun JY et al. How far can the radiation dose be lowered in head CT with iterative reconstruction? Analysis of imaging quality and diagnostic accuracy. European radiology 2013; 23: 2612-2621
  • 11 Kilic K, Erbas G, Guryildirim M et al. Lowering the dose in head CT using adaptive statistical iterative reconstruction. AJNR American journal of neuroradiology 2011; 32: 1578-1582
  • 12 Korn A, Bender B, Fenchel M et al. Sinogram affirmed iterative reconstruction in head CT: improvement of objective and subjective image quality with concomitant radiation dose reduction. European journal of radiology 2013; 82: 1431-1435
  • 13 Mueck FG, Korner M, Scherr MK et al. Upgrade to iterative image reconstruction (IR) in abdominal MDCT imaging: a clinical study for detailed parameter optimization beyond vendor recommendations using the adaptive statistical iterative reconstruction environment (ASIR). RoFo: Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin 2012; 184: 229-238
  • 14 [Anonymous]. The measurement, reporting, and management of radiation dose in CT: report of AAPM Task Group 23 of the Diagnostic Imaging Council CT Committee. In, AAPM report no 96: American Association of Physicists in Medicine; 2008
  • 15 Smith-Bindman R, Lipson J, Marcus R et al. Radiation dose associated with common computed tomography examinations and the associated lifetime attributable risk of cancer. Archives of internal medicine 2009; 169: 2078-2086
  • 16 Kaul D, Grupp U, Kahn J et al. Reducing radiation dose in the diagnosis of pulmonary embolism using adaptive statistical iterative reconstruction and lower tube potential in computed tomography. European radiology 2014; 24: 2685-2691
  • 17 Kahn J, Grupp U, Rotzinger R et al. CT for evaluation of potential renal donors – how does iterative reconstruction influence image quality and dose?. European journal of radiology 2014; 83: 1332-1336
  • 18 Grupp U, Schafer ML, Meyer H et al. Reducing Radiation Dose in Emergency CT Scans While Maintaining Equal Image Quality: Just a Promise or Reality for Severely Injured Patients?. Emergency medicine international 2013; 2013: 984645
  • 19 Ren Q, Dewan SK, Li M et al. Comparison of adaptive statistical iterative and filtered back projection reconstruction techniques in brain CT. European journal of radiology 2012; 81: 2597-2601
  • 20 Haubenreisser H, Fink C, Nance Jr JW et al. Feasibility of slice width reduction for spiral cranial computed tomography using iterative image reconstruction. European journal of radiology 2014; 83: 964-969
  • 21 Komlosi P, Zhang Y, Leiva-Salinas C et al. Adaptive statistical iterative reconstruction reduces patient radiation dose in neuroradiology CT studies. Neuroradiology 2014; 56: 187-193
  • 22 Jensen K, Martinsen AC, Tingberg A et al. Comparing five different iterative reconstruction algorithms for computed tomography in an ROC study. European radiology 2014; 24: 2989-3002